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Clinical Data Scientist
San Francisco, California

Remote

$160,000 – $190,000 + Equity

About the Company

This innovative health tech startup is working to improve the oncology drug development process by providing better patient data to drug developers as well as better access to clinical trials for patients. This series B startup is expending to meet demand.

About the Role

As a Clinical Data Scientist, you’ll execute the last leg of the clinical data pipeline by transforming, cleaning, validating, and delivering high‑quality clinical datasets for pharma partners. Heavy collaboration with Clinical Ops, AI Engineering, and Data Delivery.

Role Responsibilities

• Transform raw, abstracted, and AI‑processed data into CDISC SDTM/ADaM datasets
• Program statistical outputs (tables, listings, figures) in SAS/R/Python
• Investigate data anomalies across multiple messy data inputs
• Define data dictionaries and standards before study kickoff
• Handle data in a HIPAA‑aligned manner

Key Requirements

• 2-5 years in clinical data science, stat programming, or clinical data management
• Pharma/Biotech experience
• SAS, R, Python, SQL
• Real‑world clinical data or oncology trials
• CDISC SDTM/ADaM

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AI Engineer
San Francisco, California

Remote

$200,000 – $220,000 + Equity

About the Company

This innovative health tech startup is working to improve the oncology drug development process by providing better patient data to drug developers as well as better access to clinical trials for patients. This series B startup is expending to meet demand.

About the Role

As an AI Engineer, you will design and deliver applied AI systems (LLMs/CV/multimodal) that automate clinical variable abstraction and clinical note generation-with repeatable validation, robust documentation, and HITL feedback loops. Heavy emphasis on data engineering and backend rigor to make models usable and efficient.

Role Responsibilities

• Build models and pipelines across EMR/EHR, imaging, clinical reports
• Translate ambiguous clinical requirements into measurable ML objectives
• Define metrics, design experiments, estimate error; review peer work
• Deliver validated AI components for abstraction/note generation; meaningfully reduce manual QA workload via HITL; standardize documentation/testing; establish performant data manipulation patterns (e.g., PySpark, SQL/Postgres) that speed iteration.

Key Requirements

• Python
• Pytorch or Tensorflow
• Data engineering: PySpark, SQL, Postgres, query tuning, data modeling
• Cloud data platforms (e.g., Databricks, S3/Snowflake/Azure/GCP)
• Nice to have experience in oncology/biotech/health tech

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PRINCIPAL AI PLATFORM ENGINEER

Up to £90,000 + BENEFITS

SHEFFIELD (Hybrid)

This is a standout opportunity to shape and scale an AI function from the ground up. You will drive the build of production‑grade AI platforms, develop agentic automation for complex workflows, and deliver real business impact in an environment where engineering decisions directly influence performance and efficiency.

THE COMPANY:

They are a technology‑led insurance organisation. Their products are powered by a combination of smart technology and human expertise, enabling them to offer fast, tailored cover to customers with diverse needs. With strong investment behind AI, they are entering a new phase of growth and building their first dedicated AI engineering team. Joining at this stage gives you the chance to influence technical strategy, architecture, and best‑practice from day one.

THE ROLE:

• Build and operate production‑ready AI agents on GCP
• Design robust RAG pipelines covering ingestion, text processing, vector search and secure data handling.
• Implement evaluation frameworks, monitoring, A/B testing and performance dashboards for latency, cost and accuracy.
• Partner with product and operations teams to deploy AI capabilities into live environments and continually optimise performance.
• Shape engineering standards, patterns and tooling as part of a new AI function.

YOUR SKILLS AND EXPERIENCE:

• Strong commercial experience in Data Engineering, ML Engineering or Software Engineering with applied AI delivery.
• Deep hands‑on expertise with GCP services
• Strong Python skills
• Practical experience with LLMs, embeddings, RAG architectures and vector databases.
• A track record of building production‑grade AI systems, including observability, evaluation and automated testing.
• DevOps capability across CI/CD, Docker and Kubernetes or equivalent tooling.

THE BENEFITS:

You will receive a salary, dependent on experience. Salary is up to £90,000 On top of the salary there are some fantastic extra benefits.

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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PRICING ANALYST (INSURANCE)

£40,000

EAST ENGLAND (CAN BE REMOTE BASED WITH OCCASIONAL TRAVEL)

This is an exciting opportunity to join a growing business in the insurance space where you can make a real impact on the business. You’d be able to work across a range of pricing analytics projects, within a small team to really take ownership of your work and the wider team.

THE COMPANY

Our client are an exciting insurance business that are growing well. They’ve gone from strength to strength in recent years and this role is part of their increased presence in the market. You’d be able to work in a close-knit and focused team there with a focus on data and pricing.

