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 Science Manager
Canada
$170000 - $220000
+ Data Science & AI
PermanentCanada
To Apply for this Job Click Here
Data Science Manager
Location: Canada | EST Hours Required
Salary: $175-220k base + bonus
We’re partnering with a high-growth product company to hire a Data Science Manager to both ship production ML systems and build a high-performing team.
This is a true player-coach role: you’ll stay hands-on with modeling and system design while setting technical direction, hiring, and mentoring data scientists. The expectation is clear: deliver models that move retention, conversion, and revenue.
You’ll join a small, autonomous data science team with impact across Product, R&D, Finance, and GTM. The team builds customer-facing data products such as recommendation systems, churn models, and experimentation frameworks that influence how millions of users discover value.
It’s startup-level ownership with the scale and data of a large, active user base.
What You’ll Do
- Design and ship recommendation engines, churn models, and experimentation infrastructure, staying hands-on in code as the team scales
- Define success metrics, monitor production models, and iterate until business results improve
- Hire, coach, and develop data scientists; set a high bar for ownership, craft, and impact
- Partner closely with Product, R&D, Finance, and GTM to identify high-leverage problems and deliver adopted solutions
- Make pragmatic decisions around tooling, architecture, and methodology, balancing speed with long-term maintainability
What We’re Looking For
- 6+ years building and deploying consumer-facing ML systems in production
- 2+ years leading or managing data scientists or ML engineers
- Experience building teams, not just operating as an IC
- Strong Python skills
- Experience with Databricks or similar ML platforms
- Comfort across the full ML lifecycle: experimentation, feature engineering, training, deployment, monitoring
- Proven ability to translate ambiguous business problems into measurable ML outcomes
- Strong bias toward shipping, iteration, and impact
- Sound judgment on when to ship an MVP vs. invest in robustness
- Actively uses AI tools to accelerate development and expects the same from their team
Nice to Have
- Experience with experimentation platforms or causal inference
- Background in subscription or SaaS businesses
- Familiarity with TypeScript or production engineering practices
To Apply for this Job Click Here
Head of Data Science
Leicester
£100000 - £130000
+ Data Science & AI
PermanentLeicester, Leicestershire
To Apply for this Job Click Here
Head of Data Science
Leicester – Up to £130,000 plus benefits
This is a rare opportunity to lead the data science function for a leading ecommerce organisation that places data at the centre of its customer and commercial strategy. You will shape the vision, build the road-map, and drive the adoption of advanced data products that power exceptional digital experiences.
The Company
They are a retailer with a strong focus on using data to innovate, optimise, and enhance customer engagement. Working in a modern, product‑driven environment, they invest heavily in analytics, experimentation, and intelligent automation. As they continue to expand, they are strengthening their data leadership to accelerate their digital transformation.
The Role
You will lead the development of data architecture, models, analytics, and reporting that support key digital products and customer journeys. Your work will elevate performance across areas including:
* Strategic leadership, owning and driving the data science roadmap
* Digital advertising platforms
* Product search and recommendation engines
* Personalisation across web, email, and marketing
* Data‑driven commercial optimisation
Your Skills and Experience
* Strong commercial experience delivering data science solutions in digital or ecommerce environments
* Proven ability to set data science strategy and influence senior stakeholders
* Expertise in designing and scaling machine learning models, including agentic or automation‑driven approaches
* Strong understanding of data architecture, experimentation, and analytics for digital products
* Experience leading and developing data science teams
What They Offer
* Salary up to £130,000 plus benefits
* The autonomy to set the data science vision for a high‑growth digital business
* Clear progression opportunities as the data function continues to scale
* A modern, collaborative environment with strong investment in data and technology
How to Apply
If you are interested in this role, please apply using the link below!
To Apply for this Job Click Here
Head of Data Science
£100000 - £130000
+ Data Science & AI
PermanentEast Midlands
To Apply for this Job Click Here
Head of Data Science
A leading ecommerce organisation is seeking an exceptional Head of Data Science to define and deliver the data vision across a fast‑growing digital environment. This is a high‑impact leadership role focused on converting rich datasets into commercial advantage and world‑class customer experiences.
