FIND YOUR NEXT DATA SCIENCE JOB
We help the best talent in the Data Science market find rewarding careers.
Harnham is the best company for data science jobs because we are a global leader in data science recruitment.
Our extensive network of data science employers, and clients, ensuring you find the perfect match for your skills.
We offer a range of data science jobs from entry-level to director-level and have an experienced team of recruiters who will help match you with the right employer.
Also, we provide excellent resources and advice for data science job seekers, helping you prepare for interviews, negotiate salaries, and more.
HOW WE
DO IT
We pride ourselves on keeping our pulse on trends across the Data Science industry.
Our dedicated Data Science consultants have immersed themselves fully in the market and are able to provide industry-leading advice. Whether you’re looking for your next Data Science Job, or to find a Data Scientist for your team, Harnham has a wealth of knowledge and will help you make the process as efficient as possible.
We pride ourselves on keeping our pulse on trends in the industry and offer educational programmes to help keep our candidate’s skills sharp.
WHAT SETS
US APART?
We place considerable emphasis on getting to know you, your motivations and your skills.
We do this to ensure we only introduce you to companies that suit you. By taking the time to listen to and explore our clients’ briefs, we soon know whether candidates fit their culture or not.
As a genuine specialist in Data Science recruitment, we have developed long-standing partnerships within the marketplace. These relationships allow us to provide our candidates with access to the best opportunities in the sector.
If you are looking for that next Data Science job and career step, let us help you find it.
As working from home becomes ever more common, you can now search Remote Data Science Jobs.
JOBS
LATEST DATA
SCIENCE JOBS
Harnham are a specialist Data Science recruitment business, specializing in finding you your next data science job!
Data Scientist / Software Engineer (AI)
New York
$65 - $90
+ Data Science & AI
ContractNew York
To Apply for this Job Click Here
Data Scientist / Software Engineer (AI)
Lead Software Engineer (AI) position having experience in classic and generative AI techniques, and responsible for design, implementation, and support of Python based applications.
What you’ll do:?
- Deliver client engagements that use AI rapidly, on the order of a few weeks
- Stay on top of current tools, techniques, and frameworks to be able to use and advise clients on them
- Build proofs of concept rapidly, to learn and adapt to changing market needs
- Support building internal applications for use by associates to improve productivity
What you’ll need:
7+ years of experience in classic AI techniques and at least 1.5 years in generative AI techniques. Demonstrated ability to run short development cycles and solid grasp of building software in a collaborative team setting.
Must have:
- Experience building applications for knowledge search and summarization, frameworks to evaluate and compare performance of different GenAI techniques, measuring and improving accuracy and helpfulness of generative responses, implementing observability.
- Experience with agentic AI frameworks, RAG, embedding models, vector DBs
- Experience working with Python libraries like Pandas, Scikit-Learn, Numpy, and Scipy is required.
- Experience deploying applications to cloud platforms such as Azure and AWS.
- Familiarity with AWS Bedrock / Azure AI / Databricks Services.
- Solid grasp of building software in a collaborative team setting – use of agile scrum and tools like Jira / GitHub.
- Demonstrated ability to run short development cycle.
- Excellent written, verbal, and interpersonal communication skills with the ability to present technical information in a clear and concise manner to IT Leaders and business stakeholders.
Nice to have:
- Experience in finetuning Language models.
- Experience in MLOps Frameworks like Kubeflow, MLFlow, DataRobot, Airflow etc.,
- Experience in Machine learning models and techniques like NLP, BERT, Transformers, Deep learning.
- Experience building scalable data models and performing complex relational databases queries using SQL (Oracle, MySQL, PostgreSQL).
Who you are:
- Effective time management skills and ability to meet deadlines.
- Excellent communications skills interacting with technical and business audiences.
- Excellent organization, multitasking, and prioritization skills.
- Must possess a willingness and aptitude to embrace new technologies/ideas and master concepts rapidly.
- Intellectual curiosity, passion for technology and keeping up with new trends.
- Delivering project work on-time within budget with high quality.
To Apply for this Job Click Here
Applied Scientist
Manhattan
$60 - $65
+ Data Science & AI
ContractManhattan, New York
To Apply for this Job Click Here
Key Responsibilities
Experiment and Develop
-
Lead the end-to-end development of NLP and ML models, ensuring reproducible research, efficient experimentation, and scalable deployment.
-
Apply best practices in model management, data handling, and software delivery to deliver high-quality AI solutions.
Collaborate
-
Partner with cross-functional global teams to translate research into production-ready systems.
-
Mentor and elevate peers by sharing best practices and technical insights.
Deliver
-
Translate complex business challenges into well-scoped projects and deliver solutions efficiently in a fast-paced, agile environment.
-
Ensure accountability for timely, high-impact deliverables that align with organizational priorities.
Innovate
-
Explore and prototype new methods in NLP, IR, and Generative AI, leveraging emerging techniques such as transformer-based architectures, RAG frameworks, and agentic systems.
