Data Scientist

Data Scientist (9-Month Fixed Term Contract) Location: Hybrid (Bristol, London, or Edinburgh) Contract Type: Fixed Term Contract Overview Our client is seeking a Data Scientist to join their Data Science and Analytics team on a 9-month fixed term contract. This role will focus on applying advanced data science and modelling techniques to address key business and customer challenges, with a particular focus on identifying and preventing potential misuse within customer schemes. The successful candidate will work closely with stakeholders across multiple business areas, providing actionable insights to support data-driven decision-making. Key Responsibilities • Build machine learning models to provide insights into customer behaviour, including scheme misuse, electric vehicle adoption, and affordability. • Apply statistical methods (e.g., regression, hypothesis testing) to analyse customer behaviour and preferences. • Create dashboards that communicate insights and highlight customer behaviour trends. • Use Natural Language Processing (NLP) techniques such as sentiment analysis and topic modelling to analyse customer research data. • Clearly explain modelling processes, assumptions, and methodologies to technical and non-technical stakeholders. • Support ad hoc requests for customer insights and data analysis across the business. Candidate Profile Minimum Requirements • Degree in Applied Statistics, Data Science, Mathematics, or a related field. • Strong experience in applying machine learning to structured and unstructured data. • Proficiency in Python and SQL. • Experience working with cloud-based data stores such as Snowflake. • Proven analytical problem-solving skills. Ideal Skills & Experience • Hands-on experience with machine learning model development and implementation. • Familiarity with platforms such as AWS Sagemaker. • Strong stakeholder management and the ability to communicate effectively with technical and non-technical audiences. • Demonstrated examples where insights and analysis influenced business outcomes. Working Environment • Hybrid working model with the option to work remotely up to two days per week. • Collaboration with colleagues across data science, analytics, insurance, repairs, commercial operations, and customer services teams. Benefits Our client offers a competitive benefits package, which may include: • Competitive salary and annual discretionary bonus. • 15% non-contributory pension (reduced during probation). • 28 days annual leave, with the option to buy or sell days. • Private medical insurance. • Life assurance (4x basic salary). • Electric/Hybrid car salary sacrifice scheme and Cycle-to-Work scheme. • Funded health screening for over 50s. • Employee discounts and wellbeing support apps. • Generous family leave policies. • Voluntary benefits such as dental insurance, critical illness cover, and discounted gym memberships. • One day per year allocated for volunteering. Inclusion & Accessibility Our client is committed to building a diverse and inclusive workplace, where employees are empowered to bring their full selves to work. Flexible and part-time working requests are welcomed, and all offices provide accessible facilities. Salary Competitive How to Apply • To apply, please submit your CV. A member of the recruitment team will be in touch should your application meet the requirements of the role.