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Lead Analyst – Pricing & Promotions

Up to £50,000 + Benefits
Hybrid – 2 days per week, Central London

We’re working with a well-established consumer-facing business that is investing heavily in data and analytics to drive smarter commercial decision-making. As part of this investment, they’re expanding a newly formed analytics function focused on pricing, promotions, product strategy and trading performance.

This is an excellent opportunity for an experienced analyst to work on commercially critical projects, applying advanced analytics to influence pricing, promotional and trading decisions across the business.

The Role

• Develop analytical models to support pricing, promotions and commercial trading decisions.

• Apply forecasting, optimisation, elasticity analysis and predictive modelling techniques.

• Translate customer, product and trading data into actionable commercial recommendations.

• Present insights to stakeholders, helping drive data-led decision making.

• Deliver deep-dive analysis into pricing, promotional and trading performance.

• Support and mentor junior analysts while contributing to the development of the wider analytics function.

What We’re Looking For

• 5+ years’ experience in Analytics, Commercial Analytics or Data Science.

• Strong SQL and Power BI (or a similar data visualisation tool).

• Python experience is advantageous.

• Experience within retail, consumer, e-commerce or another high-volume commercial environment.

• Strong background in pricing, promotions or commercial analytics.

• Experience with forecasting, optimisation, elasticity modelling or other commercial modelling techniques.

• Previous mentoring or coaching experience is desirable.

What’s on Offer

• Up to £50,000 + benefits.

• Hybrid working (2 days per week in Central London).

• 1-year fixed-term contract with strong potential to become permanent.

• Opportunity to join a growing analytics function and work on high-impact commercial projects with excellent exposure to senior stakeholders.

Find out more and apply via the link below!

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Senior Analytics Manager

Up to £85,000 + Benefits
Hybrid – 2 days per week, Central London

We’re working with a well-established consumer-facing business that is investing heavily in data and analytics to drive smarter commercial decision-making. As part of this investment, they’re creating a new analytics function focused on supporting key commercial initiatives across pricing, promotions, product strategy and trading performance.

This is a fantastic opportunity to shape a new capability, influence senior stakeholders, and deliver insights that have a direct impact on business performance.

The Role

• Develop and lead the analytics strategy across commercial performance initiatives.

• Build forecasting, optimisation and commercial modelling capabilities.

• Deliver actionable insights to support pricing, promotions, product and trading decisions.

• Partner with senior stakeholders to influence strategic decision-making.

• Help establish and grow a high-performing analytics function.

What We’re Looking For

• 7+ years’ experience in Analytics, Data Science or Commercial Analytics.

• Strong SQL and Power BI (or a similar data visualisation tool).

• Python experience is advantageous.

• Experience within retail, consumer, e-commerce or another high-volume commercial environment.

• Strong background in pricing, promotions or commercial analytics.

• Previous people management experience with a track record of building or developing analytical capability.

What’s on Offer

• Up to £85,000 + benefits.

• Hybrid working (2 days per week in Central London).

• 1-year fixed-term contract with strong potential to become permanent.

• Opportunity to play a key role in building a new analytics capability within a growing data function.

Find out more and apply via the link below!

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Data Engineer

Up to £60,000 + Benefits
Birmingham (Hybrid – 2 x a month)
This is a fantastic opportunity to join one of the UK’s leading specialist care providers as they embark on a major data transformation journey. You’ll play a key role in building a modern Azure-based data platform, taking ownership of end-to-end data engineering projects that will directly support reporting, analytics, self-service data access, and future AI initiatives.

THE COMPANY:

This care provider, delivers long-term, community-based care to individuals. As part of an ongoing digital transformation, they are investing heavily in its data and analytics capabilities to create a scalable, future-proof data estate.

THE ROLE:

You will take ownership of designing and delivering data solutions across a variety of business functions, helping to build a modern Microsoft data platform and support the development of reusable data services.
Key responsibilities include:

• Designing and implementing end-to-end ETL/ELT pipelines from requirements gathering through to production deployment.
• Developing and maintaining scalable data models, transformations, and data products using modern Azure technologies.
• Optimising data pipelines to ensure high levels of performance, data quality, consistency, and availability.
• Supporting the development of an enterprise ontology model to improve understanding and relationships across data domains.

YOUR SKILLS AND EXPERIENCE:

You will bring strong capability in:

• Microsoft Azure data engineering technologies.
• Designing and developing ETL/ELT data pipelines.
• SQL development and data modelling.
• CI/CD processes and deployment best practices.

