hirly

Infosys

Senior Data Scientist

Hyderabad, India

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hirly's read of this role

Role family
Data & ML
Seniority
Senior
Country
IN
Work mode
On-site / unstated
First seen by hirly
30 Sept 2026

Derived automatically from the posting. Upload your resume above to see how the role scores against it.

the posting

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 for this position is Barcelona.

Responsibilities

· Collaborate with business leaders to understand business needs and translate them into actionable AI products.

· 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.

· 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.

Technical requirements

We are looking for people having the following technical skills:

· Programming: python (pandas, numpy), Spark, Git

· Modeling: supervised & unsupervised learning

· Infrastructure : Cloud (Azure is a plus)

· Data Science tools/modules: Databricks / MLFlow/ Mosaic. Microsoft / Foundry

· Solid understanding of statistics, causal inference, and optimization.

Additional responsibilities

We are looking for people having:

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.

Education

Bachelor of Engineering

Original posting on Infosys's site ↗

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