Info

Location:

Mumbai, India

Apply by:

October 31, 2026

Position type:

Permanent

Job ID #:

21888
Are you ready to help us reimagine the way technology and energy shape our lives in the future?

At Aker Solutions we are changemakers with nearly 200 years of experience, committed to helping the energy industry #PowerTheChange towards a net-zero future. We are driven by collaboration and curiosity, building tomorrow’s technological solutions today
What will you be doing?

We are looking for a SeniorData Scientist to design, build, and deploy advanced machine learning models for industrialapplications. The role will focus on transforming complex operational, sensor, production, and process data intoreliable predictive and prescriptive solutions that improve efficiency, quality, safety, and decision-making. The idealcandidate has robust experience in applied machine learning, statistical modeling, industrial data, and productiongrademodel development.Key Responsibilities Develop, validate,



and deploy advanced deep learning and machine learning models for industrial use casessuch as predictive maintenance, process optimization, anomaly detection, quality prediction, demand forecasting,and asset performance monitoring. Work with large-scale structured, unstructured and time-series data fromindustrial systems, sensors, machines,production lines, and operational platforms. Collaborate with engineers, domain experts, product teams, and business stakeholders to identify high-valuemachine learning opportunities. Translate industrial challenges into data science problems and deliver practical, scalable solutions. Build robust data pipelines, feature engineering workflows, and model evaluation frameworks. Monitor model performance in production and support continuous improvement of deployed models. Communicate model insights, assumptions, limitations, and business impact clearly to technical and non-technicalstakeholders.
We think you should have:

Masters or PhD in Data

📌 Senior Data Scientist (Mumbai)
🏢 Aker Solutions
📍 Mumbai