2 of 2 Lead Data Scientist Jobs in Bedfordshire

Lead Data Scientist (Equity Only) - 1% Job Description: Luupli is a social media app 'in development' that aims to provide opportunities for diverse creators from marginalized communities. The platform will highlight their work and offer access to social media opportunities. Responsibilities: Collaborate with cross-functional teams to understand business objectives and define analytics goals. Develop data analysis strategies using AWS services like Amazon Redshift, Athena, EMR, and QuickSight. Design and build data pipelines and ETL processes for data extraction, transformation, and loading into AWS. Apply statistical and machine learning techniques for predictive and segmentation analyses. Develop KPIs and dashboards using Amazon QuickSight for data-driven decision-making. Perform exploratory data analysis … to uncover trends and insights. Work with data engineers to optimize data architecture, quality, and governance in AWS. Requirements: Bachelor's or master's degree in Computer Science, Statistics, Mathematics, or related fields. Proven experience as a Data Scientist, especially with AWS analytics services. Strong proficiency in AWS tools such as Redshift, Athena, EMR, and QuickSight. More ❯

Lead Data Scientist (Equity Only) - Bedford Job Details Location: Bedford, United Kingdom Job Category: Other EU Work Permit Required: Yes Job Views: 4 Posted: 16.06.2025 Expiry Date: 31.07.2025 About Luupli Luupli is a social media app 'in development' aimed at providing opportunities for diverse creators from marginalized communities. The platform will highlight their work and facilitate access … to social media opportunities. Job Description As a Lead Data Scientist at Luupli, you will leverage AWS analytics services to analyze data and extract insights. Collaborating with cross-functional teams, you will develop data-driven solutions and provide actionable recommendations to shape data strategy and support business growth. Responsibilities Understand business objectives, define data requirements, and set analytics goals. Develop data analysis strategies using AWS services such as Amazon Redshift, Athena, EMR, and QuickSight. Design and implement data pipelines and ETL processes for diverse data sources. Apply statistical and machine learning techniques for predictive, prescriptive analyses, clustering, segmentation, and pattern recognition. Identify key metrics, develop KPIs, and create dashboards and More ❯