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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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Decision Science Modeller
£40,000
Leeds (Hybrid Working Available)

An excellent opportunity for a high-performing Master’s or PhD graduate-or a modeller with 1-2 years’ experience in financial services-to step into a data-driven analytical role. You’ll support the development of scorecards, pricing strategies, and segmentation models within a leading player in the consumer finance space.

About the Organisation
This is a well-established and growing financial services firm operating across the UK and Europe. The business focuses on acquiring and managing diverse consumer finance portfolios and is known for its customer-first approach. They place a strong emphasis on ethical treatment, compliance, and data-led decision-making, working with a wide range of clients across financial services and utilities.

The Role
Joining a high-performing Decision Science team, your remit will involve end-to-end predictive modelling and analytics. You’ll play a vital role in shaping strategic decisions across the business.

Key Responsibilities:

• Develop and optimise scorecards and pricing models using statistical and machine learning methods

• Translate complex data into actionable insights for commercial stakeholders

• Work closely with operational teams to embed models and monitor performance

• Drive innovation by supporting the team’s growth in advanced analytics and machine learning techniques

Candidate Profile

You’ll need either:

• A Master’s or PhD in a STEM subject
  or

• 1-2 years’ relevant experience in a modelling role within financial services

Essential:

• Strong coding ability in Python

Desirable:

• SQL proficiency

• Exposure to credit risk, collections, or pricing

• Knowledge of machine learning methods and practical applications

Package Overview

• £40,000 base salary

• Annual performance bonus

• Pension scheme

• Private healthcare

Register your interest by sending your CV to Daniel Abbasi via the apply link on this page.

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Data Science Manager – Remote

We are working with a start up fintech company looking for a Data Science Manager to join the team fully remote!

The successful candidate will manage a team of 4 Data Scientists across technical guidance and mentorship. The role will involve building models for KPI trackers – mainly linear regression and time series. There will also be an integration between different software so knowledge and experience of software development tools is a plus.

Required Experience

• Web Scraping
• Statistical Modelling – Regression, time series, clustering
• Pandas, Kubernetes, TensorFlow, Docker
• Python & SQL

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Data Science Manager

Remote (UK applicants only)

£75k

Please note, this role doesn’t offer sponsorship

Harnham are exclusively partnering with a fast-growing start-up with 30 people globally. As a business, they are currently making over £1 million in ARR and have a very strong pipeline.

The Company

This business provide essential insights to investors and hedgefunds, helping them steer their investments. They track data across 200 companies and are making a real impact.

The Role

As a Data Science Manager, you will be:

• Managing a team of 3/4.
• Building models to produce KPI trackers, such as linear regression and statistical models.
• Accessing API integration of different software, working with databases and supporting the revenue team with their data analysis requirements.

Skills & Experience

• Statistics
• Data Science Modelling – Linear Regression, Attribution…
• Python
• Web Scraping would be ideal
• Interest or Background in Finance
• Masters Degree of equivalent in a relevant industry

How to Apply

Register your interest by sending your CV to Daniel Abbasi via the apply link on this page.

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Senior Data Scientist
Fashion retailer
London (2-3x days a week in office)
£85,000 + Bonus + Benefits

THE ROLE:

Harnham is working with a leading fashion retailer in the UK who are looking to add a Senior Data Scientist to their UK team.

The focus of this new investment is to introduce cutting-edge machine learning to the business, solving problems across the company.

Projects will include: performance marketing (attribution modelling / market mix modelling), customer behaviour analysis, supply chain optimisation and dynamic pricing strategies.

WHAT YOU NEED:

• A solid understanding of both supervised and unsupervised machine learning techniques
• A passion for solving complex commercial problems with a data-driven modelling approach
• Strong communication skills
• An MSc or equivalent in a STEM subject
• Strong skills in Python and SQL
• Cloud experience
• Experience in deploying, scaling and maintaining machine learning models in production.

THE BENEFITS

You can earn up to £85,000 + bonus + benefits in this position.

HOW TO APPLY

To be considered for this exciting opportunity, please submit your details using the Apply button on this page. For more information about similar roles please contact Nick Mandella at Harnham.

KEYWORDS

Python, SQL, Data Scientist, Data Science, Machine Learning, Retail, Customer, marketing, Data, AI. Databricks, azure, MLOps.

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Data Scientist (Marketing)

3x day per week in office (London)
Telco
£45,000 – £50,000 + Equity

OVERVIEW

At Harnham we’re working with a tech start-up in London who are looking for a Data Scientist to help lead their efforts in performance marketing and customer behaviour analysis.

