DATA SCIENCE, ML & AI FOCUS
Specialist Focus Areas
At Harnham, we specialize in the following key areas within Data Science, Machine Learning, and AI:
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- AI and Machine Learning: Developing intelligent systems that can learn and adapt.
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- AI Architect: Designing AI frameworks and solutions that integrate seamlessly with existing systems.
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- AI Engineering: Building and implementing AI models and algorithms.
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- Deep Learning: Utilizing neural networks to model complex patterns in data.
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- Generative AI Engineers: Creating AI systems that can generate new data or content.
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- ML Engineering: Building robust and scalable machine learning systems.
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- ML Ops: Managing and automating machine learning workflows and operations.
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- ML Platforming: Developing platforms that support machine learning processes and operations.
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- NLP/LLM: Working with natural language processing and large language models to interpret and generate human language.
- ML Applied Science: Applying machine learning techniques to solve real-world problems.
JOBS
LATEST DATA
SCIENCE OPPORTUNITIES
With over 17 years of experience, Harnham has established itself as the leading global authority in Data and AI Recruitment
Associate Director – Lead Omni-Channel Data Scientist
Chicago
$175000 - $200000
+ Data Science & AI
PermanentChicago, Illinois
To Apply for this Job Click Here
Associate Director – Lead Omni-Channel Data Scientist
US (Remote)
Up to $200,000 + 20% Bonus
Overview:
We’re partnering with a global, market-leading pharmaceutical company that’s investing heavily in data, analytics, and AI to transform how they engage customers. Following record-breaking revenue and profitability growth, they are building a world-class analytics function across the US and Canada.
This newly created Associate Director level role – Lead, Omnichannel Analytics and Data Science – will be instrumental in bringing marketing mix modelling in-house, developing advanced recommendation systems, and leading the Next Best Action initiative for a major therapeutic brand.
What You’ll Do:
- Lead the design, development, and delivery of advanced omnichannel analytics strategies.
- Bring Marketing Mix Modelling (MMM) in-house, building models in Python.
- Create Next Best Engagement models to personalise marketing activities.
- Partner with senior marketing and commercial stakeholders to turn data into action.
- Provide strategic insights and KPIs for measuring omnichannel effectiveness.
What We’re Looking For:
- Strong experience with Marketing Mix Modelling and advanced statistical modelling.
- Proficiency in SQL and Python.
- Strong statistical (STEM) academic background
- Extensive eperience working with digital marketing / media data.
- Strong communicator, comfortable influencing senior stakeholders.
- Pharma experience is a nice-to-have
Location:
Remote within the US (Central Time Zone working hours preferred).
Compensation & Benefits:
- Base: Up to $200,000 + benefits
- 23% target bonus
- 6% matched 401K
- Full medical, dental, vision, and generous PTO
Interested? Apply now or contact us directly for a confidential discussion.
To Apply for this Job Click Here
Staff Data Scientist
$210027 - $262533.75
+ Data Science & AI
PermanentNew York
To Apply for this Job Click Here
Staff Data Scientist – Modeling Focus (IC Role)
Remote (EST/CST)
$200-250k + bonus
We’re looking for a data scientist who loves building models and has a strong background in commercial and digital data. Ideally, you’ve worked in fast moving environments, translating complex data into actionable insights for marketing, sales, or customer experience.
What you’ll be doing
- Own models end-to-end: clean the data, engineer features, build, validate, deploy, and iterate
- Use statistical and predictive modeling to tackle forecasting, optimization, and risk challenges
- Build models from scratch and bring key modeling in-house
- Collaborate with engineers, analysts, and product teams to ensure models are production-ready and maintain performance
- Monitor model performance and adjust as needed when data drifts
- Communicate insights effectively to both technical and non-technical stakeholders, influencing strategy across the business
What we’re after
- 5+ years of hands-on experience building and deploying models in a data science role
- STEM degree (or equivalent experience)
- Strong Python and SQL skills, with experience in scikit-learn, pandas, NumPy, or similar
- Demonstrated ability to lead hands-on modeling projects
- Solid statistics background: regression, hypothesis testing, experimental design
- Comfortable wrangling large, messy datasets
- Clear and concise communicator who can translate technical results into business impact
To Apply for this Job Click Here
Staff Data Scientist
Redwood City
$275000 - $310000
+ Data Science & AI
PermanentRedwood City, California
To Apply for this Job Click Here
Staff Data Scientist
Redwood City, California Area – Hybrid (3 days in office each week)
Salary: $275,000 – $310,000 base + bonus + equity
About the Company
This company is an eCommerce marketplace connecting millions of buyers and sellers across a thriving global community. With millions of active users, they are solving some of the most complex challenges in modern eCommerce. They are currently undergoing a major AI expansion initiative, investing heavily in machine learning and AI capabilities to deliver more personalized, efficient, and trusted marketplace experiences at scale.
