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Data Scientist
London, 60,000 to 70,000 plus benefits, hybrid working, no sponsorship

This role offers the chance to step into a high‑impact data science position within a fast‑moving pricing environment where analytics directly influences commercial outcomes. You will work on complex, real‑world modelling problems with genuine ownership and visibility, rather than supporting work at the edges of the business.

The Company
They are a well‑established European insurance business operating in a highly data‑driven and technology‑led environment. With strong backing and ambitious growth plans in the UK, analytics plays a central role in how they compete and respond to market change. The culture is collaborative, fast paced and focused on building advanced analytical capability in‑house.

The Role

• Work within a pricing and underwriting data science team, building and improving predictive models that influence commercial strategy.
• Develop pricing and risk models that balance competitiveness with profitability.
• Explore, evaluate and integrate new data sources to enhance model performance.
• Use statistical thinking, logic and reasoning to simulate customer behaviour, including risk frequency and price sensitivity.
• Communicate insights clearly and influence decision‑making across technical and non‑technical stakeholders.
• Partner closely with machine learning engineers and other data professionals to deploy robust, scalable solutions.

Your Skills and Experience

• Strong commercial experience in data science or statistical modelling within any industry.
• Advanced Python skills for analysis and modelling.
• A solid grounding in statistical or mathematical concepts and applied problem solving.
• Confidence reasoning through complex problems and explaining your approach clearly.
• Experience working with end‑to‑end modelling problems, from concept through to impact.
• You must already have the right to work in the UK, as sponsorship is not available.

What They Offer

• Salary ranging from 60,000 to 75,000 depending on experience.
• Hybrid working with 1 to 2 days per week in the London office.
• High levels of autonomy and ownership over meaningful projects.
• Exposure to a wide range of analytical challenges in a fast‑growing business.
• Clear opportunities for progression as the UK data function continues to scale.

How to Apply
Apply now to learn more about this data science opportunity within a high‑impact pricing team.

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Data Scientist
London hybrid (1 to 2 days in the office) | £45,000 to £50,000 + benefits
Must have a masters in Maths or Physics from a Russell Group University
No sponsorship.

This is an opportunity to join a fast-growing insurance business at a pivotal stage of its UK expansion. You will sit in a highly analytical pricing and underwriting team, working on commercially critical models that directly influence pricing strategy, customer behaviour, and market competitiveness. The role offers strong ownership, rapid learning, and clear progression in a business that invests heavily in developing its data talent.

The Company

They are a European insurance provider operating in a highly competitive market, known for using data and technology as a core differentiator. Having achieved significant scale in their home market, they are now expanding rapidly across Europe with strong financial backing and ambitious growth plans. The culture is fast paced, highly data driven, and focused on building advanced analytical capability ahead of the market. They place particular emphasis on developing high-potential individuals and giving them exposure to meaningful, business-critical work.

The Role

• Work within the pricing and underwriting function to improve price accuracy and competitiveness
• Build and develop predictive models to better understand risk, customer behaviour, and pricing sensitivity
• Explore and integrate new data sources to enhance existing pricing and risk models
• Simulate customer behaviour, such as claim likelihood and response to pricing changes
• Translate analytical insights into practical recommendations that support new business growth
• Collaborate closely with other data scientists, machine learning engineers, and stakeholders across the business

Your Skills & Experience

• Strong academic background in a quantitative subject such as Mathematics or Physics
• Excellent logical reasoning and problem-solving ability
• Experience applying data science or modelling techniques in a commercial environment, or strong academic project experience
• Python experience is essential, with openness around other tools and technologies
• Ability to communicate complex ideas clearly and reason through problems out loud
• Motivated, curious, and keen to develop quickly in a demanding analytical environment

What They Offer

• Salary from £45,000 to £50,000 for strong Master’s graduates
• Hybrid working with 1 to 2 days per week in the London office
• Exposure to a wide range of pricing and modelling projects with real commercial impact
• Strong learning culture with support, mentorship, and clear development pathways
• Opportunity to join a growing UK analytics function within a well-funded, high-growth business

How to Apply

If you are interested in this Data Scientist role and want to find out more, please apply!

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Senior Marketing Analyst

£70,000-£90,000

London (Hybrid – 4x Days a Week in office, White City)

THE COMPANY

This is an opportunity to join a global marketing and data powerhouse operating at the intersection of data, technology, and advertising, part of a wider international group; they help major brands understand their customers, optimise digital media, and ultimately drive real commercial impact (not just clicks). Think sophisticated audience targeting, campaign personalisation, and deep measurement across online behaviour. Their analytics team is growing (5 → 8), led by a highly respected Analytics Director, with strong exposure to senior leadership and clients across retail and food delivery.

