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Data Scientist

Salary: £70,000
Location: UK-based

A high-growth, data-driven company is seeking a hands-on, commercially minded Data Scientist to lead the development of intelligent matching algorithms, predictive models, and advanced recommendation systems.

This is a strategic individual contributor role where you’ll own high-impact projects from design to deployment and shape the future of search technology for some of the biggest names in private equity.

Ideal Candidate

• Experience: 5+ years in data science roles, preferably in fast-moving or early-stage environments
• Languages & Tools:
• Strong Python (Pandas, NumPy, Scikit-learn, TensorFlow or PyTorch)
• Advanced SQL
• AWS
• MLOps tooling (e.g., MLflow, SageMaker, or similar)
• Bonus Points For:
• Knowledge of LLMs, RAG pipelines, prompt engineering, or agentic interfaces
• Experience with data warehouse tools (Snowflake, Redshift, BigQuery)
• Familiarity with search, matching, or recommendation systems
• Soft Skills: Independent, highly communicative, and comfortable working directly with senior leadership and commercial stakeholders

Interview Process

1. Screening conversation with hiring manager
2. Technical discussion with the VP of Engineering
3. Sign of chat with CEO

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Data Scientist – Price Optimisation

Location: Remote (UK-based, London preferred)

Salary: £60,000-£70,000 + 5-8% bonus + Equity

The Company

A global pricing and revenue optimisation leader originally focused on airline pricing, now expanding into the hotel and hospitality sector. Following the acquisition of Pace Revenue, the team in the UK forms a key part of their hotel pricing division, operating under the same Flyr brand.

The Role

This is a deeply analytical and research-driven role within the Pricing Optimisation team. You’ll be focusing on advanced mathematical modelling and pricing logic development to enhance the company’s pricing engine. Unlike traditional ML-focused roles, this will go deeper into statistical theory and pricing dynamics to influence global product strategy.

Key Responsibilities

– Research and develop advanced pricing models for hotel revenue optimisation.

– Work closely with other data scientists and engineers to deploy new logic.

– Collaborate on experimentation, testing and performance evaluation.

– Present findings to technical and non-technical stakeholders.

– Contribute to long-term pricing strategy alongside product and business teams.

Skills & Experience

Essential:

– PhD in a mathematics, statistics or quantitative field (or Master’s with strong pricing experience).

– Excellent Python and Pandas skills.

– Strong understanding of machine learning principles (excluding deep learning).

– Ability to work independently on complex mathematical problems.

– Research-led mindset with a passion for optimisation.

Desirable:

– Experience with pricing in hospitality or travel sectors.

– Familiarity with academic or research environments.

Team & Structure

You’ll join the Pricing Optimisation team, working alongside 3 Senior Data Scientists under the management of James Butler. The wider DS function includes a Forecasting team and engineering support, with additional collaboration across global locations.

Benefits

– 5-8% performance bonus (depending on level)

– Equity

– Private healthcare

– 25 days holiday

– Nursery benefit (tax-free)

– Remote-first working policy (UK only)

Interview Process

1st Stage: Intro chat with DS Manager

2nd Stage: Live technical screen share coding task (1 hour)

3rd Stage: Take-home task (up to 3 hours)

4th Stage: Presentation (30 mins)

5th Stage: Deep dive on ML and culture fit

Final Stage: VP sign-off conversation

How to Apply

Send your CV to Mohammed Buhariwala at Harnham or reach out directly for more information about the opportunity.

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Senior Pricing Optimisation Data Scientist

Location: UK-based
Salary: £60,000 – £70,000

The Opportunity

Join a global leader in pricing and revenue intelligence, recently expanded through the acquisition of a high-growth startup. As part of a specialised team of highly academic Data Scientists, you’ll contribute to cutting-edge pricing algorithms that help reshape decision-making in travel and hospitality industries.

This is a deeply analytical role that values theoretical understanding and scientific thinking over production engineering. If you enjoy complex, research-driven problems with real-world impact – this is for you.

What You’ll Do

• Conduct deep research into pricing optimisation strategies for hotel revenue
• Develop models in Python using Pandas, statistical tooling, and custom algorithms
• Translate real-world pricing problems into mathematical and statistical frameworks
• Work independently and contribute to a culture of intellectual rigor and curiosity

Ideal Profile

• PhD in Mathematics, Statistics, Physics, or a related quantitative field (Master’s with significant pricing optimisation experience considered)
• Strong foundation in statistical modelling, optimisation, and machine learning fundamentals
• Fluent in Python and data science tools (e.g., Pandas, NumPy)
• Prior experience in revenue management or pricing is a plus, but not required

Interview Process

1. Intro chat
2. Take-home exercise and presentation
3. Sign off chat

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Data Scientist

£60,000-£70,000

Fully Remote in The UK

THE COMPANY

If you’re tired of tweaking models that never make it to production; read on! A tight-knit, PhD-led team is building next-gen pricing and forecasting models that actually go live; think hotels, flights, and real-time demand shifts. This is real, applied data science: you’ll be developing and owning models end-to-end, not just passing a notebook to someone else!