THE BENEFITS:

You will receive a salary of up to £60,000 depending on experience, alongside a comprehensive benefits package and the opportunity to play a key role in a large-scale data transformation programme within a highly impactful organisation.

HOW TO APPLY:

Please register your interest by sending your CV to Molly Bird via the apply link on this page.

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Senior Analytics Manager
London based (2 days in office)
Up to 85k

They are a consumer-focused organisation investing in data, analytics, and decision intelligence to support commercial growth. As part of this investment, they are creating a dedicated analytics team focused on pricing, promotional effectiveness, product range optimisation, and store portfolio strategy.

The business is developing an analytics capability that combines commercial understanding with analytical techniques that deliver measurable outcomes. Analytics is positioned as a strategic partner, helping teams make informed decisions and identify opportunities for improvement.

The Role
You will lead the development of a new analytics capability, partnering with senior leaders to support key commercial decisions.
Key responsibilities include:

• Build and lead a commercial analytics team.
• Develop the roadmap and delivery approach for Range, Space, Price & Promotion Analytics.
• Partner with Buying, Merchandising, Retail, Marketing, Finance, and Supply Chain teams.
• Translate analytical outputs into practical business recommendations.
• Identify opportunities to improve pricing performance, promotional effectiveness, product range decisions, and store portfolio strategy.
• Support decision-making through insight, measurement frameworks, and analytical outputs.
• Work closely with Data Science, Data Engineering, and wider Analytics teams to deliver scalable solutions.
• Balance commercial priorities with analytical approaches that support business objectives.

Your Skills & Experience

• Commercial analytics experience within retail, ecommerce, consumer, or similarly fast-paced environments.
• Experience working with pricing, promotions, merchandising, trading, customer, or commercial analytics.
• Ability to engage senior stakeholders and support business decision-making through data and insight.
• SQL capability and experience working with large transactional datasets.
• Understanding of advanced analytics and data science methodologies and their application in commercial environments.
• Experience leading, mentoring, and developing analytics teams.
• Ability to work in evolving environments and define new ways of working.

What They Offer

• Competitive salary and comprehensive benefits package.
• Hybrid working model based in London.
• Opportunity to lead a newly established analytics function with visibility across the business.
• Exposure to senior leadership and strategic commercial initiatives.
• Career development opportunities within a growing Data & Analytics team.
• Access to modern data platforms and collaboration with Data Science and Engineering teams.

How to Apply
If you are interested in using analytics to support commercial decision-making and would like to learn more about this opportunity, please apply today.

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Senior Analytics Manager – Pricing and Promotions (FTC)
London – hybrid – 2x per week)
Up to £85,000

This is an opportunity to take ownership of a newly created analytics capability within a major consumer-facing organisation undergoing significant investment in data and decision-making. You will combine strategic leadership, advanced analytics, and commercial influence to shape how pricing, promotions, range planning, and trading decisions are made across the business.

The Company
They are a well-established retail organisation with a large national presence, a significant customer base, and a growing focus on data-driven decision making. As part of ongoing investment in analytics, they are building a dedicated team focused on Price & Promotions analytics.

The organisation is creating stronger links between commercial, digital, and operational teams to ensure decisions are informed by customer behaviour, market conditions, and trading performance. This is a highly visible area of the business with strong executive sponsorship and clear opportunities to make a measurable impact.

The Role
As a Senior Analytics Manager, you will lead the development of a new analytics function focused on supporting some of the organisation’s most commercially important decisions.

You will:

• Develop and deliver the analytics strategy and roadmap for pricing, promotions, range, space, and trading analytics
• Lead the creation of modelling frameworks to support commercial decision making
• Deliver actionable insights that improve revenue, margin, stock productivity, and customer outcomes
• Influence pricing, promotional, range, and store portfolio decisions across the business
• Apply advanced analytical techniques including forecasting, optimisation, predictive modelling, and elasticity analysis
• Act as the senior analytics partner to stakeholders across commercial, retail, finance, and operational teams
• Establish best practice across analytical methodologies, governance, and delivery
• Build and develop analytical capability while helping shape a newly established function

