AI & Data Scientist – Forecasting & Generative AI

About the role

We are looking for an experienced Data Science & AI Engineer with strong expertise in forecasting, predictive analytics, machine learning, generative AI, and data engineering. The role involves developing scalable AI/ML solutions and taking models from data ingestion through deployment and production monitoring.

Key responsibilities

• Develop and deploy machine learning, predictive analytics, forecasting, and generative AI solutions.
• Build scalable data pipelines, perform data preparation, feature engineering, and statistical analysis.
• Create time‑series forecasting, demand prediction, customer‑behaviour, and predictive‑maintenance models.
• Implement LLM‑based solutions using models such as GPT, Claude, Gemini, Llama, and Mistral.
• Deploy, monitor, and optimise models following MLOps best practices.
• Collaborate with business and technology teams to translate problems into AI‑driven solutions.

Required profile

• Minimum 5 years (60 months) of experience in data science, machine learning, AI, or related fields.
• Bachelor’s or Master’s degree in Data Science, Computer Science, Engineering, Statistics, or a related discipline.

Required skills

• Python
• SQL
• PySpark
• Databricks
• Azure
• Azure Machine Learning
• MLflow
• Machine Learning
• Deep Learning
• Statistical Modelling
• Time‑Series Forecasting
• Predictive Analytics
• Generative AI
• LLMs
• Data Engineering
• MLOps
• Model Deployment
• Monitoring
• Optimisation