🌳🌳🌳Senior Data Scientists/Analysts - MOD, National Security, Defence, or Government🌳🌳🌳

Areti is currently seeking five Senior Data Scientists/Analysts to join one of the UK’s fastest-growing Series A-funded tech startups based in London. This is an exciting opportunity to be part of a dynamic, mission-driven company working on high-impact Defence and Government projects. Extensive training provided – including Palantir – making this a career-defining role.

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The Role

You will work within a tight-knit, agile team tackling real-world problems using cutting-edge data science and engineering techniques.

Key Responsibilities

• Develop and deploy machine learning models
• Solve complex data problems in a big data environment
• Build scalable data pipelines and APIs

Ideal Candidate Will Have

• Previous experience as a Data Scientist or Data Engineer
• Strong command of Python (including libraries such as scikit-learn, NumPy, matplotlib)
• Experience in deep learning frameworks such as TensorFlow or PyTorch
• Knowledge of SQL and relational databases; experience with Big Data environments
• Familiarity with API development and NoSQL databases
• Understanding of CI/CD practices, AWS, and GIT
• Background in working to strict project deadlines
• Palantir experience is a bonus – full training will be provided if not
• Must have active SC or DV clearance
• Experience working on MOD, National Security, Defence, or Government projects is essential

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Additional Information

• Location: Central London (must be willing to travel to office as required)
• Clearance Required: SC or DV Clearance
• Type: Full-time, Permanent
• Start Date: ASAP

Candidates must have security clearance - Ideally DV

My client has just received a huge investment and is now in the position where they are looking to scale and expand their Data team.

My client is interviewing this week so get in contact today to avoid disappointment.

Areti Group – Carbon positive tech recruitment | 🌳🌳🌳 | We’re on a mission to put people and the planet before profit, leaving the world in a better place than we found it.