Full job description

Data Scientist - London 2 daysLooking 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.The CompanyThey 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.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.The RoleAs 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
Your Skills & Experience*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