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!
Lead Data Analyst
€60000 - €100000
+ Data Science & AI
PermanentNederland
To Apply for this Job Click Here
Lead Data Analyst – Contract
Job Title: Lead Data Analyst (12-Month Fixed-Term Contract)
Location: Amsterdam
Contract: 12-month fixed-term contract
Start Date: Mid January
About the Role
We are seeking an experienced Lead Data Analyst to join our team on a 12-month fixed-term contract. This role will play a key part in delivering data-driven insights across the business, with a strong focus on pricing analysis and performance. You will lead analytical initiatives, working closely with commercial, sales, and finance teams to support pricing strategy and decision-making through high-quality reporting and analysis.
You will be hands-on with Looker, Salesforce, SQL, and Python, and will act as a technical lead, setting best practices and guiding other analysts where required.
Key Responsibilities
- Lead the design, development, and maintenance of dashboards and reports using Looker, including pricing and revenue performance dashboards
- Analyse and model data from Salesforce and pricing systems to support pricing strategy and optimisation
- Deliver insights on pricing performance, discounting, margin, and revenue trends
- Write efficient and well-structured SQL queries to extract and transform data
- Use Python for advanced pricing analysis, forecasting, automation, and data processing
- Partner with commercial, sales, and finance stakeholders to understand pricing requirements and translate them into actionable insights
- Ensure data accuracy, consistency, and governance across pricing and commercial reporting
- Provide technical leadership and mentoring to other analysts
- Contribute to continuous improvement of analytics tools, processes, and documentation
Skills & Experience
- Proven experience as a Senior or Lead Data Analyst
- Strong expertise in Looker (dashboarding, LookML preferred)
- In-depth experience working with Salesforce data
- Advanced SQL skills
- Practical experience using Python for data analysis
- Experience delivering pricing, commercial, or revenue analytics
- Strong stakeholder management and communication skills
- Ability to work independently and deliver within a fixed-term contract environment
Desirable
- Experience with pricing models, discount structures, or revenue optimisation
- Exposure to cloud data warehouses (e.g. BigQuery, Snowflake, Redshift)
- Previous experience leading or mentoring analysts
What We Offer
- A key leadership role with ownership of pricing and commercial analytics
- Opportunity to make a tangible impact within a 12-month period
- Competitive day rate or salary (depending on contract structure)
- Flexible working options
To Apply for this Job Click Here
Senior Data Scientist
London
£70000 - £100000
+ Data Science & AI
PermanentLondon
To Apply for this Job Click Here
Senior Data Scientist
London – (3 days a week in office)
Up to £100,000
About the Role
Our client is an data-driven organisation focused on delivering measurable operational and financial improvements across a range of industries. They bring together expertise across data, technology and delivery to build and deploy advanced analytics solutions that have real-world impact.
As a Data Scientist, you’ll work closely with cross-functional teams to design, build and productionise data science and analytics products within client environments. Your work will be directly tied to value creation, helping organisations make smarter, data-driven decisions.
Key Responsibilities
- Understanding business challenges and translating them into value-linked data science solutions.
- Working closely with data engineers to define data requirements and pipelines.
- Performing exploratory data analysis and recreating key business KPIs.
- Feature engineering in collaboration with machine learning engineers, ensuring production-ready standards.
- Developing, deploying and maintaining machine learning models.
- Evaluating project impact through experimentation and A/B testing.
Your work will focus on delivering high-value insights and solutions, including:
- Building optimisation models to improve efficiency and throughput.
- Developing predictive models to reduce risk and prevent downtime.
- Designing churn prediction strategies to improve customer retention.
- Identifying next-best actions to support sales and commercial teams.
- Applying geospatial modelling to optimise footprint and location strategy.
What We’re Looking For
- At least 2+ years’ experience applying data science to deliver commercial impact.
- A strong academic background (Bachelor’s degree 2:1 or above in a quantitative subject).
- Strong Python skills (Pandas, NumPy, Scikit-learn or similar).
- A collaborative mindset with excellent communication skills.
- Experience working in cross-functional teams delivering production-ready solutions.
If this role looks of interest, apply below.