They have an established data team within the organisation tackling a range of problems, and are growing their data science team to help bring a more sophisticated approach to key areas.

There is a fun and relaxed culture, as well as a passion for using data to help companies in the financal services space make better decisions and maximise their ROI from marketing efforts!

This is one of a few roles they’re hiring for in 2025 – so a great time to join!

THE ROLE

You will be:

• Helping to lead data science efforts related to marketing problems and customer behaviour for the company (e.g. segmentations, propensity modelling, LTV, market mix modelling, attribution modelling etc).
• Help promote the company’s data-driven culture
• Work closely with other teams including engineering, product, pricing and CRM
• Come up with creative ways for the company to get results using data
• Pushing the boundaries and exploring new and innovative techniques

SKILLS AND EXPERTISE

You must have:

• A BSc or MSc in a STEM subject (e.g. Maths, Stats, Computer Science, Physics etc)
• Experience programming with Python
• Knowledge of a database query language (SQL preferred)
• Experience in using machine learning to solve customer/marketing-related problems

SALARY

In this role you could earn up to £50,000 + benefits.

HOW TO APPLY

To be considered for this exciting opportunity, please submit your details using the Apply button on this page. Or for more information regarding other roles please contact Nick Mandella at Harnham.

KEYWORDS

Python, SQL, machine learning, Data Scientist, Data Science, analyst, analytics, data, AI, customer, marketing, attribution.

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DATA SCIENTIST SENIOR
PARIS (75)
70-75K€

Cette entreprise technologique française recherche son Data Scientist Senior pour renforcer son positionnement technologique et d’accélérer le développement de ses produits. La société investit énormément dans la structuration de son pôle Data. Leur ambition ? Intégrer des profils expérimentés capables d’exploiter les leviers de l’Intelligence Artificielle pour développer des solutions de pointe, robustes et intelligentes, au service de la protection des systèmes d’information.

VOTRE RÔLE

Rattaché au Head of Data et en lien direct avec le cofondateur, vous interviendrez sur des problématiques à fort enjeu stratégique et technique. En tant que Senior Data Scientist, vous jouerez un rôle clé dans la structuration des projets data et dans l’implémentation de solutions de Machine Learning. Vos missions principales:

• La construction et l’optimisation de pipelines de Machine Learning
• Le cadrage et la modélisation de problématiques de régression linéaire, logistique ou de classification
• La mise en production de modèles robustes, adaptés aux besoins produits
• L’accompagnement technique de l’équipe sur la prise de recul méthodologique et algorithmique
• La collaboration étroite avec les équipes produit et tech dans un environnement agile
• À noter : les sujets de type RAG, NLP ou les approches de LLM ne sont pas au cœur des enjeux actuels.

VOTRE PROFIL

• Vous justifiez d’une expérience significative (4 ans minimum post diplôme) sur des projets concrets de Data Science ou de Machine Learning classique (régression, classification)
• Vous avez une excellente maîtrise des outils et langages data (Python)
• Vous avez une solide culture algorithmique et un fort recul technique sur les modèles
• Vous êtes capable de construire des pipelines performants, propres et industrialisables
• Vous êtes autonome, structurée, et aimez collaborer dans des environnements exigeants
• Une expérience dans des contextes industriels ou produits tech est un plus

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DATA SCIENTIST – CDI

UP TO 62K€ FIXE

PARIS – HYBRIDE

Une entreprise startup qui développe un logiciel de computer vision pour les entreprises recherche un data scientist. Si l’environnement startup et le domaine de la mode vous intéresse, alors cette offre est faite pour vous !

LE POSTE

Rattaché au Head of data science, vous dirigerez des projets clés pour l’entreprise en développant des solutions de données industrialisées qui seront ensuite utilisées en interne ou accessibles par les clients. Vous serez en charge de l’extraction des données jusqu’à la traduction en insights.

Vos missions au quotidien :

• Participer au développement de produits d’analyse de données robustes
• Contribuer à la construction de la boîte à outils data science pour rendre les processus plus efficaces
• Être le référent sur les données et les indicateurs fournis aux clients
• Explorer les données pour extraire des insights et améliorer la méthodologie des processus

VOTRE PROFIL

• Bac+5 diplôme en école d’ingénieur ou université
• 3 ans d’expérience dans le domaine data science
• Familier avec les problématiques liées aux grandes données et aux solutions cloud (Snowflake, AWS Redshift)
• Bonne expérience en industrialisation et intégration de données
• Maîtrise de Python, SQL, BigQuery et Docker pour la mise en production
• Français et anglais courants obligatoires

POUR POSTULER

Merci de joindre votre cv à jour.

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