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eFX Software Engineer
London – Remote first (onsite twice per month)
£160,000 + bonus + 10% pension + 10% benefit funding + 30 days holiday

A leading financial institution is hiring an eFX Software Engineer to build and optimise high-performance trading systems within a low-latency e-trading environment. You’ll work as a senior technical contributor within the eFX engineering group, driving architectural decisions, evolving Java performance patterns, and shaping platform strategy at scale.

This role offers significant technical scope, direct impact, and the opportunity to influence system performance, design, and future direction across the e-trading stack.

The role

You will:

• Design and engineer fault-tolerant, high-performance Java systems
• Develop architectures achieving <40µs one-way latency
• Shape and evolve low-latency coding patterns (lock-free + low-GC)
• Solve complex trading and platform engineering challenges
• Contribute to platform strategy, architecture, and roadmap direction
• Collaborate across pricing, risk, connectivity, distribution, and quant teams

What we’re looking for

• Deep expertise in high-performance Java
• Strong low-latency optimisation experience (<1ms, ideally <100µs)
• Proven experience tuning hardware + JVM performance
• Lock-free programming + low-GC techniques
• Ability to design, lead, and innovate technically
• Backgrounds of interest: eFX, trading, betting, exchange, market-making

Nice to have:

• Experience with IPC, Chronicle Queue, RingBuffers
• Algo, pricing, or risk engineering exposure
• Market structure + regulatory awareness (e.g. MiFID II)

Applicants must demonstrate ownership, design decision-making, and impact in previous roles. Senior IC position – no line management.

Why join

• High-impact technical role in a global e-trading environment
• Complex performance engineering + architecture challenges
• Cutting-edge Java optimisation + latency-driven systems
• Strong technical peers across engineering + quant teams
• Remote first – onsite only twice per month

Benefits

• £160k base + bonus consideration
• 10% pension
• 10% benefit funding
• 30 days holiday
• Sponsorship available

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Job Opportunity: Principal AI Engineer | Remote or Hybrid

Location: Remote or Hybrid (HQ in [City])

Role Type: Full-Time

Seniority: Principal / Expert

Start Date: ASAP

About the Company

The company is expanding its AI capabilities to build innovative, intelligent systems that power next-generation products and experiences. With an ambitious roadmap centered on generative AI, advanced machine learning, and large-scale automation, they are seeking a highly experienced Principal AI Engineer to lead technical strategy, guide system architecture, and drive innovation across the organization.

This is a pivotal role that will shape the long-term AI direction, influence key engineering decisions, and deliver solutions that have significant impact on the company’s technical evolution.

The Role

The Principal AI Engineer will act as a hands-on technical leader, responsible for designing, developing, and scaling advanced AI systems. The role involves high-level architectural thinking, applied research, and deep technical execution, including oversight of model development, evaluation, deployment, and optimization.

The successful candidate will collaborate with engineering, data, and product stakeholders to define the AI vision while also mentoring teams and setting engineering standards that enable excellence and innovation.

Key Responsibilities

• Lead the design and development of complex AI systems, including generative AI models, LLM-powered applications, and large-scale machine learning infrastructures.
• Define and drive the company’s AI technical strategy, ensuring alignment with business goals.
• Oversee model experimentation, fine-tuning, evaluation, and deployment into production environments.
• Set best practices for ML engineering, model lifecycle management, security, and governance.
• Provide expert guidance on architecture decisions across data, ML, and application layers.
• Collaborate with cross-functional teams to identify high-impact AI opportunities and translate them into technical solutions.
• Mentor and support engineering teams, elevating technical capabilities across the organization.
• Stay ahead of industry developments, research breakthroughs, and emerging AI frameworks.