About the role:
You will lead the development of data architecture, models, analytics and reporting that underpin key digital products and customer journeys. Your work will accelerate performance across areas such as:
- Digital advertising platforms
- Product search and recommendation engines
- Personalisation across web, email, and marketing
- Data‑driven commercial optimisation
Responsibilities:
- Strategic Leadership; owning and driving the data science roadmap
- Lead the design and architecture of agentic models
- Influence decision making across the business
- Partner with senior leaders to set long-term strategy
- Lead & Develop a high-performing data science team
To Apply for this Job Click Here
Principal Data Scientist
London
£85000 - £125000
+ Data Science & AI
PermanentCity of London, London
To Apply for this Job Click Here
Principal Data Scientist – Consulting
Travel Required
We are seeking a number of Data Scientists to apply AI, data science, and advanced analytics to tackle complex real-world problems, owning end-to-end solutions from concept to embedded delivery-working in agile, multi-disciplinary teams to create lasting impact.
What you’ll do:
- Identify and deliver high-impact AI, analytics, and digital solutions from concept to operation.
- Lead end-to-end design and delivery of digital and machine learning products.
- Inspire multi-disciplinary teams across technology, process, and people.
- Set technical best practice and translate complex ideas for non-technical audiences.
- Stay current with emerging technologies and apply them pragmatically.
- Mentor colleagues and work closely with clients to embed lasting change.
Skills:
- Deep expertise in AI, data science, advanced analytics, or digital engineering.
- Proven experience delivering production-ready digital or ML solutions.
- Strong capability with modern languages, data platforms, and cloud tools.
- Ability to integrate technology into real-world business processes.
- Confident leader and collaborator with excellent communication skills.
- Client-focused, analytical, and adaptable, with a strong learning mindset.
To Apply for this Job Click Here
Lead Data Scientist
Leicester
£60000 - £75000
+ Data Science & AI
PermanentLeicester, Leicestershire
To Apply for this Job Click Here
Lead Data Scientist (Marketing)
1-2 days in East Midlands (travel expensed)
We are working with a leading ecommerce company who are looking to add a Lead Data Scientist to their Marketing Sciences Team. The role will involve leadership and management of 3 junior members and will work within with internal and external marketing teams to forecast ROI on ads and campaigns.
Requirements:
- Strong communication and leadership skills
- Strong Python & SQL skills
- Experience in a marketing or customer focused domain
- Experience across MMMs, Attribution, Propensity, Segmentation, Churn, Channel optimisation, Campaign Analysis
To Apply for this Job Click Here
Data Scientist – LLM
Chicago
$120000 - $170000
+ Data Science & AI
PermanentChicago, Illinois
To Apply for this Job Click Here
Data Scientist (LLM)
Location: Chicago
Salary: Up to $170,000 + Benefits
An exciting opportunity has arisen for a Data Scientist to join a global SaaS organization that is transforming decision-making across a critical sector. With thousands of clients worldwide, this company is dedicated to delivering innovative solutions that drive measurable impact and operational efficiency.
The Role
The successful candidate will join a high-performing Analytics & Insights team, responsible for building predictive models and intelligent data pipelines that enable data-driven strategies. This position plays a key role in shaping product development and improving customer outcomes.
Key Responsibilities:
- Develop advanced statistical models and machine learning algorithms for predictive analytics and forecasting.
- Extract, clean, and transform complex datasets using SQL, Python, and modern ETL frameworks.
- Design and implement experiments to validate product impact and optimize outcomes.
- Collaborate with engineers, product managers, and domain experts to translate business challenges into data solutions.
- Implement monitoring and validation tools to ensure data quality and reliability.
What They’re Looking For
- Mid-level experience in data science or machine learning, ideally within SaaS or a data-driven industry.
- Proven track record of building and deploying end-to-end data solutions.
- Strong knowledge of statistical analysis, regression, time-series forecasting, clustering, and experimental design.
