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Principal AI Scientist

New York, New York – 3 days/week hybrid

$250,000-275,000 base salary + bonus + equity

THE COMPANY

Harnham is partnering with an innovative health-tech startup building patient-focused agentic AI and LLM applications to advance capabilities in medical claims in hospitals. The AI engineering team builds scalable, data-driven solutions that personalize user experiences and equip care providers with actionable insights, all while working with large-scale infrastructure and diverse technologies.

THE ROLE

• You will be responsible for machine learning model research, building and development for the company’s agentic AI product across HUNDREDS of hospitals
• You will report directly to the founding team and work closely on technical direction
• Own applied AI research and quickly build into production, particularly focusing on novel AI and LLM applications
• You will directly work with production team on implement and design code and build out to production using various machine learning and LLM techniques, owning machine learning modeling
• You will play an integral role of building out the AI team and scaling out its product
• Act as a thought leader role for AI across the business, mentoring junior team members

YOUR SKILLS AND EXPERIENCE

The successful Principal AI Scientist will likely have the following skills and experience:

• 10+ years of commercial experience preferred with a focus on applied machine learning research, building production-grade models with NLP and LLMs ideally with voice, multi-modal or chatbot systems
• Experience working in a scaling startup is highly preferred
• Expertise in Python (TensorFlow, PyTorch) for production-grade work
• Commercial experience building novel AI platforms with large datasets
• History of working with and managing real-time AI applications in production settings
• Cloud experience in AWS, Azure or GCP
• DevOps exposure with CI/CD pipelines preferred
• History of working on models from concept to production / end-to-end / 0-1
• Applied research background in a commercial setting required
• Publication and/or patent history highly preferred
• Experience in settings wearing multiple hats
• Domain experience in healthcare, health-tech, med-tech or similar a plus; EHR, EMR, claims, HEOR or other medical data exposure highly preferred
• History of partnering with non-technical stakeholders required
• Experience owning projects
• PhD degree in Computer Science, Computational Linguistics, Linguistics, Statistics, Applied Mathematics, Physics or similar

THE BENEFITS

A competitive base salary of $250,000-275,000 + benefits + equity

HOW TO APPLY

Please register your interest by sending your résumé to Tim Jonas via the Apply link on this page.

KEYWORDS

Machine Learning | AI | Artificial Intelligence | Technology | Applied Research | Health-tech | Healthcare | Medical | Startup | Deployment | Production | LLMs | LLM | Large Language Models | GenAI | Gen AI | Generative AI | Voice Bots | Chatbots | Natural Language Processing | EHR | Electronic Health | Electronic Medical | HEOR | Claims Data | Patient | Hospital | Docker | Kubernetes | Weights & Biases | PyTorch | TensorFlow | Publications | Patents

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Lead Data Engineer

Compensation $130,000-$180,000

Hybrid role – Houston or Dallas, TX

We’re hiring a Lead Data Engineer to own and scale enterprise-grade data pipelines and platforms in a cloud-first environment. This role blends hands-on engineering with technical leadership, mentoring, and delivery ownership.

What You’ll Do

• Lead the design and optimization of scalable data pipelines on AWS
• Provide technical leadership and mentorship to a team of data engineers
• Partner with architects and stakeholders on data models and platform roadmaps
• Own delivery planning, estimation, and execution for major data initiatives
• Build robust ELT/ETL, orchestration, CI/CD, and monitoring frameworks
• Champion data quality, governance, security, performance, and cost efficiency

What You Bring

• 8+ years of data engineering experience; 3+ years in a technical lead role
• Deep experience with AWS data services (e.g., S3, Glue, Redshift, Athena, EMR/Spark)
• Strong Python/PySpark or Scala skills and advanced SQL
• Experience building large-scale data lakes and warehouses
• Familiarity with orchestration, DevOps, and infrastructure-as-code
• Strong stakeholder communication and leadership skills

Why Join

• Lead a modern, enterprise-scale data platform
• High visibility and influence over technical direction
• Work with large, complex datasets that drive real business outcomes
• Modern cloud stack and clear growth path into architecture or senior leadership

To Apply for this Job Click Here

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DATA SCIENTIST- FINTECH
LONDON
UP TO £65,000

Join a fast-growing, data-driven FinTech expanding rapidly in the US- they operate across personal loans, credit cards, and auto finance, and are widely regarded as a leader in digital lending.

