AI Data Scientist

Role Purpose

Develop, validate and productionize machine-learning, GenAI and agentic-AI solutions that deliver measurable business outcomes. 

Key Responsibilities

• Translate business problems into analytical and AI approaches.

• Conduct data exploration, feature engineering, experimentation and model development.

• Build predictive, recommendation, NLP, RAG and conversational-AI solutions.

• Define evaluation metrics; perform error, bias, fairness and explainability analysis.

• Collaborate with engineering and MLOps teams on deployment, monitoring, retraining and continuous evaluation.

Required Skills

• Python, SQL, PySpark and scikit-learn

• XGBoost/LightGBM, NLP and LLM frameworks

• LangChain, LangGraph or Hugging Face

• Databricks, MLflow, Azure ML or Google Cloud

• Model explainability, fairness, drift and production monitoring

Qualifications

Bachelor's or master's degree in Data Science, Computer Science, AI or quantitative discipline. Minimum 5 years after a bachelor's degree or 3 years post-master's is preferred. 

Key Deliverables / Success Measures

• Clear, approved deliverables aligned to squad objectives

• Evidence of quality, security, compliance and governance controls

• Predictable collaboration across business and technology stakeholders

• Measurable improvement in product adoption, delivery flow or operational outcomes