Continuous Dataset Example Jobs Remote Jobs in Usa

Position Summary

The Demand Planner is responsible for developing and maintaining accurate demand forecasts to support Midland Industries’ inventory, purchasing, and sales planning processes. This role analyzes historical sales data, market trends, seasonality, and customer demand patterns to create reliable forecasts that optimize inventory levels and ensure product availability across Midland’s distribution network.

The Demand Planner works cross-functionally with Sales, Purchasing, Product Management, and Operations to improve forecast accuracy, reduce excess inventory, and support Midland’s service level goals.

KEY RESPONSIBILITIES

Demand Forecasting

• Utilize Demand planning tool to provide insights and forecasts to the business.
• Develop and maintain monthly demand forecasts at the product, category, and regional levels.
• Analyze historical sales data, trends, seasonality, and promotional impacts to generate accurate forecasts.
• Monitor forecast accuracy and continuously improve forecasting models.

Inventory Optimization

• Partner with purchasing and supply chain teams to align demand forecasts with inventory planning.
• Identify potential shortages, excess inventory, and slow-moving items.
• Lead excess and obsolete inventory initiatives to action it with business leadership support (cost reductions or dispose of it).
• Recommend inventory adjustments to support service level targets and working capital goals.
• Evaluate DC specific turns and reprofile inventory across the North America DC network to best optimize service levels to our customer base.

Sales & Operations Planning (S&OP)

• Participate in the monthly S&OP process by providing demand insights and forecast updates.
• Collaborate with Sales, Product Management, and leadership to incorporate market intelligence into forecasts.
• Lead demand consensus meetings with Sales, and Product Management.
• Present demand outlook and risks to internal stakeholders.

Data Analysis & Reporting

• Maintain forecasting systems, dashboards, and reports to track demand trends and forecast accuracy.
• Conduct variance analysis between forecast and actual sales.
• Provide insights on demand drivers, product lifecycle changes, and market trends.
• Manage inventory reporting and forecasting.

Cross-Functional Collaboration

• Work closely with Sales and Product teams to understand upcoming promotions, product launches, and customer demand shifts.
• Communicate forecast changes to purchasing and supply chain teams to ensure timely replenishment.

Continuous Improvement

• Identify opportunities to improve forecasting tools, processes, and data quality.
• Support system enhancements related to demand planning, inventory planning, and ERP forecasting tools.

QUALIFICATIONS

Education

• Bachelor’s degree in Supply Chain, Business, Finance, Data Analytics, or related field preferred.

Experience

• 3–6 years of experience in demand planning, supply chain analytics, inventory planning, or forecasting.
• Experience in distribution, manufacturing, or industrial products preferred.
• Experience working with ERP systems and forecasting tools.

Skills

• Strong analytical and quantitative skills.
• Advanced proficiency in Excel and data analysis tools.
• Ability to interpret large datasets and translate insights into actionable plans.
• Strong communication skills with the ability to work cross-functionally.
• High attention to detail and strong organizational skills.

Preferred

• Experience with demand planning or forecasting software.
• Experience in industrial distribution or wholesale supply environments.
• Knowledge of inventory management principles and S&OP processes.

Key Performance Metrics

• Forecast accuracy
• DIO & Inventory turns
• Service level / fill rate
• Inventory carrying cost
• Reduction of stockouts and excess inventory

What Success Looks Like

• Improved forecast accuracy and inventory visibility.
• Improved service levels to our customers.
• Better alignment between sales demand and purchasing plans.
• Reduced excess inventory while maintaining strong customer service levels.

Physical Requirements

• Prolonged periods of sitting at a desk and working on a computer.

An Equal Opportunity Employer

We do not discriminate based on race, color, religion, national origin, sex, age, disability, genetic information, or any other status protected by law or regulation. It is our intention that all qualified applicants are given equal opportunity and that selection decisions be based on job-related factors.

Job Title: Exposure Management North America Commercial Property (NACP) Lead Analyst

Division: Exposure Management, General Management

Reports To: Exposure Management Property Risks Lead

Key Relationships: Exposure Management, NACP Underwriters, Property Underwriting and Claims Operations (UCO), IT, other support functions.

Job Summary: To provide managerial support to the Property Risks Exposure Management North America Commercial Property (NACP) Catastrophe and Exposure Analysts for Catastrophe Modelling Quoting, Bound risk entry and monthly portfolio roundup.

Key Responsibilities:

• Provide day to day management for NACP Catastrophe and Exposure Analysts, including performance management, training and development.

• Ensure data quality for NACP, through formal entry Quality Control process and monthly Quality Control checks.

• Ensure consistency between data in the underwriting system and Exposure Management data.

• Ensure monthly entry/reporting deadlines for NACP Catastrophe Modelling are met.

• Ensure NACP quotes are completed in a timely manner.

• Assist in the development of Exposure Management NACP workflows for quoting and bound risks

• Responsible for monitoring external data cleansing service provider usage.

• Provide support for Exposure Management NACP monthly modelling process.

• Production of regular and ad hoc management information for presentation or distribution to the NACP team.

• Support the underwriting risk assessment process.

• Provide data to underwriters to assist in portfolio optimisation.

Other responsibilities:

• Prepare and provide statistics and information in order to serve the requirements of underwriters and clients.

• Respond to client queries in an accurate and timely fashion to develop the brand image of Beazley.

• Liaise with external data input clerks and respective underwriters.

• Provide a professional service to underwriters and UCO in person, by email and on the telephone.

• Produce ad hoc reports for the underwriters and other members of staff when requested.

Essential Criteria:

• Minimum of 5 years of experience with Moody's (RMS) modelling software
• Management experience preferred

• Ability to analyse large datasets and produce actionable insights.

• Strong written and verbal communication skills for presenting technical findings.