THE ROLE

You’ll join a compact US-focused Data Science team, taking full ownership of the end-to-end model lifecycle. This isn’t a traditional “build and hand off” role, you’ll manage everything from data collection to feature engineering, model development, testing, and deployment.

Key Responsibilities:

• Develop credit risk predictive models, including scorecards, income models, and early repayment models.
• Build automation for lending decisions and support acquisition and verification models for credit cards.
• Create forecasting and marketing models to support customer segmentation and growth strategies.
• Own the full modelling process, from raw data through deployment, without separate engineering teams.
• Collaborate with cross-functional teams to ensure models are robust, actionable, and scalable.
• Continuously improve modelling approaches as volumes and portfolios expand.

REQUIREMENTS

• 1+ years’ experience in ML modelling, ideally with customer prediction models (forecasting, segmentation, pricing).
• Open to candidates from any sector, though financial services, insurance, or gambling is a plus.
• Strong academics – STEM degree from a top university; PhD candidates considered.
• Highly independent, able to own and deliver projects end-to-end.
• Smart, adaptable, and excited to work in a fast-paced, international expansion environment.

HOW TO APPLY

Please apply below or send CV

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STRATEGY ANALYST

HAMPSHIRE

UP TO £50,000

Looking for an Operations Analytics Analyst to join a small, growing analytics team within a UK FinTech lender. This role focused on turning data into actionable insights across the entire customer lifecycle.

THE ROLE

You’ll sit in the Operations Analytics team, working closely with credit, underwriting, collections, fraud and marketing. The team’s aim is simple: use data to understand processes, improve decision-making, and generate insights that drive real business outcomes.

• Analyse customer behaviour from origination to repayment, identifying trends and patterns across the lifecycle.
• Optimise collections strategies to improve efficiency and customer outcomes.
• Extract, manipulate, and visualise data to create reports and dashboards for operational teams.
• Provide insights on marketing and acquisition performance to support business growth.
• Collaborate with credit, risk, fraud, and operational teams on cross-functional projects.
• Translate complex data into actionable recommendations for stakeholders and business decisions.

REQUIREMENTS

• 2+ years in credit, lending or operational analytics
• Strong SQL skills and experience with a visualisation tool
• Clear examples of end-to-end analytical work: pulling data, analysing, translating into action, reporting to stakeholders

HOW TO APPLY

Please apply below or send CV

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PRODUCT DATA ANALYST
Up to £55,000 + benefits
LONDON – HYBRID (2 DAYS A WEEK IN OFFICE)

Please note: you must be a UK resident with full right to work

ABOUT THE BUSINESS
This is a large, global media organisation operating across North America, Europe, and the Middle East, with a strong presence in London. The business combines proprietary technology with large-scale media and publishing operations, reaching millions of users every month across multiple platforms.

The organisation operates across two core areas:

• Technology, providing the infrastructure required to run high-traffic content platforms, including content management systems and advertising technology.
• Media & Publishing, which focuses on producing and monetising premium sports and fan-focused content across a portfolio of major digital brands.

This role sits firmly within the Media & Publishing arm, supporting high-traffic websites and content networks monetised primarily through advertising, sponsorship, and emerging subscription models. As the business continues to explore registration walls, premium content, and audience monetisation strategies, analytics plays a central role in shaping commercial and product decisions.

THE TEAM
You’ll join a close-knit analytics and data team of around 10 people working across publishing, audience, and technology initiatives.

The team includes analysts, data engineering, and data science, working closely with product, editorial, and commercial stakeholders. The environment is fast-paced, collaborative, and still evolving, offering scope to influence how analytics is embedded across the publishing organisation.

THE ROLE
This Product Data Analyst role is focused on understanding audience behaviour, engagement, and monetisation across large-scale media platforms.

You’ll play a key role in shaping how users interact with content – from registration walls and recirculation strategies to experimentation, forecasting, and evaluating new initiatives such as AI-driven content enhancements.

The role combines hands-on analysis with stakeholder management, requiring someone who can confidently challenge assumptions, manage expectations, and translate data into clear commercial recommendations.