To Apply for this Job Click Here
Data Scientist
London
£90000 - £110000
+ Data Science & AI
PermanentLondon
To Apply for this Job Click Here
Data Scientist
Up to £110,000
London (Hybrid, 4 days onsite per week)
About the role:
Join a leading corporate venture capital firm, within the secondaries space who invest and partner with start-ups across multiple industries, helping them scale and achieve global impact.
Key Responsibilities:
- Collaborate with the deal team to pinpoint where data science can add value to the investment process.
- Create data tools and dashboards to support investment decisions and portfolio monitoring.
- Analyse large datasets to derive actionable insights for investment strategies, effectively communicating these to senior stakeholders.
- Work with the VP of Data and the investment team to improve data solutions.
- Proactively investigate new data science methodologies and technologies to benefit team objectives.
What We’re Looking For:
- MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields.
- Strong coding skills in Python and SQL
- Strong communication skills, with the ability to work effectively in a fast-paced, collaborative environment
**Please note that this role does not offer visa sponsorship**
To Apply for this Job Click Here
ML Ops Engineer
Amsterdam
€60000 - €65000
+ Data Science & AI
PermanentAmsterdam, North Holland
To Apply for this Job Click Here
Job Opportunity: MLOps Engineer (Full-Lifecycle) | Early-Stage Startup
Location: Remote or Hybrid (HQ in [City])
Role Type: Full-Time
Start Date: ASAP
About the Company
The company is a small, fast-moving startup building [short description of product/mission]. With a lean, collaborative team focused on delivering real value through AI, they are seeking an experienced MLOps Engineer to own and optimize their end-to-end machine learning pipeline as they scale.
The Role
As the company’s first dedicated MLOps hire, the successful candidate will be responsible for establishing and maintaining the full MLOps lifecycle-from data ingestion and experimentation to deployment, monitoring, and continuous optimization. They will work closely with ML engineers and the product team to ensure models move into production smoothly, reliably, and efficiently.
Responsibilities
- Designing, building, and maintaining scalable ML pipelines (training, validation, deployment).
- Developing CI/CD workflows for ML models and data pipelines.
- Implementing model and data versioning, lineage tracking, and reproducibility best practices.
- Managing infrastructure for training and inference (cloud, containers, orchestration).
- Building monitoring systems for data drift, model performance, and operational reliability.
- Optimizing cost, performance, and automation across the ML lifecycle.
- Collaborating with ML engineers to transition prototypes into production-ready systems.
- Promoting engineering excellence, documentation, and observability.
Qualifications
- 3+ years of industry experience in MLOps, ML Engineering, or DevOps for ML systems.
- Proven experience managing the full ML lifecycle in production environments.
- Strong experience with cloud platforms (AWS/GCP/Azure) and infrastructure-as-code tools (Terraform, CloudFormation).
- Hands-on expertise with containerization and orchestration (Docker, Kubernetes).
- Familiarity with ML pipeline tools (Kubeflow, Airflow, MLflow, Vertex AI, SageMaker, etc.).
- Strong programming skills in Python and experience with CI/CD tools (GitHub Actions, GitLab CI, etc.).
- Understanding of monitoring, tracing, alerting, and model observability tools.
- A startup mindset: autonomous, resourceful, and comfortable building systems from scratch.
What the Company Offers
- High ownership and the opportunity to shape the ML infrastructure from the ground up.
- A collaborative team culture that values creativity, speed, and experimentation.
- Competitive salary + equity package.
- Flexible work environment.
- A chance to have significant impact on a product used by real customers.
To Apply for this Job Click Here
Senior Data Scientist – Working with Behavioural Data and AI
Amsterdam
€60000 - €100000
+ Data Science & AI
PermanentNetherlands
To Apply for this Job Click Here
Senior Data Scientist – End-to-End Machine Learning & Behavioural Data
This organisation are seeking an experienced Senior Data Scientist to join their dynamic team. This role focuses on end-to-end productionising of machine learning models and leveraging behavioural data to drive actionable insights and innovative solutions.
The ideal candidate has a strong background in applied machine learning, including hands-on experience with Natural Language Processing (NLP), and is comfortable taking projects from concept through to production. They thrive in a collaborative environment, translating complex data into meaningful business outcomes and working closely with cross-functional teams to implement scalable solutions.
