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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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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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Lead Data Scientist
London
Private Equity
£140,000 – £150,000 + benefits

Harnham is working with a tech firm in the Private Equity space and hiring a few positions across Data Science, Machine Learning Engineering and Data Engineering.

The company have an impressive founding team and hold a strong reputation within the Data & AI and Private Equity space.

They partner with some leading investment firms in deploying AI and machine learning for the sole purpose of creating value. Often working in ambiguous and greenfield environments, you will collaborate with a strong team of technical people across multiple industries to solve complex commercial and data problems, delivering key data science initiatives that drive performance and revenue.

In this role you will lead the technical teams that deliver value.

The Role – Lead Data Scientist

You will be:

• Working on multiple engagements within portfolio companies across various different industry sectors
• Delivering key Data Science / AI initiatives that drive value for customers.
• Shaping how projects are delivered, driving performance and working closely with C-level execs.
• Providing technical leadership across the business, with a focus on end-to-end machine learning solutions.

Experience – Lead Data Scientist

You will have:

• An M.Sc. or Ph.D. in: Machine Learning, Statistics, Applied Mathematics, Computer Science, Engineering, etc.
• Experience using Python is a must
• Knowledge of cloud technologies important (agnostic)
• A strong knowledge of statistical/machine learning models applied to real-world problems
• A keen interest in problem-solving and using scalable machine learning to solve data-related problems is important
• A focus on using data science to create value is essential
• A strong interest in working across a variety of different industry sectors and problem areas.

BENEFITS

Up to £150,000 base salary
Competitive bonus
The opportunity to join a world-class and growing team

HOW TO APPLY

Please register your interest by sending your CV via the Apply link on this page. For further details or to enquire about other roles, please contact Nick Mandella at Harnham.

KEYWORDS

Python, SQL, AWS, GCP, Azure, Cloud, Databricks, Docker, Kubernetes, CI/CD, Terraform, Pyspark, Spark, Kafka, machine learning, statistics, Data Science, Data Scientist, Big Data, Artificial Intelligence, private equity, finance.

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Senior Data Scientist – Remote

We are working with a publishing company who have expanded into digital platforms and subscription-based businesses. They are focused on building personalised media experiences and improving user engagement across their platforms.

They are now hiring their first Data Scientist to join a team of analysts and engineers. This is a greenfield role, ideal for someone looking to make a tangible impact across a diverse set of brands, audiences, and digital products. Over time, this position will evolve into a leadership role.

What You’ll Be Doing

• Build, prototype and deploy models (with engineering support) across multiple brands.
• Drive user segmentation and clustering to improve personalisation and subscription performance.
• Collaborate with editorial and product teams to help predict content relevance using metadata tagging.
• Work on user experience optimisation, such as improving content recommendations and personalisation strategies across web, CRM and app platforms.
• Partner with the analytics and engineering teams to define data science best practices, tooling, and workflow.

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FULL STACK DATA SCIENTIST
PARIS (75)
45-60K€

Dans le cadre du développement de l’équipe Data Engineering, nous recrutons un(e) Data Engineer & Scientist Senior.

Le poste s’oriente davantage vers l’engineering, tout en conservant une dimension analytique au service des métiers (RH, marketing, satisfaction client).

VOTRE ROLE

Structurer, organiser et consolider la collecte de données existante

• Maintenir, modifier occasionnellement et faire évoluer des pipelines de données déjà en place
• Être autonome sur les sujets R&D Data, avec une forte composante scientifique (création de POC IA, analyse, modélisation, prédiction)
• Travailler en étroite collaboration avec les équipes métiers (RH, marketing, satisfaction client) pour transformer la donnée brute en insights métier
• Participer à la roadmap technique et scientifique sur 3, 6 et 12 mois, principalement autour des sujets IA et Data Engineering
• Manipuler les données via Python, SQL, PySpark, dans un environnement cloud (préférence AWS mais GCP/Azure possible)
• Construire et alimenter des dashboards avec des outils de data visualisation adaptés