Required Experience

• 7+ years of experience in AI/ML engineering, with a strong track record of delivering production-grade AI systems.
• Deep expertise in Python and modern ML frameworks (PyTorch, TensorFlow, JAX).
• Extensive hands-on experience working with large language models, generative AI architectures, and related tooling.
• Strong knowledge of model serving, orchestration, distributed training, and scalable inference systems.
• Experience architecting and deploying AI solutions on cloud platforms (AWS/GCP/Azure).
• Proven ability to lead complex AI initiatives, influence technical direction, and guide multidisciplinary teams.
• Strong understanding of data engineering, MLOps, model governance, and ML lifecycle best practices.
• Ability to thrive in a fast-paced environment and navigate ambiguous, greenfield challenges.

What the Company Offers

• A strategic role with significant influence over the AI roadmap and technical foundations.
• Competitive salary, equity, and comprehensive benefits.
• Flexible remote or hybrid working environment.
• Opportunities to work with state-of-the-art AI technologies and contribute to groundbreaking products.
• A culture that values innovation, autonomy, and continuous learning.

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Associate Director of Marketing – North America

Permanent | Remote (East Coast preferred)
Salary: $135,000 + 20% Bonus

The Opportunity

We are partnering with a global education-focused organization to appoint an Associate Director of Marketing to lead the North American marketing agenda across the U.S. and Canada.

This is a senior, hands-on leadership role responsible for shaping strategy and driving execution across the full marketing mix, including digital, CRM, content, events, and partner-facing campaigns. Reporting into a global marketing leader, you will play a critical role in delivering measurable growth across student recruitment, partner engagement, and institutional visibility

.

Key Responsibilities

North America Marketing Leadership

• Own the regional marketing strategy, annual planning, budget management, and performance outcomes.
• Translate market insight into clear, actionable initiatives aligned to commercial goals.
• Act as the senior marketing voice for North America in cross-functional leadership forums.

End-to-End Campaign Delivery

• Lead the development, execution, and optimization of integrated campaigns across paid media, CRM, content, social, events, and partnerships.
• Continuously improve the student journey to drive engagement, conversion, and yield.
• Champion experimentation and rapid testing to accelerate performance improvements.

Partner & Agent Marketing

• Design and deliver a compelling regional partner/agent marketing strategy.
• Create toolkits, playbooks, and campaigns that strengthen engagement and market presence.
• Work closely with recruitment stakeholders to align messaging and priorities.

Product & Go-To-Market Marketing

• Oversee regional product marketing, including value propositions, proof points, and launch strategies.
• Lead go-to-market activity for new programs, partnerships, and offerings.
• Embed customer insight, data, and competitive analysis into all messaging.

Team Leadership & Capability Building

• Lead, coach, and develop a high-performing regional marketing team.
• Encourage growth in analytics, agile delivery, and GenAI-enabled marketing workflows.
• Foster a culture of accountability, curiosity, and innovation.

Brand & Localization

• Balance global brand consistency with effective regional localization.
• Oversee content creation tailored to international audiences, with a strong focus on outcomes and storytelling.

Performance & Commercial Alignment

• Own reporting across ROI, funnel performance, lead quality, and conversion metrics.
• Use insight to recommend strategic and tactical changes that support revenue and enrollment targets.
• Align marketing activity closely with regional commercial forecasts.

Required Experience

• Proven experience leading regional or multi-market marketing strategy and execution.
• Strong background delivering end-to-end campaigns across digital, CRM, and offline channels.
• Highly analytical, with experience using data, experimentation, and dashboards to drive decisions.
• Experience within higher education, international education, or a comparable complex B2C/B2B environment.
• Demonstrated people leadership and cross-functional stakeholder management skills.
• Strong storytelling and value proposition development capability.

Desirable

• Experience with partner, agent, or B2B marketing models.
• Familiarity with marketing automation and GenAI-enabled content workflows.
• Comfortable operating in evolving, matrixed organizations.

.

Working Environment

This is a remote-first role (East Coast preferred) within a globally distributed organization. You’ll collaborate with international teams across multiple regions and cultures, working closely with commercial and recruitment stakeholders to drive impact in a mission-led environment.

Interested?

This is a confidential search managed by Harnham. If you’d like to explore the opportunity, apply below or reach out directly for a discreet conversation.

