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DATA SCIENTIST- FINTECH
LONDON
UP TO £65,000

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

THE ROLE

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

Key Responsibilities:

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

REQUIREMENTS

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

HOW TO APPLY

Please apply below or send CV

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Data Scientist – Product & Analytics
Hybrid (US-based)
Salary up to $140,000 base + benefits

Are you a Data Scientist who wants their work to genuinely matter?

We’re partnering with a fast-growing, global SaaS business whose products are used by thousands of organisations to improve real-world outcomes at scale. This is a chance to join a highly collaborative Analytics & Insights function where data science directly shapes products, strategy, and decision-making.

In this role, you’ll work end-to-end – from building robust data pipelines through to deploying predictive models that drive measurable impact. You’ll collaborate closely with Product, Engineering, and domain experts, translating complex problems into scalable, data-driven solutions.

What you’ll be doing

• Building and deploying statistical and machine learning models to support forecasting, prediction, and optimisation

• Designing scalable data pipelines using modern tooling to turn complex data into actionable insights

• Running experiments and hypothesis testing to measure product impact and improve outcomes

• Partnering cross-functionally to solve high-value business and customer problems

• Ensuring data quality, reliability, and performance through monitoring and validation

What we’re looking for

• Commercial experience in Data Science or Applied Analytics (SaaS experience a plus)

• Strong foundations in statistics and machine learning

• Hands-on experience with Python and SQL

• Exposure to cloud or distributed data environments (AWS, GCP, Azure, Spark, etc.)

• Someone who enjoys working across teams and seeing their work used in production

Why apply?

• Hybrid working with flexibility

• Salary up to $140,000 base plus a strong benefits package

• Work on meaningful, real-world problems at scale

• High visibility role with genuine influence over product and strategy

• Collaborative, mission-driven culture with strong technical peers

If you’re looking for a role where your models don’t sit on a shelf – this is worth a conversation.

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Job Title: Client-Facing Data Scientist (Marketing & Market Mix Modelling)

Location: Netherlands / Belgium / Hybrid
Language Requirement: Fluent Dutch & English

About the Role

The company is seeking a Dutch-speaking, client-facing Data Scientist to join its growing analytics team. This role focuses on delivering data-driven insights for commercial and marketing stakeholders, with a strong emphasis on marketing analytics and Market Mix Modelling (MMM).

The successful candidate will act as a trusted advisor to clients, translating complex analytical outputs into clear, actionable recommendations that inform marketing strategy, budget allocation, and overall business performance.

Key Responsibilities

• Develop, maintain, and improve Market Mix Models to measure marketing effectiveness across channels

• Work directly with clients to understand business challenges and define analytical approaches

• Translate model results into clear insights and recommendations for non-technical stakeholders

• Present findings to marketing teams, commercial leaders, and senior stakeholders

• Analyse marketing data including media spend, sales, pricing, promotions, and external factors

• Collaborate with internal data science, engineering, and consulting teams

• Support scenario planning, forecasting, and optimisation of marketing budgets

Required Skills & Experience

• Strong academic or professional background in data science, statistics, econometrics, or a related field

• Proven experience in Market Mix Modelling or advanced marketing analytics

• Proficiency in Python and/or R (SQL experience is an advantage)

• Solid understanding of marketing channels (digital and offline)

• Ability to communicate complex analytical concepts clearly and confidently

• Fluent Dutch, both written and spoken, with professional-level English

• Experience in a client-facing or stakeholder-facing role

Nice to Have

• Experience in consulting, analytics advisory, or agency environments

• Knowledge of causal inference, time-series modelling, or Bayesian approaches

• Experience with data visualisation tools such as Tableau or Power BI

• Experience working with large and complex marketing datasets

What the Company Offers

• Exposure to high-impact marketing and commercial projects

• Regular interaction with senior client stakeholders

• A collaborative, analytics-led working environment

• Competitive salary and benefits

• Flexible and hybrid working arrangements

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Senior Full Stack / Front-End Engineer (TypeScript, AI Agents)

Location: Remote / Hybrid

Type: Full-time

Level: Senior

The Role

The company is seeking a Senior Full Stack / Front-End Engineer to help build intelligent, AI-powered products. The engineer will focus on delivering high-quality user interfaces while working across the stack to integrate AI agents and LLM-driven systems. This role suits someone who values frontend craftsmanship, system thinking, and product ownership.

