2 of 2 Data Scientist Jobs in Leicestershire

Data Scientist - ICT & Digital Services Based : Hybrid working – initially during probationary period you will be required to work 3 days in the office at Memorial House in Coalville with 2 days working from home. Following the 6-month probationary period this will then change to an average of 2 days in the office at Memorial House in Coalville … to be agreed with line manager. Salary: £43,001 - £47,779 per annum (ICT RFJ 7) The role We are excited to announce that we are recruiting for a Data Scientist to leverage data analytics, drive insights and improve the quality and efficiency of our housing services! The successful candidate will work closely with various stakeholders to … extract, analyse and interpret complex data sets to inform decision-making and policy development. Reporting to the Insights Manager, you will present complex data using dashboards, visualisations and reports, ensuring accessibility to non-technical stakeholders. You will analyse the effectiveness of housing initiatives, schemes, and operational processes, offering recommendations for performance improvement. About you We are looking for More ❯

Product Data Scientist Location: Leicestershire - Hybrid (2 days in office) Salary: Up to £80,000 + benefits Start Date: ASAP The Company A fast-growing tech business at the forefront of digital products and services, with a mission-driven culture and an expanding data function. The company is entering an exciting scale-up phase and investing heavily … in analytics to improve customer experience, product strategy, and commercial performance. You'll join a collaborative team of data professionals who are shaping how the business uses data to drive decision-making. The Role As a Product Data Scientist , you'll sit at the heart of the product and analytics functions, using data to influence … senior stakeholders to uncover user behaviour, optimise features, and support decision-making through rigorous analysis. You'll also be a key voice in defining metrics, running experiments, and ensuring data quality across the business. Key Responsibilities Partner with product and engineering teams to identify opportunities and shape strategy through data-driven insights. Conduct deep-dive analyses into user More ❯