AWS Data Scientist - Public Sector

IBM; Leicester; On-site; GBP 85,000 - 125,000; Full time

Job summary

IBM CIC in the UK is seeking an AWS Data Scientist to advise and deliver data, analytics, and AI solutions for public sector clients, intersecting data science, cloud tech and consulting to translate data into actionable insights.

You will partner with senior stakeholders to design scalable analytics, accelerate modernisation of public sector data estates, and unlock value using AWS capabilities alongside IBM’s consulting expertise, delivering measurable outcomes for citizens.

Qualifications

• Advanced Python with ML frameworks (TensorFlow, PyTorch, Keras).
• Strong knowledge of foundation models, LLMs and modern ML architectures.
• Hands-on experience with AWS cloud services for data and AI workloads.
• Proven ability to architect and deliver production-grade AI solutions.
• Strong consulting, stakeholder engagement and technical leadership.

Responsibilities

• Develop and deploy predictive models, ML solutions and data-driven applications.
• Work with public sector clients to translate complex challenges into practical data science solutions.
• Analyse large and diverse datasets to identify trends and improve services.
• Collaborate with multidisciplinary teams to integrate data and AI insights into strategies.
• Design scalable data science workflows using AWS cloud services.
• Stay up to date with developments in data science, ML, AI and cloud tech.

Skills

Python

TensorFlow

PyTorch

Keras

LLMs

AWS Cloud

Data Science

Stakeholder leadership

Tools

SageMaker

S3

Glue

Redshift

Athena

EMR

Bedrock

Lambda

QuickSight

PySpark

SQL

Job description

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.

Your role and responsibilities

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.

Responsibilities

• 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.

Required technical and professional expertise

Required Skills:

• Advanced Python with hands‑on experience across AI/ML frameworks including TensorFlow, 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.

Desirable AWS Tools & Technologies experience:

• Amazon SageMaker - 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 QuickSight - BI, dashboards & visualisation

• Python, SQL, R & PySpark - Data science & analytics

As an equal opportunities’ employer, we welcome applications from individuals of all backgrounds. However, for you to be eligible for this role, you must have the valid right to work in the UK. Unfortunately, we do not offer visa sponsorship and have no future plans to do so. You must be a resident in the UK and have been living continuously in the UK for the last 5 years. You must be able to hold or gain a UK government security clearance.

Preferred technical and professional experience

Desirable Skills

• Experience developing and applying Generative AI, foundation models, and LLM‑based solutions.

• Familiarity with modern UI and application frameworks, including React, Angular, and Bootstrap.

• Working knowledge of relational and NoSQL databases, including PostgreSQL, SQL, DB2, and MongoDB.

• Understanding of Linux and Windows environments and cloud‑based application architectures.

Desirable Certifications

• AWS Certified Machine Learning - Speciality

• AWS Certified AI Practitioner

• AWS Certified Data Engineer - Associate

• AWS Certified Solutions Architect - Associate

• IBM Data Science Professional Certificate

IBM is committed to creating a diverse environment and is proud to be an equal‑opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.