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Job description
At IBM Consulting UK FutureNow, you’ll build a career at the forefront of hybrid cloud and AI, working with leading clients across the public and private sectors.
You’ll collaborate with top industry professionals, gain hands on experience with cutting edge technologies, and deliver solutions that create real business impact. From day one, you’ll work on meaningful, high profile programmes that stretch your skills and accelerate your growth.
We invest heavily in you—supporting continuous learning, in demand skills development, and long term career progression. You’ll thrive in a flexible, inclusive environment that values curiosity, encourages reinvention, and recognises what makes you unique.
We offer:
Tools and policies to support your work-life balance from flexible working approaches, sabbatical programs, paid paternity leave, maternity leave and an innovative maternity returners scheme
More traditional benefits, such as 25 days holiday (in addition to public holidays), private medical, dental & optical cover, online shopping discounts, an Employee Assistance Program, life assurance and a group pension plan through salary sacrifice.
In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology.
Your role and responsibilities
As a Consulting Data Scientist, you will play a key role in the design, development, and deployment of Artificial Intelligence solutions across a range of client engagements.
Working as part of IBM Consulting's Hybrid Cloud & Data practice, you'll help clients unlock value from modern AI technologies, combining data science, machine learning, Generative AI, and Large Language Models to solve complex business challenges across public sector, financial services, and regulated industries.
You will work closely with stakeholders, architects, engineers, and platform teams to translate business problems into production-ready AI solutions, balancing innovation with security, governance, and measurable business outcomes.
Core Responsibilities Design, develop, and deploy AI and Data Science solutions across multiple client engagements
Deliver Generative AI use cases, including retrieval-augmented generation (RAG), semantic search, knowledge retrieval, agentic AI workflows, and LLM-powered applications
Apply machine learning and statistical techniques to structured and unstructured data where appropriate
Evaluate, fine-tune, and optimise AI solutions for performance, reliability, cost, and business value
Translate ambiguous business requirements into clear analytical and AI use cases
Conduct exploratory analysis, feature engineering, model development, evaluation, and validation activities
Partner with Data Engineers, Architects, Product Owners, and stakeholders throughout the delivery lifecycle
Support the operationalisation of AI solutions through APIs, cloud platforms, MLOps, and downstream integration patterns
Provide technical leadership and mentoring to junior practitioners
Contribute to AI best practices, governance, responsible AI adoption, and continuous improvement initiatives
Required education
None
Preferred education
Bachelor's Degree
Required technical and professional expertise
Strong proficiency in Python and experience with modern Data Science and Machine Learning libraries (e.g. Pandas, NumPy, scikit-learn, PyTorch, TensorFlow)
Practical experience designing and delivering AI or Machine Learning solutions within a commercial, consulting, or enterprise environment
Hands-on experience with Generative AI technologies, including one or more of:
- Large Language Models (LLMs)
- Retrieval-Augmented Generation (RAG)
- Agentic AI workflows
- Embeddings and Semantic Search
- Prompt Engineering
- AI Evaluation Frameworks
Experience working with LLM APIs and AI ecosystems such as OpenAI, Anthropic, Azure OpenAI, LangChain, LangGraph, DSPy, or similar technologies
Experience working with cloud platforms such as AWS, Azure, or GCP
Strong understanding of model evaluation, experimentation, data quality, and AI governance considerations
Excellent communication and stakeholder engagement skills, with the ability to explain complex technical concepts to non-technical audiences
Proven experience delivering solutions end-to-end, from discovery through to deployment and adoption
This role is subject to pre-employment screening in line with the UK Government’s Baseline Personnel Security Standard (BPSS). An additional range of Personal Security Controls referred to as National Security Vetting (NVS) may apply, this could include meeting the eligibility requirements for The Security Check (SC) or Developed Vetting (DV).
Preferred technical and professional experience
Experience deploying and operationalising AI solutions in production environments
Experience with vector databases, knowledge graphs, GraphRAG, entity resolution, recommendation systems, or semantic retrieval architectures
Experience with MLOps, model monitoring, observability, and AI platform engineering
Experience working within regulated or high-assurance environments, including Public Sector, Defence, Financial Services, or Critical National Infrastructure
Experience contributing to AI governance, responsible AI, model risk management, or security-related controls
Familiarity with SQL and modern data platforms such as Databricks, Fabric, Snowflake, Synapse, or equivalent cloud-native analytics environments
Active UK Security Clearance.
ABOUT BUSINESS UNIT
IBM Consulting is IBM’s consulting and global professional services business, with market leading capabilities in business and technology transformation. With deep expertise in many industries, we offer strategy, experience, technology, and operations services to many of the most innovative and valuable companies in the world. Our people are focused on accelerating our clients’ businesses through the power of collaboration. We believe in the power of technology responsibly used to help people, partners and the planet.
YOUR LIFE @ IBM
In a world where technology never stands still, we understand that, dedication to our clients success, innovation that matters, and trust and personal responsibility in all our relationships, lives in what we do as IBMers as we strive to be the catalyst that makes the world work better.
Being an IBMer means you’ll be able to learn and develop yourself and your career, you’ll be encouraged to be courageous and experiment everyday, all whilst having continuous trust and support in an environment where everyone can thrive whatever their personal or professional background.
Our IBMers are growth minded, always staying curious, open to feedback and learning new information and skills to constantly transform themselves and our company. They are trusted to provide on-going feedback to help other IBMers grow, as well as collaborate with colleagues keeping in mind a team focused approach to include different perspectives to drive exceptional outcomes for our customers. The courage our IBMers have to make critical decisions everyday is essential to IBM becoming the catalyst for progress, always embracing challenges with resources they have to hand, a can-do attitude and always striving for an outcome focused approach within everything that they do.
Are you ready to be an IBMer?
ABOUT IBM
IBM’s greatest invention is the IBMer. We believe that through the application of intelligence, reason and science, we can improve business, society and the human condition, bringing the power of an open hybrid cloud and AI strategy to life for our clients and partners around the world.
Restlessly reinventing since 1911, we are not only one of the largest corporate organizations in the world, we’re also one of the biggest technology and consulting employers, with many of the Fortune 500 companies relying on the IBM Cloud to run their business.
At IBM, we pride ourselves on being an early adopter of artificial intelligence, quantum computing and blockchain. Now it’s time for you to join us on our journey to being a responsible technology innovator and a force for good in the world.
IBM 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, genetics, pregnancy, disability, neurodivergence, age, or other characteristics protected by the applicable law. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
OTHER RELEVANT JOB DETAILS
IBM wants you to bring your whole self to work and for you this might mean the ability to work flexibly. If you are interested in a flexible working pattern, please talk to our recruitment team to find out if this is possible in the current working environment.
Job Title
Data Scientist - AI | UK Public Sector
Job ID
City / Township / Village
State / Province
Hampshire, London, City of, Manchester, Leicester
Country
United Kingdom
Work arrangement
Hybrid
Area of work
Data & Analytics
Employment type
Regular
Position type
Professional
Up to 80% or 4 days a week (home on weekends - based on project requirements)
Company
Shift
General (daytime)
Is this role a commissionable/sales incentive based position?
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Worksite address
boston, MA, 02298, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.