Hybrid Cloud AI Data Scientist: Generative ML

International Business Machines Corporation; Leicester; Hybrid; GBP 65,000 - 100,000; Full time

Benefits offered by this job

Flexible working

Sabbatical program

Maternity/paternity leave

Private medical

Dental & optical cover

Employee assistance program

Life assurance

Group pension via salary sacrifice

Online shopping discounts

Job summary

IBM Consulting UK FutureNow is seeking experienced Data Scientists (AI) to join our Hybrid Cloud & Data service line, solving client challenges with Data Science, ML, Generative AI and LLMs. You’ll translate business problems into practical AI solutions while balancing governance, security and value.

Join a hands-on consulting team delivering measurable outcomes in regulated environments. This role requires strong Python data science skills, experience with AI ecosystems, and the ability to

Qualifications

• Strong proficiency in Python and modern Data Science tooling including Pandas, NumPy, Scikit-learn, PyTorch, TensorFlow or similar libraries.
• Commercial experience designing, building and deploying Data Science, Machine Learning or AI solutions.
• Practical experience working with Generative AI technologies including one or more of: Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Agentic AI workflows, Prompt Engineering, Embeddings and Semantic Search.
• Experience using AI ecosystems and frameworks such as OpenAI, Azure OpenAI, Anthropic, LangChain, LangGraph, DSPy, and 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.
• Experience collaborating with stakeholders to define requirements and shape analytical approaches.
• Ability to communicate complex technical concepts to both technical and non-technical audiences.
• Experience delivering solutions from discovery through to deployment and adoption.
• Experience working within Agile delivery teams.

Responsibilities

• Design, develop and deploy AI and Data Science solutions across multiple client engagements.
• Translate complex and often ambiguous business problems into practical analytical and AI-driven solutions.
• Deliver Generative AI use cases including Retrieval-Augmented Generation (RAG), semantic search, knowledge retrieval, intelligent assistants and agentic workflows.
• Apply machine learning, statistical analysis and predictive modelling techniques to structured and unstructured datasets.
• Conduct exploratory data analysis, feature engineering, model development, evaluation and validation activities.
• Evaluate, fine-tune and optimise AI models to improve performance, reliability, explainability and business value.
• Work closely with Data Engineers, Architects, Product Owners and client stakeholders throughout the delivery lifecycle.
• Support the deployment and operationalisation of AI solutions through cloud platforms, APIs, MLOps practices and modern integration approaches.
• Communicate technical findings and recommendations to both technical and non-technical audiences.
• Contribute to best practices across AI engineering, governance, responsible AI and secure-by-design delivery.
• Support and mentor junior practitioners where appropriate.

Skills

Python

Data Science

Pandas

NumPy

Scikit-learn

PyTorch

TensorFlow

LLMs

RAG

Semantic search

OpenAI

Azure OpenAI

LangChain

Databricks

Cloud platforms

AI governance

Agile

Education

Bachelor's Degree

Tools

OpenAI

Azure OpenAI

LangChain

Databricks

Snowflake

Job description

IBM Consulting UK FutureNow is seeking experienced Data Scientists (AI) to join our Hybrid Cloud & Data service line, solving client challenges with Data Science, ML, Generative AI and LLMs. You’ll translate business problems into practical AI solutions while balancing governance, security and value.

Join a hands-on consulting team delivering measurable outcomes in regulated environments. This role requires strong Python data science skills, experience with AI ecosystems, and the ability to