Who We Are:

Beazley is a specialist insurance company with over 30 years' experience helping people, communities and businesses to manage risk all around the world. Our mission is to inspire our clients and people with the confidence and freedom to explore, create and build - to enable businesses to thrive. Our clients want to live and work freely and fully, knowing they are benefitting from the most advanced thinking in the insurance market. Our goal is to become the highest performing sustainable specialist insurer.

Our products are wide ranging, from cyber & tech insurance to marine, healthcare, financial institutions and contingency; covering risks such as the weather, film production or protection from deadly weapons.

Our Culture

We have a wonderful mix of cultures, experiences, and backgrounds at Beazley with over 2,000 of us working around the world. Employee's diversity, experience and passion allow us to keep innovating and moving forward, delivering the best. We are proud of our family-feel culture at Beazley that empowers our staff to work from when and where they want, in an adult environment that is big on collaboration, diversity of thought and personal accountability. Our three core values inspire the way we work and how we treat our people and customers.

• Be bold
• Strive for better
• Do the right thing

Upholding these values every day has enabled us to become an innovative and responsive organization in touch with the changing world around us - our ambitious inclusion & diversity and sustainability targets are testament to this.

We are a flexible and innovative employer offering a friendly, collaborative, and inclusive working environment. We actively encourage and expect applications from all backgrounds. Our commitment to fostering a supportive and dynamic workplace ensures that every employee can thrive and contribute to our collective success.

Explore a variety of networks to assist with professional and/or personal development. Our Employee Networks include:

• Beazley RACE - Including, understanding and celebrating People of Colour
• Beazley SHE - Successful, High potential, Empowered women in insurance
• Beazley Proud - Our global LGBTQ+ community
• Beazley Wellbeing - Supporting employees with their mental wellbeing
• Beazley Families - Supporting families and parents-to-be

We encourage internal career progression at Beazley, giving you all the tools you need to drive your own career here, such as:

• Internal Pathways (helping you grow into an underwriting role)
• iLearn (our own learning & development platform)
• LinkedIn Learning
• Mentorship program
• External qualification sponsorship
• Continuing education and tuition reimbursement
• Secondment assignments

The Rewards

• The opportunity to connect and build long-lasting professional relationships while advancing your career with a growing, dynamic organization
• Attractive base compensation and discretionary performance related bonus
• Competitively priced medical, dental and vision insurance
• Company paid life, and short- and long-term disability insurance
• 401(k) plan with 5% company match and immediate vesting
• 22 days PTO (prorated for 1st calendar year of employment), 11 paid holidays per year, with the ability to flex the religious bank holidays to suit your religious beliefs
• Up to $700 reimbursement for home office setup
• Free in-office lunch, travel reimbursement for travel to office, and monthly lifestyle allowance
• Up to 26 weeks of fully paid parental leave
• Up to 2.5 days paid annually for volunteering at a charity of your choice
• Flexible working policy, trusting our employees to do what works best for them and their teams

Salary for this role will be tailored to the successful individual's location and experience. The expected compensation range for this position is $120,000-$165,000 per year plus discretionary annual bonus.

Don't meet all the requirements? At Beazley we're committed to building a diverse, inclusive, and authentic workplace. If you're excited about this role but your experience doesn't perfectly align with every requirement and qualification in the job specification, we encourage you to apply anyway. You might just be the right candidate for this, or one of our other roles.

Open date: February 25, 2026

Next review date: Wednesday, Mar 11, 2026 at 11:59pm (Pacific Time)

Apply by this date to ensure full consideration by the committee.

Final date: Friday, Mar 27, 2026 at 11:59pm (Pacific Time)

Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.

The Department of Molecular and Cellular Biology at the University of California, Berkeley seeks applications for up to three Junior/Assistant/Associate/Full Specialist positions in the Upadhyayula Lab, in the area of Biological Science .

The Advanced BioImaging Center (ABC) at UC Berkeley aspires to be a world leading multidisciplinary imaging center that drives important biological discoveries through critical new advances in all aspects of imaging technology and that drives the dissemination of that technology through a multi-pronged education strategy to scientists around the world. ABC was intentionally designed to maximize scientific productivity and impact by adopting groundbreaking imaging technologies such as the next-generation adaptive optical multifunctional microscope, incorporating the high-level technical expertise of instrumentation scientists , applied mathematicians, and computational scientists, and building worldwide collaborations aimed at tackling the challenges posed by terabyte and petabyte-scale imaging data processing, visualization, and dissemination. You will have access to leading - edge imaging and computing hardware, as well as exposure to the Bay Area's brightest minds from a range of diverse disciplines, including in the fields of Artificial Intelligence, Data Science, Mathematics, and more.

The positions involve close collaboration on a number of new and ongoing empirical projects in the fields of microscopy and data analysis. The incumbent will work on tera-to-petabyte scale research data and will have the opportunity to gain exposure to and training with a broad set of research topics and methodologies. The roles exercise judgment within generally defined practices and policies in selecting methods and techniques for obtaining solutions.

The duties of the positions include:

* Operate and maintain the next generation multi-functional adaptive optical microscope(s) and other pre-commercial optical microscopes.

* Develop new imaging and data processing tools

* Assist with data acquisition using advance pre-commercial microscopy systems to image biological samples ranging from cells in culture, such as bacteria, mammalian cells, and organoids to intact organisms, such as zebrafish or mice, etc.

* Be involved in the applications of these tools for biological imaging; collaborate with Postdocs and graduate students on specific projects to test, learn and implement for general and specific use cases.

* Be an integral part of the expert team working together with computational scientists and biologists in experimental design to tackle complex biological questions in a quantitative manner.

* Train and assist students and researchers in the use of software applications

* Train and assist users with their imaging or data processing tasks.

* May supervise undergraduate students.

* General organization and management of software documentation.

