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HEAD OF DATA – SCALE UP
PARIS (75)
70+80K EUR + avantages

PYTHON – DATABRICKS – AZURE – POWER BI

Cette société souhaite fusionner les pôles Data Engineering et Data Science/Analytics pour créer une équipe unifiée sous la responsabilité d’un Head of Data. Objectif : structurer, scaler et industrialiser l’ensemble des projets data tout en gardant un fort niveau d’innovation produit.

VOTRE RÔLE

• Structurer l’équipe data existante (2 Data Engineers & 2 Data Scientists)
• Recruter & onboarder de nouveaux profils (notamment un futur Data Scientist)
• Porter une vision analytique, technique et business au sein de l’entreprise
• Challenger les choix techniques & méthodologiques de l’équipe
• Être force de proposition pour faire évoluer les produits et KPIs grâce à la donnée
• Participer activement à la mise en place et l’automatisation des pipelines de données
• Industrialiser les dashboards Power BI
• Contribuer à la modélisation de modèles de Machine Learning
• Générer des insights pertinents à partir des données business
• Travailler avec les équipes produits, techniques et clients pour valoriser la data
• Garantir la qualité, la fiabilité et la scalabilité de l’infrastructure data

VOTRE PROFIL

• +5 ans d’expérience minimum (hors stage/alternance)
• Déjà managé une équipe d’au moins 3 personnes
• Esprit analytique fort, capable de prise de recul stratégique
• Background académique solide : maths, stats ou ingénierie
• À l’aise pour parler avec des clients et équipes transverses
• Maturité, capacité à challenger l’existant et à proposer des solutions scalables
• Bonne compréhension des enjeux business liés à la donnée
• Maîtrise de Power BI, automatisation de pipelines, modélisation ML
• Curieux.se, structuré.e, bon communicant

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Group Head of Data Science

Up to £200,000

London (Hybrid + occasional travel to Europe)

Company:

A leading international lottery and gaming group operating across Europe. They combine local expertise with global scale to deliver fun, responsible, and innovative gaming while generating meaningful impact for the communities we serve. They’re now building a centralised data function to unify and scale data efforts across their group of businesses, using technology to drive transparency, efficiency, and growth.

Responsibilities:

• Define and drive the vision for a centralised data science function across all brands and business units.
• Develop and deliver the group-wide data strategy in alignment with executive leadership
• Build out the team further over time, including hiring and capability development.
• Foster collaboration and knowledge sharing among data teams in different countries and business units
• Serve as the main point of contact for senior stakeholders across marketing, product, technology, and operations.
• Ensure high standards in project delivery, governance, and impact measurement.
• Drive adoption of modern machine learning methods and emerging technologies (including Generative AI).
• Identify opportunities to improve efficiency, customer experience, and revenue through advanced analytics.

Requirements:

• MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields.
• Solid background in Data Science (though this is not a hands-on technical role)
• Experience managing small, high-performing teams
• A confident and strategic leader
• Excellent communication and stakeholder management skills

How to Apply:

Please register your interest by sending your CV to Emily Burgess via the Apply link on this page

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Job Title: Director of Data Science – Biopharma Commercial Analytics
Location: Hybrid – San Francisco Bay Area
Salary: $250-300k base + bonus + equity

Drive the Commercial Data Science Strategy for a High-Growth Digital Health Innovator

Join a mission-driven health tech company redefining how the biopharma industry uses data to drive access, adherence, and market success. This is a unique opportunity to lead the data science function at a fast-scaling, venture-backed startup and shape the next generation of commercial analytics tools and ML-powered insights.

The Role

As Director of Data Science, you’ll lead a team of Data Scientists and Analytical Data Engineers responsible for delivering impactful analytics and machine learning solutions across the commercial lifecycle. You’ll operate as a strategic partner across Product, Customer Experience, and Go-to-Market teams, influencing everything from AI product features to patient access strategies.

