Data Scientist

Position Name:

Strategic purpose of the position:

The Data Scientist leverages Gen AI concepts for data and machine learning to generate insights, improve decision-making, and drive innovation. This role plays a key part in identifying, building and integrating AI-powered solutions into business processes. The Data Scientist collaborates with AI Data Engineers and software teams to deploy AI models into production applications, ensuring seamless AI adoption across the organization.

Personal qualifications / competencies:

• Strong Analytical skills
• Preprocessing and optimization of datasets (structured and unstructured data) to make them LLM-ready.
• Identify the right prompt engineering, agentic frameworks, and latest AI technologies for business problems.
• Proven experience in data science, statistical modelling, and machine learning
• Strong programming skills in Python or R and familiarity with libraries (e.g., Scikit-learn, XGBoost, PyTorch, TensorFlow, Pandas, NumPy)
• Experience with data visualization and storytelling using tools like Power BI/Tableau or Python dashboards (Dash, Stream lit)
• Proficient in querying and transforming data using SQL / NoSQL and working with structured/unstructured datasets
• Understanding of business processes and ability to translate problems into analytical solutions
• Hands-on experience with data pipelines, ETL/ELT processes, and orchestration tools Latest MS Fabric
• Familiarity with MLOps practices and cloud platforms (e.g., Azure, AWS)
• Hands-on experience with cloud-based AI services, including Azure AI, Copilot Studio, and AI Foundry are advantageous
• Work towards Responsible, Trustworthy solutions for the AI in the enterprise landscape.
• Lay down the integration points across different products for ensuring E2E flow of the application.
• Leverage RAG, MCP, Multi-agents, new age AI skills for the AI application
• Fluent English speaker

Educational / minimum requirements:

Masters degree in Data Science, Statistics, Mathematics, Computer Science or related field. Certifications in machine learning or analytics are advantageous.

Job responsibilities:

• Identify opportunities to apply data science across business functions
• Develop predictive and prescriptive models for use cases in commercial, supply chain, and operations
• Work with large datasets to clean, analyse, and visualize key trends and drivers
• Collaborate with business stakeholders to frame and deliver data-driven insights
• Deploy models and monitor their performance over time
• Work with AI Data Engineers and software teams to integrate ML models into AI-driven applications.
• Document methodologies and share findings with technical and non-technical audiences
• Contribute to scaling AI capabilities across the organization

Required Leadership behaviours:

Alignment

• Frames data science work around key business priorities
• Collaborates with stakeholders to ensure adoption and impact

Accountability

• Delivers analytical solutions with measurable business outcomes
• Demonstrates rigor in experimentation and model evaluation

Action

• Proactively explores data for insights and opportunities
• Applies creativity and critical thinking to solve business problems

Note: