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About the Role

We’re looking for a Principal Data Scientist to lead the development of AI-powered products that transform how students and educators experience learning. You’ll work at the intersection of generative AI, personalization, and educational content, building systems that adapt to individual learners at scale. This is a high-visibility, hands-on role where your work directly shapes product direction and student outcomes.

What You’ll Do

• Design and build AI/ML systems for personalization and content generation across education products

• Architect end-to-end machine learning pipelines, from data ingestion to model deployment and monitoring

• Lead the implementation of GenAI solutions, ensuring responsible use through AI guardrails and safety frameworks

• Partner cross-functionally with product, engineering, and curriculum teams to translate learning science needs into scalable AI solutions

• Drive MLOps best practices including CI/CD for models, experiment tracking, and production monitoring

• Mentor and technically guide junior data scientists and ML engineers across the org

What We’re Looking For

• PhD in Statistics, Mathematics, Computer Science, or another quantitative field

• 5+ years of professional data science experience outside of a PhD program

• Strong hands-on Python and SQL skills – you’re comfortable writing production-grade code

• Experience with Databricks (or equivalent distributed compute platforms) and AWS (or comparable cloud infrastructure)

• Demonstrated experience with generative AI, ideally applied to personalization or recommendation problems

• Familiarity with AI guardrail frameworks and responsible AI practices

• Solid MLOps experience: model versioning, deployment pipelines, monitoring, and retraining workflows

• Strong system design ability – you can architect solutions that scale and communicate those designs clearly to stakeholders

Nice to Have

• Experience in edtech, consumer personalization, or content generation platforms

• Familiarity with LLM fine-tuning, RAG architectures, or prompt engineering at scale

• Background in learning science, adaptive learning systems, or curriculum design

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Product Analyst
London – Hybrid (3/4 days a week in office)
Up to £65,000

We’re hiring a Product Analyst to join a fast-growing B2B2C tech business powering on-device digital experiences for mobile operators-reaching millions of users and billions of impressions every month.

You’ll join a high-impact Product Analytics team, working closely with senior stakeholders to deep-dive into product performance, uncover insights, and drive experimentation. This is a hands-on role where you’ll spot opportunities, investigate anomalies, and help scale A/B testing capabilities.

What you’ll be doing:

• Deep-dive analysis of product features and performance
• Lead and evaluate A/B tests and experimentation
• Identify trends, issues, and opportunities within large datasets
• Collaborate with product teams to optimise user experience

What we’re looking for:

• Strong SQL and Looker experience
• Background in Product Analytics and experimentation (A/B testing)
• Python (preferred) and DBT (nice to have)
• Excellent communication skills and a proactive mindset

How to Apply:

If you are a Product Analyst who is looking to make an impact in a product focused and data driven enviroment, apply now to reveal more.

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Product Analyst

Up to £65,000

London – Aldgate East

Hybrid – 3 to 4 days in office

OVERVIEW

Are you a naturally curious analyst who wants to go beyond dashboards and actually shape how a product evolves? This is your chance to join a high-impact data team at a fast-growing tech business whose digital products reach millions of users every month.

THE COMPANY

This innovative B2B2C tech business builds on-device content tools for major mobile network operators, with digital products that drive billions of impressions monthly. As they scale rapidly, data and experimentation sit at the heart of every product decision they make.

THE ROLE

As a Product Analyst you will own the analytical process behind product decisions, digging deep into performance data and scaling the business’s experimentation capability.

