Data Scientist

We are a small UK professional services firm that solves tough business questions for our clients by combining design thinking with data science. We work with global clients and big-name brands across many sectors.

We are on a growth journey and are in need of contractor data professionals to resource new projects with our clients.

• Data Analysis and Insight Generation: Analyse large volumes of customer data from various sources (e.g., fuel purchases, convenience store transactions, car services, and EV charging) to uncover actionable business insights.
• Data Wrangling: Clean, pre-process, and transform raw data into structured formats suitable for analysis using SQL and Python.
• Model Development and Validation: Develop, tune, and validate machine learning models to predict customer behaviour. Surface insight that could be actioned to optimise marketing strategies and improve customer retention.
• Visualisation Creation: Design and create compelling data visualisations to communicate findings to stakeholders.
• Ad-hoc Business Queries: Respond to and solve ad-hoc business questions by extracting and analysing relevant data, providing timely and accurate insights.
• Deterministic Record Linking: Employ deterministic record linking techniques, such as blocking, fingerprinting, aggregation, normalisation, and similarity measures, to match and merge customer records accurately. 
• Collaborative Projects: Work collaboratively with cross-functional teams, including technology (e.g., data engineers, analysts, and architecture) and the business (e.g., marketing, operations) to action data-driven insights into business processes.
• Cloud Integration: Use AWS services like Redshift and Athena to manage and analyse large datasets efficiently in the cloud environment.
• Data Storytelling: Develop and present data stories that translate complex analytical results into understandable and actionable insights for non-technical stakeholders.

Data Scientist with experience working with: SQL, Python, Git, AWS (Amazon Redshift, Athena), Jupyter Notebook, Visual Studio Code (the client’s recommended IDE), deterministic record linking techniques, ML model development, good coding best practice.

All your information will be kept confidential according to EEO guidelines.

Nice to have (not essential): Amazon SageMaker, PySpark, MLOps