Key Responsibilities:
- Develop, deploy, and maintain end-to-end machine learning models, ensuring robust production performance.
- Analyse and derive insights from behavioural data to inform business decisions.
- Apply NLP techniques to extract value from text-based datasets.
- Collaborate with engineering and product teams to integrate models into live systems.
- Continuously monitor, evaluate, and optimise models to maintain accuracy, efficiency, and scalability.
Qualifications & Experience:
- Proven experience in end-to-end machine learning development and model deployment.
- Strong background in behavioural data analysis.
- Hands-on experience with NLP, including text preprocessing, embeddings, and relevant model architectures.
- Proficiency in Python and common ML libraries (e.g., scikit-learn, TensorFlow, PyTorch).
- Familiarity with cloud-based ML infrastructure and MLOps best practices.
- Excellent problem-solving skills and the ability to communicate complex findings to non-technical stakeholders.
To Apply for this Job Click Here
MMM Data Scientist Contractor
London
£500 - £600
+ Data Science & AI
ContractLondon
To Apply for this Job Click Here
Data Scientist Contractor
£500-600pd Outside IR35
3 months
We are working with a leading consultancy that is looking for an experienced Marketing Mix Modelling (MMM) Data Scientist to join on a contract basis. This role will focus on delivering robust marketing effectiveness and ROI insights for high-profile clients across multiple sectors.
The Role
As an MMM Data Scientist, you will play a key role in designing, building, and validating marketing mix models to inform strategic marketing decisions. You will work closely with consultants, client stakeholders, and analytics teams to translate complex data into clear, actionable recommendations.
Key Responsibilities
-
Design and build Marketing Mix Models to measure marketing effectiveness and ROI
-
Analyse large, complex datasets covering media spend, sales, and external factors
-
Apply statistical and econometric techniques to model impact and attribution
-
Use Python and/or R to develop, test, and deploy models
-
Use SQL to extract, transform, and analyse data from multiple sources
-
Support scenario planning, forecasting, and budget optimisation
-
Present insights and recommendations clearly to non-technical stakeholders
-
Collaborate with consulting teams to deliver high-quality client outputs
Required Skills & Experience
-
Proven experience as an MMM Data Scientist or Marketing Analytics Consultant
-
Strong understanding of marketing mix modelling, attribution, and causal inference
-
Hands-on experience with Python and/or R for statistical modelling
-
Strong SQL skills for data extraction and manipulation
-
Experience working with marketing and media data (digital & offline channels)
-
Ability to communicate complex analysis clearly and confidently
-
Experience working in a consulting or client-facing environment
-
Comfortable working as a contractor in fast-paced project settings
Nice to Have
-
Experience working with large brands or multi-market models
-
Familiarity with Bayesian MMM or advanced econometric approaches
-
Experience with cloud data platforms or marketing analytics tools
-
Background in retail, FMCG, tech, or financial services
To Apply for this Job Click Here
Pricing Optimisation Data Scientist
London
£600 - £700
+ Data Science & AI
ContractLondon
To Apply for this Job Click Here
Pricing Optimisation Data Scientist
£600-700 per day
Inside IR35
3 months
The Role
As a Pricing Optimisation Data Scientist, you will work closely with product, commercial, and engineering teams to design, build, and deploy pricing models. You will analyse large datasets, run experiments, and deliver actionable insights that directly impact business performance.
Key Responsibilities
- Develop and maintain pricing optimisation models using Python and SQL
- Analyse customer behaviour, demand elasticity, and price sensitivity
- Design and evaluate A/B tests and pricing experiments
- Build data pipelines and analytical datasets to support pricing decisions
- Translate complex analytical results into clear insights for stakeholders
- Collaborate with product managers and engineers to implement pricing changes
- Monitor pricing performance and continuously improve models
Required Skills & Experience
- Strong experience as a Data Scientist or Pricing Analyst in a commercial or tech environment
- Advanced SQL skills for querying and transforming large datasets
- Strong Python experience (e.g. pandas, numpy, scikit-learn, statsmodels)
- Solid understanding of pricing theory, optimisation, and experimentation
- Experience working with large-scale data in a fast-paced environment
- Ability to communicate insights clearly to non-technical stakeholders
- Proven experience working in a contract or project-based role (preferred)
Nice to Have
- Experience with dynamic pricing, revenue management, or marketplace pricing
- Familiarity with cloud data platforms (e.g. BigQuery, Snowflake, Redshift)
- Experience working in a high-growth tech or digital product company
For more information please click the apply link on this page
To Apply for this Job Click Here
Senior Data Scientist
Charlottesville
$95 - $115
+ Data Science & AI
ContractCharlottesville, Virginia
To Apply for this Job Click Here
Senior / Principal Data Scientist
Location: Charlottesville, VA
Employment Type: 12 Month Contract-to-hire
About Us
Our client is an engineering consultancy delivering advanced testing, analytics, and consulting services to organizations worldwide. Our mission is to leverage cutting-edge technology and data-driven insights to improve safety and performance in sports and related industries.