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Senior Machine Learning Engineer – MLOps

Series A Adtech

REMOTE

$190,000-210,000 base salary + equity

THE COMPANY

Harnham is partnering with a unicorn AI adtech that builds AI platforms which enhance performance by delivering real-time relevance at critical points in the customer journey. Using intelligent systems and a global digital commerce framework, the platform powers high-volume interactions between millions of users and major brands. Following a significant valuation increase in early 2025, they are expanding rapidly across international markets, particularly in AI. The AI engineering team builds scalable, data-driven solutions that personalize user experiences and equip marketers with actionable insights, all while working with large-scale infrastructure and diverse technologies.

THE ROLE

• You will be responsible for machine learning model deployment and scalability for the company’s AI platform
• You will report directly to senior leadership and work closely on technical direction
• Own AI infrastructure and quickly build into production, particularly focusing on novel AI and LLM applications
• You will implement and design code and build out to production using various machine learning and LLM techniques, owning machine learning workflow operations and distributed systems
• Own CI/CD pipelines for MLOps / LLMOps
• 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

YOUR SKILLS AND EXPERIENCE

The successful Senior Machine Learning Engineer – MLOps will likely have the following skills and experience:

• 5+ years of commercial experience preferred with a focus on deploying and scaling machine learning and LLM models
• Experience working in a scaling startup is highly preferred (having seen multiple funding rounds ideally)
• 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
• Fluency with low-latency distributed systems is preferred
• Cloud experience in AWS, Azure or GCP
• DevOps experience with CI/CD pipelines required; Databricks and GitHub Actions preferred
• History of working on models from concept to production / end-to-end / 0-1
• Experience in settings wearing multiple hats
• Domain experience in adtech or similar a plus
• History of partnering with non-technical stakeholders required
• Experience owning projects directly preferred
• BS or MS degree in Computer Science, Statistics, Applied Mathematics, Computer Engineering or similar

THE BENEFITS

A competitive base salary of $190,000-210,000 + 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 | MLOps | LLMOps | Adtech | Advertising | Unicorn | Startup | Deployment | Production | LLMs | LLM | Large Language Models | GenAI | Gen AI | Generative AI | Distributed Systems | Low Latency | Real-time | Scale | Scalability | Infrastructure | Architecture | CI/CD | Continuous Integration | Continuous Deployment | Real Time Bidding | Auction | Recommendation Engine | Recommender System | Personalization | Bespoke | Target Audience

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Marketing Analyst
Liverpool (Hybrid, 2 Days/Week)
Up to £45,000

I’m working with a leading data-driven marketing agency in Liverpool who are looking for a Marketing Analyst to join their team two days per week (Monday & Tuesday). This is a fantastic opportunity to work at the intersection of marketing, data, and analytics, helping clients make insight-led decisions that drive performance.

You’ll be part of a small but growing multidisciplinary data team, alongside a Data Analyst, Data Scientist, and Data Engineer, reporting directly to a senior marketing lead.

Key Responsibilities:

• Analyse paid advertising performance and provide actionable insights
• Support personalisation initiatives across campaigns
• Build and analyse microsites targeted at specific audiences
• Conduct channel analysis to optimise marketing spend and performance
• Measure campaign effectiveness and identify what resonates best with different audiences
• Present findings clearly to both technical and non-technical stakeholders

Skills & Experience Required:

• Strong experience with SQL and Power BI (flexible on other visualisation tools)
• Comfortable working with marketing data across email, social, and paid campaigns
• Ability to translate complex data into clear commercial insights
• Collaborative team player with strong analytical and problem-solving skills

This role is perfect for someone looking to combine creativity, analysis, and real commercial impact while growing their career in marketing analytics.

Please note we cannot offer sponsorship for this role.

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HEAD OF/DIRECTOR OF CREDIT RISK

£100,000 – £160,000 DEPENDING ON EXPERIENCE

LONDON

THE COMPANY

This role is with an exciting business in the consumer lending space. They have grown significantly over the past few years and are well established and set for the future. This role offers the opportunity to lead the ECM team to really build out this function and define the future growth of the business.

