About The Role
Data Scientist
LocationChennai
Experience10 to 16 years
About the 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.
Key Responsibilities
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 cross-functional teams to integrate data insights into product features.Use AWS services such as SageMaker and Athena for scalable data processing and analysis.Communicate findings through dashboards, reports, and presentations to stakeholders.
Required Skills & Competencies
Strong engineering background with 1012 years of experience in data science or analytics roles.Proven experience in Digital Twin technologies , preferably in maritime or industrial domains.Proficiency in programming and data analysis tools:PythonRSQLExperience with machine learning techniques:Predictive maintenanceAnomaly detectionHands-on experience with AWS services:SageMakerAthenaFamiliarity 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.
Role Type
Dedicated to the Digital Twin of Ships team.
What We Offer
Opportunity to work on innovative digital twin solutions in a high-impact domain.Collaborative and forward-thinking work culture.Hybrid work model with flexibility.Career growth and leadership opportunities in data science.