THE ROLE

• Work on rate-changes, pricing adjustments and data-led pricing structures
• Refresh, validate and develop risk pricing models for new and current offerings
• Work with aggregators and market analysis to understand trends and customer behaviours
• Develop and implement competitive pricing strategies

YOUR SKILLS AND EXPERIENCE:

• Minimum 1 year experience within insurance or wider financial services OR a placement year in the same area
• Experience in pricing models or strategy is highly desirable
• Experience using SAS/SQL/Python or R
• Strong communication skills and desire to ‘hit the ground running’

SALARY AND BENEFITS

• Up to £40,000 base salary
• Discretionary bonus scheme
• Contributory pension scheme
• Hybrid work model
• 25 days holiday

HOW TO APPLY

Please register your interest by sending your CV to Rosie Walsh through the ‘Apply’ link

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Senior Insight Analyst
£60,000 – £70,000
Fully remote – UK Based

The Company
They are a fast-growing, self-funded analytics consultancy specialising in marketing effectiveness, digital insight, and media performance. Now in their fifth year, they have built long-term retained partnerships with several global businesses and continue to expand through strong client delivery and word-of-mouth reputation. Their model prioritises sustainability, quality, and genuine advisory relationships.

The Role

In this senior, relationship-led analytics role, you will:
* Own and grow senior client relationships across key accounts
* Deliver high quality insight projects each month that inform strategic decisions
* Build on established frameworks to increase commercial impact
* Develop and implement measurement frameworks with global agency partners
* Evaluate digital marketing and media effectiveness, including site performance, media impact, and channel ROI

Your Skills and Experience
You will have:
* Strong experience managing senior stakeholders using data-led insight
* Confident presentation skills and the ability to simplify complexity
* Hands-on experience with digital marketing and site effectiveness analytics
* Knowledge of enterprise analytics platforms such as Google Analytics or Adobe Analytics
* Previous experience working with or within an agency environment

What They Offer
* Fully remote working within the UK
* Performance based bonus
* Competitive salary up to £70,000
* Supportive, collaborative culture with genuine room to shape work and influence clients

How to Apply
Send your CV to register your interest or apply 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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Analytics Manager

London (Hybrid – 2 days in office, Tuesdays required)
Up to £90,000 base salary

An established data and analytics provider within the FS and property sector is looking for an Analytics Manager to lead and deliver high-impact client-facing projects. Sitting at the intersection of data, product, and commercial teams, this role offers the opportunity to influence strategic decision-making across some of the UK’s most prominent banks and mortgage lenders.

You’ll manage a small team of analysts while staying close to delivery – combining technical expertise with business insight to shape how financial institutions use housing market data to drive smarter lending decisions.

Key Responsibilities

• Team Leadership: Mentor and support 2-3 analysts; oversee workload and ensure high-quality output

• Client-Facing Analytics: Present insights directly to clients, translating complex data into strategic value

• Cross-Functional Collaboration: Work with product, commercial, and presales teams to develop tailored solutions

• Strategic Thinking: Stay ahead of market trends and customer challenges to guide analytics direction

• Project Delivery: Lead the end-to-end delivery of analytics projects across multiple stakeholders and timelines

• Innovation Support: Help evolve the product set through insight-led thinking across financial services use cases

What We’re Looking For

• 5-7 years’ experience in analytics, ideally within financial services, credit risk, mortgages, or related sectors

• Proven experience mentoring or managing analysts (or strong readiness to step into a team lead role)

• Strong technical toolkit: SQL, Python, and Excel proficiency

• Skilled communicator – confident presenting to both technical and non-technical audiences

• Experience working with or alongside banks, lenders, or credit decisioning teams

• Highly numerate, creative problem solver with strong business acumen

Nice to Have

• Exposure to property, housing, or mortgage markets

• Experience in a fast-paced, collaborative environment

• Interest in combining product thinking with data analytics

• Ability to manage multiple projects and stakeholders

• Strong presentation skills and a curious, solutions-driven mindset

Why Apply?

• Strategic, visible role with direct impact on how financial clients use data

• Competitive salary up to £90,000

• Hybrid working – 2 days/week in the London office (Tuesdays required)

• Work within a high-calibre analytics team under supportive leadership

• Be part of a mission to simplify and modernise property data in financial decisioning

Interview Process

1. Initial interview (30-45 mins) – with Analytics Leadership

2. Task stage – demonstrate analytical thinking and communication

3. Final round – culture fit and stakeholder interaction
   One stage may take place in person at the London office (London Bridge), where possible

Ready to shape the future of data in property and financial services? Apply now to join a high-performing team that blends deep analytics with real-world impact.