THE ROLE

This is a senior, client-facing analytics role with a strong focus on measurement, effectiveness, and commercial impact. You’ll act as a trusted analytics voice in client conversations, particularly around Marketing Mix Modelling (MMM) and econometrics

Key responsibilities include:

• Leading analytics across multiple client accounts and campaigns
• Interpreting campaign performance and identifying actionable insights
• Working with large behavioural and transactional datasets
• Advising clients on measurement approaches and campaign effectiveness
• Engaging with external MMM providers: challenging assumptions, understanding limitations, and influencing decisions
• Supporting broader analytics strategy across a network of agencies

This is a hands-on role with strategic exposure; ideal for someone who enjoys both deep analysis and stakeholder engagement.

YOUR SKILLS AND EXPERIENCE

• Extensive experience in marketing analytics
• Strong understanding of MMM / econometrics principles (hands-on or closely involved)
• Ability to confidently engage with clients and explain complex ideas clearly

THE BENEFITS

• £70,000-£90,000

HOW TO APPLY

Please register your interest by sending your CV to Adam Osborne at Harnham via the Apply link on this page.

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Portfolio Manager

Salary
£60,000-£75,000 + car allowance + Bonus + Pension

Location + work pattern
Offices in London and the midlands (hybrid working, one day per week in the office)

THE COMPANY

• A well-established UK insurer operating across multiple personal lines products, serving a large national customer base.
• Known for its strong data, analytics and technology capability, with significant ongoing investment in pricing and risk analytics.
• A business focused on disciplined underwriting, fair customer outcomes and data-led decision making.

THE ROLE

This role sits within an alternative pricing and portfolio analytics team, focused on understanding and shaping the composition of the insurance portfolio. You will bridge pricing strategy and implementation, ensuring portfolio performance aligns with pricing intent and risk appetite.
Specifically, you can expect to be involved in:

• Analysing portfolio performance using loss ratio and profitability metrics across defined customer segments.
• Owning the ongoing assessment of pricing, identifying segments to grow, constrain, reprice or redesign.
• Translating analytical insight into clear recommendations for pricing, modelling and underwriting teams.
• Leading cross-functional projects that address emerging portfolio risks or strategic opportunities.
• Supporting strong governance and fair customer outcomes through robust, evidence-based challenge.

YOUR SKILLS AND EXPERIENCE

• Experience in pricing, underwriting or portfolio analytics within insurance or a closely related financial services environment.
• Strong analytical capability with the ability to interpret performance data and draw commercial conclusions.
• Hands-on experience using Python or SQL for analysis (experience with both is advantageous).
• Confidence communicating insights to non-technical stakeholders and influencing pricing direction.
• Ability to take ownership of workstreams and collaborate across multiple teams.

THE BENEFITS

• Performance-related bonus and additional cash allowance.
• Private medical cover and comprehensive health and wellbeing support.
• Competitive pension with employer matching.
• Generous holiday allowance with the option to buy or sell days.
• Additional benefits including life assurance, income protection and product discounts.

THE PROCESS

• Initial 30-minute interview focused on experience and role alignment.
• Technical case study with presentation and discussion.
• Competency-based interview assessing leadership and delivery capability.
• Final-stage interview focused on team fit and sign-off.
• Offer!

HOW TO APPLY

Please register your interest via the apply link on this page.

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Marketing Analyst

£40,000 – £50,000

Hybrid – West London (4x days per week onsite)

This is an opportunity to join a growing analytics team where your work directly influences client strategy and commercial outcomes. You will work with rich online and offline datasets, turning complex data into clear, actionable insight that shapes digital media performance and long term growth.

The Company

They are a well established organisation operating at the intersection of data, digital media and marketing analytics. The business supports a diverse portfolio of clients, using advanced data capabilities to drive smarter decision making and measurable impact. Collaboration is central to their culture, with analytics embedded across commercial, technical and client-facing teams. They invest in modern tools and encourage analysts to bring new ideas and approaches.

