About WhiteCrow

We are global talent research, insight, and sourcing specialists with offices in the UK, USA, Singapore, Malaysia, Hong Kong, Dubai, and India. Our international reach has helped us to understand and penetrate specialist markets at a global level. In addition to this, our service is also extended to complement our client's in-house talent acquisition teams.

About our client

Our client is a global specialty materials company committed to enhancing the quality of life through innovative products and solutions, prioritizing safety and sustainability. With a focus on key sectors such as transportation, building and construction, and consumables, it leverages cutting-edge technology platforms, fosters deep customer engagement, and drives differentiated application development to maintain its leading positions in these markets. As a globally inclusive and diverse company, they have employed approximately 14,000 people around the world and serves customers in more than 100 countries.

As a Senior Data Scientist - Machine Learning, you will be responsible for...

• Leading the design, development, and deployment of machine learning models using Python for applications including process optimization, predictive analytics, demand forecasting, computer vision, and decision support systems
• Networking across manufacturing, R&D, commercial, and business functions to identify and collaboratively execute on high-impact challenges solvable through machine learning techniques
• Building production-ready ML solutions within enterprise platforms (Databricks, Azure ML) including model training, endpoint deployment, and monitoring.
• Developing and maintaining scalable, modular, well-documented code following MLOps best practices including version control, logging/metadata standards, and CI/CD principles
• Leading code reviews, architectural discussions, and knowledge sharing to maintain high quality, production-ready deliverables across the team
• Collaborating with domain experts and stakeholders across a wide variety of domains to understand needs, integrate ML solutions into workflows, and deliver measurable business value
• Communicating complex machine learning methodology, results, and business impact clearly to technical and non-technical audiences through presentations, documentation, and visualizations
• Staying current with advancements in machine learning, and applying them to solve business challenges
• Mentoring and providing technical guidance to data scientists, helping to grow the team's capabilities in Hyderabad
• Supporting ML governance processes including architecture and methodology reviews, risk assessments, and compliance with enterprise standards
• Leading project planning and execution, managing timelines, resources, and stakeholder expectations.

What you already have...

• Master's or Ph.D. in a relevant field such as Data Science, Statistics, Mathematics, Computer Science, Operations Research, or a domain-focused field (Engineering, Chemistry, Economics, Finance, etc.)
• 5-8+ years of experience in data science, machine learning, or a related field with demonstrated impact
• Strong foundation in statistical and machine learning theory with proven ability to select, apply, and evaluate appropriate techniques for complex, real-world problems
• Extensive hands-on experience building predictive models and deploying them to production environments using Python
• Proficiency with modern ML frameworks (scikit-learn, XGBoost/CatBoost, TensorFlow/PyTorch) and data manipulation libraries (pandas, polars, numpy)
• Experience with solution architecting and design for ML systems
• Hands-on experience with cloud platforms such as Azure and/or Databricks for deploying and managing ML models and solutions
• Experience with version control (Git), collaborative development, and code review processes
• Strong written and oral communication skills with ability to present technical concepts and results to diverse audiences from technical teams to business leadership
• History of project leadership and driving initiatives from conception to production
• Strong problem-solving skills and the ability to work independently as well as lead and mentor team members.