Responsibilities

• Design, build, and maintain scalable front-end applications using TypeScript
• Develop full-stack features that integrate AI agents, LLM APIs, and external services
• Collaborate closely with product, design, and AI teams to translate complex AI behaviour into intuitive user experiences
• Implement robust application architecture, state management, and data flows
• Ensure performance, accessibility, and maintainability across the codebase
• Participate in technical decision-making and contribute to engineering best practices
• Mentor and support other engineers as the team grows

Requirements

• 5+ years of experience as a Full Stack or Front-End Engineer
• Strong proficiency in TypeScript and modern JavaScript
• Extensive experience with frameworks such as React, Next.js, or similar
• Backend experience using Node.js, Python, or equivalent
• Experience integrating REST and/or GraphQL APIs
• Strong understanding of frontend architecture, performance, and UX principles
• Ability to work effectively in fast-paced, ambiguous environments

Desirable Experience

• Hands-on experience with AI agents, LLMs, or prompt-based systems
• Familiarity with streaming responses, tool calling, or multi-step agent workflows
• Experience working with real-time or event-driven systems
• Exposure to design systems, accessibility standards, or data-heavy interfaces
• Previous experience in startup or high-ownership teams

What the Company Offers

• The opportunity to work on products at the forefront of AI and user experience
• High-impact role with ownership over core features and technical direction
• Collaborative, low-ego engineering culture
• Competitive salary and equity package
• Flexible working arrangements

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RGM / RTM Analyst

Amsterdam

Overview

A global FMCG organisation is investing heavily in data-driven commercial decision-making and is delivering a greenfield Commercial Data Lake programme to support key Route-to-Market (RTM), Business Performance Management (BPM), and Revenue Growth Management (RGM) initiatives.

This role sits within the global Commercial Data Lake function and works closely with senior commercial stakeholders, IT, BI teams, and external partners.

The Role

The RGM / RTM Analyst will play a key role in translating commercial requirements into high-quality analytics and reporting solutions. With an initial regional focus on South America, the role will support global initiatives and contribute to the development of advanced analytics and AI-driven use cases.

Key Responsibilities

• Gather and refine reporting requirements from global commercial stakeholders
• Translate business needs into clear technical specifications
• Design, build, and maintain Power BI dashboards, templates, and reports
• Support data discovery, feasibility analysis, and gap assessments
• Enable RTM, BPM, and RGM analytics to drive commercial performance
• Contribute to advanced analytics and AI use cases, including predictive modelling

Technology Environment

• Power BI as the core analytics and reporting platform
• Data pipelines owned and managed by engineering teams
• Exposure to SQL and Databricks is preferred

Candidate Profile

Essential Requirements

• Proven FMCG experience is mandatory
• Strong hands-on Power BI experience (Tableau also considered)
• Demonstrated understanding of Route-to-Market analytics
• Experience working closely with commercial stakeholders and technical teams, including engineers and product owners

Desirable Experience

• Exposure to e-commerce analytics
• SQL and Databricks experience
• Deeper knowledge of Revenue Growth Management principles

Personal Attributes

• Highly detail-oriented with a strong focus on quality
• Clear, confident communicator
• Ambitious, proactive, and comfortable working with pace and urgency
• Open to learning and confident in constructively challenging ideas

Why Apply

• Opportunity to work on a greenfield, global commercial data programme
• High visibility with senior commercial stakeholders
• Chance to influence how commercial analytics is delivered at scale

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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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Contract Opportunity: Data Scientist / Data Engineer (Python, Databricks, Document Parsing & Web Scraping)

A leading organisation is seeking an experienced Data Scientist / Data Engineer to join their team on a contract basis. The successful candidate will be responsible for developing and optimising data workflows in a Databricks environment, with a strong focus on Python scripting, document parsing, and web scraping.