The Role

• Deliver analytics across multiple client accounts, supporting data driven media and marketing strategies.
• Analyse campaign performance to identify opportunities for optimisation and improved outcomes.
• Work hands-on with large datasets, building queries and conducting custom analysis using SQL.
• Translate complex findings into clear insights for non-technical stakeholders.
• Partner closely with sales, account management, media delivery and product teams.
• Contribute ideas and creative solutions that improve how analytics is used across the business.

Your Skills and Experience

• Strong commercial experience in analytics within a client-facing or agency environment.
• Confidence working with customer, transactional or loyalty datasets.
• Practical experience using SQL or a similar querying language.
• Experience with data visualisation or business intelligence tools such as Tableau.
• Solid Excel skills and comfort working with large, complex data sets.
• Understanding of digital media or advertising technology is beneficial.

What They Offer

• Competitive salary with a comprehensive benefits package.
• Hybrid working model with time spent collaborating in a London office environment.
• Exposure to a wide range of clients, products and data challenges.
• Clear opportunities for progression and development within analytics and data.
• A collaborative culture that values curiosity, autonomy and impact.

How to Apply

If you are looking to grow your career in account-focused analytics and want to make a tangible impact through data, apply today.

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Senior Marketing Analyst

Hybrid – West London (4x days per week)

£80,000 – £90,000

This is a high-impact analytics role where you will work at the intersection of data, media, and commercial decision-making. You will play a key role in shaping how data-driven insight influences marketing strategy and campaign performance for a portfolio of high-profile accounts.

The Company

They are a well-established, data-led organisation operating in the digital media and marketing analytics space. The business is known for working with large, complex datasets and using advanced analytics to drive measurable commercial outcomes. Collaboration sits at the heart of their culture, with analytics partnering closely across sales, account management, media, and product teams. They offer a stable yet progressive environment where analytical thinking is valued and visible.

The Role

• Lead analytics delivery across multiple client accounts and digital media products.
• Evaluate campaign performance using online and offline data to generate actionable insights.
• Support the development of data-driven media and marketing strategies that drive business growth.
• Build and deliver custom analyses, including hands-on data manipulation and querying.
• Contribute to marketing mix modelling and ensure performance is accurately represented in MMMs.
• Partner closely with internal stakeholders across commercial, media delivery, and product teams.
• Communicate complex analytical findings clearly to non-technical audiences.
• Coach and support colleagues on best practice in analysis interpretation and insight storytelling.

Your Skills and Experience

• Strong commercial experience in marketing or media analytics within a client-facing environment.
• Proven capability in analysing digital media performance and advertising effectiveness.
• Experience building, validating, and interpreting marketing mix models.
• High level of statistical literacy, including experimental design and model interpretation.
• Practical experience using SQL and/or analytical programming languages such as Python or R.
• Experience with data visualisation tools such as Tableau or similar BI platforms.
• Confidence translating complex data into clear, business-focused recommendations.

What They Offer

• Competitive salary and benefits package.
• Hybrid working model with regular collaboration from the London office.
• Exposure to complex, large-scale datasets and high-impact analytical projects.
• Clear opportunities for progression within a growing analytics function.
• A collaborative, supportive environment that values curiosity and analytical rigour.

How to Apply

Apply now to find out more about this Senior Account Analytics Analyst opportunity and how it could support your next career move in analytics.

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Data Scientist
London, 45,000 to 50,000 plus benefits, hybrid working 1 to 2 days per week, No sponsorship available

This is a standout opportunity for a high‑potential graduate to launch a data science career in a business where analytics directly shapes commercial decisions. You will join a pricing team known for developing early‑career talent, offering real ownership, structured learning and exposure to impactful projects from day one.

The Company
They are a fast‑growing European motor insurance business operating in a highly data‑driven, technology‑led environment. Having successfully scaled across multiple markets, they are now investing heavily in their UK analytical capability. The culture is ambitious, collaborative and focused on hiring bright, curious people with strong problem‑solving ability.

The Role

• Work within a data science function aligned to pricing and underwriting.
• Build and improve predictive models to support pricing competitiveness and risk management.
• Use logical reasoning and statistical thinking to simulate customer behaviour, including risk and price sensitivity.
• Explore and assess new data sources to enhance modelling performance.
• Communicate your approach and reasoning clearly when solving complex problems.
• Collaborate closely with experienced data scientists and machine learning engineers.

Your Skills and Experience

• A Masters degree in Mathematics, Physics or a closely related quantitative subject.
• Strong academic performance with a 2.1 or above.
• Excellent logical, analytical and problem‑solving skills.
• Motivation, curiosity and a clear interest in applied data science.
• Ability to explain your thinking and approach when tackling unfamiliar problems.
• Any exposure to Python or analytical programming is beneficial but not essential for graduates.
• You must already have the right to work in the UK, as sponsorship is not available for this role.

