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 industrial

applications. The role will focus on transforming complex operational, sensor, production, and process data into

reliable predictive and prescriptive solutions that improve efficiency, quality, safety, and decision-making. The ideal

candidate has robust experience in applied machine learning, statistical modeling, industrial data, and productiongrade

model development.

Key Responsibilities

Develop, validate, and deploy advanced deep learning and machine learning models for industrial use cases

such 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-value

machine 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-technical

stakeholders.

We Think You Should Have

Masters or PhD in Data Science, Computer Science, Statistics,Mathematics, or a related field

8+ years

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