KEY RESPONSIBILITIES
Audience & Engagement Analytics

• Analyse and optimise registration walls, including their impact on revenue, engagement, and audience understanding
• Develop approaches to capturing user interests and preferences to improve relevance and personalisation
• Own recirculation analysis, understanding how users move through content once on site

Experimentation & Optimisation

• Design and analyse A/B tests across navigation, banners, “what to read next”, and internal linking
• Evaluate what drives deeper engagement, longer dwell time, and repeat visits
• Partner with product and editorial teams to embed learnings into site strategy

Commercial & Strategic Analytics

• Support advertising and monetisation decisions through audience and behavioural insights
• Contribute to forecasting website traffic and audience growth
• Evaluate the impact of new initiatives, including AI-driven features such as content summarisation

Cross-Business Support

• Work flexibly across different areas of the publishing organisation as priorities evolve
• Communicate insights clearly to stakeholders with varying levels of data literacy
• Push back where necessary, managing expectations and advocating for data-led decision making

TECH STACK

• Cloud-based data warehouse (GCP)
• SQL – strong, hands-on capability required
• Google Analytics for tagging and behavioural analysis
• Python (nice to have, not essential)

SKILLS & EXPERIENCE REQUIRED
Essential

• Strong experience working with large-scale datasets
• Advanced SQL skills, including writing complex queries
• Experience analysing digital audience behaviour and engagement
• Confidence working in fast-moving environments with evolving priorities
• Strong stakeholder management skills, with the ability to challenge and influence

Nice to Have

• Background in media, publishing, or agency environments
• Experience with experimentation and A/B testing
• Exposure to forecasting or advanced analytical techniques
• Experience using Python for analysis

WHY APPLY?

• Join a global media organisation with massive audience reach
• Work on high-traffic, well-known publishing platforms
• Play a central role in shaping audience and monetisation strategy
• Enjoy flexible working with genuine autonomy
• Be part of a collaborative, growing analytics function with room to influence

To Apply for this Job Click Here

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SENIOR DATA ANALYST – 8 MONTH FTC
£60,000 (pro rata)
LONDON – OFFICE-LED (4 DAYS A WEEK IN OFFICE)

Please note, you must be a UK resident with full right to work

ABOUT THE BUSINESS
This leading UK creative advertising agency is known for delivering highly awarded, culture-defining campaigns for some of the world’s biggest consumer brands.

Operating at the intersection of creative, strategy, data, and performance, the agency uses insight and analytics to shape big creative ideas rather than treating data as a standalone function. The focus is on long-term client partnerships, not short-term campaign delivery.

The culture is fast-paced, ambitious, and collaborative, with high expectations around thinking quality, clarity of communication, and client impact. This is an environment where data plays a central role in influencing senior decision-making.

THE TEAM
You’ll join an established data and insight function embedded closely with strategy, performance, platform, and account management teams. The team works at the heart of client relationships, supporting major global accounts and helping shape campaign direction through insight.

This is a highly visible team within the agency, trusted by senior stakeholders and expected to operate with confidence, autonomy, and commercial awareness.

THE ROLE
This is a senior, client-facing analytical role focused on delivering clear, commercially relevant insight to high-profile clients. Sitting between data, campaigns, and client teams, you’ll act as a trusted analytical partner, translating complex performance and web data into compelling, actionable stories.

The role is heavily weighted toward insight generation, reporting, and senior stakeholder engagement, with frequent client meetings and a strong emphasis on communication.

You’ll report into the Head of Data & Insight and support the development of more junior analysts within the team.

CLIENT SPLIT

• Approximately 60% on a priority automotive client
• Approximately 40% across other major agency clients

The priority account requires regular engagement with senior client stakeholders and represents the core focus of the role.

NATURE OF THE ROLE
This is a fast-moving, demanding role where success is built on trust, clarity of insight, and strong relationships.

