Senior Data Scientist [T500-21799]

Stolt-Nielsen Limited; Hyderabad; On-site; INR 1,500,000 - 2,500,000; Full time

Job summary

A global logistics and transportation company is looking for a Senior Data Scientist to design and deploy predictive models using data, AI, and automation. The ideal candidate will have a strong background in Python, machine learning, and experience with tools like scikit-learn and Databricks. This position focuses on uncovering insights from data and building end-to-end ML pipelines. Candidates should have a relevant degree and over 5 years of experience in data science.

Qualifications

• 5+ years of hands-on experience in data science, machine learning, or AI engineering roles.

Responsibilities

• Explore, clean, and analyze data using Python and SQL to uncover patterns.
• Develop and train machine learning models using scikit-learn and AutoML.
• Apply computer vision techniques for image-based use cases.
• Operationalize models in Databricks with data engineers.
• Build end-to-end ML pipelines for model deployment.
• Communicate results through visualizations and reports.

Skills

Python

Machine Learning

Data Analysis

SQL

Computer Vision

OpenCV

Education

Bachelor's or Master's Degree in Computer Science or related field

Tools

scikit-learn

AutoML

Databricks

Mosaic ML

Job description

Stolt‑Nielsen is a family‑founded global leader in bulk‑liquid and chemical logistics, transportation, and storage, known for its commitment to safety, service excellence, and innovation. At the Stolt‑Nielsen Digital Innovation Centre, we bring this legacy into the future — building smarter systems, driving digital transformation, and shaping what’s next for the world of logistics. Here, you’re encouraged to think boldly, challenge convention, and help move today’s products toward tomorrow’s possibilities.

About the Role

We are seeking a Senior Data Scientist with a passion for solving complex problems using data, AI, and automation. In this role, you will design, develop, and deploy predictive and analytical models using Python, pandas, scikit‑learn, OpenCV, and AutoML frameworks — all within a Databricks environment powered by the Mosaic ML stack.

You’ll work at the intersection of analytics, AI, and engineering to turn data into insights and intelligence that drive business outcomes.

At Stolt‑Nielsen, we take Digital seriously. We invest in our teams through training and mentoring and enable them with the required tools to work in a modern way. As we are further building up our engineering practice, there is ample room for you to contribute, take initiative and shape the future of our ways of working and technology landscape.

What You’ll Do

• Explore, clean, and analyze data using Python, pandas, and SQL to uncover patterns, trends, and opportunities.
• Develop and train machine learning models (supervised and unsupervised) using scikit‑learn, AutoML tools, and Mosaic ML workflows.
• Apply computer vision techniques with OpenCV and deep learning libraries for image‑based use cases.
• Operationalize models in Databricks, collaborating closely with data engineers and analysts to ensure scalability and performance.
• Build end‑to‑end ML pipelines, from data ingestion and feature engineering to model deployment and monitoring.
• Experiment with Mosaic ML and Databricks MLflow for reproducibility, optimization, and lifecycle management.
• Communicate results and insights through clear visualizations, reports, and presentations to technical and non‑technical audiences.
• Stay current on new methods in ML, AI automation, and data science tooling.

What You’ll Bring

• Bachelor’s or master’s degree in computer science, Machine Learning, Artificial Intelligence, or a related field.
• 5+ years of hands‑on experience in data science, machine learning, or AI engineering roles.