Data Scientist

· Perform exploratory data analysis to identify trends, opportunities, and business insights.

· Develop statistical models and advanced analytical solutions to support strategic decision-making.

· Translate business requirements into analytical frameworks and measurable outcomes.

· Create dashboards, visualizations, and reports that communicate insights effectively to technical and non-technical stakeholders.

· Collaborate with data engineering teams to establish scalable data pipelines and AI-ready data platforms.

· Ensure data quality, governance, and compliance standards are maintained across analytical solutions.

· Support deployment, monitoring, and lifecycle management of AI and machine learning models.

· Identify opportunities to leverage AI, automation, and advanced analytics to improve productivity and business performance.

· Drive innovation initiatives utilizing emerging technologies such as Generative AI, Agentic AI, Computer Vision, NLP, and Intelligent Automation.

· Contribute to enterprise AI strategy, standards, and best practices.

· Partner with business leaders to understand operational challenges and opportunities.

· Present findings, recommendations, and AI roadmaps to leadership teams.

· Provide technical guidance and mentoring to junior data scientists and analysts.

· Collaborate with global teams and external partners to deliver data-driven solutions.

Critical Competencies for Success

Technical Expertise

· Advanced knowledge of Python, SQL, and modern data science libraries.

· Strong experience with machine learning, deep learning, and statistical modelling.

· Hands-on expertise in Generative AI, Large Language Models (LLMs), RAG frameworks, vector databases, and prompt engineering.

· Experience with Microsoft Azure cloud platform, AWS and Google Cloud would be added advantage.

· Knowledge of MLOps, model deployment, monitoring, and automation frameworks.

· Ability to solve complex business problems using data-driven approaches.

· Strong quantitative reasoning and statistical analysis capabilities.

· Capability to convert ambiguous business challenges into actionable analytical solutions.

· Understanding of manufacturing, engineering, industrial, finance, supply chain, or operational business processes.

· Ability to align AI initiatives with business outcomes and ROI objectives.

· Excellent stakeholder management and presentation skills.

· Ability to explain complex technical concepts to business audiences.

· Strong written and verbal communication skills.

IMI is an inclusive employer; diversity is very important to us, and we want to receive applications from people

from all backgrounds