Data Scientist
AkzoNobel
full-time
Posted on:
Location Type: Office
Location: Pune • India
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About the role
- Responsible for designing, developing, and deploying advanced analytics and machine learning solutions
- Translate business problems into data science use cases and define appropriate analytical approaches
- Design, build, and validate statistical and ML models (e.g., forecasting, classification, optimization, recommendation)
- Develop and maintain production-grade models with appropriate monitoring, retraining, and governance
- Explore and design solutions using Large Language Models (LLMs) and other GenAI capabilities
- Engage with business stakeholders to understand objectives, define success criteria, and prioritize use cases based on value and feasibility
- Lead or co-lead end-to-end data science projects: from ideation, scoping and estimation through development, testing, deployment, and post-go-live monitoring
Requirements
- Master's/bachelor's degree in data science, Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field
- 5–7 years of hands-on experience in data science / advanced analytics roles
- Strong proficiency in Python and SQL
- Solid, practical experience with Azure Databricks (Spark-based data processing, notebooks, workflows/jobs)
- Experience with machine learning libraries and frameworks such as scikit-learn, TensorFlow, PyTorch, or similar
- Exposure to Large Language Models (LLMs) and NLP techniques, ideally using platforms such as Azure OpenAI, OpenAI, or Hugging Face for building text analytics or conversational solutions
- Experience on a major cloud platform (preferably Microsoft Azure) and familiarity with data/ML services (e.g., Azure Data Lake, Synapse, Data Factory, Azure Machine Learning)
- Proven track record of delivering and deploying ML solutions into production with measurable business outcomes.
Benefits
- Inclusive and respectful workplace
- Commitment to diversity
- Professional development opportunities
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data sciencemachine learningstatistical modelsforecastingclassificationoptimizationrecommendationPythonSQLNLP techniques
Soft Skills
stakeholder engagementproject leadershipcommunicationproblem-solvingprioritization
Certifications
Master's degree in data scienceBachelor's degree in Computer ScienceBachelor's degree in StatisticsBachelor's degree in MathematicsBachelor's degree in Engineering