Data Scientist
Role 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
