Data Scientist

4 weeks ago

Chennai, India Capgemini Engineering Full time

Data Scientist / Analyst – Digital Twin of Ships

Location: Chennai, India

Work Mode: Hybrid (3 days/week from office)

Experience Required: 12–17 years

Qualifications: Bachelor’s or Master’s degree in engineering

Choosing this opportunity means joining a team at the forefront of maritime innovation, where data science meets sustainability. You’ll be empowered to shape digital twin solutions for ships, supported by a collaborative engineering and product ecosystem, and inspired to drive impactful change in fleet health and environmental performance.

Your Role

We are seeking a data-driven and analytical Data Scientist / Analyst to join our Digital Twin of Ships team. This role is ideal for someone with strong modeling and analytical skills, capable of interpreting complex vessel behavior, assessing fleet health, and supporting sustainability initiatives through data. You will work closely with engineering and product teams to derive actionable insights from large-scale maritime datasets.

In this role, you will:

- Model vessel behavior using historical and real-time data to support predictive analytics.
- Analyze fleet health metrics to identify patterns, anomalies, and maintenance needs.
- Develop and track sustainability metrics aligned with organizational goals.
- Apply machine learning techniques for predictive maintenance and anomaly detection.
- Collaborate with engineering and product teams to integrate insights into digital twin features.
- Use AWS services such as SageMaker and Athena for scalable data processing and analysis.
- Communicate findings through dashboards, reports, and presentations to stakeholders.

Your Profile

- Bachelor’s or Master’s degree in Engineering.
- 12–17 years of experience in data science or analytics roles, with 10–12 years in engineering-focused domains.
- Proven experience in Digital Twin technologies, preferably in maritime or industrial sectors.
- Proficiency in programming and data analysis tools: Python, R, SQL.
- Experience with machine learning techniques including predictive maintenance and anomaly detection.
- Hands-on experience with AWS services: SageMaker, Athena.
- Familiarity with sustainability metrics modeling and environmental data analysis.
- Strong problem-solving and communication skills.
- Ability to work collaboratively in agile teams and present insights to technical and non-technical audiences.

What You’ll Love About Working Here

- Opportunity to work on innovative digital twin solutions in a high-impact maritime domain.
- Collaborative and forward-thinking work culture.
- Hybrid work model with flexibility.
- Career growth and leadership opportunities in data science.

About Us

At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world’s most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same.

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