- Hands-on experience with SQL, Python (or R), and distributed data technologies (e.g., Spark, Hadoop, Kafka, or cloud platforms like AWS/GCP/Azure).
- Ability to troubleshoot and maintain scalable data workflows.
- A collaborative mindset and passion for using data to drive impact.
To Apply for this Job Click Here
Senior Data Scientist
Amsterdam
€70000 - €95000
+ Data Science & AI
PermanentAmsterdam, North Holland
To Apply for this Job Click Here
Senior Data Scientist
Amsterdam
Salary up to 95k including holiday allowance + Bonus
This is an exciting opportunity to join a growing data and innovation function shaping the future of leadership analytics. You will work at the intersection of AI, behavioural science, and organisational psychology, developing new approaches that help organisations understand people and leadership more effectively.
The Company
They are a globally recognised advisory organisation with an established reputation in executive search, research, and leadership insights. Their data capability is expanding, and they are investing in advanced analytics to deepen understanding of leadership behaviour and team dynamics. You will join a collaborative environment that values curiosity, evidence-based thinking, and innovation.
The Role
* Develop and deploy advanced analytics and AI solutions for leadership advisory projects.
* Identify opportunities to apply machine learning and generative AI across consulting, analytics, and research initiatives.
* Build and validate models using psychological, behavioural, and qualitative data.
* Apply NLP techniques to extract insights from interviews, assessments, and narrative data.
* Contribute to exploratory work that shapes future data-driven products.
* Partner with cross-functional teams across analytics, research, and innovation.
Your Skills and Experience
* Strong capability in machine learning, AI, and applied data science.
* Proficiency in Python, R, and modern ML frameworks such as TensorFlow or PyTorch.
* Experience working with NLP, generative AI, or Bayesian modelling.
* Ability to apply analytics in human-centred domains such as leadership, behaviour, or organisational dynamics.
* Comfortable with exploratory work and translating complex data into clear insights.
* Collaborative communicator with an interest in behavioural or organisational science.
What They Offer
* Base salary up to 95k including holiday allowance, with flexibility based on experience.
* Hybrid working model with three days per week on-site in Amsterdam.
* Opportunity to shape exploratory AI and leadership analytics projects.
* Exposure to multidisciplinary teams spanning data science, psychology, and innovation.
* A strategic, high-impact position in a respected global advisory environment.
How to Apply
If you are interested in this Senior Data Scientist position in Amsterdam, please apply with your CV to discuss the role in more detail.
To Apply for this Job Click Here
Data Scientist
€60000 - €61000
+ Data Science & AI
PermanentNetherlands
To Apply for this Job Click Here
Data Scientist
Harnham The Randstad, Netherlands (On-site)
Save
Apply
Job Title: Data Scientist – Model Production
Location: Eindhoven
Type: Full-Time
About the Company:
A leading media and marketing organization are seeking a Data Scientist to join its internal team. The company is focused on leveraging data and AI to drive scalable, business-critical solutions and deliver measurable outcomes across multiple industries.
Role Overview:
The Data Scientist will focus on productionizing machine learning models, transforming prototypes into robust, scalable systems that support key business operations. The role is central to embedding AI and data-driven insights into the company’s processes, working closely with internal teams to maximize impact.
Key Responsibilities:
- Collaborate with internal stakeholders to identify opportunities for machine learning applications.
- Develop, deploy, and maintain machine learning models in production environments.
- Optimize and monitor models to ensure performance, scalability, and reliability.
- Implement best practices in MLOps, version control, and model lifecycle management.
- Integrate models into operational systems alongside engineering and analytics teams.
- Document workflows, code, and methodologies to ensure maintainability and reproducibility.
Requirements:
- Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or a related field.
- Proven experience in deploying machine learning models in production.
- Proficiency in Python or a similar language, and experience with ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
- Familiarity with MLOps tools and practices, including Docker, Kubernetes, and CI/CD pipelines.
- Strong understanding of data pipelines, ETL processes, and cloud platforms (AWS, GCP, Azure).
- Excellent problem-solving skills and the ability to work collaboratively in a fast-paced environment.
