Hybrid AI Data Scientist — Generative AI & MLOps

IBM

Boston (MA)

Hybrid

USD 74,000 - 107,000

Full time

12 days ago
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Benefits offered by this job

Flexible working
25 days holiday
Private medical/dental
Pension plan

Job summary

IBM Consulting UK FutureNow is seeking a Data Scientist - AI to design, develop, and deploy AI and data science solutions for public sector clients in a hybrid delivery model. You will apply Generative AI, LLMs, and retrieval-augmented generation to create measurable business value.

You will collaborate with stakeholders and engineers, ensuring governance, security, and scalable AI deployments while advancing client outcomes across regulated industries.

Qualifications

  • Strong proficiency in Python and modern DS/ML libraries (Pandas, NumPy, scikit-learn, PyTorch, TensorFlow).
  • Experience delivering AI/ML solutions in a commercial or enterprise setting.
  • Hands-on with Generative AI tech: LLMs, RAG, embeddings, semantic search, prompt engineering.
  • Experience with cloud platforms (AWS, Azure, GCP) and LLM APIs/e ecosystems.

Responsibilities

  • Design, develop, and deploy AI and Data Science solutions across client engagements.
  • Deliver Generative AI use cases including RAG and semantic search.
  • Translate business problems into production-ready AI solutions.
  • Collaborate with data engineers, architects, and stakeholders throughout delivery.
  • Support operationalisation of AI solutions via APIs, MLOps, and cloud platforms.
  • Provide technical leadership and mentoring to junior practitioners.

Skills

Python
Data Science libraries
Generative AI
LLM APIs
Cloud platforms
Model evaluation & governance
Stakeholder communication
End-to-end delivery

Education

Bachelor's Degree

Tools

Databricks
Fabric
Snowflake
Synapse
LangChain
LangGraph
DSPy

Job description

IBM Consulting UK FutureNow is seeking a Data Scientist - AI to design, develop, and deploy AI and data science solutions for public sector clients in a hybrid delivery model. You will apply Generative AI, LLMs, and retrieval-augmented generation to create measurable business value.

You will collaborate with stakeholders and engineers, ensuring governance, security, and scalable AI deployments while advancing client outcomes across regulated industries.

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