Specifically, you can expect to be involved in the following:

• Conducting deep-dive analytics investigations into product and feature performance, identifying anomalies and surfacing actionable insights
• Designing and evaluating A/B tests and experiments to assess the impact of product feature changes
• Working across SQL and Looker to build and maintain robust reporting
• Collaborating closely with the Head of Data and two Senior Product Analysts to prioritise and deliver analytical work

SKILLS AND EXPERIENCE

The successful Product Analyst will have the following skills and experience:

• Strong SQL and Looker skills
• Solid A/B testing and experimentation experience
• A product analytics background from a fast-paced, consumer-facing environment
• Python experience (ideally)
• Excellent communication skills – able to translate complex findings for non-technical stakeholders
• dbt experience is a bonus

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12 Month FTC Applied Automation Engineer
London, Goodge Street | £80,000 to £100,000
This is a rare opportunity to join a lean, high trust investment organisation at a pivotal moment. They are building a fully automated reporting and calculation platform from the ground up, replacing long standing manual processes with a modern, scalable solution. You will have clear ownership, real influence, and the chance to deliver a system that will shape how the business operates for years to come.
The Company
They are a well established investment firm operating in the alternative investment space, with a long term track record and a global client base. The business is intentionally small and flat, with direct access to senior leadership and a culture built on trust, low ego and accountability. Based in a modern London office, they combine institutional standards with the pace and autonomy of a specialist team.
The Role

• Own the end to end delivery of an automated reporting and calculation platform, from design through to production.
• Automate the ingestion of data from a wide range of structured and unstructured sources including APIs, files and external partners.
• Design and implement robust data workflows and SQL based data structures to support complex financial calculations.
• Build reliable, auditable systems that significantly reduce manual intervention in NAV and LAV processes.
• Work closely with the Head of Data Science, the founder and technical and non technical stakeholders across the business.
• Lay the foundations for future AI and agent based automation as the platform evolves.

Your Skills and Experience

• Strong commercial experience building production grade systems using Python and SQL.
• Excellent problem solving skills with a logical and mathematical mindset.
• Experience integrating multiple data sources and APIs into cohesive workflows.
• Exposure to CI/CD, version control and modern engineering best practice.
• Confidence owning ambiguous, high impact projects end to end.
• Any exposure to financial services, automation of legacy processes, FastAPI or AI driven systems is a bonus but not essential.

What They Offer

• A 12 month fixed term contract with a high likelihood of extension or conversion to permanent.
• Hybrid working model with three days in the office after an initial onboarding period.
• The chance to make a visible, lasting impact in a small, trusted team.

How to Apply
Apply now to learn more about this Applied Automation Engineer opportunity and discuss whether it could be the right next step for you.

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Senior Data Analyst, Players
Hertfordshire| £80,000 to £95,000 base plus bonus | Hybrid, 3 days in office

This is a rare opportunity to step into a highly influential analytics role where insight directly shapes commercial strategy. You will operate at pace, work through ambiguity, and partner closely with senior leaders to solve some of the most complex and high impact player challenges in a regulated consumer environment.

The Company
They are a large scale, consumer facing organisation operating in a highly regulated market with a strong social purpose at its core. Data and analytics sit at the heart of decision making, with leadership actively championing a data led culture. Marketing and digital are major investment areas, supported by one of the largest and most sophisticated data estates in the UK.

The Role

• Sit within a central Player Analytics team supporting digital, marketing, CRM and wider commercial initiatives
• Lead ad hoc deep dive analysis to uncover player behaviour, commercial opportunities and risks
• Partner with senior stakeholders to shape decisions around product launches, digital optimisation and innovation
• Build commercial models to assess upside, cannibalisation and portfolio level impact
• Evaluate new game mechanics and incentive structures, including financial impact and responsible play considerations
• Design and analyse test and learn activity, measuring uplift and unintended consequences
• Act as a trusted thought partner, anticipating questions and challenging assumptions with confidence

Your Skills and Experience

• Strong commercial analytics experience in a fast paced, consumer or digital environment
• Advanced SQL skills, with experience working in modern cloud data warehouses
• Hands on experience with Python and or R for advanced analysis such as segmentation, cohorting or clustering
• Confidence working with ambiguity and rapidly shifting priorities
• Ability to clearly articulate complex insights to senior, non technical stakeholders
• Exposure to regulated industries and an understanding of responsible customer engagement is highly valued

What They Offer

• Salary of £80,000 to £95,000 base plus a strong bonus structure with upside
• Hybrid working pattern with three days per week in the Watford office
• High trust, high autonomy role with direct exposure to senior decision makers
• The chance to work on high impact projects with genuine social value
• Excellent scope for professional growth in a data led organisation

How to Apply
Apply now to explore this opportunity further and discuss how your analytics expertise could make a real impact.