Key Responsibilities

• Design, build, and maintain efficient Python scripts for data extraction, transformation, and analysis.
• Develop and manage scalable data pipelines within a Databricks environment.
• Implement solutions for automated document parsing (structured and unstructured data).
• Design and deploy robust web scraping workflows to capture external data sources.
• Collaborate with internal stakeholders to translate business requirements into data-driven solutions.
• Ensure best practices in data quality, integrity, and compliance throughout all workflows.

Key Skills & Experience

• Proven expertise in Python programming for data engineering tasks.
• Hands-on experience with Databricks (or similar Spark-based platforms).
• Strong knowledge of document parsing libraries and approaches (e.g. PDF/text extraction, NLP preprocessing).
• Experience developing scalable and ethical web scraping solutions.
• Familiarity with data governance, compliance, and secure handling of sensitive data.
• Strong problem-solving skills and ability to work independently in a contract/consulting capacity.

Contract Details

• Contract role (initial [insert duration, e.g., 6 months])
• Location: Amsterdam
• Competitive day rate (depending on experience)

This is an excellent opportunity for a skilled Data Scientist / Data Engineer who thrives in a contract environment and enjoys working on complex data extraction and processing challenges.

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Data Scientist (LLM)

Location: Chicago

Salary: Up to $134,000 + Benefits

An exciting opportunity has arisen for a Data Scientist to join a global SaaS organization that is transforming decision-making across a critical sector. With thousands of clients worldwide, this company is dedicated to delivering innovative solutions that drive measurable impact and operational efficiency.

The Role

The successful candidate will join a high-performing Analytics & Insights team, responsible for building predictive models and intelligent data pipelines that enable data-driven strategies. This position plays a key role in shaping product development and improving customer outcomes.

Key Responsibilities:

• Develop advanced statistical models and machine learning algorithms for predictive analytics and forecasting.
• Extract, clean, and transform complex datasets using SQL, Python, and modern ETL frameworks.
• Design and implement experiments to validate product impact and optimize outcomes.
• Collaborate with engineers, product managers, and domain experts to translate business challenges into data solutions.
• Implement monitoring and validation tools to ensure data quality and reliability.

What They’re Looking For

• Mid-level experience in data science or machine learning, ideally within SaaS or a data-driven industry.
• Proven track record of building and deploying end-to-end data solutions.
• Strong knowledge of statistical analysis, regression, time-series forecasting, clustering, and experimental design.
• Hands-on experience with SQL, Python (or R), and distributed data technologies (e.g., Spark, Hadoop, Kafka, or cloud platforms like AWS/GCP/Azure).
• Ability to troubleshoot and maintain scalable data workflows.
• A collaborative mindset and passion for using data to drive impact.

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LEAD & SENIOR AI ENGINEER

Travel Required

We are seeking a number of Data Scientists to apply AI, data science, and advanced analytics to tackle complex real-world problems, owning end-to-end solutions from concept to embedded delivery-working in agile, multi-disciplinary teams to create lasting impact.

What you’ll do:

• Identify and deliver high-impact AI, analytics, and digital solutions from concept to operation.
• Lead end-to-end design and delivery of digital and machine learning products.
• Inspire multi-disciplinary teams across technology, process, and people.
• Set technical best practice and translate complex ideas for non-technical audiences.
• Stay current with emerging technologies and apply them pragmatically.
• Mentor colleagues and work closely with clients to embed lasting change.

Skills:

• Deep expertise in AI, data science, advanced analytics, or digital engineering.
• Proven experience delivering production-ready digital or ML solutions.
• Strong capability with modern languages, data platforms, and cloud tools.
• Ability to integrate technology into real-world business processes.
• Confident leader and collaborator with excellent communication skills.
• Client-focused, analytical, and adaptable, with a strong learning mindset.

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