Preferred:
- Experience working with large-scale media or marketing datasets.
- Knowledge of advanced ML techniques such as recommendation systems, NLP, or predictive analytics.
Why Join:
- Opportunity to work on high-impact projects that directly influence business strategy.
- Exposure to cutting-edge AI and data-driven solutions within a global organization.
- Collaborative, inclusive, and innovative culture that encourages continuous learning.
Application:
Interested candidates are invited to submit a CV and brief cover letter highlighting experience with production ML systems to [email/contact].
To Apply for this Job Click Here
Principal Data Scientist
$85 - $120
+ Data Science & AI
ContractNew York
To Apply for this Job Click Here
Job Title: Principal Data Scientist
Position Overview
We are seeking a Principal Data Scientist who can operate as both a technical expert and a strategic advisor to client leadership. This role requires strong consulting skills, deep forecasting and AI/ML expertise, and hands-on experience building, refining, and productionalizing models in AWS SageMaker. The individual will take ownership of the client’s in‑flight forecasting model, finalize and deploy it, and continue supporting additional modeling efforts-including advising on the Sales Agent evolution roadmap.
Key Responsibilities
Consulting & Advisory
- Serve as the primary Data Science advisor to the client team, including newly onboarded leaders.
- Translate complex modeling concepts into clear, actionable recommendations for business stakeholders.
- Proactively guide solution direction, challenge assumptions, and bring creative problem‑solving approaches.
- Partner cross‑functionally to align on model requirements, performance expectations, and roadmap priorities.
Forecasting & Model Development
- Take ownership of an existing forecasting model and retrain it using a newly defined categorization framework.
- Build, refine, and evaluate model ensembles and multi‑series forecasting approaches using a single unified model.
- Conduct iterative experimentation, error analysis, and non‑traditional modeling techniques to resolve performance issues.
- Perform feature engineering, model tuning, backtesting, and diagnostics to enhance stability and accuracy.
ML Engineering & Deployment
- Convert exploratory Jupyter notebooks into structured, production‑ready Python scripts.
- Build, maintain, and deploy ML pipelines using AWS SageMaker, including training, evaluation, and inference workflows.
- Apply best practices in pipeline orchestration, versioning, CI/CD, and model monitoring.
- Partner with engineering/MLOps resources to ensure reliable and scalable deployment of forecasting solutions.
Future Modeling & Strategic Support
- Continue enhancing forecasting capabilities as new data and business priorities emerge.
- Work on additional models beyond forecasting as part of broader client initiatives.
- Provide technical and strategic input into the Sales Agent evolution, including modeling approaches, experimentation strategy, and capability scaling.
Required Skills & Experience
- 5-8+ years of experience in Data Science, Machine Learning, or related quantitative fields.
- Strong consulting and stakeholder‑facing communication skills; ability to operate as a trusted advisor.
- Expertise in:
- Forecasting and time‑series modeling
- Model ensembles and multi‑series forecasting approaches
- Iterative, experimental error analysis techniques
- Hands-on experience with:
- AWS SageMaker (model development, pipeline automation, deployment)
- Python for production‑level code development
- Converting Jupyter notebooks into modularized .py scripts
- Demonstrated problem-solving ability beyond standard ML workflows.
- Ability to independently navigate ambiguous business requirements and drive technical decisions.
Preferred Qualifications
- Experience with resource planning, workforce management, or operational forecasting.
- Background supporting sales, service, or contact‑center analytics initiatives.
- Familiarity with large‑scale ML operations, data engineering, and model lifecycle management in cloud environments.
Core Competencies
- Trusted Advisor Mindset
- Creative, Non‑linear Problem Solving
- Strong Communication & Influence
- Technical Leadership
- Adaptability in Fast‑Moving Environments
- Ownership & Accountability
**DO NOT REACH OUT UNLESS YOU ARE A CANDIDATE APPLYING FOR THIS ROLE. NO THIRD PARTIES WILL BE UTILIZED FOR THIS SEARCH**
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
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We understand the challenges our
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recruitment solutions needed to drive
business success through Data &
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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
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
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!