THE ROLE

• Developing and building out their existing customer strategy and wider function
• Assessing existing lending policies and customer strategies to enhance performance
• Work and communicate closely with senior members and other teams within the business whilst leading a small Credit Risk team
• Working closely with stakeholders and C-suite to drive the future direction of the business

YOUR SKILLS AND EXPERIENCE

• Experience working with Credit Cards is essential
• Prior experience leading Existing Customer Strategy (working with things like credit limit increase/decreases, repricing, cross-sell etc)
• Experience working with SQL
• Prior experience in managing a team

SALARY AND BENEFITS

• Up to £100-160,000 base salary depending on level
• Competitive bonus scheme
• Contributory pension scheme
• Flexible holiday scheme
• Hybrid work model

HOW TO APPLY

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

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PRODUCT DATA SCIENTIST
Up to £85,000 | London or Leicestershire | Hybrid (2 days/week in office)

THE COMPANY

discount platform serving 4M+ members across the UK with access to 15,000+ partner discounts. £72M revenue, £375M member savings, expanding globally.

250+ employees with leadership from top consumer tech companies (Depop, Skyscanner, Monzo, Just Eat). Mission-driven culture rewarding key workers. Data-driven decision making at the core.

THE ROLE

Join the Data team as a Product Data Scientist working with Product and Business stakeholders to drive strategy through insight. Similar to Monzo’s Product Data Science model – embedded within product teams, solving problems, informing decisions, guiding strategy.

Reports to Director of Data, works alongside Product Data Analyst, Analytics Engineers, and Data Scientists.

What you’ll do:

• Use quantitative analysis and data storytelling to uncover user behaviour and inform product strategy
• Design and support experiments, generate hypotheses, foster continuous learning
• Define and align key metrics with stakeholders, ensure data accuracy across teams
• Build self-serve dashboards and data tools for quick access to core insights
• Conduct deep-dive analyses supporting strategic initiatives with clear recommendations
• Maintain central Insights Hub with documented reports and metric definitions
• Collaborate cross-functionally to close data gaps and foster strong relationships
• Champion unified data approach and stay current on analytics best practices
• Own problem spaces end-to-end, not just analysis – deliver outcomes

Greenfield opportunity with full ownership, autonomy to identify right questions, design experiments, and drive revenue-impacting decisions.

TECH STACK

Database: SQL (essential – must be strong)
Transformation: dbt (comfortable using, not expert-level required)
Languages: Python (for exploratory analysis, notebooks)
BI Tools: Lightdash / Looker
Version Control: Git
Analytics: GA, product analytics tools, web tracking
Some exposure to basic ML elements (exploratory modelling)

WHAT YOU NEED

• Essential:
• Extensive experience working with data in an analytical fashion in a digitally native tech environment
• Consumer tech or product experience is a must – worked with product teams and business stakeholders
• Strong SQL skills – work independently creating complex queries
• Hands-on Python (or R) experience for exploratory analysis
• Experience with dbt, Lightdash, Looker, or Tableau
• Product analytics background – experimentation, A/B testing, user behaviour analysis
• Statistical rigor – appropriately skeptical, understand how to design experiments that isolate real effects
• Strong data storytelling and presentation skills – ability to present convincing, data-led arguments to stakeholders at all levels
• Ability to translate business problems into analytical tasks and communicate insights effectively
• Product-minded approach – care about the “why” behind analyses, can push back constructively
• Self-starter with strong curiosity to understand user behaviour
• Detail-oriented problem solver who can balance rigor with speed
• Team player who is both highly collaborative and individually capable
• Ability to manage your own development and identify opportunities for improvement
• Can deliver and execute, not just analyze – pragmatic problem-solver

Nice to have:

• Experience in membership, subscription, or marketplace businesses
• Exposure to fintech or consumer tech scale-ups
• Background in companies like Monzo, Revolut, Deliveroo, Gousto, or similar product-led consumer tech
• Familiarity with modern data stack tools
• Understanding of affiliate networks or commission tracking

