Data EngineeringCluster AnalysisData AnalysisData AnalyticsData ScienceDatasetsExploratory Data AnalysisStatistical ModelingThinking Skills
UK
We track Entertainment Merchandising on the Digital Shelves
45+ employees
SaaS
Role
Who you are
Significant and demonstrable experience delivering Data Science projects using Python programming language and libraries like NumPy, SciPy, Pandas, MLLib and scikit-learn an IDE such as Jupyter Notebooks
Analytical tool sets such as Athena and Sagemaker with AWS
Version control in GitHub or similar
Proactive, detail oriented with problem-solving and critical-thinking skills
Excellent communication skills for both technical and non-technical stakeholders
5+ years proven experience as a Data Scientist
BSc in Science, Maths, Computing, etc.
Experience working with software and data engineering teams to develop, test, deploy and monitor statistical and machine learning models in production
Experience delivering analytics in a high growth, scale-up environment
Desirables
Proactive
Self-motivated
Detail oriented
Excellent problem-solving
Critical-thinking
What the job involves
Work closely with cross-functional teams, including business analysts, engineers, and decision-makers, to understand business objectives and requirements to scope and deliver data science projects.
Formulate and test hypotheses, providing actionable recommendations based on analysis results.
Build predictive models to forecast trends and outcomes, contributing to strategic decision-making.
Communicate insights effectively through the creation of compelling narratives, data visualisations, reports and dashboards.
Ensure high levels of data quality by preprocessing and transforming data to prepare it for modelling and analytical activity.
Providing innovative SaaS analytics solutions for the Video on Demand industry, empowering clients with data-driven insights to enhance customer acquisition and retention in the competitive streaming services market.