Key characteristics include:

• Heavy reporting and insight generation
• Senior client meetings at least three times per week
• High expectation to explain data clearly and confidently
• Fast-paced agency environment with demanding clients

Insight typically covers:

• Post-campaign analysis
• Performance optimisation recommendations
• Trading, forecasting, and forward-looking commentary

KEY RESPONSIBILITIES
Performance Marketing & Insight

• Lead analysis and reporting across performance marketing and web data
• Translate complex datasets into clear commercial narratives
• Provide optimisation recommendations based on performance trends

Client Leadership

• Act as a trusted analytical partner to senior client stakeholders
• Confidently present insight, challenge thinking where needed, and guide decision-making
• Support campaign planning, trading activity, and ad hoc client requests

Internal Collaboration & Development

• Work closely with strategy, platform, and account teams
• Provide day-to-day analytical support to account teams
• Support and help develop junior analysts within the data function

DATA EXPOSURE
Data includes:

• Performance marketing data
• Web and conversion metrics
• Customer behaviour data
• Forecasting and trading analysis

SKILLS & EXPERIENCE REQUIRED
Must Have

• Strong Excel skills
• Agency background
• Experience working with performance marketing data
• Confident, outgoing communicator
• Comfortable presenting to senior clients
• Willing to give opinions and challenge constructively

Nice to Have

• Experience in retail, automotive, or similarly fast-paced sectors

To Apply for this Job Click Here

To Apply for this Job Click Here

RESEARCH MANAGER (ANALYTICS/DATA SCIENCE)
Up to £60,000
LONDON – OFFICE-LED (4 DAYS A WEEK, FRIDAYS AT HOME)

Please note, you must be a UK resident with full right to work

ABOUT THE BUSINESS
This fast-growing B2B research technology startup is on a mission to close the “understanding gap” between what organisations believe about people and reality.

Using AI-driven methodologies, the business delivers deeper, faster, and more accurate insights at a fraction of the cost and time of traditional research approaches. The team brings together experienced researchers and cutting-edge engineers to fundamentally rethink how market and audience insights are generated.

With around 50 employees and operating at Series A-B stage, the company works with major brands and mission-driven organisations. A new AI-powered product launch marks the next phase of growth, creating an exciting opportunity to shape and scale its analytics capability.

THE TEAM
You’ll join a highly collaborative team of researchers, analysts, and engineers who work closely to push the boundaries of modern research and analytics.

The environment is intellectually curious, ambitious, and fast-moving, with a strong emphasis on methodological rigour, creativity in analysis, and real-world impact. Team members are trusted to own projects end to end and to continuously improve how research is delivered.

THE ROLE
This Research Manager role focuses predominantly on advanced analytics and plays a key part in evolving and scaling the company’s analytical capabilities.

You’ll lead complex quantitative workstreams across a wide range of projects and industries, pushing analytical thinking beyond standard reporting to uncover deeper insight. The role combines hands-on analysis with ownership of projects, processes, and best practice.

This is an opportunity to have real influence over how analytics is done, helping close the knowledge gap through innovative methods and high-quality thinking.

KEY RESPONSIBILITIES
Analytics Leadership

• Own analytics workstreams for major research projects
• Lead advanced analyses including segmentation, factor reduction, and multi-level / mixed-effects regression
• Set best-practice standards and processes for analytics, including segmentation frameworks
• Push methodological innovation and improve analytical quality across the team

Automation & Efficiency

• Automate common analytical tasks, particularly for trackers and long-running client programmes
• Improve scalability and consistency of analytics outputs

Research Delivery

• Independently run end-to-end research and insight projects
• Work primarily on quantitative research, with exposure to qualitative and mixed-methods studies
• Translate complex analysis into clear, compelling insight for clients and internal stakeholders

Commercial & Proposal Support

• Contribute to and own RFPs and research proposals
• Support the commercial team with methodological input and analytical thinking

SKILLS & EXPERIENCE REQUIRED
Essential

• 3+ years’ experience in analytics and/or research using survey data
• Hands-on experience running statistical analyses including:
• Factor reduction techniques
• Multi-level / mixed-effects regression (linear and logistic)
• Segmentation and cluster analysis
• Strong exploratory data analysis skills with a creative approach to pattern finding
• Deep experience working with survey data, including cleaning, merging, weighting, and wrangling
• Experience working with large or publicly available datasets (e.g. census or national statistics)
• Strong proficiency in R or Python for data analysis and visualisation

Nice to Have

• Experience using both frequentist and Bayesian approaches
• Understanding of the full market research project lifecycle

WHY APPLY?