Lab:

Contract: resources/employment-policies-contracts/bargaining-units/academic-researchers/contract/

Bachelor's degree (or equivalent international degree) or enrollment in a Bachelor's (or equivalent international degree) program.

Bachelor's degree (or equivalent international degree)

Degree field of molecular & cell biology, computational biology, computer science, math, physics or related field.

Research experience in computational biology, computer science, math, physics or related field.

Experience with programming (C++, Labview, MATLAB, python).

Experience with design, documentation, testing and implementation of high performance software for image processing.

Experience with CI/CD for software deployment.

Experience developing software for tera-to petabyte scale imaging applications.

Ability to work on a number of projects simultaneously.

Organized and attentive to detail.

Strong written and oral communication skills.

Interest in learning new techniques.

Upper division course in genetics is strongly preferred.

Coursework in molecular biology and biochemistry.

Proficiency in bioinformatics.

Computational analysis of datasets.

Basic molecular biology techniques.

Ability to design and interpret experiments.

Ability to prepare figures for manuscripts.

Demonstrated proficiency to work as part of a research team.

• Curriculum Vitae - Your most recently updated C.V.

  
  

• Cover Letter

  
  

• Statement of Research (Optional)

  
  

• 3 required (contact information only)

Help contact:

UC Berkeley is committed to diversity, equity, inclusion, and belonging in our public mission of research, teaching, and service, consistent with UC Regents Policy 4400 and University of California Academic Personnel policy (APM 210 1-d). These values are embedded in our Principles of Community, which reflect our passion for critical inquiry, debate, discovery and innovation, and our deep commitment to contributing to a better world. Every member of the UC Berkeley community has a role in sustaining a safe, caring and humane environment in which these values can thrive.

The University of California, Berkeley is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.

For more information, please refer to the University of California's Affirmative Action and Nondiscrimination in Employment Policy and the University of California's Anti-Discrimination Policy.

In searches when letters of reference are required all letters will be treated as confidential per University of California policy and California state law. Please refer potential referees, including when letters are provided via a third party (i.e., dossier service or career center), to the UC Berkeley statement of confidentiality prior to submitting their letter.

As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.

Unless stated otherwise, unambiguously, in the position description, this position does not include sponsorship of a new consular H-1B visa petition that would require payment of the $100,000 supplemental fee.

As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct.

• 
  
• "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment or discrimination, as defined by the employer.
  
• UC Sexual Violence and Sexual Harassment Policy
  
• UC Anti-Discrimination Policy
  
• APM - 035: Affirmative Action and Nondiscrimination in Employment
  

About Pinterest:

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible.

At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.

Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.

About Sales Strategy & Operations

As a Sales Strategy & Operations (SS&O) team, our mission is to power sustainable revenue growth for Pinterest with datadriven strategic insights and decision making, tight management against them and highimpact revenue management. We inform critical business decisions driving revenue growth, so team members are highly visible to senior Sales leadership at Pinterest and throughout the organization at large.

This role sits within the SS&O team supporting Global Agency Sales, partnering closely with the VP, Global Agency Sales and regional Agency Sales leaders to shape how Pinterest shows up with the world's largest media holding companies and independent agencies.

What You'll Do:

Reporting to the Senior Director of Sales Strategy & Operations, and in close partnership with the VP, Global Agency Sales, you will develop and bring to life datadriven strategies that deepen Pinterest's partnerships with media agencies and accelerate revenue growth across our agency portfolio. In this role, you will:

• 
  
• 
  

  Partner with Global and Regional Agency Sales leadership to define and deploy critical strategic, organizational and operational initiatives that improve agency health, drive revenue growth, and increase sales productivity across holding companies and key independents.

  
  
  
• 
  

  Shape Pinterest's global agency strategy and planning by developing frameworks for agency segmentation, coverage models, deal governance, and account planning that reflect agency structures (holding companies, networks, operating companies, and buying units).

  
  
  
• 
  

  Lead the analysis of agency business performance (revenue, forecast, sales pipelines, agency deals, investment mix, portfolio health, margin and incentives) to identify opportunities, risks and gaps - including recurring agency business reviews and adhoc deep dives; translate complex data into clear, actionable insights and recommendations for sales and executive stakeholders.

  
  
  
• 
  

  Partner with crossfunctional teams (Finance, Product & Engineering, Product Marketing, BizOps, Client Solutions) to align on priorities and ensure agencyfocused initiatives, products, and tools (including agency planning and reporting tools) are designed and launched in ways that meet agency needs and drive measurable impact.

  
  
  
• 
  

  Build scalable reporting, tooling and operating cadences to monitor agency health and program performance (e.g., global agency metrics reviews, dashboards, and playbooks), ensuring the broader sales org can easily understand performance and act on insights.

  
  
  
• 
  

  Structure and execute complex, crossfunctional projects endtoend: define problem statements, build work plans, gather and synthesize quantitative and qualitative inputs, lead analyses, align stakeholders, and drive decisions and execution.

  
  
  
• 
  

  Operationalize new initiatives and sales workflows (process, org, systems) for scale across regions, including shared playbooks, new sales processes and workflows, standardization of existing sales processes, and improved systems that enable an "alwayson" agency business and reduce duplication of effort across markets.
  
  

  
  
  

What We're Looking For:

• 
  
• 
  

  7+ years of professional experience in strategy & operations in a fastpaced, highly analytical environment (e.g., management consulting, investment banking, tech/media, or revenue/sales strategy & operations).

  
  
  
• 
  

  Familiarity with global media agencies - including holding company and operating company structures, investment and trading teams, planning and buying functions, how agencies make investment decisions and evaluate partners, and how agency operating models inform global deals, JBPs and enablement programs.