Key Responsibilities:

• Build, mentor, and scale a high-performing data science team with a focus on commercialization in the biopharma space
• Lead the development of predictive models and ML algorithms to solve problems in Market Access, Patient Services, and Field Force Optimization
• Own the architecture, data models, and pipelines supporting scalable advanced analytics in a multi-tenant SaaS environment
• Partner with Product and Commercial leaders to translate client needs into intelligent analytics tools and embedded insights
• Present findings and influence decisions at the VP and executive level, internally and with client stakeholders
• Ensure code quality, security, and compliance across deployed models and analytics products
• Monitor trends in commercial analytics, generative AI, and regulatory standards to drive innovation

Your Background

Required Experience:

• 7+ years in biopharma or life sciences commercial analytics, including direct experience in Market Access, Commercial Ops, or Patient Services
• Advanced expertise in machine learning techniques (e.g., regression, classification, forecasting, NLP, A/B testing) applied to real-world commercial use cases
• Proficient in Python and SQL; experience with Snowflake, dbt, and Snowpark highly valued
• Strong understanding of data sets common to biopharma (specialty pharmacy, claims, HCP targeting, CRM, etc.)
• 3+ years managing and scaling high-impact Data Science teams in high-growth or enterprise health tech environments
• Proven record of driving measurable business outcomes through ML/AI-powered solutions
• Excellent cross-functional communication skills; ability to bridge technical depth with commercial strategy
• M.S. or Ph.D. in a quantitative discipline (e.g., Data Science, Engineering, Statistics, Computer Science)

Preferred Qualifications:

• Familiarity with HIPAA, SOC2, HITRUST, or other healthcare regulatory frameworks
• Experience working in AWS-based cloud environments
• Exposure to LLMs, agentic AI frameworks, or AI-enhanced product features
• Background in specialty data integration (e.g., hub services, reimbursement workflows)

What’s On Offer

• Executive-level role shaping the analytics vision for a fast-scaling digital health company
• Competitive compensation, performance bonus, and equity in a high-growth startup
• High-impact work that directly improves patient outcomes and access
• Collaborative and mission-driven culture at the intersection of healthcare and AI
• Opportunity to influence product strategy and drive adoption of next-generation commercial analytics tools

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Director of Data Science – Pricing, Lead Scoring & Personalization

Location: San Francisco (Remote Eligible)

Salary: $250-280k base + equity

We are looking for a Director of Data Science to lead a high-impact team focused on pricing optimization, lead scoring, and customer personalization for a rapidly growing travel platform backed by top investors. This role is ideal for a data science leader who can define strategy, develop predictive models, and drive measurable business impact through advanced analytics and machine learning.

Key Responsibilities:

• Lead and scale a high-performing team of data scientists and analysts, fostering a culture of experimentation, collaboration, and innovation.
• Develop dynamic pricing models that optimize revenue, improve conversion rates, and enhance market competitiveness.
• Enhance lead scoring and customer personalization by building predictive models that identify high-value leads, optimize sales funnels, and improve user experiences.
• Design and analyze A/B tests, causal inference models, and other experimentation techniques to measure and optimize product, marketing, and operational decisions.
• Establish frameworks for data quality, governance, and self-service analytics to ensure consistency and accessibility across the company.
• Collaborate with Product, Finance, Marketing, Sales, and Operations to define key business metrics, analyze performance, and provide strategic recommendations to executive leadership.

Qualifications:

• 10+ years of experience in data science or analytics, including at least 5 years in leadership roles.
• Expertise in predictive modeling, dynamic pricing, and lead scoring using machine learning and statistical methods.
• Strong experience with SQL, Python, R, and BI tools such as Looker, Tableau, or Sigma.
• Proven ability to translate data insights into business strategy and influence executive stakeholders.
• Deep knowledge of A/B testing, experimentation, and customer segmentation.
• Industry experience in B2B SaaS or travel is a strong plus.
• Bachelor’s degree in a technical field required; Master’s or MBA preferred.

This is an opportunity to shape the data science strategy at a fast-growing company, driving decisions that will transform pricing, customer engagement, and business growth.

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Data Science Manager (Pricing)
London
£120,000 + benefits

THE COMPANY

Harnham is partnering with an online retailer / marketplace that is looking to add a Manager to their Data Science & AI team in London.

They have 1000 staff across offices in the UK, US and Europe, with the data team being small (circa 4-5 people). Working closely with the data director, you will join to manage a small (but growing) team, remaining hands-on you will help bring a more sophisticated approach to data science and machine learning across the business.

Key projects the team are working on currently:

• Dynamic pricing algorithms for the website
• Recommender systems
• NLP and classification
• Customer and marketing behaviour (LTV and segmentation)

A big focus for the next few months will be to make their current product pricing algorithms better!

YOUR SKILLS AND EXPERIENCE

You must have:

• An MSc or Ph.D. in a STEM topic with a machine learning focus
• Experience of working with large volumes of data (preferably online data)
• Expert knowledge of Python
• Working knowledge of GCP (other cloud tools fine)
• Knowledge of pricing is required for this role
• Excellent stakeholder management skills
• Experience in leading teams of data scientists who are responsible for deploying machine learning into production.

