Data Scientist
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Role details
Tech stack
Job description
Looking to combine hands-on data science with client-facing analytics projects? This is an opportunity to join a well-established data and analytics consultancy where you’ll work on predictive modelling projects, collaborate directly with clients, and help turn complex datasets into actionable business outcomes. You’ll have exposure to a broad range of industries and the chance to influence both project delivery and the development of data-driven products., Their teams work across analytics, data science and product development, using modern cloud technologies and large-scale datasets to solve business challenges and create measurable value for clients., As a Data Scientist, you will:
- Build and refine predictive models, including propensity and customer behaviour models
- Work closely with clients to understand business problems and define analytical approaches
- Lead and contribute to data discovery sessions with business stakeholders and subject matter experts
- Analyse large datasets to identify trends, patterns and opportunities
- Present findings, recommendations and model outputs to both technical and non-technical audiences
- Prototype and test new analytical approaches using modern data science tools and techniques
- Contribute to the optimisation and ongoing improvement of deployed models
- Support the development of scalable data products and analytical solutions
Requirements
- Strong commercial experience using Python and SQL
- Experience building, training and improving machine learning or predictive models
- Ability to analyse complex datasets and translate findings into business insight
- Databricks experience would be highly advantageous
- Experience working with large transactional, behavioural or customer datasets
- Consulting, agency or client-facing analytics experience is beneficial
- Strong communication skills with the ability to engage both technical and non-technical audiences
Skills
- Python
- SQL
About the company
They are a leading data and analytics consultancy that combines proprietary data assets with advanced analytical expertise to help organisations make better decisions. Operating across a range of sectors including utilities, telecommunications, financial services and the not-for-profit space, they deliver solutions that blend data, technology and commercial insight.
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