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Analytics Manager

London (Remote First) | Up to £120,000

This is a rare opportunity to take ownership of an analytics function within a fast‑growing, product‑led business. You will shape how data drives decision making, lead a growing team, and work across high‑impact commercial and product areas.

The Company

They are a scaling technology business operating in a highly regulated, data‑rich environment. Data sits at the heart of their product, trading and growth strategy, and they are investing heavily in maturing their analytics capabilities. You will join a collaborative, pragmatic and impact‑focused team that partners closely with stakeholders across the organisation.

The Role

* Lead and develop a team of Analysts and Analytics Engineers.
* Act as the primary analytics partner for senior stakeholders across Growth, Trading, Product, Finance and Compliance.
* Translate business problems into clear analytical questions, metrics and decision‑ready insight.
* Review and challenge analytical work to ensure accuracy, clarity and scalability.
* Drive best practice across SQL, data modelling, documentation and quality standards.
* Prioritise work effectively based on value, impact and capacity.
* Communicate findings, risks and trade‑offs clearly to non‑technical teams.

Your Skills and Experience

* Strong commercial experience in analytics or analytics leadership.
* High proficiency in SQL, with the ability to write, review and challenge complex queries.
* Comfortable managing and developing a small analytics team.
* Experience working with stakeholders in product, growth or trading style environments.
* Familiarity with regulated industries such as gaming, gambling, finance or fintech.
* Experience with BI tools such as Omni, Looker or similar is beneficial.
* A statistical foundation and comfort being tested on analytical thinking.
* Experience in fast‑paced start‑ups or scale‑ups, comfortable wearing multiple hats.

What They Offer

* Salary up to £120,000.
* Remote‑first working with London as the primary hub.
* Opportunity to shape an analytics function as it scales.
* Work across high‑impact commercial and product challenges.
* Clear progression into senior analytics or data leadership roles.

How to Apply

If you are an experienced Analytics Manager looking for a high‑impact role in London, please apply with your CV to discuss this opportunity further.

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Lead Data Analyst

London Bridge hybrid, £65,000 plus benefits

A great opportunity to take on a strategic Lead Data Analyst role where you will work across experimentation, modelling and BI projects, while shaping long term data strategy and supporting complex digital marketing programmes.

The Company
They are a high growth data and performance consultancy combining analytics, data science and engineering to drive measurable, sustainable growth for well known brands. Their work spans digital marketing data, advanced measurement and predictive modelling, with strong access to client datasets and a culture centred on technical excellence.

The Role
* Lead analytical work across experimentation, causal inference and incrementality
* Build predictive models such as LTV, propensity and forecasting
* Deliver BI and reporting projects using cloud based data and dbt pipelines
* Work hands on with SQL and digital marketing data from Google and Meta
* Partner with data scientists to deploy models into advertising platforms
* Mentor analysts and contribute to technical development across the team

Your Skills And Experience

* Strong technical ability with SQL
* Experience using dbt for transformation and production data models
* Background working with digital marketing data and ad platform signals
* Exposure to BI and analytics projects using tools such as Looker or Tableau
* Understanding of experimentation, causal inference and incrementality
* Knowledge of MMM, LTV and propensity modelling
* Confident communicator who can collaborate with a range of stakeholders

What They Offer

* Up to £65,000 salary
* Hybrid working with one day per week at London Bridge
* Advanced analytics, modelling and measurement projects
* Strong progression opportunities in a growing data function

How To Apply
If this sounds like your next step, apply today to learn more.

