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