Senior Data Scientist

About the Role

This role will focus on designing and deploying cutting-edge machine learning and AI solutions to drive business impact across Research & Innovation, Quality & Food Safety, and Sales. You will work on high-impact projects such as predictive modeling, causal inference, optimization, and generative AI applications to unlock insights and accelerate decision-making.

Location | Experience | How to Apply:

Location: Hyderabad

Experience: 7+ Years

How to Apply: Interested candidates can also apply directly via the Infosys Careers Page

Global stakeholder exposure

Opportunity to be part of a large-scale transformation journey

Good to have experience in consumer goods, manufacturing, retail, or related industry domains.

Technical Skills Required

• Programming: python (pandas, numpy), Spark, Git
• Modeling: supervised & unsupervised learning
• Infrastructure: Cloud (Azure is a plus)
• Data Science tools/modules: Databricks / ML Flow/ Mosaic
• Solid understanding of statistics, causal inference, and optimization

Key Responsibilities

• Collaborate with Product team, PO, PAs, business partners & data project leaders to identify business needs and translate them into actionable measures
• Collaborate with business leaders to understand business needs and translate them into actionable AI products.
• Design GenAI Evaluation Frameworks GenAI, Agentic and classic ML.
• Implement robust evaluation frameworks within key AI providers, including offline metrics, error analysis, and bias detection
• Apply state-of-the-art algorithms and predictive models (Machine Learning/Deep Learning) to answer business problems.
• Model Development: Build, validate, and deploy advanced machine learning models (e.g., CatBoost, XGBoost, deep learning) for forecasting, optimization, and recommendation systems.
• Causal Inference & Experimentation: Apply causal inference techniques and design experiments to measure the impact of interventions.
• Data Strategy: Partner with data engineers to ensure robust data pipelines and scalable architectures.
• Business Impact: Translate complex analytics into actionable insights for stakeholders in business like QFS, R&I, Ops, Sales, Marketing.
• Innovation: Explore and implement state-of-the-art AI techniques (e.g., generative AI, reinforcement learning) to solve business challenges.
• Mentorship: Guide junior data scientists and foster best practices in coding, model governance, and documentation.

Qualifications

• More than. 7 years of experience in Data Science within a fast-paced and complex business setting, preferably working as a Data Scientist.
• A MSc, PhD or other Advanced Degree in a field linked to computer science, applied mathematics, statistics, machine learning, or closely related fields
• Experience in Fast-Moving Consumer Goods (FMCG) industry is a plus