About the Role
This company is seeking a highly skilled Staff Data Scientist to play a key role in their growing AI organization. In this role, you’ll design and lead high‑impact data science initiatives, building models that power critical marketplace functions such as personalization, recommendations, search ranking, content moderation, and trust & safety. You’ll be responsible for setting technical direction, mentoring other team members, and driving innovative AI solutions from concept to production.
This is a high‑ownership role where you will have autonomy to work independently, collaborate across functions, and influence the company’s AI strategy.
What You’ll Do
- Lead end-to-end ML projects for personalization, recommendations, feed ranking, and GenAI use cases.
- Partner with ML Engineers to build and scale production-ready systems.
- Drive experimentation to improve marketplace metrics (CTR, conversion, trust & safety scores).
- Mentor junior data scientists and guide technical execution within squads.
What They’re Looking For
- Strong Python skills and experience with deep learning frameworks (PyTorch preferred).
- Proven track record in recommendation systems, ranking models, NLP, or computer vision.
- Experience with large-scale consumer data in e-commerce, marketplaces, or social commerce.
- Knowledge of the full ML lifecycle and scaling models to millions of users.
- Background in high-scale consumer tech is a plus.
Culture Fit
- Collaborative and proactive, with the ability to simplify complex ideas for both technical and non‑technical audiences.
- Adaptable and comfortable with shifting priorities in a fast‑moving environment.
- High emotional intelligence with a growth‑oriented mindset.
- Open‑minded and creative, valuing a culture that embraces individuality.
Why This Role?
- Opportunity to be part of a major AI transformation with significant investment in R&D.
- Work on problems that directly impact millions of global users.
- Join a team that values innovation, collaboration, and adaptability.
To Apply for this Job Click Here
AI Data Science Associate
City of London
£400 - £500
+ Data Science & AI
ContractCity of London, London
To Apply for this Job Click Here
AI Data Science Consultant
7 months
Primarily remote, with shared office space once per week (london).
Occasional client meetings – max 1 day per week on-site.
About the Company
- London-based consulting firm
- Small, highly specialised team of industry and subject matter experts
- Focus areas: Uncrewed Aircraft Systems (UAS / drones) , Sustainable aviation, Advanced Air Mobility (AAM)
- Vision: Empower the aviation industry to achieve a sustainable future – Through advanced technology, deep industry knowledge, and collaboration
- Mission: Help aviation organisations deliver optimised, sustainable, and resilient solutions
- Driven by a passion for innovation and impact in aviation
- Secured funding for a regulatory innovation office, primarily focused on exploring how AI can be applied to drone policy development and implementation.
- Around 95% of the work is in partnership with the CAA (Civil Aviation Authority).
- The project is scheduled to start on 1st September and run until the end of March (7-month contract)
Team
- There’s already a core team with strong policy and consulting experience, along with front-end developers on the user side.
- They’re working with external technical people on a consulting basis
Project
- Join a close-knit team working on Drone flight initiatives
- Collaborating with: Central government, Regulators, Industry stakeholders
- New project focus: Researching and prototyping AI-based tools, Supporting UAS policy development, Assisting operators in applying policy
- Project aims to Shape the UK’s approach to safe and efficient drone regulation
- This is a discovery-phase role focused on exploring and prototyping AI applications in drone regulation.
Project goals include:
- Identifying where AI can support policy development
- Building POCs and prototypes
- Delivering a business case outlining various AI use cases and feasibility
- Exploring use of NLP tools to process and interact with policy documents
- Developing support tools like chatbots or interactive guidance systems
Role Overview
The candidate will work alongside a multidisciplinary team of aviation consultants, AI engineers, policy experts, and UX developers. The role involves:
- Prototyping AI/NLP tools for policy analysis and consultation feedback processing
- Building retrieval-augmented generation (RAG) systems to provide policy guidance
- Preparing datasets and pipelines using structured and unstructured regulatory data
- Contributing to model evaluation and iteration based on user feedback
- Developing prototype tools to support operators, such as chatbots and evidence-checking features
- Documenting technical processes and outcomes for R&D reporting
Key Responsibilities
- Identifying opportunities to apply AI techniques across the policy development lifecycle
- Cleaning, transforming, and preparing data for AI models
- Implementing and fine-tuning NLP models for tasks such as classification, clustering, and sentiment analysis
- Assisting in the development and testing of AI features for internal proof-of-concept tools
- Collaborating with the UX and front-end team to ensure output usability
- Supporting model integration and testing under the guidance of the AI Engineer
Ideal Candidate Profile
- Not purely technical – someone with a management consultancy mindset, able to handle ambiguity and blend strategy with delivery
- MSc with some practical elements (recent grad or early career)
- Strong communication and collaboration skills
- Comfortable working independently and taking initiative
- Flexibility in working across evolving priorities
- Background in AI, NLP, or policy-related AI applications
- A person with strong technical skills might see this as a short-term contract, whereas a more well-rounded candidate could fit longer-term needs.
