Job Description

About Stolt-Nielsen Digital Innovation Centre
Were a family-founded company with a global reputation for excellence in bulk-liquid and chemical logistics, transportation, and storage and a passion for innovation that drives the world forward. From enabling smarter, safer, and more sustainable supply chains to advancing high-technology aquaculture, were constantly reimagining whats possible. Our spirit of entrepreneurship and continuous adaptation keeps us at the forefront of every industry we serve.
Across our businesses, we deliver world-class reliability, flexibility, and expertise ensuring that complex operations run seamlessly.
We recognise the rich potential of Indias talent pool, which is why we have set up the Stolt-Nielsen Digital Innovation Centre in Hyderabad, purpose-built to be the global hub for product development and operations (DevOps) for all our businesses and corporate functions.
At the Stolt-Nielsen Digital Innovation Centre, were leading the digital evolution of our global businesses creating smart, high-quality digital solutions that empower our customers and colleagues alike.

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.
Youll 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 (Engineering laptops, Cursor licenses). 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 Youll 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 Youll Bring:

• Bachelors or masters 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.
• Strong proficiency in Python and data science libraries (pandas, NumPy, scikit-learn, matplotlib, seaborn).
• Practical experience building, evaluating, and deploying models in Databricks (MLflow, Delta, notebooks).
• Experience with AutoML frameworks (e.g., H2O.ai, AutoGluon, or Databricks AutoML).
• Familiarity with Mosaic ML or other MLOps optimization frameworks.
• Knowledge of YOLO/OpenCV for computer vision; use of Generative AI and LLMs.
• Strong foundation in statistics, machine learning, and data visualization.
• Ability to translate business problems into analytical solutions with measurable impact.

Must Have Skills:

• Python
• SQL
• MLFlow /Databricks
• Preferred Azure services (storage, compute)
• GIT and basic understanding of CI/CD and Infrastructure-as-Code (we use Azure DevOps)
• Strong Problem-solving skills

Skills Required