  
  
  
• 
  

  Exceptional analytical and quantitative skills, with a strong ability to analyze and manipulate large, complex datasets (e.g., revenue, pipeline, pricing, incentives, media performance) to generate clear insights, identify trends, and translate them into structured opportunities and recommended actions.

  
  
  
• 
  

  Proven experience building dashboards, reporting and decision frameworks that help senior leaders quickly understand business performance and take action; familiarity with tools such as SQL, Salesforce and Tableau is a plus but not required.

  
  
  
• 
  

  Demonstrated ability to partner closely with senior sales leaders (Director/VP+) to define strategy, build annual plans, forecast revenue, drive org design, and hold teams accountable to revenue and investment commitments.

  
  
  
• 
  

  Strong structured problemsolving skills and comfort driving decisions in ambiguous, evolving situations where goals, data, or processes are not yet fully defined.

  
  
  
• 
  

  Excellent executive communication skills - able to synthesize complex analyses into clear narratives, build compelling materials, and influence crossfunctional partners and senior stakeholders who may not be in your direct line of control.

  
  
  
• 
  

  Organized, detailoriented and strategically focused, with a track record of driving impact in complex, matrixed, and fastmoving environments.

  
  
  
• 
  

  Bachelor's degree in a relevant field such as business, economics, statistics, or a related field, or equivalent practical experience.
  
  

  
  
  

InOffice Requirement Statement:

• 
  
• We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection.
  
• This role will need to be in the office for inperson collaboration at least one day per week and therefore needs to be within a commutable distance from the New York City office.
  

Relocation Statement:

• 
  
• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
  

#LI-HYBRID

#LI-AT6

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.

Information regarding the culture at Pinterest and benefits available for this position can be found here.

Our Commitment to Inclusion:

About Pinterest:

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible.

At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.

Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.

The Content Understanding team builds machine learning models that "read" Pinterest content-images, text, and video-to produce high-quality semantic signals (e.g., embeddings, localization, quality/safety labels). These signals power relevance and retrieval for Homefeed, Search, Related Pins, and Ads, and also support integrity use cases like spam and low-quality detection. We work end-to-end: from data and labeling strategy, to model training and evaluation, to low-latency serving and monitoring at Pinterest scale. The role is ideal for a senior modeler who also enjoys developing, productionizing models and leading technical direction across teams.

What you'll do:

• 
  
• Lead modeling strategy for content understanding (vision, NLP, multimodal), including architecture selection, training approach, and evaluation methodology.
  
• Design and ship production models that generate content signals such as embeddings and classifications used across multiple product surfaces.
  
• Own the full ML lifecycle: data/labeling strategy (human labels + weak supervision), training pipelines, offline evaluation, online experimentation, deployment, and monitoring/retraining.
  
• Partner with infra/platform teams to ensure scalable, reliable training/serving (latency, cost, observability, rollout safety).
  
• Collaborate with signal-consuming teams (ranking, retrieval, integrity, ads) to define signal contracts, adoption patterns, and success metrics.
  
• Provide technical leadership through design reviews, mentoring, and raising the quality bar for modeling and ML engineering practices.
  

What we're looking for:

• 
  
• M.S/ PhD degree in Computer Science, Statistics or related field.
  
• Significant industry experience building software and ML pipelines/systems, including technical leadership (project/tech lead or equivalent).
  
• Strong proficiency in Python and at least one ML stack such as PyTorch / TensorFlow, plus solid software engineering fundamentals.
  
• Proven experience training and deploying ML models to production, including model versioning, rollouts, monitoring, and retraining strategies.
  
• Deep hands-on experience in content understanding domains, such as:
  
  • 
    
  • computer vision (classification, detection, representation learning),
    
  • NLP (text classification, entity/topic modeling),
    
  • multimodal / embedding models (e.g., transformer-based representations).
    
  
  
• Experience working with large-scale datasets and distributed compute (e.g., Spark-like ecosystems, distributed training, GPU environments).
  
• Strong applied skills in evaluation and experimentation: defining metrics, offline/online alignment, A/B testing, debugging regressions, and model quality analysis.
  
• Demonstrated ability to influence across teams and drive ambiguous problem areas to measurable outcomes.
  

Relocation Statement:

• 
  
• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
  

In-Office Requirement Statement:

• 
  
• We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection.
  
• This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country.
  

#LI-REMOTE

#LI-SM4

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.

Information regarding the culture at Pinterest and benefits available for this position can be found here.

Our Commitment to Inclusion:

Open date: October 20, 2025

Most recent review date: Monday, Nov 17, 2025 at 11:59pm (Pacific Time)

Applications received after this date will be reviewed by the search committee if the position has not yet been filled.

Final date: Monday, Apr 20, 2026 at 11:59pm (Pacific Time)

Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.

The California Policy Lab (CPL) generates research insights for government impact. Through hands-on partnerships with government agencies, CPL performs rigorous research across issue silos and builds the data infrastructure necessary to improve programs and policies that millions of Californians rely on every day. We work on California's most urgent issues, including homelessness, poverty, criminal justice reform, and education inequality. At its Berkeley site, CPL resides as a center within the Institute for Research on Labor and Employment (IRLE). CPL recognizes the value of having a diverse staff at all levels of the organization. When you join our team, you can expect to be part of an inclusive and equity-focused community.

The Health & Safety Net Researcher will lead CPL's research portfolio relating to the social safety net and health, in collaboration with and under the oversight of CPL's faculty affiliates and Research Director. This is an exciting role for a skilled safety net and/or health researcher who wants to design and conduct policy-relevant quantitative research in partnership with state and local agencies throughout California. The Health & Safety Net Researcher conducts quantitative research, including conceptualizing research questions and design; requesting, receiving, and cleaning data files; creating and implementing an analysis plan; conducting quality assurance reviews; summarizing results in documents for both academic and policy audiences; and generating replicability documentation. The Health & Safety Net Researcher can implement multiple research designs and analysis techniques, including but not limited to randomized control trials, quasi-experimental designs using natural experiments or other such variation, and difference-in-difference and event study analyses. Further, a successful candidate can lead research projects under the oversight of CPL's Research Director with small teams, write proposals to support research projects, and ensure timely and high-quality completion of research tasks. The Health & Safety Net Researcher will mentor and supervise other research staff. The position will report to the Research Director and will work directly with leading social policy researchers at UC and other top universities, state and local government agency staff, and CPL's leadership team.

