Data Scientist

Job Description

Data Scientist

Location: Chennai

Experience: 10 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 10–12 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:
• Python
• R
• SQL
• Experience with machine learning techniques:
• Predictive maintenance
• 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.
  

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.
  
  

About Us

We are a technology-driven organization committed to delivering high-quality solutions across industries. Our rail domain team is composed of passionate engineers and testers who believe in pushing boundaries and creating impactful systems. With a focus on innovation, quality, and sustainability, we empower our employees to grow and make a difference.