THE ROLE

In the role you will:

• Develop ML models for price optimisation and demand forecasting
• Work with Bayesian stats, time series analysis, Monte Carlo, RL
• Directly influence pricing decisions in a real commercial setting
• Integrate external and internal data streams to reflect live market dynamics

YOUR SKILLS AND EXPERIENCE

• PhD Background
• Strong Python

THE BENEFITS

• £60,000-£70,000 (DOE)

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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OMNI-CHANNEL ANALYTICS PARTNER

Ontario, Canada

Remote

A leading pharmaceutical company is looking for two Brand Analytics Partners to join their Commercial Analytics function that will play a pivotal role in shaping brand strategy through robust data insights.

The Role:

As a Omni-Channel Analytics Partner, you’ll work closely with commercial and brand teams to drive evidence-based decision-making. You’ll be hands-on with data, building models and drawing insights that directly impact brand performance.

Key Responsibilities:

• Optimize omnichannel marketing strategy – determine the right mix of channels and messaging for HCPs and patients.
• Build models to drive marketing decisions: propensity models, segmentation, next-best-action, uplift models, and more.
• Develop and evaluate attribution models, A/B tests, test vs. control frameworks, and campaign response models.
• Perform data wrangling, feature engineering, and model development using large, raw datasets.
• Translate analytics into actionable commercial recommendations across brand, sales, and digital teams.
• Collaborate cross-functionally on strategic planning and execution.

Your Skills & Experience:

To succeed in this role, you’ll need:

• Strong background in data science, statistics, or a STEM field.
• Proficient in SQL and Python (R a plus) – hands-on with large datasets.
• Able to build, validate, and interpret complex models.
• Experience with commercial or omnichannel analytics in pharma, healthcare, or digital media.
• Familiarity with claims, field sales, or prescription data.
• Comfortable presenting data-driven insights to non-technical stakeholders.

Apply Below!

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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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LEAD DATA SCIENTIST

HYBRIDE – UP TO 80K€ FIXES

Python – Docker – AWS

L’ENTREPRISE

C’est une entreprise reconnue dans le secteur automobile depuis plusieurs années. Elle intervient principalement dans la distribution et les services liés aux véhicules. Implantée sur plusieurs marchés, elle mise sur son expertise et son dynamisme pour accompagner ses clients.

LES MISSIONS

En collaboration avec le Directeur Data, vous rejoindrez une équipe de 10 personnes, vous serez en charge de la structuration des pratiques de Data Science. Vos missions seront les suivantes :

• Développer et déployer des modèles de Machine Learning pour répondre aux besoins métiers
• Assurer la maintenance évolutive des modèles
• Définir et mettre en oeuvre les méthodologies de Data Science
• Être orienté business et résultat

VOTRE PROFIL

• Bac+5 au sein d’une école d’ingénieur ou université en mathématiques, statistiques ou probabilités
• Minimum 4 ans d’expérience sur un rôle de data science dans des environnements en production
• Solide maîtrise de Python, Docker et un cloud public
• Niveau d’anglais B1

POUR POSTULER

Merci de me faire part de votre CV et je vous recontacterai au plus vite.

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LEAD DATA SCIENCE & IA
POITOU-CHARENTES (86)
65-85K€

En tant que Lead Data Science & IA, vous serez responsable de la conception, du déploiement et de l’industrialisation des projets IA au sein du groupe. Ce poste stratégique allie expertise technique, chefferie de projet, et acculturation des métiers à la data science.
Vous évoluerez dans un environnement agile, en pleine construction, avec une grande liberté d’action et un fort impact business.

VOTRE RÔLE

• Développer et déployer des modèles ML/IA sur des cas d’usage métier (prévision, scoring, optimisation…)
• Assurer la maintenance évolutive et l’amélioration continue des modèles
• Piloter l’industrialisation progressive (MLOps, containerisation, monitoring…)
• Cadrer et gérer les projets de A à Z : recueil de besoins, échanges métier, restitution
• Vulgariser les résultats et accompagner l’acculturation IA en interne
• Participer au recrutement et à la structuration de l’équipe Data Science

VOTRE PROFIL

• Minimum 5 ans d’expérience (possibilité d’ouvrir à 2-3 ans pour des profils très solides issus de grandes écoles type ENSAE, Télécom, Polytechnique, ENSAI)
• Solide formation en mathématiques appliquées / statistiques / machine learning
• Maîtrise avancée de Python, Docker, et des environnements Cloud (AWS ou autre)
• Expérience concrète en mise en production de modèles IA et pratique de MLOps
• Capacité à gérer un projet de bout en bout et à vulgariser les résultats auprès de publics non techniques
• Esprit structurant, terrain, et posture de leader technique
• Bon niveau de français et anglais

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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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