• 
  
• Under the oversight of the Research Director, conduct quantitative research, including conceptualizing research questions and design; requesting, receiving, and cleaning data files; creating and implementing analysis plans; conducting quality assurance reviews; summarizing results in documents for both academic and policy audiences; and generating replicability documentation.
  
• Annually publish multiple reports and policy briefs based on research.
  
• Implement multiple research designs and analysis techniques, including but not limited to randomized control trials, quasi-experimental designs using natural experiments or other such variation, and difference-in-difference and event study analyses.
  
• Lead research projects with small teams, write proposals to support research projects, and ensure timely and high-quality completion of research tasks.
  
• Supervise other research staff, provide feedback on performance.
  
• Partner effectively with state and local agency staff to build a joint research agenda.
  

Conviction History Background

This is a designated position requiring fingerprinting and a background check due to the nature of the job responsibilities. Berkeley does hire people with conviction histories and reviews information received in the context of the job responsibilities. The University reserves the right to make employment contingent upon successful completion of the background check.

Department:

Unit:

Bachelor's degree or equivalent international degree

Bachelor's degree or equivalent international degree and at least five (5) years of professional experience

OR

Master's degree or equivalent international degree and at least three (3) years of professional experience

Bachelor's degree or equivalent international degree and at least ten (10) years of professional experience

OR

Master's degree or equivalent international degree and at least eight (8) years of professional experience

OR

PhD or equivalent international degree and at least two (2) years of professional experience.

The California Policy Lab is unable to offer visa sponsorship for these positions.

• 
  
• Ph.D. in economics, public policy, or related social science field, or equivalent experience.
  
• Five or more years of post-Ph.D. experience managing projects as a Principal Investigator and supervising project staff.
  
• Training and experience that clearly demonstrates qualifications.
  
• Fluency in data-analysis packages from commonly used programming languages like Python, R, Stata, SQL, or SAS.
  
• Expertise in one of CPL's policy areas.
  
• Strong interpersonal and communication skills and ability to work both independently and as a team member.
  
• Strong organizational skills and attention to detail and ability to multi-task with demanding timeframes.
  
• Record of independent research and publication, including leading research design and analysis and writing for both academic and policy audiences.
  
• Experience writing grant proposals, communicating with funders, and managing grant reporting.
  
• Expertise in social safety net and/or health policy research.
  
• Experience working with large and complex administrative datasets, including data linkage techniques.
  
• Knowledge of data management systems, practices, and standards and ability to work discreetly with sensitive and confidential data, and experience with GitHub.
  
• Experience collaborating with government agency partners.
  

• Curriculum Vitae - Your most recently updated C.V.

  
  

• Cover Letter

  
  

• Research Statement - Please discuss research accomplishments and proposed plans. This can include, for example, your publication record, awards, presentations, inclusive research practices that promote the excellence of your research, and areas for future research.
  
  (Optional)

  
  

• Writing Sample - One or more illustrative examples of the candidate's research - a "job market paper," a manuscript, or other research product suitable to the candidate's field. The candidate should be the primary author.

  
  

• 3-5 required (contact information only)

Help contact:

UC Berkeley is committed to diversity, equity, inclusion, and belonging in our public mission of research, teaching, and service, consistent with UC Regents Policy 4400 and University of California Academic Personnel policy (APM 210 1-d). These values are embedded in our Principles of Community, which reflect our passion for critical inquiry, debate, discovery and innovation, and our deep commitment to contributing to a better world. Every member of the UC Berkeley community has a role in sustaining a safe, caring and humane environment in which these values can thrive.

The University of California, Berkeley is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.

For more information, please refer to the University of California's Affirmative Action and Nondiscrimination in Employment Policy and the University of California's Anti-Discrimination Policy.

In searches when letters of reference are required all letters will be treated as confidential per University of California policy and California state law. Please refer potential referees, including when letters are provided via a third party (i.e., dossier service or career center), to the UC Berkeley statement of confidentiality prior to submitting their letter.

As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.

Unless stated otherwise, unambiguously, in the position description, this position does not include sponsorship of a new consular H-1B visa petition that would require payment of the $100,000 supplemental fee.

As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct.

• 
  
• "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment or discrimination, as defined by the employer.
  
• UC Sexual Violence and Sexual Harassment Policy
  
• UC Anti-Discrimination Policy
  
• APM - 035: Affirmative Action and Nondiscrimination in Employment
  

Open date: January 26, 2026

Most recent review date: Monday, Feb 9, 2026 at 11:59pm (Pacific Time)

Applications received after this date will be reviewed by the search committee if the position has not yet been filled.

Final date: Tuesday, Jun 30, 2026 at 11:59pm (Pacific Time)

Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.

The Haas School of Business at the University of California, Berkeley is seeking highly motivated individuals for the position of Junior or Assistant Specialist. This role will involve close collaboration on a number of research projects in one of the following two areas:

Area 1:

Applied microeconomics focusing on innovation, political economy, public finance, and industrial organization. The candidate would work at the Haas School of Business under the supervision of Business & Public Policy (BPP) Assistant Professor, Cailin Slattery, and Economic Analysis & Policy (EAP) Assistant Professor, Carolyn Stein.