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Product Analyst – £55,000 (Hybrid – London)

Industry: Consumer Marketplace / Mobile App
Department: Product & Insights

We’re looking for a Product Analyst to join a fast-growing consumer marketplace used by millions globally. You’ll work closely with product managers, designers, and engineers to uncover insights, shape user experiences, and drive commercial performance.

What You’ll Do

• Analyse user behaviour and product performance across key journeys

• Build dashboards and self-serve insights for cross-functional teams

• Support A/B testing: design experiments, interpret results, recommend next steps

• Work with data and platform teams to ensure clean, scalable datasets

• Present clear, actionable insights that influence product strategy

What We’re Looking For

• Strong SQL skills and experience working with large datasets

• Comfortable using Python for product analytics

• Experience with product experimentation / A-B testing

• Familiarity with Looker, Tableau, or similar BI tools

• Confident communicator who can simplify complex data for stakeholders

• Curious, proactive, and thrives in a fast-paced product environment

Why Apply

• Work on high-impact product features used by millions

• Hybrid working, flexible culture, strong learning budget

• Fast-growing environment with real ownership of analysis and experiments

Find out more and apply via the link below.

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Lead Marketing Analyst

Location: Fully remote (UK-based)
Salary: Up to £80k + 10% bonus

About the Business

A long-established, consumer-focused digital business backed by private equity. The company is undergoing a significant transformation under new leadership, with a clear three-pillar growth strategy centred around:

1. Expanding and strengthening its core digital products.

2. Enhancing customer experience to drive engagement and loyalty.

3. Building stronger community connections and marketing reach.

The business is in the process of modernising its approach to data and analytics, with major work underway on evolving its subscription model and diversifying revenue streams.

The Role

This is a newly created position within the central Analytics, Data, and Engineering function, designed to add an extra layer of leadership within the marketing analytics space.

You’ll take full ownership of the marketing analytics function, line-managing one Senior Analyst, and act as the go-to expert for marketing insight and reporting. You’ll work closely with senior stakeholders across marketing, commercial, and product to ensure data-driven decision-making, presenting confidently at executive and board level.

What You’ll Be Doing

• Leading a small analytics team delivering insights to guide marketing targeting, spend, and impact.

• Owning full-funnel, cross-platform customer analysis (web analytics, attribution partners, CDPs).

• Improving campaign decision-making through attribution, incrementality, and media mix modelling.

• Partnering with Data Science to build predictive models (LTV, churn).

• Owning and refining marketing forecast models for budget and performance planning.

• Using statistical analysis to optimise testing methodologies and outcomes.

• Developing best practice, transparent reporting, and actionable insights.

• Managing stakeholders across the business to improve marketing decisions.

• Building strong cross-functional relationships to promote a data-driven culture.

• Working with Data Engineering to manage data requirements and ensure quality deliverables.

Candidate Profile

Background

• Ideally from gaming, but open to e-commerce, ad-tech, or subscription/dating apps.

• Must have a strong B2C focus.

Experience

• Proven track record in marketing analytics.

• Comfortable leading and mentoring others.

• Strong stakeholder management and presentation skills.

• Line management experience (desirable but not essential).

Technical Skills

• SQL (essential).

• Power BI / Looker.

• Data visualisation expertise (Snowflake desirable).

• Knowledge of attribution, forecasting, incrementality testing, MMM, LTV/churn modelling (advantageous).

Package & Benefits

• ~£80k base salary + 10% bonus.

• Private healthcare (including dental).

• 6% pension contribution.

• Life insurance + employee assistance programme.

• Enhanced family leave.

• 25 days holiday + bank holidays (buy/sell option).

• Flexible working hours.

Interview Process

1. 1st stage: Zoom interview with senior marketing leadership.

2. 2nd stage: Take-home task + panel presentation.

3. 3rd stage: Final interview with executive team.

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