WHAT’S ON OFFER

• Salary: Up to £85,000
• Location: London (Holborn) or Leicestershire – hybrid 2 days/week. London-based: travel to Leicestershire once/month
• Impact: Greenfield opportunity – shape data function, build from ground up
• Strategic: Drive strategy and product decisions, not just reporting
• Mission-Driven: Tech for good – support key workers
• Holiday: 25 days + birthday off + buy/sell scheme (up to 5 days)
• Bonus: Company bonus scheme
• Health: BUPA medical insurance (covers pre-existing conditions) + healthcare cashback
• Benefits: Membership with 15,000+ discounts, pension, enhanced parental leave, EAP
• Perks: Free parking & EV charging at HQ, onsite gym, modern offices, social events, strong L&D culture

INTERVIEW PROCESS

1. 45 minute Teams with Director of Data – work experience, current situation, more about the role
2. 1 hour Teams with Director of Data + Data Team member – case study presented during interview (two prompts on experimentation, product thinking, structured problem solving)
3. 1 hour in-person meeting with 10 minute presentation on past experience
4. Potential short Teams with CPO (TBC)

Timeline: 3-4 weeks

HOW TO APPLY

Send your CV to Mohammed Buhariwala at Harnham.

Keywords: Product Data Scientist, Product Analyst, Product Analytics, Data Scientist, SQL, Python, dbt, Looker, Experimentation, A/B Testing, Consumer Tech, Fintech, SaaS, London, Hybrid

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DATA ANALYST – MARKETING ANALYTICS
Up to £45,000 | Liverpool City Centre | Hybrid (2 days/week in office – Monday & Tuesday)

THE COMPANY

Data-driven marketing agency working with clients to connect consumers with the right products. The company collects rich data across the entire consumer journey – from initial ad exposure through website browsing behavior to final conversion actions – and uses data analysis to drive every business decision. Small, focused data team investing in modern data infrastructure and analytics capabilities.

THE ROLE

Join a data team of 4 professionals (2 Data Scientists, 1 Data Engineer, and yourself as the Data Analyst) working collaboratively to transform raw marketing data into actionable insights that directly drive revenue and business strategy.

Your work will answer strategic questions like: Why do certain customer segments convert better than others? How can we optimize underperforming marketing channels? Which campaigns drive the highest quality leads? How do consumers interact with content across different touchpoints?

What you’ll do:

• Analyze marketing campaign performance across multiple channels
• Build web traffic and user behavior analysis to understand content engagement
• Design and analyze A/B tests to optimize conversion rates
• Conduct channel analysis to identify best-performing marketing channels
• Build Power BI reports and dashboards that deliver continuous insight to stakeholders
• Work with SQL daily to extract, transform, and model data
• Create semantic models in BI tools to power strategic reporting
• Collaborate with Data Scientists and Engineers to ensure data infrastructure serves business needs
• Translate business questions into analytical frameworks
• Take full ownership of getting analysis into production

This isn’t a dashboard factory role – you’ll have autonomy to identify the right questions, design rigorous experiments, and see your insights translate into real business decisions.

TECH STACK

Database: Snowflake
BI Tool: Power BI (primary)
Transformation: dbt
Orchestration: Airflow
Languages: SQL (essential)

As you evolve in the role, you’ll have opportunity to suggest new tools to increase productivity and results.

WHAT YOU NEED

Essential:

• 2-4 years working with data end-to-end (ideally 3-4 years)
• Strong SQL skills – work independently creating queries to power semantic models
• Hands-on Power BI (or Tableau/Looker) experience creating visuals and reports
• Marketing or customer analytics background – analyzing campaign performance, web traffic, customer behavior
• Statistical rigor – appropriately skeptical of patterns, understand how to design experiments that isolate real effects
• Product-minded approach – care about the “why” behind analyses
• Clear communication skills – explain complex concepts to non-technical stakeholders
• Ability to balance rigor with speed – know when analysis is good enough to solve the problem
• Must be located within 1-hour commute of Liverpool city centre (non-negotiable due to regular in-office collaboration)