Area 2:

Applied microeconomics focusing on health care, labor, productivity, and equity. The candidate would work at the Haas School of Business under the supervision of Economic Analysis & Policy (EAP) Professor, David Chan.

Examples of their research can be found in the links section.

General Duties:

* Research Design & Methodology: Participate in all stages of the research process, from literature reviews and hypothesis formulation to the design and interpretation of econometric analyses. This includes applying methods of causal inference and structural or reduced-form econometrics.

* Data Lifecycle Management: Manage, manipulate, and clean large-scale datasets. Identify and resolve technical problems or coding errors to ensure data integrity from ingestion to analysis.

* Technical Programming: Write efficient, collaborative, and replicable computer code to implement analyses. Maintain version-controlled codebases that facilitate team collaboration and project transparency.

* Documentation & Replication: Maintain rigorous documentation of all work. Lead the creation of comprehensive replication packages and technical appendices to ensure research findings are verifiable.

* Output & Publication: Assist in the preparation of research manuscripts and project reports. Design and generate high-quality tables, graphs, and visualizations for publication.

* Project Coordination: Facilitate project momentum by running team meetings and monitoring statistical deliverables to ensure they meet quality assurance standards.

Unit:

Unit:

Unit: faculty/david-chan/

The minimum qualification to be enrolled in a Bachelor's Degree, or equivalent international degree program at time of application.

A Bachelor's Degree, or equivalent international degree at the start of appointment.

The position is ideal for someone with a serious interest in economics research and an intention to apply to graduate school in economics or a related field.

Successful candidates have:

* Strong communication skills

* Strong quantitative background

* Attention to detail

* Strong programming skills

* Ability to work independently and in teams

* Prior work experience in research or industry is a plus

• Curriculum Vitae - Your most recently updated C.V.

  
  

• Cover Letter - Please indicate which research project you are applying for:

  
  
  

  Area 1:
  
  Applied microeconomics focusing on innovation, political economy, public finance, and industrial organization. The candidate would work at the Haas School of Business under the supervision of Business & Public Policy (BPP) Assistant Professor, Cailin Slattery, and Economic Analysis & Policy (EAP) Assistant Professor, Carolyn Stein.

  
  
  

  Area 2:
  
  Applied microeconomics involving close collaboration on a number of research projects in focusing on health care, labor, productivity, and equity. The candidate would work at the Haas School of Business under the supervision of Economic Analysis & Policy (EAP) Professor, David Chan.

  
  

• 1-3 required (contact information only)

Help contact:

UC Berkeley is committed to diversity, equity, inclusion, and belonging in our public mission of research, teaching, and service, consistent with UC Regents Policy 4400 and University of California Academic Personnel policy (APM 210 1-d). These values are embedded in our Principles of Community, which reflect our passion for critical inquiry, debate, discovery and innovation, and our deep commitment to contributing to a better world. Every member of the UC Berkeley community has a role in sustaining a safe, caring and humane environment in which these values can thrive.

The University of California, Berkeley is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.

For more information, please refer to the University of California's Affirmative Action and Nondiscrimination in Employment Policy and the University of California's Anti-Discrimination Policy.

In searches when letters of reference are required all letters will be treated as confidential per University of California policy and California state law. Please refer potential referees, including when letters are provided via a third party (i.e., dossier service or career center), to the UC Berkeley statement of confidentiality prior to submitting their letter.

As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.

Unless stated otherwise, unambiguously, in the position description, this position does not include sponsorship of a new consular H-1B visa petition that would require payment of the $100,000 supplemental fee.

As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct.

• 
  
• "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment or discrimination, as defined by the employer.
  
• UC Sexual Violence and Sexual Harassment Policy
  
• UC Anti-Discrimination Policy
  
• APM - 035: Affirmative Action and Nondiscrimination in Employment
  

Open date: March 5, 2026

Next review date: Friday, Mar 20, 2026 at 11:59pm (Pacific Time)

Apply by this date to ensure full consideration by the committee.

Final date: Friday, Apr 10, 2026 at 11:59pm (Pacific Time)

Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.

The Chang Lab, led by PI Serina Chang, is part of the Berkeley EECS Department, the UCSF UC Berkeley Joint Program in Computational Precision Health, the Berkeley AI Research (BAIR) Lab, and the Center for Human-Compatible AI (CHAI).

We are seeking a postdoc to work on projects at the intersection of AI and human behavior, including modeling human behavior with AI, building AI tools to support societal decision-making, and studying the impacts of AI on society. Potential projects include:

1. 
   
2. Developing AI models of individuals that can accurately simulate complex behaviors across modalities, supported by rich, individual-level data including mobility trajectories, surveys, in-depth interviews, and health behaviors and outcomes.
   
3. Scaling simulations to entire societies with millions of agents, developing robust validation of societal simulations, and applying societal simulations to inform decisions in high-stakes domains (e.g., public health, emergency response).
   
4. Studying the impacts of generative AI on human health and well-being, from individual-level human-AI interactions (e.g., mental health risks, health decision-making) to community-level dynamics (e.g., changing support networks, engagement with health systems).
   

The selected candidate will assist with leading research projects, work closely with PI Serina Chang, mentor junior students in the lab, and help with the management of the lab.

Union: resources/employment-policies-contracts/bargaining-units/postdoctoral-scholars/contract/

PhD degree or equivalent international degree, or enrolled in a PhD or equivalent international degree granting program

PhD degree or equivalent international degree

• 
  
• PhD in Computer Science or closely related field
  
• Demonstrated record of publications in relevant computer science venues and/or general science journals
  
• Experience with training and evaluating generative AI models, working with large-scale messy datasets (e.g., mobility data, health data), and interdisciplinary research (e.g., computational social science, AI for health)
  
• 2-year postdoc is preferred, but we will consider applications for 1-year postdocs
  

• Curriculum Vitae - Your most recently updated C.V.

