AWS Data Scientist - Public Sector

Introduction

At IBM CIC, we provide technical and industry expertise to a wide range of public and private sector clients in the UK.

A career in IBM CIC means you’ll have the opportunity to work with leading professionals across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world. You will get the chance to deliver effective solutions, driving meaningful business change for our clients, using some of the latest technology platforms.

Curiosity and a constant quest for knowledge serve as the foundation to success here. You’ll be encouraged and supported to constantly reinvent yourself, focusing on skills in demand in an ever changing market. You’ll be working with diverse teams, coming up with creative solutions which impact a wide network of clients, who may be at their site or one of our CIC or IBM locations.

Our culture of evolution centres on long-term career growth and development opportunities in an environment that embraces your unique skills and experience.

Join IBM as an AWS Data Scientist, advising and delivering data, analytics, and AI solutions for public sector clients as they navigate complex business, operational, and societal challenges. Working at the intersection of data science, cloud technology, and consulting, you will help organisations translate data into actionable insights, strengthen decision‑making, and deliver measurable outcomes for citizens and communities.

As part of IBM’s AI, Analytics & Data Science practice, you will partner with senior stakeholders and multidisciplinary teams to shape data‑driven strategies, design and implement scalable analytics solutions, and accelerate the modernisation of public sector data estates. Leveraging AWS cloud capabilities alongside IBM’s consulting expertise, you will help clients unlock the value of their data, improve operational performance, and establish sustainable, insight‑led approaches to transformation.

• Develop and deploy predictive models, machine learning solutions, and data‑driven applications to address public sector challenges.

• Work with public sector clients to translate complex business and policy challenges into practical data science solutions.

• Analyse large and diverse datasets to identify trends, improve services, and support evidence‑based decision‑making.

• Collaborate with multidisciplinary teams to integrate data and AI insights into business and public sector strategies.

• Design scalable data science workflows and solutions using AWS cloud services.

• Stay up to date with emerging developments in data science, machine learning, AI, and cloud technologies.

• Advanced Python with hands‑on experience across AI/ML frameworks including Tensor Flow, PyTorch, and Keras.

• Strong understanding of foundation models, LLMs, generative AI, and modern ML architectures.

• Practical experience with AWS cloud services for data, machine learning, and AI workloads.

• Proven ability to architect and deliver production‑ready AI solutions in complex professional environments.

• Strong consulting, stakeholder engagement, problem‑solving, and technical leadership capabilities.

• Amazon Sage Maker - ML development, training, deployment & MLOps

• Amazon S3 - Scalable data storage & data lakes

• AWS Glue
  - Data integration, ETL & preparation

• Amazon Redshift & Athena
  - Data warehousing & serverless analytics

• Amazon EMR
  - Big data processing & Spark

• Amazon Bedrock
  - Generative AI & foundation models

• AWS Lambda
  - Serverless data & AI workflows

• Amazon Quick Sight - BI, dashboards & visualisation

• Python, SQL, R & Py Spark
  - Data science & analytics

As…