VOTRE PROFIL

• 3 à 6 ans d’expérience en Data Engineering / Data Science
• Vous avez déjà travaillé dans un environnement startup ou scale-up, avec une forte autonomie et un esprit de construction
• Expérience en structuration d’un pôle data ou mise en place de pipelines from scratch appréciée
• Langages & outils : Python, Power BI ou Tableau (must have)
• Outils statistiques : SAS (must have), SPSS (nice to have)
• Cloud : AWS
• Français courant
• Diplômé(e) d’une école d’ingénieur ou grande école

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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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Data Scientist – R&D – Leeds

We’re seeking a curious and analytically driven Data Scientist to join our team and help tackle real-world challenges in areas such as demand forecasting, pricing strategy, and promotional optimisation. This role is ideal for someone with a strong background in research methods and statistics, and a passion for applying data science to complex, practical problems.

Responsibilities:

• Conduct exploratory analyses to uncover trends and patterns in data
• Design and run experiments to test hypotheses related to pricing, customer demand, and promotional effectiveness
• Evaluate and implement emerging data science techniques to improve existing approaches
• Collaborate with cross-functional teams to define research questions and align on business goals
• Develop predictive models and analytical tools
• Communicate insights through clear, reproducible research and translate technical findings for diverse audiences

What We’re Looking For:

• Solid foundation in statistics, experimental design, and research methodology
• Experience working with real-world datasets to drive actionable insights
• Proficiency in at least one analytical programming language (e.g., Python, R, or Julia)
• Ability to communicate complex ideas clearly to both technical and non-technical stakeholders
• A self-starter mindset with a collaborative and inquisitive approach
• MSc or PhD in a relevant field

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Senior Data Scientist – Manchester or London

We are working on an exciting role with a scale up SaaS company who are seeking a Senior Data Scientist in Manchester or London.

The Role
We’re seeking a skilled professional with a background in data science and machine learning to contribute to the development of systems that support critical business goals, including fraud detection. You’ll work with large datasets, help build scalable solutions, and collaborate with various teams to ensure models remain effective and reliable.

Responsibilities

• Develop and deploy ML models to detect bot and fraudulent traffic
• Lead research and prototyping of new detection methods
• Monitor model performance and address drift or false positives
• Collaborate across teams to turn insights into product features
• Ensure compliance, scalability, and reliability of ML systems

Skills Required

• Proven experience with ML in production environments
• Strong skills in Python, SQL, and AWS (SageMaker, Lambda, etc.)
• Familiarity with MLOps and real-time data applications
• A pragmatic mindset and strong problem-solving ability
• Background in adtech or fraud detection is a bonus

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Founding Data Scientist
Location: Onsite – New York City, NY
Salary: $130,000

THE COMPANY

This fast-growing InsurTech start-up is using data science and machine learning to uncover fraud in property and casualty insurance claims.

THE ROLE

As a Data Scientist, you will be at the forefront of building models and pipelines that directly stop fraudulent activity. You’ll work with complex datasets, apply advanced analytics, and partner with product and engineering teams to deliver solutions that have a real-world impact.

You will:

• Build and optimize machine learning models to detect fraudulent behavior
• Develop and maintain identity resolution and entity linking systems
• Engineer features from large, messy datasets to improve accuracy
• Work closely with engineers to deploy and monitor models in production
• Communicate insights to both technical and non-technical stakeholders
• Contribute to team culture and mentor junior team members

YOUR SKILLS & EXPERIENCE

To be successful in this role you will need:

• 2-4+ years’ experience in data science or applied machine learning
• Proficiency in Python and core data science libraries (pandas, scikit-learn, etc.)
• Experience working with real-world, unstructured datasets
• Strong understanding of statistical modeling, validation, and performance tuning
• Background in fraud detection, identity resolution, or large-scale data analysis
• Excellent communication skills and ability to work with stakeholders across the business
• Must be able to work onsite in NYC

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