Data Scientist

Broadbean Technology
Greater London
7 months ago
Applications closed

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Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Contract Data Scientists - AWS, Python, AI Engineering

Rate: £500/day
IR35: Inside
Location: Remote (Must be UK Based)

Duration: 6 Weeks Discovery Piece of Work.

We're working with a high-profile public sector programme undergoing a significant data and digital transformation. They're seeking experienced Data Scientists to join their growing cloud and analytics function. This role will be central to building advanced data products, supporting AI/ML initiatives, and ensuring scalable, secure delivery of data-driven solutions in a highly regulated environment.

Role Overview

You'll be part of a multidisciplinary data team, working at the intersection of data science, engineering, and cloud infrastructure. The environment is delivery-focused, with close collaboration across data engineering, AI, and platform teams. The ideal candidate is an experienced data scientist with a strong AWS background, comfortable delivering production-ready models, and with exposure to AI engineering practices such as model deployment and MLOps.

Key Responsibilities

  • Develop and deploy machine learning models and analytical solutions within AWS

  • Collaborate with data engineers to build scalable data pipelines and feature stores

  • Apply modern statistical, predictive, and AI/ML techniques to complex datasets

  • Support model deployment and monitoring using MLOps best practices

  • Contribute to the development of cloud-first, secure, and scalable data solutions

  • Work closely with stakeholders to translate requirements into data-driven outcomes

  • Support knowledge-sharing and champion data science best practice within the team

Required Experience

  • Strong AWS experience (SageMaker, Lambda, ECS, API Gateway, S3, etc.)

  • Proven expertise with Python for data science, ML, and automation

  • Experience delivering ML models into production environments

  • Exposure to AI engineering concepts (MLOps, containerisation, CI/CD for ML)

  • Strong applied statistical and machine learning knowledge

  • Experience collaborating within multidisciplinary teams in agile environments

Apply now or email for more information

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