Your Skills & Experience

• Strong commercial analytics experience within retail, fashion, eCommerce, or another high-volume consumer environment
• Proven experience working on pricing and promotions analytics
• Advanced SQL skills and experience with data visualisation tools such as Power BI
• Exposure to Python or other analytical programming languages
• Strong capability in forecasting, optimisation, commercial modelling, and analytical experimentation
• Deep understanding of retail commercial drivers, including pricing, promotions, margin, demand forecasting, ranging, and stock productivity
• Experience managing, coaching, or building analytics teams
• Excellent stakeholder management skills with the ability to influence senior business leaders

What They Offer

• Opportunity to build and shape a new analytics capability
• Exposure to senior commercial stakeholders and business-critical decision making
• Strong investment in data, analytics, and innovation
• Clear progression opportunities within a growing analytics function

How to Apply
If you are an experienced analytics leader with a passion for commercial decision making, pricing strategy, and retail analytics, please apply with your CV to discuss this opportunity in more detail.

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Chief AI Scientist

Remote UK

The Company
They are a globally recognised, mission-led organisation applying cutting-edge artificial intelligence to advance scientific understanding and unlock new insights from complex biological and behavioural data. Their work brings together experts across machine learning, natural sciences, and research engineering to tackle ambitious, high-impact challenges. Supported by leading research partnerships and a strong long-term vision, they are building an environment where scientific excellence, innovation, and collaboration can thrive. As they continue to scale their research function, they are seeking a Chief Scientist to provide strategic leadership across the organisation.

The Role
You will provide executive-level scientific leadership while overseeing a multidisciplinary research organisation.
Key responsibilities include:

• Defining and delivering a multi-year scientific strategy aligned with organisational goals
• Leading and developing senior research leaders across AI, scientific research, and research infrastructure functions
• Ensuring scientific excellence, rigour, reproducibility, and high research standards across all programmes
• Driving collaboration between AI researchers and domain experts to maximise research impact
• Shaping organisational structure, workforce planning, and recruitment strategy for research teams
• Serving as a trusted member of the executive leadership team and contributing to broader business strategy
• Managing research budgets and resource allocation to ensure effective delivery against priorities

Your Skills & Experience

• PhD in Machine Learning, Computer Science, Electrical Engineering, Computational Biology, or a related quantitative discipline
• Deep expertise in AI research, large-scale machine learning implementation, or a combination of both
• Proven experience leading high-performing research or AI organisations
• Strong understanding of foundation models, large-scale training infrastructure, and modern AI systems
• Ability to evaluate research quality and guide technical strategy across multiple research domains
• Exceptional stakeholder management and executive communication skills
• Experience working across academic and commercial research environments is highly desirable
• Exposure to scientific research applications, bioacoustics, computer vision, speech, audio, natural sciences, or related fields would be advantageous

What They Offer

• Competitive salary package
• Comprehensive benefits
• Executive leadership position with significant organisational influence
• Opportunity to shape the future direction of a pioneering AI research organisation
• Access to world-class researchers, collaborators, and scientific partners
• Significant scope to build teams, define strategy, and drive innovation
• Flexible and collaborative working environment
• Long-term career impact through leadership of globally relevant scientific research

How to Apply
If you are an accomplished AI research leader looking to combine scientific excellence with meaningful impact, apply today to learn more about this Chief Scientist opportunity.

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I’m hiring a Data QA Engineer to join a growing data function supporting a major Lakehouse and Databricks programme.

This is a fantastic opportunity for someone with experience testing data platforms, pipelines, and analytics products who wants to play a key role in defining quality standards across a modern data environment.

The role

This role sits at the heart of the data engineering function, working closely with Data Engineers, Analytics Engineers, and business stakeholders to ensure data products are robust, reliable, and production-ready.

Approximately 60% of the role focuses on testing, with the remaining time spent collaborating within the Databricks and PySpark environment, helping improve quality, processes, and delivery standards.

You’ll be joining a team that needs someone capable of operating independently, taking ownership of testing activities, and helping define what great Data QA looks like.

What you’ll be doing

• Test the Data Platform and associated data products
• Define and improve testing approaches, standards, and frameworks
• Perform functional, integration, regression, and data validation testing
• Work closely with Data and Analytics Engineers to identify issues early in the development lifecycle
• Log, manage, and track defects through to resolution
• Drive continuous improvement across testing practices and tooling
• Participate in development and collaboration activities within Databricks and PySpark environments
• Help establish quality standards across the wider data team

What they’re looking for

Essential

• Databricks
• PySpark
• SQL
• Python
• Data platform or data pipeline testing experience
• Experience in a QA, Test Engineer, or Data QA role
• Strong communication and stakeholder management skills
• Ability to operate independently with minimal supervision
• Experience working in Agile environments

Desirable

• Test automation experience
• CI/CD pipeline exposure
• Azure Data Services experience
• Data quality validation and governance experience

Ideal background

This role would suit someone who has worked as a:

• Data QA Engineer
• Data QA Tester
• Databricks QA Engineer
• Databricks Tester
• Data Test Engineer

Consulting backgrounds could work particularly well, provided you’ve been hands-on with Databricks and data platform testing.