• Join a fast-growing research technology startup at a pivotal growth stage
• Shape and scale advanced analytics capabilities with real influence
• Work at the intersection of AI, research, and insight
• Collaborate with a smart, ambitious team of researchers and engineers
• Enjoy a flexible, office-led working pattern with genuine autonomy

To Apply for this Job Click Here

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SENIOR ACCOUNT MANAGER

£34,000-£42,000
BRISTOL – HYBRID (3 DAYS A WEEK IN OFFICE)

*Please note, you must be a UK resident and have full right to work to apply*

ABOUT THE BUSINESS

This established, pure-play CRM agency has close to 30 years’ experience delivering data-led customer engagement and retention programmes for some of the UK’s most recognisable brands.

Following a recent international acquisition, the agency is entering an exciting growth phase, with increased demand for strong client services support and opportunities to scale key accounts. The business has evolved from long-term retained work to a faster-paced model focused on multiple short-term, high-impact projects.

The culture is tight-knit, energetic, and highly collaborative. Teams are personable, proactive, and trusted to deliver quality work at pace in a supportive agency environment.

THE TEAM

You’ll join a friendly and fast-moving client services team working closely with Account Directors, strategists, creatives, and technical specialists.

This role sits at the heart of day-to-day client delivery and are critical to maintaining strong relationships, spotting opportunities, and ensuring briefs are executed to a high standard.

THE ROLE

This is a hands-on Senior Account Manager position with a strong emphasis on client relationships, delivery, and strategic thinking. You’ll act as a primary point of contact for clients, working closely with an Account Director to ensure briefs are clearly defined, delivered effectively, and aligned to wider client objectives.

ROLE

New Business / Growth-Focused Account

• Support the Account Director on a recently won, high-profile account with significant growth potential.
• Take on a delivery-heavy role, coordinating work across creative, development, and strategy teams.
• Manage a wide range of client stakeholders and contribute to shaping the strategic direction of the account.
• Identify opportunities within the account and proactively suggest ways to add value.

Established, Strategy-Led Account

• Take responsibility for day-to-day client care on a large, complex account within a regulated environment.
• Provide strategic support, ensuring campaigns and activity align with broader customer and brand objectives.
• Work closely with internal teams delivering execution across direct marketing and email.
• Act as a consistent, reliable client contact, maintaining momentum and quality across ongoing activity.

KEY RESPONSIBILITIES

• Act as a day-to-day point of contact for clients, building strong and trusted relationships.
• Work closely with Account Directors to deliver briefs from briefing through to completion.
• Coordinate internal teams to ensure work is delivered on time, on brief, and to a high standard.
• Contribute strategic thinking to accounts, identifying opportunities for growth and improvement.
• Confidently manage multiple workstreams in a fast-paced, project-led environment.

SKILLS & EXPERIENCE REQUIRED

• Experience at Senior Account Manager level, or a strong Account Manager ready to step up.
• Background in data-led marketing, digital, or agency environments.
• Experience working with large, well-known brands.
• Comfortable operating in a fast-moving, delivery-focused agency.
• Personable, proactive, and collaborative – someone clients and teams enjoy working with.

WHY APPLY?

• Join an established CRM agency during an exciting period of growth and change.
• Work on high-profile, strategically important accounts with clear progression opportunities.
• Develop your client leadership and strategic skills alongside experienced Account Directors.
• Be part of a friendly, supportive team that values energy, pace, and quality of work.

To Apply for this Job Click Here

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MARKETING & CUSTOMER ANALYST
£30,000-£35,000
LONDON – Hybrid (2 days per week in office)

Please note: Candidates must be UK-based with full right to work and be able to attend one of the listed offices at least twice per week.

ABOUT THE BUSINESS
This organisation is a data-led marketing and analytics consultancy working with well-known clients across multiple sectors. It partners closely with marketing, digital, and customer teams to deliver insight-driven strategies that improve campaign performance, customer engagement, and commercial outcomes.

The business operates at the intersection of marketing analytics and customer insight, combining performance data from paid media, digital analytics, and customer behaviour to inform decision-making. Its work is highly collaborative and client-facing, supporting fast-moving marketing environments where insight needs to be translated quickly into action.

