Data Scientist - SC Cleared

SR2
Charing Cross, United Kingdom
2 days ago

Role details

Contract type
Contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English

Job location

Charing Cross, United Kingdom

Tech stack

JavaScript
Big Data
Google BigQuery
Data Transformation
Python
SC Clearance
Google BigQuery

Job description

Data Scientist - SC Cleared

We are supporting a government department in a GDS environment with the appointment of an SC-cleared Data Scientist to join a high-performing technology team.

This role requires strong hands-on experience across Google BigQuery, DataForm, JavaScript procedures, Python, statistics, and data modelling. You will work with complex datasets to build analytical models, transform and structure data, and generate insight to support operational and strategic decision-making.

Key responsibilities:

  • Build and maintain analytical and data models
  • Use BigQuery to query, manage, and optimise large datasets
  • Develop data transformation workflows using DataForm and JavaScript procedures
  • Apply Python for analysis, modelling, and automation
  • Use statistical techniques to identify patterns, trends, and insights
  • Translate business questions into clear analytical outputs
  • Work closely with technical and non-technical stakeholders in an agile delivery environment

Required experience:

  • Active SC clearance
  • Strong experience in a Data Scientist or similar analytical role
  • Hands-on use of Google BigQuery
  • Experience with DataForm
  • Strong Python capability
  • Good understanding of statistics and data modelling

Desirable:

  • Government or public sector experience
  • Experience in a GDS environment
  • Exposure to large operational datasets

Requirements

  • Active SC clearance
  • Strong experience in a Data Scientist or similar analytical role
  • Hands-on use of Google BigQuery
  • Experience with DataForm
  • Strong Python capability
  • Good understanding of statistics and data modelling

Desirable:

  • Government or public sector experience
  • Experience in a GDS environment
  • Exposure to large operational datasets

Apply for this position