Nice to have:
Degree in a scientific discipline (Biology, Physics, Statistics, Computer Science, etc.)
Experience analyzing and optimizing marketing campaign performance
Retail, ecommerce, or digital agency background
Familiarity with dbt, Snowflake, or modern data stack tools
Experience with A/B testing and experimentation
Channel analysis and attribution modeling experience

WHAT’S ON OFFER

• Salary: Up to £45,000
• Location: Liverpool city centre (Moorfields) – stylish office overlooking Liver Building and docks
• Working Pattern: Hybrid – 2 days per week in office (Monday & Tuesday)
• Team: Small focused data team of 4 (2 Data Scientists, 1 Data Engineer, 1 Data Analyst)
• Impact: High-impact analysis that directly drives revenue, not endless reporting tickets
• Autonomy: Identify the right questions, design experiments, see your insights drive real business decisions
• Holiday: 22 days + bank holidays (increasing by 1 day per year to 25 days)
• Health: Private health insurance (Vitality, after probation)
• Pension: Company pension scheme
• Perks: Charity sports events, modern city centre workspace

INTERVIEW PROCESS

1. Initial screening with hiring manager (60 minutes)
2. Technical discussion – SQL and analytical approach
3. Final interview with data team

Timeline: 2-3 weeks

HOW TO APPLY

Send your CV to Mohammed Buhariwala at Harnham.

Keywords: Data Analyst, Marketing Analyst, Marketing Analytics, SQL, Power BI, Campaign Analysis, Web Analytics, Channel Analysis, A/B Testing, Customer Analytics, Liverpool, Hybrid, Snowflake, dbt

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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

To Apply for this Job Click Here

Digital Product Insights Lead – Up to £80,000 + bonuses

Hybrid (3 days office-based – South East England / London area)
Full private medical | Modern data stack | AI-driven transformation

Are you an experienced insights leader who thrives at the intersection of digital analytics, data science, and commercial strategy?

Our client – a leading UK brand undergoing a major AI and digital transformation – is seeking a Digital Product Insights Lead to drive data-led decision-making across its digital channels, products, and customer journeys.

The Role

As the Digital Product Insights Lead, you’ll head up a small, talented team of analysts to deliver predictive and prescriptive insights that directly shape business strategy.
You’ll focus on understanding user behaviour across web and app journeys, optimising funnels, forecasting sales, and identifying retention opportunities through data.

This is a leadership role that combines strategic direction with enough hands-on capability to guide your team technically and commercially.

What You’ll Be Doing

• Lead insight generation across digital products, channels, and journeys.

• Deliver actionable, predictive insights to influence key business decisions.

• Oversee funnel and conversion analysis, forecasting, and behavioural segmentation.

• Analyse mobile app usage and retention, driving engagement and lifetime value.

• Partner with Data Science and Engineering teams to ensure data quality and readiness.

• Coach and mentor a team of analysts, fostering curiosity and innovation.

• Act as the bridge between data and business stakeholders, translating analytics into commercial outcomes.

Tech Environment

• Tools: SQL, GA4, BigQuery

• Languages: Python, R

• Environment: Modern data infrastructure with dedicated tagging and engineering support.

• No tagging work required – focus purely on insights and impact.

About You

• 5+ years’ experience in analytics, insights, or data science roles.

• Strong background in digital analytics, predictive modelling, or behavioural insights.

• Proven ability to translate data outputs into business actions.

• Experienced people leader with a track record of motivating high-performing teams.

• Energetic, proactive communicator who can engage technical and non-technical audiences alike.

• Passionate about leveraging AI and data to transform digital experiences.

Why Apply?

• Be at the forefront of an organisation investing heavily in AI and data innovation.

• Work within a modern analytics function with strong leadership and vision.

• Enjoy a financially secure, growing business with significant data investment.

• Play a pivotal role in shaping the next phase of digital and AI-driven insights.

Timeline: Interviews underway – target hire by end of January.

Package: £80,000 + up to 20% bonus + car allowance + full private medical.

If you’re ready to lead a team that turns digital data into real commercial impact, apply today!

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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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