THE TEAM
You’ll join a collaborative data and analytics team embedded within client accounts and working closely with marketing, strategy, and technology stakeholders.

The team structure includes data partners, marketing technology specialists, project managers, and senior data leadership. This role will support multiple client engagements, typically splitting time across two accounts, and requires confidence working directly with stakeholders in a fast-paced, agency-style environment.

THE ROLE
This Marketing & Customer Analyst role focuses on analysing marketing performance and customer behaviour to generate clear, actionable insight for clients.

You’ll work across paid media analysis, creative effectiveness, and customer analytics, using data from multiple platforms to understand what’s driving performance and how campaigns and customer strategies can be optimised.

The role is hands-on and delivery-focused, requiring strong Excel capability, confidence working with marketing data, and the ability to clearly communicate findings to non-technical stakeholders through presentations and reporting.

KEY RESPONSIBILITIES
Marketing & Performance Analytics

• Analyse creative effectiveness, headline performance, bidding strategies, and regional optimisation across paid media platforms
• Work with data from platforms such as paid search, paid social, and programmatic advertising
• Assess performance metrics including ROAS, CPL, CTR, and conversion rates
• Combine data from multiple sources, including digital analytics tools, to produce actionable insights

Customer & Behavioural Analytics

• Analyse customer behaviour including loyalty, retention, membership dynamics, and purchasing patterns
• Identify trends, changes, and underlying drivers of customer actions
• Support behavioural segmentation and customer insight initiatives
• Translate findings into clear recommendations that inform marketing and business decisions

Reporting & Stakeholder Communication

• Deliver analysis using tools such as Excel and BI platforms
• Present insights clearly through reports and presentations
• Work closely with data partners and strategy leads to support client delivery
• Operate confidently in client-facing environments, responding to changing priorities

TOOLS & TECHNOLOGY

• Excel (advanced level required)
• Power BI and Looker (both required)
• Digital analytics platforms – Google and Adobe analytics
• Paid media platforms (search, social, and programmatic)

SKILLS & EXPERIENCE REQUIRED
Essential

• 2-4 years’ experience in marketing analytics, customer analytics, or a related role
• Strong Excel skills, including advanced formulas, pivots, and data manipulation
• Experience working with marketing and performance data
• Understanding of paid media metrics and optimisation principles
• Experience analysing customer behaviour and segmentation
• Degree in mathematics, statistics, or a closely related quantitative discipline
• Comfortable working in fast-paced, marketing agency
• Strong communication skills, with the ability to explain insights clearly

WHY APPLY?

• Work on varied, high-impact marketing and customer analytics projects
• Gain exposure to multiple clients and industries
• Develop strong commercial and stakeholder-facing skills
• Join a collaborative, data-led environment with clear progression
• Enjoy flexible hybrid working across multiple UK locations

To Apply for this Job Click Here

To Apply for this Job Click Here

PRODUCT DATA ANALYST / SCIENTIST

UP TO £85,000

HYBRID – LONDON 2x PER WEEK + 1x MONTHLY TEAM TRAVEL

*Please note, you must be a UK resident and citizen to apply*

THE COMPANY

Backed by private equity, this fast-growing consumer technology business is on a mission to become more product-focused and deliver greater personalisation for its users. With strong leadership and exciting growth plans, they’re now looking for a senior-level Product Data Analyst/Scientist to help shape product strategy and deliver actionable insights.

THE ROLE

As a Product Data Analyst/Scientist, you will:

• Own and drive product analytics, focusing on user behaviour and personalisation.
• Deliver insights that directly influence product strategy and experimentation.
• Build and maintain dashboards to track product performance and user engagement.
• Partner with stakeholders across product and analytics to communicate insights effectively.
• Support the business in becoming more data-driven, shaping commercial and product decisions.

YOUR SKILLS AND EXPERIENCE

• Experience in product analytics, within B2C consumer tech businesses
• Strong SQL skills essential.
• Proficiency with data visualisation tools (Looker preferred, open to others).
• Experience with Python desirable.
• Product analytics expertise: experimentation, dashboarding, and driving product strategy.
• Excellent communication and stakeholder management skills.
• Experience influencing product roadmaps and delivering commercial impact.

