DATA
SCIENCE
JOBS &
CAREERS

Browse the latest Data Science Jobs and Data Scientist Jobs with Harnham, the global leader in finding Data and AI talent for their next data job.

DATA
SCIENCE
JOBS &
CAREERS

Browse the latest Data Science Jobs and Data Scientist Jobs with Harnham, the global leader in finding Data and Analytics talent for their next data job.

OVERVIEW

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

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?

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.

Harnham-IData-&-Technology
JOBS

LATEST DATA
SCIENCE JOBS

Harnham are a specialist Data Science recruitment business, specializing in finding you your next data science job!

Senior Data Scientist – Working with Behavioural Data and AI

Amsterdam

€60000 - €100000

+ Data Science & AI

Permanent
Netherlands

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

Senior Data Scientist

London

£70000 - £100000

+ Data Science & AI

Permanent
London

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

Permanent
London

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

MMM Data Scientist Contractor

London

£500 - £600

+ Data Science & AI

Contract
London

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

Contract
London

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

Contract
Charlottesville, 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

Contract
USA

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

QA Engineer – AI projects

Eindhoven

€60000 - €70000

+ Data Science & AI

Permanent
Eindhoven, North Brabant

To Apply for this Job Click Here

QA Engineer (AI & Machine Learning) – Healthcare Startup

Location: Eindhoven

Employment Type: Full-time

Salary: Competitive + Equity Options

About Us

We’re a fast-growing healthcare startup on a mission to transform how clinical decisions are made through the power of artificial intelligence. The AI-driven platform helps clinicians deliver faster, more accurate diagnoses – improving patient outcomes and saving lives.

They are now looking for a QA Engineer with a deep interest in AI systems and machine learning validation to join our passionate, cross-functional team.

The Role

As our QA Engineer, you’ll take ownership of the testing strategy and quality assurance process for our AI products – from data pipelines to model outputs and end-user interfaces. You’ll work closely with data scientists, ML engineers, and clinicians to ensure our algorithms are safe, robust, and trustworthy.

What you’ll do:

  • Design and implement automated and manual test frameworks for AI and ML components.
  • Develop evaluation protocols to assess model accuracy, fairness, and performance.
  • Validate data quality, preprocessing pipelines, and integration points with clinical systems.
  • Collaborate with regulatory and compliance teams to ensure testing meets healthcare and AI safety standards (e.g. MHRA, ISO 13485, GxP).
  • Build monitoring tools for post-deployment AI behaviour and model drift.
  • Champion a culture of “quality-first” within the product and engineering teams.

About You

You’re a detail-oriented QA professional who thrives on solving complex problems and believes in the power of AI to make healthcare better – but only if it’s built and tested responsibly.

You’ll bring:

  • 3+ years’ experience in software QA, with at least 1 year focused on AI, ML, or data-driven systems.
  • Solid understanding of Python, CI/CD pipelines, and test automation frameworks (e.g. PyTest, Robot Framework, or Cypress).
  • Experience testing data pipelines, APIs, and model inference endpoints.
  • Familiarity with AI metrics (precision, recall, ROC AUC, etc.) and validation methodologies.
  • Strong communication skills and the ability to collaborate with data scientists and clinicians alike.
  • Bonus: knowledge of healthcare data standards (FHIR, HL7) or regulatory frameworks for AI in medical devices.

Why Join Us

  • Be part of a mission-driven startup tackling one of healthcare’s biggest challenges.
  • Work on cutting-edge AI systems that directly impact patient care.
  • Flat hierarchy, open culture, and plenty of room to innovate.
  • Continuous learning opportunities – from ML explainability to regulatory AI testing.
  • Flexible hybrid/remote working setup.

To Apply for this Job Click Here

Data Scientist

Newcastle upon Tyne

£60000 - £70000

+ Data Science & AI

Permanent
Newcastle upon Tyne, Tyne and Wear

To Apply for this Job Click Here

Data Scientist – Fully Remote

We are working on a Data Science role with a leading FTSE100 company that are going through a major data transformation. They’ve built a strong Data Engineering foundation and are now expanding into advanced analytics and Data Science. This role is the first permanent Data Scientist in the team – a genuinely rare opportunity to shape what Data Science looks like from the ground up.

What You’ll Be Working On

  • A mix of traditional DS and cutting-edge AI/LLM work, including:
  • Building models and analytics to support commercial teams
  • Developing Q&A-style LLM tools inside Databricks
  • Exploring customer satisfaction and review data (e.g., identifying drivers behind quality scores)
  • NLP on large volumes of free-text data
  • Regression and hypothesis testing across product and operational data
  • Theme extraction from defect reports and customer feedback
  • Helping challenge assumptions with data-driven evidence

Tech Environment

  • Python & SQL
  • Machine Learning, statistical modelling, data manipulation
  • Cloud-first setup (Azure preferred; Databricks is widely used)
  • Exposure to LLMs or AI agents is extremely valuable

To Apply for this Job Click Here

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