2 of 2 Lead Data Scientist Jobs in Nottinghamshire

Lead Data Scientist (Equity Only) - Nottingham Job Details Client: Luupli Location: Nottingham, United Kingdom Job Category: Other EU Work Permit Required: Yes Job Description Luupli is a social media app 'in development' that aims to provide opportunities for diverse creators from marginalized communities. The platform will showcase their work and offer access to social media opportunities. Role … Lead Data Scientist This role involves leveraging AWS analytics services to analyze data, collaborate with cross-functional teams, and develop data-driven solutions to support business growth. Responsibilities Collaborate with teams to understand objectives and define analytics goals. Develop data analysis strategies using AWS tools such as Amazon Redshift, Athena, EMR, and QuickSight. Design … data pipelines and ETL processes for data extraction and transformation. Apply statistical and machine learning techniques for predictive and pattern analysis. Develop KPIs and dashboards using Amazon QuickSight for decision-making. Perform exploratory data analysis to identify trends and insights. Work with data engineers on data architecture, quality, and governance in AWS. Requirements Bachelor's More ❯

Lead Data Scientist Location: Flexible/Hybrid Contract Type: Permanent Salary: 50k-60k Monday to Friday core office hours We are recruiting a Lead Data Scientist on behalf of a fast-growing financial services organisation. This is an opportunity to join a forward-thinking team focused on driving innovation across the full customer lifecycle … using advanced data science and machine learning techniques. About the Role: As a Lead Data Scientist, you will play a pivotal role in developing and enhancing data-driven solutions across fraud prevention, marketing strategy, credit risk, and customer management. You'll have the opportunity to shape the direction of data science initiatives and work … a highly skilled team to implement autonomous decision frameworks, predictive modelling, and advanced analytics. Key Responsibilities: Own and develop predictive models to improve customer outcomes across multiple business domains. Lead model deployment and policy setting to enhance autonomous decisioning. Design and implement test-and-learn strategies that influence key business decisions. Deliver actionable insights through structured analysis and clear More ❯