Senior Data Scientist

Infosys; Hyderabad; On-site; INR 3,000,000 - 6,000,000; Full time

Job summary

Infosys is seeking a senior Data Scientist in Hyderabad to design and deploy ML and AI solutions across Research & Innovation, Quality & Food Safety, and Sales. You will impact business outcomes through predictive modeling, causal inference, optimization, and generative AI.

Location: Hyderabad. Experience: 7+ years. Collaborate with product teams and data leaders to translate needs into AI products, build and evaluate GenAI frameworks, and guide junior data scientists.

Qualifications

• 7+ years of Data Science experience in a fast-paced, complex business setting.
• Advanced degree in a field related to CS, math, statistics or ML.

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 for forecasting, optimization, and recommendation systems.
• Model Development: Build, validate, and deploy advanced machine learning models for forecasting, optimization, and recommendation systems.
• Causal Inference & Experimentation: Apply causal inference techniques and design experiments to measure impact.
• 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 various functions.
• Innovation: Explore and implement state-of-the-art AI techniques to solve business challenges.
• Mentorship: Guide junior data scientists and foster best practices in coding, model governance, and documentation.

Skills

Python

Spark

Git

Machine Learning

Statistics

Causal Inference

Optimization

Databricks

MLflow

Mosaic

Azure Cloud

Education

MSc or PhD in CS/Math/Statistics

Tools

Databricks

MLflow

Mosaic

Job description

Job Description

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.

About the Role

Location: Hyderabad

Experience: 7+ Years

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