Desirable Skills
- Familiarity with retrieval-augmented generation (RAG) architectures
- Experience with front-end data visualisation
- Understanding of UAS (drones), aviation, or other regulated industries
- Involvement in agile software development environments
- Strong communication skills, particularly the ability to explain technical ideas to non-technical audiences
To Apply for this Job Click Here
HEAD OF DATA – SCALE UP
Paris
€70000 - €80000
+ Data Science & AI
PermanentParis, Île-de-France
To Apply for this Job Click Here
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
To Apply for this Job Click Here
Group Head of Data Science
London
£170000 - £200000
+ Data Science & AI
PermanentLondon
To Apply for this Job Click Here
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
To Apply for this Job Click Here
Director of Data Science
San Francisco
$250000 - $300000
+ Data Science & AI
PermanentSan Francisco, California
To Apply for this Job Click Here
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
To Apply for this Job Click Here
Director of Data Science
San Francisco
$250000 - $280000
+ Data Science & AI
PermanentSan Francisco, California
To Apply for this Job Click Here
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.
To Apply for this Job Click Here
Data Science Manager
London
£110000 - £120000
+ Data Science & AI
PermanentLondon
To Apply for this Job Click Here
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.
To Apply for this Job Click Here
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News & Blog
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Testimonials
Client and
candidate
testimonials
A trusted partner of professionals
across the globe.
We understand the challenges our
customers face and offer the
recruitment solutions needed to drive
business success through Data &
AI.
Candidate – Market Research Analyst
Thanks to Harnham, I am now in a role that suits me. My recruiter was able to quickly identify the skills I had to offer and match me up with his client. It was a win-win for everyone. I was given great advice throughout the process, and I also appreciated the follow-ups that I received.
Candidate /
Market Research Analyst
Candidate – Digital Media and Analytics
I've recently got a short-term contract role through Harnham, and things couldn't have gone better! My recruiter was incredibly helpful throughout the entire process. They also provided incredible admin support so that I could focus on the actual job in hand, rather than having to spend too much time dealing with these matters.
Candidate /
Digital Media and Analytics
Client – Data Direction – Broadcast Media
I have worked with Harnham for over 2 years now as our main Analytics Recruiter partner and I am very pleased with the overall service and the people we have hired via Harnham. Harnham’s team is very good at understanding our recruitment needs and always come back with relevant and well scanned CVs, which saves me precious time.
Client /
Data Direction – Broadcast Media
Candidate – Chief Data Officer
It was a real treat to work with Harnham. My recruiter consistently went above and beyond to ensure that I navigated through the recruitment process as smooth as possible. I had been in contact with other professional at Harnham in the past and I can attest that the level of professionalism is always top-notch.
Candidate /
Chief Data Officer
Client – Director of Customer Data Science – Apparel
The team at Harnham have been outstanding in helping our company build a market-leading data science team. Harnham’s communication is great, and the recruiter’s take a consultative approach that’s really focused on provided value for both their clients and their candidates. They provide strong candidates that help us fill our roles with high achievers who are also a great fit for our culture.
Client /
Director of Customer Data Science – Apparel
Candidate – Data Analyst
I’ve had a great experience with Harnham. The recruiter provided great advice and ensured that I understood everything, and even followed up with me after I started my new role to see how I was settling in. I would recommend Harnham as a great recruitment company for anyone looking for a role in data and analytics.
Candidate /
Data Analyst
Client – Director of People Operations
We’ve been collaborating with Harnham to recruit some key positions for our company, and they have been incredible partners. They team has been great and efficient. They understood our needs perfectly and provided us very talented candidates. We'll keep collaborating with them in the future. Thank you for your excellent job!
Client /
Director of People Operations
Candidate – Senior Data Engineer
I've been a Senior Data Engineer for about 4-5 years and Harnham is one of the best recruitment agencies I worked with. There was a time when my offer fell through and the recruiter I was working with at Harnham jumped in to the rescue and scheduled interviews for me within a couple of days. Really good agency and some great people.
