Data Scientist / ML Engineer

We are currently building a team of Data Science / ML professionals for a project with a leading MBB consulting firm.

The team will work on building AI-led MVPs across areas including energy, power, utilities, manufacturing, procurement, operations, and maintenance.

Requirement Details:

• Experience: 610 years preferred; strong candidates with 45 years may also be considered
• Role: Data Science / ML Engineer
• Engagement: Full-time, high-bandwidth, project-based assignment
• Duration: Approximately 4 months, with potential for extension
• Start Date: Immediate / within 1–2 weeks of notice
• Work Model: Minimum 60% onsite availability at client locations

Key Skills:

• Python and SQL
• Data analysis and Machine Learning
• Forecasting and optimization
• Classification and anomaly detection
• Model development, evaluation and explainability
• GenAI / LLM applications
• Model Ops / MLOps

Prior experience working in a dynamic project setup or consulting/client-delivery environment is preferred. Candidates should be comfortable working with incomplete data, iterating quickly, independently owning their workstream, and communicating technical outputs clearly to business stakeholders. 

Potential use cases include procurement intelligence and anomaly detection, renewable generation forecasting, predictive maintenance, power operations and capex optimization, theft/geospatial analytics, customer churn and billing anomaly detection, and customer-facing GenAI solutions.

We are particularly interested in strong candidates who are available to start immediately or within 1–2 weeks.Role & responsibilities