SR Analytics

Data Scientist - SC Cleared

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist - SC Cleared with a contract length of "unknown," offering a pay rate of "unknown." It requires hands-on experience with Google BigQuery, DataForm, Python, and statistics, ideally within a government or GDS environment.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
Unknown
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🗓️ - Date
March 27, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Yes
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📍 - Location detailed
London
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🧠 - Skills detailed
#Agile #Automation #JavaScript #Datasets #Data Science #Python #"ETL (Extract #Transform #Load)" #BigQuery #Statistics
Role 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