Why join?

• Remote-first working
• Genuine work-life balance
• Flexible-by-choice culture
• 35-hour working week
• Opportunity to shape testing standards across a growing Lakehouse programme
• Strong engineering and analytics environment
• High levels of ownership and autonomy

Locations

Remote-first, with office hubs available in:

• London
• Manchester
• Leeds
• Bristol
• Sheffield
• Cardiff

Interview process

Stage 1

• Interview with two team leads
• Technical testing assessment

Stage 2

• Final interview with the Hiring Manager
• Behavioural and competency-based discussion

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Credit Operations Analyst
London
£50,000 to £70,000

This is an opportunity to join a growing, data-led financial services business where you will directly influence how credit decisions are made at scale. The role offers strong exposure across credit, data, and product, with a clear focus on automation and impact.

The Company
They are a fast-growing, technology-driven financial services organisation focused on improving how consumers manage their finances. The business takes a data-first approach, using modern tools and customer insights to inform decision-making. With continued growth and investment in their data capabilities, they are building out a high-performing analytics and credit function.

The Role
You will work at the intersection of credit risk, data, and decisioning, helping to improve and automate lending processes.

• Develop and enhance automated credit decisioning and underwriting logic
• Analyse lending performance and identify opportunities to improve accuracy and efficiency
• Collaborate with product, engineering, and credit teams to reduce manual processes
• Use customer and transactional data to inform lending decisions
• Support improvements in affordability assessment and decision frameworks
• Contribute to building a scalable, data-driven credit operation

Your Skills & Experience

• Strong commercial experience in credit risk within a lending environment
• Experience working on underwriting, decisioning, or credit policy using data
• Strong SQL skills for data analysis and manipulation
• Ability to translate data insights into practical lending decisions
• Solid understanding of how credit decisions are made
• Exposure to affordability assessment or open banking data is beneficial

What They Offer

• Salary between £50,000 and £70,000
• Share options
• Private medical insurance
• Statutory pension
• Opportunity to join a growing business with strong career development potential

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Pricing Manager – Insurance
London
£65,000 to £70,000 + bonus and benefits

This is a high-impact opportunity to take ownership of pricing decisions within a growing personal lines environment. The role offers a strong balance of leadership and hands-on analytical work, with a clear focus on commercial impact rather than pure modelling. You will play a key role in shaping pricing strategy and responding to market trends in a data-driven way.

The Company
They are an established UK insurer with a strong and growing customer base, continuing to invest in pricing, data, and analytics capabilities. Their pricing function plays a central role in business decision-making, working closely with actuarial, underwriting, and data teams. The environment encourages curiosity, collaboration, and the use of new data to challenge existing approaches.

The Role

• Lead and develop a small team of analysts, providing guidance and prioritising workload
• Translate model outputs into clear, commercially actionable pricing decisions
• Analyse claims, policy, and market data to identify pricing opportunities
• Enhance existing pricing models by integrating new datasets and improving performance
• Work cross-functionally with actuarial, data science, and underwriting teams
• Identify market trends and ensure pricing strategies remain competitive and profitable
• Support the delivery and execution of pricing strategy

Your Skills and Experience

• Strong commercial experience within pricing, analytics, or a related discipline
• Ability to interpret data and translate insights into clear business actions
• Experience working with or assessing pricing or risk models
• Exposure to personal lines insurance is beneficial, but strong analytical backgrounds from adjacent sectors are also considered
• Working knowledge of Python or R, with SQL as a useful addition
• Interest in leadership, with experience mentoring or managing others or a clear motivation to do so
• Strong stakeholder communication and influencing skills

What They Offer

• Salary up to £70,000, with some flexibility for exceptional candidates
• Performance-related bonus and a comprehensive benefits package
• Hybrid working model with approximately one day per week in the office
• Private medical cover, pension contribution, life assurance, and wellbeing support
• Clear progression opportunities within a growing pricing and analytics function

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