-
Contribute to a culture of experimentation and continuous learning.
Inspire
-
Communicate technical concepts clearly to both technical and non-technical audiences.
-
Advocate for AI adoption and best practices across the enterprise through demos, presentations, and collaboration.
Basic Qualifications
-
Master’s degree in a relevant field (e.g., Computer Science, Computational Linguistics, Machine Learning) or equivalent experience.
-
3+ years of hands-on experience building NLP, IR, or ML systems from ideation to deployment.
-
Strong software engineering foundation and prototyping skills.
-
Proven ability to translate research into impactful, production-level solutions.
-
Excellent collaboration and communication skills across diverse, cross-functional teams.
-
Demonstrated success applying novel IR or NLP models to real-world challenges.
-
Experience thriving in fast-paced, agile environments with evolving requirements.
Technical Qualifications
-
Deep understanding of classical machine learning and modern deep learning approaches for NLP (e.g., transformer architectures).
-
Familiarity with large language models (LLMs) and their underlying mechanisms.
-
Hands-on experience with Generative AI concepts, including prompt engineering, in-context learning, and function calling.
-
Experience implementing RAG frameworks, fine-tuning or pre-training language models, and curating training data.
-
Practical experience using agentic frameworks (e.g., LangGraph, AutoGen, Semantic Kernel) to build intelligent applications.
-
Proficiency in Python, Git, and cloud environments such as AWS or Azure.
-
Experience with lightweight UI development, rapid prototyping, and agile iteration.
Preferred Qualifications
-
5+ years of practical experience building IR, ML, or NLP systems in academia or industry.
-
Background in search, question answering, or document summarization for large-scale datasets.
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Experience building AI-driven solutions for document-heavy domains (e.g., legal, financial, or compliance).
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Publication record at leading research venues (ACL, EMNLP, NAACL, NeurIPS, ICML, SIGIR, etc.).
To Apply for this Job Click Here
Lead Data Scientist
Birmingham
£100000 - £150000
+ Data Science & AI
PermanentBirmingham, West Midlands
To Apply for this Job Click Here
Lead Data Scientist (3 days onsite) – Travel Required
Join a forward-thinking consultancy that’s been redefining the industry for over a decade. Operating across sectors such as Defence, Retail, Government, and Healthcare, the firm delivers cutting-edge Data Science and Machine Learning solutions that drive measurable transformation. By blending strategic insight with deep technical expertise, they empower organizations to turn ambitious ideas into meaningful, data-driven impact.
What You’ll Do
- Lead the end-to-end delivery of data science and machine learning projects, from discovery to deployment.
- Shape and execute data science strategies that directly support client objectives and organizational growth.
- Design and implement custom algorithms and models to solve complex business challenges and generate tangible value.
- Stay ahead of the curve in AI and ML innovation, identifying opportunities to integrate emerging technologies into client solutions.
- Partner with business development teams to support proposals, present solutions, and uncover new consulting opportunities.
Please note, this role will require travel across the UK to client site
To Apply for this Job Click Here
Principal Data Scientist
London
£130000 - £150000
+ Data Science & AI
PermanentLondon
To Apply for this Job Click Here
Principal Data Scientist
Up to £150,000
London (3 days onsite per week – client travel)
Company:
Join a management consultancy that has been disrupting the industry for over a decade. They work across sectors including Defence, Retail, Government, and Healthcare, delivering bespoke Data Science and Machine Learning solutions. By combining strategy, innovation, and execution, they help organizations turn bold ideas into real-world impact
Responsibilities:
- Own the end-to-end delivery of complex data science and machine learning projects
- Define and drive data science strategies that align with client goals and broader organizational objectives.
- Develop tailored models and algorithms to solve unique client problems to deliver real business value.
- Stay at the forefront of AI/ML trends and emerging technologies, identifying opportunities to apply new techniques and tools.
- Support business development by contributing to proposals, pitching solutions, and identifying new areas for consultancy services.
Requirements:
- MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields.
- Strong communication skills, with the ability to work effectively in a fast-paced, collaborative environment.
- Ability to translate business problems into analytical solutions using advanced modelling techniques.
**Please note that this role does not offer visa sponsorship**
To Apply for this Job Click Here
Lead Data Scientist
London
£80000 - £100000
+ Data Science & AI
PermanentLondon
To Apply for this Job Click Here
Lead Data Scientist
Up to £100,000
London (3 days onsite per week – client travel)
Company:
Join a management consultancy that has been disrupting the industry for over a decade. They work across sectors including Defence, Retail, Government, and Healthcare, delivering bespoke Data Science and Machine Learning solutions. By combining strategy, innovation, and execution, they help organizations turn bold ideas into real-world impact
Responsibilities:
- Own the end-to-end delivery of complex data science and machine learning projects
- Define and drive data science strategies that align with client goals and broader organizational objectives.
