Data Scientist

Harnham; Eindhoven; Hybrid; EUR 60,000 - 100,000; Full time

Benefits offered by this job

Hybrid working

Remote work within EU

Learning & development

Travel expenses covered

Health & wellbeing support

Generous holiday allowance

Job summary

Harnham in Eindhoven is seeking a Data Scientist to design, develop and deploy scalable machine learning models in a production environment. You will work with data scientists, engineers and product teams to turn complex datasets into measurable business value.

You will apply statistical methods, time series analysis and ML techniques, collaborate across teams, and contribute to data products that influence strategic decisions while embracing MLOps practices and modern cloud platforms.

Qualifications

• Strong commercial experience in Data Science, Machine Learning, or Statistical Modelling.
• Advanced Python programming skills and production-quality code.
• Strong knowledge of statistical modelling, regression techniques, and time series analysis.
• Experience developing and deploying machine learning models into production environments.
• Strong SQL skills and experience working with large data sets.
• Familiarity with MLOps concepts and model lifecycle management.
• Experience using version control tools such as Git.
• Ability to communicate technical concepts clearly to a range of stakeholders.
• Experience with cloud platforms, APIs, Bayesian modelling, or modern data platforms is advantageous.

Responsibilities

• Develop and maintain statistical and ML models in Python and production environments.
• Build predictive models, time series forecasts, and clustering models.
• Apply advanced statistics to solve business challenges.
• Deploy models into scalable production environments and support MLOps.
• Work with structured and unstructured data from multiple sources using SQL/NoSQL.
• Collaborate with Engineers and Product teams to enhance data products and capabilities.
• Translate business requirements into analytical solutions and communicate findings.
• Contribute to continuous improvement of modelling frameworks and standards.

Skills

Data Science

Machine Learning

Python

SQL

Git

Cloud platforms

Communication

Bayesian modelling

Tools

Python

SQL

Git

AWS/Azure

Job description

Are you passionate about building robust statistical models and seeing them make a real-world impact? This is an exciting opportunity to join a highly innovative data science team where you will develop scalable machine learning solutions, work with complex datasets, and contribute to data products that influence strategic decision-making

.
The Compa

nyThey are a leading organisation operating at the intersection of data, technology, and analytics. With a strong focus on innovation and AI-driven transformation, they invest heavily in building advanced data products and empowering their teams with the latest tools and technologie

s.Working within a collaborative environment, you will partner with Data Scientists, Engineers, and Product professionals to develop solutions that deliver measurable business value. They foster a culture of continuous learning, experimentation, and professional growt

h.
The R

oleAs a Data Scientist, you will play a key role in designing, developing, and deploying statistical and machine learning models within a production environme

nt.
Responsibilities incl

• ude:Developing and maintaining statistical and machine learning models in Pyt
• hon.Building predictive models, time series forecasting solutions, and clustering mod
• els.Applying advanced statistical methodologies to solve complex business challen
• ges.Deploying models into scalable production environments and supporting MLOps best practi
• ces.Working with structured and unstructured data from multiple sources using SQL and NoSQL technolog
• ies.Collaborating with Engineers and Product teams to enhance existing data products and create new capabilit
• ies.Translating business requirements into analytical solutions and communicating findings to technical and non-technical stakehold
• ers.Contributing to the continuous improvement of modelling frameworks, processes, and data science standa

rds.
Your Skills & Exper

• ienceStrong commercial experience in Data Science, Machine Learning, or Statistical Model
• ling.Advanced Python programming skills and experience writing production-quality
• code.Strong knowledge of statistical modelling, regression techniques, and time series anal
• ysis.Experience developing and deploying machine learning models into production environm
• ents.Strong SQL skills and experience working with large data
• sets.Familiarity with MLOps concepts and model lifecycle manage
• ment.Experience using version control tools such as
• Git.Ability to communicate technical concepts clearly to a range of stakehol
• ders.Experience with cloud platforms, APIs, Bayesian modelling, or modern data platforms is advantag

eous.What They

• OfferCompetitive salary pac
• kage.Hybrid working with flexible h
• ours.Opportunity to work remotely for periods within th
• e EU.Comprehensive learning and development programmes, including AI-focused trai
• ning.Clear progression opportunities within a growing data and analytics func
• tion.Generous holiday allow
• ance.Travel expenses cov
• ered.Health and wellbeing sup
• port.Additional allowances to support hybrid working arrangem