What They Offer

• Salary of 45,000 to 50,000.
• Hybrid working with 1 to 2 days per week in the London office.
• Structured training, mentorship and clear development pathways within data science.
• High levels of responsibility and ownership early in your career.
• The chance to grow within a business that genuinely values data and invests in its people.

How to Apply
Apply now to learn more about this graduate data science opportunity within a high‑performing pricing team.

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Staff AI Engineer

(Hands‑on, LLM Platforms, Technical Lead)

Location: New York
Working model: On‑site
Package: Competitive base + performance‑linked upside

The Opportunity

An established, technology‑driven organisation is building a central AI engineering capability to support complex, data‑intensive decision‑making across the business.

This is a high‑impact individual contributor role for a Senior AI Engineer who enjoys operating close to the commercial core. You’ll take ownership of critical AI systems from architecture through to deployment, working within a small, trusted technical group with direct access to senior stakeholders.

The environment suits someone who thrives in low‑bureaucracy, high‑autonomy settings, where AI is expected to deliver real, measurable value, not experiments for experimentation’s sake.

The Role

You will act as the technical lead for advanced AI tooling, owning system design and delivery across a range of internal use cases.

Responsibilities include:

• Designing and building LLM‑based applications, including retrieval‑augmented generation and agent‑style workflows
• Owning end‑to‑end system architecture, performance, and scalability
• Developing AI tools to support research, monitoring, knowledge discovery, and decision support
• Establishing evaluation and quality frameworks to ensure AI outputs meet high reliability standards
• Reviewing code, setting engineering standards, and supporting the development of other engineers
• Partnering closely with non‑technical users to translate complex workflows into intuitive AI products
• Assessing third‑party tooling and platforms where appropriate

This is a deeply hands‑on role with real ownership.

What We’re Looking For

Core requirements:

• Strong software engineering background (Python preferred)
• Proven experience building production AI systems, particularly modern LLM applications
• Solid understanding of:
  • Prompt design and iteration
  • Embedding pipelines and vector databases
  • RAG architectures and tool‑use patterns
  • Model evaluation and monitoring
• Experience deploying AI products used by non‑technical stakeholders
• Comfortable setting technical direction while remaining a builder

Nice to have:

• Exposure to complex analytical or commercial domains
• Experience working in small, senior engineering teams
• Background in cloud‑native environments

Why Join?

• Ownership of mission‑critical AI systems
• Direct visibility of impact, your work will be used day‑to‑day
• Modern AI stack with freedom to make technical decisions
• Long‑term scope to shape and grow the AI engineering function

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Data Engineer

up to £90,000 + Benefits
Manchester (Hybrid)
This is a great opportunity to join a high‑growth adtech scale‑up where you can take ownership of large‑scale data infrastructure that directly powers machine learning, product intelligence, and customer ROI.

THE COMPANY

This is a UK‑based adtech SaaS platform that using machine learning and real‑time behavioural analytics to help brands optimise performance.

THE ROLE

Key responsibilities include:

• Designing, building, and maintaining batch and streaming data ingestion pipelines for high‑volume event data
• Improving and optimising the AWS Redshift data warehouse, including modelling, performance, and cost efficiency
• Refactoring poorly structured data into clean, well‑governed, ML‑friendly datasets
• Building pipelines to support ML workflows, feature stores, A/B testing, and experimentation
• Ingesting and integrating new and under‑utilised data sources
• Working on greenfield projects while scaling existing data infrastructure to billions of data points

YOUR SKILLS AND EXPERIENCE

You will bring strong capability in:

• Python and SQL
• AWS data infrastructure (S3, Redshift, Glue, Athena, Kinesis, Lambda)
• End‑to‑end ownership, from proof‑of‑concept through to production

THE BENEFITS

You will receive a salary of up to £90,000 depending on experience, along with a comprehensive 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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Senior Data Engineer

£70,000-£90,000

London (Hybrid)

This is an exciting opportunity to join a growing tech scale‑up where data is at the heart of their product. You will play a key role in shaping their data infrastructure, enabling large‑scale machine learning and real‑time analytics that directly impact their customers.