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Analytics Consultant – Digital

London, hybrid (2 days per week in the office) | Up to £40,000 + benefits

Join a high‑growth performance marketing agency where digital analytics sits at the heart of how they plan, optimise, and measure media. If you enjoy variety, solving complex problems with data, and working closely with stakeholders, this role offers a broad remit, strong mentorship, and clear room to grow.

The Company
They are a mid-sized performance marketing agency with a global footprint and a strong presence in the UK. Their clients span household-name brands across energy, public sector, education, and ecommerce. Data, measurement, and experimentation are central to how they design and deliver marketing solutions. You will join a close-knit analytics team embedded within the wider business, partnering with media specialists, strategists, and product teams.

The Role
As a Digital Analytics Consultant, you will sit within the analytics function and support a range of media and marketing projects, primarily in a Google Cloud environment. You will:

• Build and maintain data pipelines and marketing data warehouses, often in BigQuery, to centralise digital and CRM data.
• Work with web analytics tools to design tracking, implement measurement plans, and support migrations such as GA4 setups.
• Develop SQL queries to transform, QA, and analyse data for reporting and deeper insight.
• Create dashboards and visualisations in tools such as Power BI, Looker, or Tableau to communicate performance to non-technical stakeholders.
• Support customer analytics projects including segmentation, CLTV analysis, and audience targeting for CRM and paid media activation.
• Collaborate closely with internal media and solutions teams to scope requirements and translate business questions into data solutions.
• Contribute to experimentation, testing, and recommendations that directly impact client marketing performance.

Your Skills & Experience
You will be a curious, proactive digital analytics professional with:

• Strong commercial experience using SQL to manipulate and analyse data.
• Hands-on experience with cloud data warehousing, ideally BigQuery or a similar platform.
• Practical knowledge of web analytics tools such as Google Analytics (including GA4) or Adobe Analytics.
• Understanding of tagging and implementation, for example using Google Tag Manager or similar tools.
• Experience building or maintaining reports and dashboards in tools like Power BI, Looker, or Tableau.
• A genuine interest in digital marketing, media performance, and how data can drive better decisions.
• Strong communication skills, with confidence working directly with internal stakeholders and clients.
• A collaborative, inquisitive mindset, keen to learn, ask questions, and get involved in a small team environment.

A background in agencies or consultancies is helpful but not essential if you are comfortable working across multiple projects and clients.

What They Offer

• Salary up to £40,000 depending on experience.
• Hybrid working with 2 set days per week in their London office, alongside flexible home-working.
• Ongoing training and upskilling across analytics, cloud, and data science, with mentorship from experienced consultants.
• Exposure to a wide variety of projects across web analytics, data warehousing, CRM, and predictive modelling.
• A supportive, tight-knit team culture where your ideas are heard and you can progress quickly as you grow your skill set.

How To Apply
If you are excited by the blend of digital analytics, cloud data, and hands-on problem solving in a media environment, apply with your CV today to find out more.

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Job Title: Product Data Scientist – Hybrid – Up to £80,000

Location: London (Hybrid, 2 days p/w in office)

Salary: Up to £80,000 + benefits

Contract: Permanent

The Company

A well-established and fast-growing organisation going through an exciting period of digital transformation. With a strong customer focus, they use data and technology to deliver meaningful products and services to a wide audience. The business is scaling its data capabilities and is investing heavily in analytics to drive smarter decisions and long-term growth.

The Role

As a Product Data Scientist, you’ll work closely with teams across the business to unlock insight, guide product strategy, and influence decision-making. You’ll use advanced analytics, experimentation, and data storytelling to identify opportunities, improve customer experiences, and drive measurable impact.

Key Responsibilities:

• Analyse user behaviour to uncover insights, identify pain points, and influence product direction.

• Design experiments and support a culture of testing, learning, and iteration.

• Define and align key business metrics, ensuring consistency and accuracy across teams.

• Build and maintain dashboards and tools to empower stakeholders with self-serve insights.

• Conduct deep-dive analyses to support strategic initiatives and provide clear recommendations.

• Collaborate across functions to close data gaps and drive analytics best practice.

• Stay current on industry trends and champion innovative approaches to product data science.

The Candidate

• Proven experience in analytical roles, ideally within a digital-first or tech-led business.

• Skilled in SQL, Python or R, plus familiarity with BI tools (e.g. Looker, Tableau, Lightdash).

• Ability to translate business challenges into clear analytical projects and recommendations.

• Strong data storytelling and presentation skills, with confidence engaging senior stakeholders.

• Curious, proactive, and detail-oriented problem solver.

• Team player with strong collaboration skills.

