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
Lead Data Scientist
City of London
£90000 - £100000
+ Data Science & AI
PermanentCity of London, London
To Apply for this Job Click Here
Lead Data Scientist
London – Hybrid
£90,000 – £100,000 + Benefits
About the Role
We’re working with a fast-growing fintech that is redefining the credit industry through fair, accessible, and innovative digital finance products. They’re looking for a Lead Data Scientist to drive their AI adoption strategy, evolve modelling capabilities, and lead a small team of data scientists. This is a chance to shape the company’s AI roadmap, leading from the front and ensuring they stay ahead of the market.
Key Responsibilities
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Lead a team of data scientists, delivering high-quality models and analysis.
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Own the full model lifecycle, from data sourcing to deployment and monitoring.
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Explore advanced ML techniques while ensuring compliance in a regulated industry.
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Partner with stakeholders across Risk, Pricing, Product, and Engineering to embed data-driven decision making.
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Develop and oversee frameworks for model monitoring, performance tracking, and testing.
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Communicate complex analytics into clear, actionable recommendations for senior leadership.
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Champion best practice in coding, documentation, version control, and automation.
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Act as the AI expert, staying ahead of emerging trends, tools, and regulatory developments.
What We’re Looking For
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Proven experience as a Senior or Lead Data Scientist in financial services, consumer lending, or fintech.
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Strong background in managing and developing analytics teams.
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Advanced proficiency in Python, SQL, and modern ML frameworks.
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Expertise in credit and fraud modelling, pricing models, and lending analytics.
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Track record of researching, prototyping, and deploying AI/ML solutions in production.
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Ability to set AI strategy and influence senior leadership.
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Strong understanding of model governance, monitoring, and explainability in a regulated environment.
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Excellent communication skills, able to bridge technical and commercial priorities.
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
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
AI Innovation Lead
Amsterdam
€90000 - €120000
+ Data Science & AI
PermanentAmsterdam, North Holland
To Apply for this Job Click Here
Job Title: AI Innovation Lead
Location: Amsterdam
Contract Type: Full-time
About Us
This large scale company are a forward-thinking organization committed to leveraging emerging technologies to deliver cutting-edge solutions. With AI rapidly reshaping industries, they are investing in bold initiatives that push boundaries and unlock new opportunities for growth, efficiency, and customer value.
The Role
They are seeking an AI Innovation Lead to spearhead the artificial intelligence strategy and innovation agenda. You will be responsible for identifying, piloting, and scaling AI-driven opportunities across the business. Collaborating closely with product, engineering, and leadership teams, you’ll ensure that AI adoption is not just about technology, but about creating meaningful impact.
Key Responsibilities
- Define and lead the AI innovation roadmap, aligning with business strategy.
- Explore emerging AI technologies and assess their potential for practical application.
- Drive ideation, prototyping, and deployment of AI-powered solutions.
- Partner with cross-functional teams to embed AI into products, services, and operations.
- Build a culture of innovation, experimentation, and ethical AI adoption.
- Manage vendor relationships and evaluate third-party AI tools/partnerships.
- Track and report on AI initiatives, measuring ROI and business outcomes.
About You
- Proven experience in AI, data science, or innovation leadership roles.
- Strong understanding of machine learning, generative AI, and automation technologies.
- Strategic thinker with the ability to translate complex AI concepts into business value.
- Hands-on experience with prototyping or deploying AI solutions.
- Excellent communication and stakeholder management skills.
- Passion for innovation, with a forward-looking mindset on ethical AI and emerging trends.
Why Join Us?
- Opportunity to shape the future of AI innovation in a growing organization.
- Collaborative, forward-looking culture with strong leadership support.
- Competitive salary, benefits, and personal development opportunities.
- Freedom to experiment and drive transformative projects.
To Apply for this Job Click Here
Data Scientist (Time-series focus)
London
£100000 - £150000
+ Data Science & AI
PermanentLondon
To Apply for this Job Click Here
Data Scientist (Time Series Focus)
London | 4-5 Days per week in Office
£150,000 + 100% Bonus
Are you a data scientist with a passion for time-series modelling and financial markets? We’re working with a leading London-based hedge fund that’s seeking a Data Scientist to join their growing research and investment team. This is a unique opportunity to apply cutting-edge modelling techniques to real-world macroeconomic and market challenges.
Why this role?
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Join a successful and ambitious hedge fund with a specialism in global macro strategies.
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Apply your skills in time-series forecasting to datasets central to investment decisions.
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Collaborate with quant researchers and ML engineers in a highly data-driven environment.
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Competitive base salary with significant bonus earning potential.
What you’ll be doing:
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Exploring, processing, and analysing complex time-series datasets.
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Designing and implementing advanced statistical, ML, and deep learning models for forecasting.
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Applying best practices in model development, testing, and validation.
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Working closely with quants and engineering teams to integrate models into investment workflows.
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Contributing directly to investment strategies with your research and insights.
What we’re looking for:
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Strong hands-on experience with time-series modelling (ARIMA, VAR, GARCH, Prophet, LSTMs, Transformers, etc.).
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Proficiency in the Python ecosystem (pandas, scikit-learn, statsmodels, PyTorch/TensorFlow; polars/dask a plus).
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Familiarity with SQL and handling large datasets.
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Curiosity and interest in financial markets and macroeconomics.
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Master’s or PhD in a quantitative discipline a strong advantage.
What’s on offer:
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Competitive salary (based on experience).
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Significant bonus potential.
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London-based role in a dynamic, high-performing hedge fund environment.
