Data Scientist

Red Commerce Schweiz GmbH; Greater London; Hybrid; GBP 101,000 - 138,000; Full time

Job summary

RED now has a new contract opportunity for a Data Scientist to join one of our key partners on a Mobile Intelligence Platform project.

The contract is for 12 months, starting ASAP, with a hybrid working model (3 days per week in the London office).

Qualifications

• Strong Python (3.11+) skills with pandas and NumPy.
• Production-grade Streamlit dashboard development.
• Data integration using Snowflake, OpenSearch, REST APIs and SQL.
• AWS experience (boto3, S3, Parquet).
• Data visualization 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.

Skills

Python

pandas

NumPy

Streamlit

Snowflake

OpenSearch

REST APIs

SQL

AWS (boto3, S3, Parquet)

Plotly

Matplotlib

Seaborn

Docker

Kubernetes

CI/CD

pytest

Time-series analytics

Mobile app KPIs

Tools

Docker

Kubernetes

CI/CD

pytest

Snowflake

OpenSearch

Job description

Data Scientist - 12 Months - London (Hybrid, 3 days per week in the office)

RED now has a new contract opportunity for a Data Scientist to join one of our key partners on a Mobile Intelligence Platform project.

The contract is for 12 months, starting ASAP, with a hybrid working model (3 days per week in the London office).

Specific skills/experience required:

• 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.