- Develop tailored models and algorithms to solve unique client problems to deliver real business value.
- Stay at the forefront of AI/ML trends and emerging technologies, identifying opportunities to apply new techniques and tools.
- Support business development by contributing to proposals, pitching solutions, and identifying new areas for consultancy services.
Requirements:
- MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields.
- Strong communication skills, with the ability to work effectively in a fast-paced, collaborative environment.
- Ability to translate business problems into analytical solutions using advanced modelling techniques.
**Please note that this role does not offer visa sponsorship**
To Apply for this Job Click Here
Data Scientist
London
£600 - £600
+ Data Science & AI
ContractLondon
To Apply for this Job Click Here
Contract Opportunity: Lead Data Scientist (Image-Based Predictive Modelling)
Location: London / Hybrid / Remote
Day Rate: Up to £600/day (Inside or Outside IR35)
Contract Length: Initial 5 weeks (very strong extension potential)
Start Date: Within 1-2 weeks
Industry: Financial Services (Marketing Analytics Project)
Interview Slots Available This Week – Fast Turnaround
About the Company
Join a specialist data and analytics consultancy working with major financial services organisations. You’ll be part of a high-performing, agile squad that owns delivery end-to-end. The environment is innovative, outcome-focused, and ideal for individuals who enjoy solving commercially impactful problems with autonomy.
The Opportunity
This is a hands-on Lead Data Scientist role where you’ll take ownership of an existing project focused on predicting customer engagement from marketing images. Your goal: build and deploy a model that forecasts click-through rates and explains why certain images drive better performance.
What You’ll Be Doing
✅ Build and refine a predictive model using image data & historical engagement metrics
✅ Identify which image characteristics (colour, objects, themes) influence customer behaviour
✅ Implement explainability (e.g. SHAP, feature importance)
✅ Build a simple internal UI (Dash, Streamlit, or Flask) for stakeholders to explore insights
✅ Present findings and guide technical decision-making internally
✅ Enable deployment teams to operationalise your solution
What Success Looks Like
By the end of the initial engagement you will have delivered:
– A working predictive model
– Clear explainability on what drives user clicks
– A functional internal tool for non-technical stakeholders
– Documentation and guidance for productionisation
Required Skills
Must-Have:
-
Expert-level Python (Pandas, modelling libraries such as Scikit-learn)
-
SQL
-
AWS cloud experience
-
Proven end-to-end ownership of data science solutions
-
Model explainability (SHAP, LIME, feature importance)
-
Ability to build simple dashboards or web apps (Streamlit, Dash, or Flask)
Nice-to-Have:
-
Experience working with image data
-
Exposure to marketing analytics or customer behaviour modelling
To Apply for this Job Click Here
Machine Learning Engineer
€60000 - €61000
+ Data Science & AI
PermanentNetherlands
To Apply for this Job Click Here
Machine Learning Engineer – Executive Search Firm
Amsterdam Zuid
€60,000-€65,000 + holiday allowance
Hybrid (3 days in-office per week)
Join one of the world’s most respected executive search firms, with over 70 offices globally. Known for its high-performing, polished environment and commitment to excellence at board and senior leadership levels, this organisation is expanding its data and research capabilities to better understand what makes leadership teams successful.
The Role
We’re looking for a Machine Learning Engineer to help bring cutting-edge ideas and algorithms to life. Reporting directly to Febo, you’ll work closely with the Data Science & Data Architecture team.
Your focus will be on building and developing the firm’s data warehouse and enabling the data science team to turn research into scalable, real-world tools. This is a hands-on, development-driven position – ideal for someone who wants to see their technical work make a direct impact.
Key Responsibilities
- Build and optimise data pipelines and data models to support research and leadership analytics
- Translate technical requirements into practical, high-quality specifications
- Develop and deploy machine learning models end-to-end
- Collaborate with data scientists, researchers, and architects to bring algorithms to production
- Maintain strong communication with cross-functional teams to ensure alignment between technical and business goals
- Work on LLM models
About You
- Strong experience with Python, TensorFlow, and/or PyTorch
- Hands-on knowledge of SQL and experience building data models and data warehouses
- Exposure to AWS (not essential, but a plus)
- Background in machine learning and end-to-end pipeline development
- Excellent communication skills – comfortable working with both technical and non-technical stakeholders
- Ideally some experience from a consultancy or similarly fast-paced, analytical environment
What’s in It for You
- Salary of €60,000-€65,000 + holiday allowance
- Opportunity to shape the future of leadership analytics in a globally respected firm
- Collaborative, international environment with exposure to cutting-edge AI and data science projects
- Hybrid setup: 3 days per week in the Amsterdam Zuid office, minimum 1 day required
Interview Process
3 stages designed to assess both technical capability and cultural fit.
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
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With over 10 years experience working solely in the Data & Analytics sector our consultants are able to offer detailed insights into the industry.
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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 – 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 – 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 – 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
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 /
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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 /
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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.