Role Overview
We are seeking a Senior / Principal Data Scientist to lead modeling and analytics initiatives across diverse domains, including:
- Computer Vision: Detect and interpret events from game video.
- Sensor Data Analysis: Event detection from athlete-worn devices.
- Generative AI: Develop solutions to deliver actionable insights to end users.
You will design and implement machine learning models, build simulation-based tools, and create dashboards that provide injury risk assessments and mitigation strategies. This role involves research, algorithm development, and presenting findings to executive stakeholders.
Key Responsibilities
- Develop and implement advanced machine learning models and algorithms.
- Build analytical tools and dashboards using frameworks like Shiny, Dash, or Streamlit.
- Collaborate with cross-functional teams to deliver actionable insights.
- Present research and analytics to leadership and clients.
Qualifications
- Education: MS or PhD in Computer Science, Statistics, or related STEM field.
- Strong understanding of machine learning theory and structure.
- Proficiency in Python or R and experience with common ML libraries.
- Experience with SQL/NoSQL databases and distributed processing.
- 5+ years of post-graduate experience in engineering, consulting, or leadership roles.
Preferred:
- Background in biomechanics or sports analytics.
- Publications or conference contributions in relevant fields.
- Experience with professional sports organizations.
- Consulting experience with executive-level presentations.
Ideal Candidate
You are passionate about applying data science to enhance athlete safety and performance. You thrive in collaborative environments and enjoy building innovative solutions that make a real-world impact.
To Apply for this Job Click Here
Sr Data Scientist
Charlottesville
$100 - $120
+ Data Science & AI
ContractUSA
To Apply for this Job Click Here
Sr Data Scientist
Harnham, the leading recruitment specialist in Data and AI is currently partnering with one of the leading Data consultancies in the US which dominates the risk sector across the Sports industry.
- Role – Sr Data Scientist
- Location – Remote
- Pay – $100 – 120 ph
- Length: 6 – 12 month initial contract (which potential conversion to full-time employee at the end)
- Utilization: 40 hrs per week
- Benefits:W2 employees are eligible to health, dental, vision, 401k benefits.
As a Sr Data Scientist you will be focused the majority of your time on building Data models, analysing risks & injuries across multiple sporting sectors in the US. You will get the opportunity to work on some of the most interesting & innovative models which has huge cultural impact globally.
You will be using ML to build Data Models including with VLMs and LLMs to assess the risk of injury to players through play & facilities to help the world of sport ensure the best players are playing, and not in the medical room.
Key Responsibilities:
- Building Data Models focused on injury assessment
- Work with Jr Data Scientists in the team to provide guidance and direction to their work and act as a technical lead
- Work with VLMs to assess impact of changes and environment to player welfare
- Use and utilize AI to build best-in-class models
Requirements:
- Degree in CompSci, Stats or STEM
- Strong ML experience
- Experience working with VLM inputs into data modelling in production
- Demonstrable production experience with Python
- AWS background
- Experience within the Sports sector or industry
This is an excellent opportunity for an individuals who want to work in the Sports sector and have a massive impact on the weekly culture of the USA through Data
To Apply for this Job Click Here
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Industry Hub
HARNHAM
News & Blog
With over 10 years experience working solely in the Data & Analytics sector our consultants are able to offer detailed insights into the industry.
Visit our Blogs & News portal or check out our recent posts below.
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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 – 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 – 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 – 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
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 – 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
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.
