Data Scientist

Role Overview

Join a key partner on a Mobile Intelligence Platform project as a Data Scientist for 12 months, working 3 days a week in the London office.

What You Will Do

Develop production-grade Streamlit dashboards, integrate data using Snowflake, OpenSearch, and REST APIs, and create data visualizations with Plotly, Matplotlib, or Seaborn.

Why It Might Be a Fit

The ideal candidate will have strong Python, pandas, and NumPy skills, experience with AWS, Docker, Kubernetes, and CI/CD, and knowledge of statistical analysis, anomaly detection, and time-series analytics.

Requirements

• Strong Python (3.11+), pandas and NumPy skills
• Production-grade Streamlit dashboard development
• Data integration using Snowflake, OpenSearch, REST APIs and SQL
• AWS experience (boto3, S3, Parquet)
• Data visualisation with Plotly, Matplotlib or Seaborn
• Experience with Docker, Kubernetes, CI/CD and pytest
• Knowledge of statistical analysis, anomaly detection and time-series analytics
• Understanding of mobile app KPIs, iOS/Android analytics, app performance and stability
• Experience with layered architectures and end-to-end feature ownership
• Excellent communication and stakeholder management skills