BENEFITS

• Opportunity to influence product strategy in a PE-backed, high-growth business.
• Work closely with senior leadership, including the Director of Analytics.
• Competitive salary plus benefits.

To Apply for this Job Click Here

To Apply for this Job Click Here

SENIOR PRODUCT DATA SCIENTIST

UP TO £85,000

HYBRID – 1X A WEEK IN LONDON

*Please note, you must be a UK resident to apply and hold full right to work*

JOB DESCRIPTION

My client is looking for a Senior Product Data Scientist to join a growing Insights team. In this role, you’ll partner closely with product, engineering, and machine learning teams to deliver insight, drive experimentation, and shape the future of a consumer-facing product ecosystem.

This position sits at the intersection of technical depth and strategic impact. You’ll dive into data, pipelines, and experimentation frameworks while also influencing product direction, user experience, and commercial outcomes.

WHAT YOU’LL DO

Product Analytics Ownership

• Act as the go-to data scientist for a core product area.
• Develop a deep understanding of user behaviour and product performance.
• Identify opportunities to improve user outcomes and business results.

Influence Product & Business Strategy

• Connect analysis to broader company goals and strategic priorities.
• Help product teams understand trade-offs, challenge assumptions, and make evidence-based decisions.

Experimentation & Measurement

• Design hypotheses and support experimentation frameworks.
• Monitor and analyse A/B tests, providing clear recommendations on rollouts or iterations.
• Conduct post-experiment analysis to evaluate impact and learning.

Enable Data-Driven Decision Making

• Collaborate with product, platform, and data teams to ensure scalable, accurate datasets.
• Build dashboards and reporting that drive awareness, clarity, and action across teams.
• Support self-serve analytics and data literacy within the product organisation.

SKILLS

• Strong SQL skills with experience querying large, complex datasets.
• Basic working knowledge of Python.
• Familiarity with ETL workflows and debugging data issues.
• Proven experience designing and interpreting A/B tests.
• Hands-on experience with data visualisation tools (e.g. Looker, Tableau, or similar).
• Excellent communication skills, with the ability to explain complex concepts clearly and persuasively.
• Commercial mindset, balancing user needs with business outcomes.
• Strong sense of ownership; highly organised and proactive.
• Comfortable working in fast-changing, ambiguous environments.
• Experience working on consumer-facing, mobile-first products or marketplaces.
• Exposure to working alongside machine learning teams or embedding data science into ML-powered product discovery.

To Apply for this Job Click Here

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Research Manager, Analytics (4 days in office, Fridays WFH)
Up to £60,000, London
Series A-B B2B Research Tech Startup (~50 people)

We’re partnered with a fast-growing research technology startup using AI to transform how organisations understand people. The business combines advanced analytics with modern research methods to deliver deeper insights, faster and at significantly lower cost than traditional research approaches.

As the company launches a new AI-driven product, they’re hiring a Research Manager to take ownership of analytics and modelling across client research projects.

The Role

This is a hands-on role focused on pushing the boundaries of quantitative analytics within research. You’ll lead complex modelling work, set best practice for analytics, and independently deliver end-to-end research projects.

Key Responsibilities

• Own analytics workstreams across major research projects

• Deliver advanced analysis including segmentation, factor reduction and regression modelling

• Set standards and best practice for analytics and segmentation

• Automate repeat analytical tasks for trackers and long-running projects

• Run end-to-end research projects (primarily quant; some qual/mixed methods)

• Contribute to proposals and RFPs

About You

Essential

• 3+ years’ experience in analytics and/or research using survey data

• Hands-on experience with regression, factor analysis and segmentation techniques

• Strong data wrangling, cleaning and weighting skills

• Proficiency in R or Python for analysis and visualisation

• Curious, exploratory approach to finding insight in data

Nice to have

• Experience with Bayesian as well as frequentist methods

• Understanding of the full market research project lifecycle

Interview Process

• Screening questions

• Talent interview

• Hiring Manager interview

• In-person task (with opportunity to meet Founder & C-suite)

Find out more and apply via the link below.

To Apply for this Job Click Here