  
  

• Representative paper - Please include one research paper where you played a substantial role and that are representative of your work and interests.

  
  

• Second Representative paper - Please include one research paper where you played a substantial role and that is representative of your work and interests.

  
  

• Statement of Research - (max 4 pages). Please discuss your past research and accomplishments (e.g., publications, awards, presentations, evidence of real-world impact). Please also describe your plans for future research, especially how they would align with this position.

  
  

• Mentorship statement - (max 1 page). Please describe your past experience with mentoring junior students, including PhD students, master's, or undergraduate, and your philosophy towards mentorship. This could include mentoring students on research projects and/or teaching experience.

  
  

• 3 required (contact information only)

Help contact:

UC Berkeley is committed to diversity, equity, inclusion, and belonging in our public mission of research, teaching, and service, consistent with UC Regents Policy 4400 and University of California Academic Personnel policy (APM 210 1-d). These values are embedded in our Principles of Community, which reflect our passion for critical inquiry, debate, discovery and innovation, and our deep commitment to contributing to a better world. Every member of the UC Berkeley community has a role in sustaining a safe, caring and humane environment in which these values can thrive.

The University of California, Berkeley is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.

For more information, please refer to the University of California's Affirmative Action and Nondiscrimination in Employment Policy and the University of California's Anti-Discrimination Policy.

In searches when letters of reference are required all letters will be treated as confidential per University of California policy and California state law. Please refer potential referees, including when letters are provided via a third party (i.e., dossier service or career center), to the UC Berkeley statement of confidentiality prior to submitting their letter.

As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.

Unless stated otherwise, unambiguously, in the position description, this position does not include sponsorship of a new consular H-1B visa petition that would require payment of the $100,000 supplemental fee.

As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct.

• 
  
• "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment or discrimination, as defined by the employer.
  
• UC Sexual Violence and Sexual Harassment Policy
  
• UC Anti-Discrimination Policy
  
• APM - 035: Affirmative Action and Nondiscrimination in Employment
  

Job Title: Distribution and Marketing Data Product Manager

Division: Beazley Shared Services - Data Management

Location: Multiple Locations, US

Hybrid Role

Reports To: Head of Data Products

Key Relationships: Chief Data Office, Data Leadership Team, Data Owners, Distribution and Marketing, CRM, Data Governance and Quality, Data Stewards, Data Architects, Delivery Team members, Technology Team, Finance, Underwriting, Operations and other Business Stakeholders

Beazley:

Beazley is a global specialist insurance company with over 30 years' experience helping people,

communities, and businesses to manage risk all around the world. Our products are wide ranging from cyber & tech to marine, healthcare, financial institutions, and contingency, covering risks like the weather, film production or protection from deadly weapons.

We are a flexible and innovative employer offering a friendly, collaborative, diverse and inclusive work environment. We encourage applications from all backgrounds. Collaboration in office spaces is important and we use a hybrid approach with a minimum of 2 days in the office per week.

We have a wonderful mix of cultures, experiences, and backgrounds at Beazley with over 1500 of us working around the world. Employee's diversity, experience and passion allow us to keep innovating and moving forward, delivering the best. We hire people with wide perspectives, and we have set bold diversity targets as we work towards excellence.

Data @ Beazley:

Our Data team supports Beazley's vision by...

* Being bold through pioneering & championing an exciting vision of how people interact with data

* Facilitating innovation by leading the pace of change in data & analytics, and facilitating the latest capabilities and innovative technologies

* Doing the right thing by providing a controlled working data environment that allows all business domains to thrive independently

* Being the single source of truth for enterprise-wide reporting metrics and KPIs

Our Data team is located at multiple offices across UK, Europe and the US. The specified home office location options provide the best balance for being co-located with key Data Office colleagues and business stakeholders.

The Role:

Data is one of Beazley's greatest assets and this roles is critical to supporting our Distribution and Marketing insights, which includes Customer, Broker and Marketing data. We're seeking a strategic and technically savvy Data Product Manager to lead the strategy, development and evolution of data products and insights that empower our distribution and marketing teams. This role is critical to aligning our data, unlocking insights, and informing growth opportunities across our specialty portfolio. In this role, you will also work to mature data literacy and capabilities as Beazley undertakes a significant investment in modernization, enabling you to embed a culture of data excellence and innovation in our delivery.

Key Responsibilities:

• Partner with the global Distribution and Marketing team to understand, prioritize and develop data products and insights that support their business strategy.

• Build and own a roadmap to provide regular updates on delivery commitments for data products, insights, enhancements and queries.

• Manage stakeholder relationships to support the growth strategy for Beazley customers, brokers, teams and products.

• Produce insights and key data trendsthat highlight business performance, RoI, efficiencies and game-changing growth opportunities.

• Inspire the adoption and use of insights to drive decisions in investment and operations that improve efficiency and drive growth by leading demonstrations and hands on training sessions.

• Lead a team of Product Owners, Product Analysts, Business Analysts and a development team to deliver and maintain data products and insights; maintaining a backlog of work within Jira.

• Represent the business in data governance discussions, escalating issues as appropriate.

• Ensure that data product development considers policy, methodology and standards, and ensure these are adhered to during product development.

• Evaluate the performance of your data product portfolio against KPIs defined by the business and provide feedback on the value delivered.

• Proactively anticipate business needs and look for opportunities to bring innovation or new approaches into the user design, experience, product development and insights.

• Relentlessly focus on the Distribution and Marketing team as a customer, delivering high quality data and insights that are clear and inspire action.

• Partner with the Data Governance Group and CRM solution team (Customer Relationship Management) to drive improvements in our Customer and Broker data quality through MDM and other tools.

• Provide leadership, direction, development and support to direct reports (including off-shore resources).