THE COMPANY

They are a high‑growth SaaS organisation operating in the digital advertising space. Their platform helps customers optimise performance through advanced analytics, real‑time behavioural insights and machine learning. With a collaborative engineering culture and strong investment backing, they are building scalable data systems to support rapid product expansion.

THE ROLE

As a Data Engineer you will take ownership of the company’s core data pipelines, transforming large‑scale event data into reliable, ML‑ready datasets that power real‑time decisioning and analytics across the business.

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

• Design and manage data ingestion pipelines that feed into their cloud data warehouse.
• Build and maintain pipelines that prepare data for machine learning and analytics use cases.
• Restructure/improve existing datasets to ensure they are reliable, performant and ML‑ready.
• Work closely with Data Science and Platform Engineering to productionise models and improve data foundations.
• Proven ability to work with high‑volume event data at scale.

SKILLS AND EXPERIENCE

The successful Data Engineer will have the following skills and experience:

• Strong commercial experience in Python, SQL and cloud‑based data engineering.
• Hands‑on experience with AWS services such as Redshift, Athena, S3, Glue and ideally Kinesis.
• Understanding of streaming data, system performance and cost‑efficient architecture.
• A proactive mindset with the confidence to identify and solve problems independently.

BENEFITS

The successful Data Engineer will receive the following benefits:

• Salary between £70,000 – £90,000 – depending on experience.
• Competitive benefits.

HOW TO APPLY

Please register your interest by sending your resume to Majid Latif via the Apply link on this page.

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Senior AI/ML Engineer – Foundation Models & Agentic AI
Life Sciences AI | Biotech / Therapeutics / Computational Biology

What You’ll Work On

• Develop and train proprietary foundation models on multi-omics data (genomics, transcriptomics, proteomics, metabolomics)
• Design novel algorithms to integrate and differentiate across omics modalities
• Own the full training pipeline: data ingestion, tokenization, pretraining, and evaluation
• Push the state of the art – we are building models that do not exist yet

Agentic AI for Life Sciences

• Build and deploy AI agents that assist researchers across therapeutic development, computational chemistry, and biology
• Design multi-agent architectures using LangChain, LangGraph, and custom orchestration layers
• Integrate agents with internal databases, experimental systems, and third-party scientific tools
• Develop agentic workflows for use cases in cosmetics R&D, drug discovery, and clinical analysis

Production ML Infrastructure

• Own model deployment, scaling, and serving infrastructure
• Optimize inference using NVIDIA TensorRT-LLM, Dynamo, Triton, and related tooling
• Partner with software engineering on integration into our broader platform
• Maintain reliability, performance, and observability across deployed models

What We’re Looking For

Required

• Strong hands-on ML/AI engineering experience – you write real code, not just direct others
• Deep proficiency in Python and PyTorch – this is non-negotiable
• Experience training, fine-tuning, and deploying foundation models from scratch or from pretrained checkpoints
• Familiarity with the Hugging Face ecosystem (Transformers, Datasets, PEFT, Accelerate)
• Experience with LangChain and/or LangGraph for agentic pipeline development
• Working knowledge of the NVIDIA stack: TensorRT-LLM, Triton Inference Server, Dynamo
• Comfort with large-scale distributed training tools: DeepSpeed, xFormers
• Strong understanding of state-of-the-art model architectures (transformers, SSMs, diffusion, etc.)
• Ability to collaborate across technical and non-technical teams – bio, chem, software, clinical
• Excellent communication skills – you can explain a training run to a chemist

Strongly Preferred

• Experience with omics data (any modality: genomic, proteomic, transcriptomic, metabolomic)
• Background in computational biology, computational chemistry, or bioinformatics
• Prior work in biotech, pharma, or life sciences AI (not required but a plus)
• Experience building or contributing to multi-agent systems in a production environment
• Track record of independent research or open-source contributions in ML

Technical Skills Summary

Core ML / Training

• PyTorch – primary framework
• DeepSpeed – distributed training and ZeRO optimization
• xFormers – memory-efficient attention and transformer components
• Hugging Face Transformers, PEFT, Accelerate
• Training and fine-tuning large language and multimodal models

Inference & Deployment

• NVIDIA TensorRT-LLM – high-performance LLM inference
• NVIDIA Dynamo – inference orchestration and scheduling
• Triton Inference Server – model serving and batching
• Model quantization, distillation, and latency optimization

Agentic & Orchestration

• LangChain / LangGraph – agent design and multi-agent orchestration
• Tool-use, RAG pipelines, and memory systems
• API and system integration across scientific data sources

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