What’s on Offer

• Salary up to £80,000 + bonus

• Hybrid working (2 days per week in London office)

• Competitive annual leave package

• Pension scheme and healthcare support

• Employee discounts and perks

• Regular team socials and recognition initiatives

• Strong learning and development opportunities

Apply Now
If you’re an experienced Product Data Scientist/Analyst looking to shape the future of data insight in a growing, forward-thinking organisation, apply today.

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Strategy Analytics Manager
London. Up to 90000 base plus benefits.

This is an opportunity to shape approval strategy in a fast-growing fintech environment, working closely with senior leaders to improve credit decisioning, customer conversion, and overall portfolio performance. You will join a data-first organisation where analytical thinking directly influences commercial outcomes.

The Company
They are a London-based fintech offering innovative consumer and business products, built on a modern lending and subscription-style model. The company operates with strong backing, a proven path to profitability, and a growing international footprint. Data, experimentation, and strategic analytics form the basis of how they make decisions, and they are scaling their Strategy and Analytics team with high-calibre talent.

The Role
You will:
* Lead strategic initiatives focused on improving approval rates and credit decision quality across multiple product lines.
* Use strong SQL capability to interrogate complex datasets and identify drivers of risk, conversion, and performance.
* Build scalable frameworks for tracking and monitoring approval strategies.
* Partner with growth, marketing, product, and risk teams to balance commercial objectives with customer outcomes.
* Test and iterate on approval and underwriting strategies in response to market conditions.
* Present data-driven recommendations to senior stakeholders and influence key decisions across the business.

Your Skills and Experience
You will bring:
* Strong commercial experience in lending, credit risk, approvals, underwriting strategy, or similar data-led environments.
* Advanced SQL skills, including experience working directly with complex, multi-source data.
* Proven ability to use data insights to drive measurable strategy changes.
* Experience collaborating across teams and communicating with non-technical stakeholders.
* A strong quantitative or STEM background.
* Python is beneficial but not essential.

What They Offer
* Up to 90000 base salary plus benefits and share options.
* Hybrid working pattern with three days a week in the London office.
* Exposure to experienced leaders in a high-performing Strategy and Analytics function.
* Clear progression opportunities as the business continues to scale in the UK and internationally.

How to Apply
If you have strong SQL skills and experience shaping data-driven strategy in lending or analytical environments, apply today to learn more.

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Research Manager

London | 45000 to 55000

This is an excellent opportunity to join a high‑growth research and technology business that is transforming how organisations understand consumers, citizens and audiences. You will work across diverse clients, take ownership of end‑to‑end quantitative projects, and play a key role in delivering high‑quality insight using innovative research technology.

The Company

They are a fast‑scaling research and data company built around modern technology, smart automation and robust quantitative methods. Their platform delivers high‑quality polls, surveys and data outputs at speed, supporting commercial brands, non‑profits and social organisations. The team brings together strong research expertise and engineering talent, creating a collaborative environment that is both analytical and forward‑thinking. They have built a strong reputation in the market and continue to grow rapidly.

The Role

* Independently manage and deliver quantitative research projects across sectors including political, consumer and multi‑market studies.
* Lead client communication from project scoping through to presenting results and insights.
* Manage client accounts, acting as the main point of contact and understanding broader strategic needs.
* Create data tables and outputs using internal tools and reporting platforms.
* Partner with consulting and analytics teams on larger insight programmes, occasionally leading these end‑to‑end.
* Mentor and develop junior researchers, ensuring strong delivery standards.
* Design high‑quality surveys, manage sampling and ensure data integrity across all stages.
* Support the delivery of brand tracking, brand lift, ad testing, segmentation and multi‑country research programmes.
Your Skills And Experience
* Strong experience delivering quantitative market research projects from brief to debrief.
* Confident designing surveys, managing fieldwork and producing data tables and cross‑breaks.
* Comfortable cleaning raw data and ensuring outputs meet strong quality standards.
* Strong Excel capability; familiarity with tools such as DisplayR is beneficial.
* Commercial awareness and ability to support quoting, proposals and RFP responses.
* Able to manage client conversations, challenge assumptions and provide clear recommendations.
* Comfortable mentoring junior team members and supporting their development.
* Detail‑oriented, proactive and committed to delivering high‑quality research.

What They Offer

* Salary between 45000 and 55000.
* Hybrid working with four days a week in their London office
* Exposure to a wide variety of clients across commercial, political and social sectors.
* Opportunity to work with innovative research technology, including AI‑powered tools.
* Benefits including private healthcare, 25 days annual leave and pension contributions.
* A collaborative, inclusive environment with strong learning and development opportunities.

How To Apply

If you are looking to take ownership of impactful quantitative research projects within a modern, innovative research team, apply now to learn more.

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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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