THE BENEFITS

£110,000 – £120,000 + Benefits

HOW TO APPLY

Please register your interest by sending your CV via the Apply link on this page. For details on similar roles please contact Nick Mandella at Harnham.

KEYWORDS

Python, AWS, GCP, Azure, SQL, Pricing, Machine learning, Data Science, AI, Recommenders, Customer, Marketing, Marketplace, Online, Retail.

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HEAD OF DATA & AI
LONDON – 2/3 DAYS PER WEEK
£130,000 + BENEFITS

Are you a visionary leader in data and AI, ready to shape the future of a dynamic, cloud-native bank? Our client, a leading UK listed bank, is seeking a Head of Data & AI to spearhead their data transformation and drive innovation across the organisation.

THE COMPANY:
Our client is a rapidly growing, fully licensed UK bank, specializing in banking services for global fintechs, SME lending, and personal savings. They are at the forefront of digital transformation, blending technological innovation with a deep focus on customer satisfaction. Operating in a dual-regulated environment, they are expanding and heavily investing in data, analytics, and AI to enhance their offerings.

THE ROLE:
As Head of Data & AI, you will lead the development and execution of the bank’s enterprise data strategy across data engineering, analytics, governance, and applied AI/ML. You’ll own the roadmap for how data is collected, managed, and activated, leading and scaling a growing, multi-disciplinary team.

You will partner with leaders across product, technology, risk, and operations to embed data into decision-making and product design. This high-impact role requires a blend of technical expertise, strategic thinking, and a passion for building high-performing data teams.

Key Responsibilities:

• Strategy & Leadership: Define and lead the enterprise data strategy, championing a data-driven culture and transforming the data warehouse into an AI-driven function.
• Data Platform & Engineering: Oversee the architecture, scalability, and reliability of data infrastructure, ensuring quality and accessibility.
• AI & Advanced Analytics: Support AI model development, deployment, and monitoring, ensuring responsible AI practices.
• Governance & Compliance: Implement data governance policies and ensure compliance with regulatory requirements.

YOUR SKILLS AND EXPERIENCE:

The ideal Head of Data & AI will have:

• Significant experience in data leadership, ideally within fintech or cloud-native organisations (AWS preferred).
• Strong technical background in data engineering, analytics, or data science.
• Experience with modern data stacks (e.g., SQL, dbt, Airflow, Snowflake, Looker/Power BI) and AI/ML tooling (e.g., Python, MLflow, MLOps).
• A track record of building and managing high-performing data teams.
• Strategic thinking and ability to influence senior stakeholders, comfortable in dual-regulated environments.

HOW TO APPLY:
Please send your CV via the Apply link on this page.

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Lead Data Scientist – LLMs – Remote

In this role, you’ll lead cross-functional data science projects from concept to delivery, working on a range of challenges-from machine learning and GenAI to speech-to-text applications. You’ll play a key role in transforming complex data into clear insights that inform decisions and create measurable business outcomes.

This is a hands-on leadership position that blends technical depth, team collaboration, and strategic thinking. We’re looking for someone who can bring clarity to complexity and innovation to everyday challenges.

What You’ll Do:

• Lead and manage end-to-end data science projects, ensuring timely, high-quality delivery.
• Develop and deploy machine learning solutions using Python, including applications in natural language processing (NLP) and speech-to-text technologies.
• Translate analytical results into business-relevant insights for both technical and non-technical stakeholders.
• Mentor junior analysts and data scientists, providing technical guidance and supporting professional development.
• Collaborate closely with data engineering, product, and business teams to integrate data science solutions into core workflows.
• Contribute to business development by supporting proposals, client engagements, and solution design.
• Help shape the strategic direction of the data science function, including planning and prioritization.

What You Bring:

• Strong experience delivering full-lifecycle data science projects in production environments.
• Proficiency in Python and data science libraries, with a focus on writing clean, maintainable code.
• Hands-on expertise with speech-to-text systems, including model selection, audio data processing, transcription accuracy, and integration into business applications.
• Experience working with NLP and GenAI/LLMs, including prompt engineering, fine-tuning, and evaluation.
• Strong communication skills, with the ability to explain technical concepts to business stakeholders.
• Proven track record of managing multiple projects and leading teams in fast-paced environments.
• Experience collaborating with cross-functional teams to ensure smooth deployment of solutions.

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