Essential Criteria:

• Bachelor's degree in Business, Marketing, Data Science, Computer Science, Economics, Statistics or related field; Master's degree preferred

• Proven experience in data product management, marketing analytics or distribution strategy, preferably in insurance or financial services

• Experience working with data, building data models, and sharing insights

Skills and Abilities:

• Strategic and curious with the ability to design and develop data and insights that support our Distribution and Marketing team's goals, planning, performance and incentives that drive growth

• Understand the specialty insurance market, customer segmentation and distribution channels, with experience in North America, Lloyd's, Retail and Wholesale markets preferred

• Ability to lead workshops that help your stakeholders identify data needs and articulate their desired user experience, with the ability to build dashboards preferred

• Strong organization and communication skills with the ability to direct work, document requirements and present demos

• Advanced technical skills with the ability to dive into the data, identify anomalies, and provide high quality, trusted data

• Understanding of Specialty Insurance principles and key drivers to create opportunities, loyalty and growth

Knowledge and Experience:

• Experience in Data Products, Data Analytics, Data Science, Statistics, Economics or related fields in Insurance, Financial or sales organizations preferred

• Strong understanding of MDM and CRM systems and their use with Customer and Broker data

• Proficiency in data visualization (Power BI), analytics platform (Snowflake), dashboard design and data storytelling

• Experience working with insurance data, and in particular a strong understanding of pipeline intelligence for sales growth/ targeting and performance

• Ability to use predictive modeling to drive an understanding of performance, customer behavior, and prospective renewals/ growth to help the Distribution Sales team focus on the best opportunities

• Experience managing relationships and teams of stakeholders, business analysts, data analysts, data architects, data modelers, data engineers and testers using agile processes

• Skills in data engineering technologies like Kafka, Snowflake / Snowpark, DataBricks, Jira and Agile principles

• Experience in managing and manipulating large internal and external datasets

• Knowledge of relational and dimensional database structures, theories, principles, and practices

• Driven and proven team player with ability to work with all levels in a highly intellectual, collaborative, and fast paced environment

• Excellent communication skills, with the ability to tailor them appropriately for different audiences, technical backgrounds, and seniority

Who We Are:

Beazley is a specialist insurance company with over 30 years' experience helping people, communities and businesses to manage risk all around the world. Our mission is to inspire our clients and people with the confidence and freedom to explore, create and build - to enable businesses to thrive. Our clients want to live and work freely and fully, knowing they are benefitting from the most advanced thinking in the insurance market. Our goal is to become the highest performing sustainable specialist insurer.

Our products are wide ranging, from cyber & tech insurance to marine, healthcare, financial institutions and contingency; covering risks such as the weather, film production or protection from deadly weapons.

Our Culture

We have a wonderful mix of cultures, experiences, and backgrounds at Beazley with over 2,000 of us working around the world. Employee's diversity, experience and passion allow us to keep innovating and moving forward, delivering the best. We are proud of our family-feel culture at Beazley that empowers our staff to work from when and where they want, in an adult environment that is big on collaboration, diversity of thought and personal accountability. Our three core values inspire the way we work and how we treat our people and customers.

• Be bold
• Strive for better
• Do the right thing

Upholding these values every day has enabled us to become an innovative and responsive organization in touch with the changing world around us - our ambitious inclusion & diversity and sustainability targets are testament to this.

We are a flexible and innovative employer offering a friendly, collaborative, and inclusive working environment. We actively encourage and expect applications from all backgrounds. Our commitment to fostering a supportive and dynamic workplace ensures that every employee can thrive and contribute to our collective success.

Explore a variety of networks to assist with professional and/or personal development. Our Employee Networks include:

• Beazley RACE - Including, understanding and celebrating People of Colour
• Beazley SHE - Successful, High potential, Empowered women in insurance
• Beazley Proud - Our global LGBTQ+ community
• Beazley Wellbeing - Supporting employees with their mental wellbeing
• Beazley Families - Supporting families and parents-to-be

We encourage internal career progression at Beazley, giving you all the tools you need to drive your own career here, such as:

• Internal Pathways (helping you grow into an underwriting role)
• iLearn (our own learning & development platform)
• LinkedIn Learning
• Mentorship program
• External qualification sponsorship
• Continuing education and tuition reimbursement
• Secondment assignments

The Rewards

• The opportunity to connect and build long-lasting professional relationships while advancing your career with a growing, dynamic organization
• Attractive base compensation and discretionary performance related bonus
• Competitively priced medical, dental and vision insurance
• Company paid life, and short- and long-term disability insurance
• 401(k) plan with 5% company match and immediate vesting
• 22 days PTO (prorated for 1st calendar year of employment), 11 paid holidays per year, with the ability to flex the religious bank holidays to suit your religious beliefs
• Up to $700 reimbursement for home office setup
• Free in-office lunch, travel reimbursement for travel to office, and monthly lifestyle allowance
• Up to 26 weeks of fully paid parental leave
• Up to 2.5 days paid annually for volunteering at a charity of your choice
• Flexible working policy, trusting our employees to do what works best for them and their teams

Salary for this role will be tailored to the successful individual's location and experience. The expected compensation range for this position is $130,000-$150,000 per year plus discretionary annual bonus.

Don't meet all the requirements? At Beazley we're committed to building a diverse, inclusive, and authentic workplace. If you're excited about this role but your experience doesn't perfectly align with every requirement and qualification in the job specification, we encourage you to apply anyway. You might just be the right candidate for this, or one of our other roles.

We are an equal opportunities employer and as such, we will make reasonable adjustments to our selection process for candidates that indicate that, owing to disability, our arrangements might otherwise disadvantage them. If you have a disability, including dyslexia or other non-visible ones, which you believe may affect your performance in selection, please advise us in good time and we'll make reasonable adjustments to our processes for you.