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Exposure to cutting-edge research at the intersection of data science and macro investing.
If you’re a data scientist who thrives on applying advanced modelling to complex real-world problems and wants to see your work directly influence investment decisions, this is the perfect opportunity.
To Apply for this Job Click Here
Senior Data Scientist
$160000 - $180000
+ Data Science & AI
PermanentUSA
To Apply for this Job Click Here
Title: Senior Data Scientist
Industry: Marketing Ed-Tech (Remote)
Location: Remote (Must be U.S. based)
Company Overview
Our client, a growing mid-sized marketing ed-tech company, seeks a Senior Data Scientist to build advanced ML models for lead scoring, customer journey optimization, and Marketing Mix Modeling (MMM).
Key Responsibilities:
- Develop and optimize ML models for lead scoring, customer journey mapping, and multi-touch attribution analysis
- Design MMM frameworks to measure marketing channel effectiveness and optimize budget allocation
- Build end-to-end scalable data pipelines using Azure Databricks for large-scale processing and Dagster for workflow orchestration
- Deploy production models via Kubernetes containerization and manage MLOps lifecycle
- Integrate LLMs and GenAI tools for content personalization, automated insights, and enhanced customer segmentation
- Conduct A/B testing and statistical analysis to validate model performance and business impact
- Create executive dashboards and collaborate with marketing, product, and business teams on data-driven strategy
Requirements:
- Experience: 7+ years in data science with proven experience in marketing analytics, customer analytics, or related domains
- Expert Python (pandas, scikit-learn, TensorFlow/PyTorch) and advanced SQL proficiency
- Hands-on experience with Azure Databricks for distributed computing and collaborative analytics
- Proficiency with Dagster or similar workflow orchestration tools for data pipeline management
- Experience deploying ML models using Kubernetes and containerized applications
- Familiarity with LLMs, GenAI tools, and their practical applications in marketing
All applicants must be authorized to work in the United States to qualify. Our client is unable to accommodate sponsorship at this time.
To Apply for this Job Click Here
Data Science Manager
City of London
£100000 - £120000
+ Data Science & AI
PermanentCity of London, London
To Apply for this Job Click Here
Data Science Manager – London – Pricing
We are working with a global e-commerce company who are B-Corp certified and are committed to doing good for people and the planet.
The Role
We’re looking for a Data Science Manager to lead and grow our data science function, with a focus on pricing and revenue optimisation across UK and US markets. You’ll manage a small team while remaining hands-on in model development, experimentation, and deployment.
Key Responsibilities
- Build and scale pricing models to drive revenue and customer value
- Lead experimentation (A/B, MAB, causal inference) and analytics projects
- Set best practices in data science and MLOps
- Mentor and manage a UK/US-based team
- Communicate insights and partner with product, engineering, and commercial teams
What We’re Looking For
- 10+ years in data science; 5+ in pricing/revenue management
- Strong Python (or R) and SQL skills
- Expertise in statistical modelling, forecasting, and ML
- Experience with cloud tools (preferably GCP/Vertex AI)
- Proven team leadership and stakeholder management
The role is 2-3 days in Kings Cross
To Apply for this Job Click Here
Senior Data Scientist
Chicago
$70 - $80
+ Data Science & AI
ContractChicago, Illinois
To Apply for this Job Click Here
What You’ll Do
- Lead the scoping, design, and delivery of high‑impact AI/ML initiatives from concept through operationalization
- Build, test, and deploy predictive and prescriptive models using tools such as Databricks, MLFlow, dbt, and Dagster
- Identify and trial emerging technologies to keep our analytics toolkit ahead of industry peers
- Collaborate with cross‑functional teams to embed advanced analytics into everyday decision‑making
- Communicate complex analytical findings in clear, actionable ways to audiences from frontline staff to executive leadership
- Mentor and develop analytics talent, fostering a culture of innovation and continuous learning
What We’re Looking For
- 5+ years of professional experience delivering advanced analytics solutions with measurable impact
- Proven track record in AI/ML experimentation, deployment, and scaling
- Strong technical expertise in established analytics methods and tools
- Excellent collaboration and communication skills, with the ability to translate data insights into strategic action
- Bachelor’s degree in a technical field (e.g., Computer Science, Mathematics, Engineering, Econometrics); Master’s or PhD a plus
- Experience in the education sector is helpful but not required
To Apply for this Job Click Here
Data Modeler
Columbus
$150000 - $170000
+ Data Science & AI
PermanentColumbus, Ohio
To Apply for this Job Click Here
The company:
The firm is a global consulting and analytics organization that partners with leading enterprises to deliver measurable business impact. It combines deep domain expertise with advanced data science and technology to solve complex operational and strategic challenges.
What you’ll do:
- Analyze customer support center operations through data modeling and shadowing
- Support the client’s migration to Python from legacy systems (SAS, other databases)
- Build and optimize models to improve scheduling, workflows, and customer experience
- Contribute to advanced operational research and non-linear programming in later phases
- Collaborate with stakeholders to deliver actionable, model-driven insights
What we’re looking for:
- 2-3 years of experience in data science / modeling roles
- Strong skills in Python, Pandas, NumPy, and SQL
- Exposure to operational research or customer support center/back-end operations a plus
- Hands-on experience building models (not just ETL pipelines)
If this opportunity aligns with your skills and interests, we encourage you to apply and explore the role further
To Apply for this Job Click Here
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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.
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 – 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.
Candidate /
Senior Data Engineer
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 – 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 – 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 – 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 – 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.
