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: Hyderaba d

• 💼 Experience: 7+ Yea r s 📩 How to Apply: Interested candidates can also apply directly via the Infosys Careers Page <https://career.infosys.com/jobdesc?jobReferenceCode=INFSYS-EXTERNAL-253622&rc=0&jobType=norm a l>

🌍 Global stakeholder expo sure🏢 Opportunity to be part of a large-scale transformation jo urney✅ Good to have experience in consumer goods, manufacturing, retail, or related industry dom a ins.

Technical Skills Req uiredProgramming: python (pandas, numpy), Spark

• , GitModeling: supervised & unsupervised lea rningInfrastructure: Cloud (Azure is a plus)Data Science tools/modules: Databricks / ML Flow/ M osaicSolid understanding of statistics, causal inference, and optimiz a tion

Key Responsibil itiesCollaborate with Product team, PO, PAs, business partners & data project leaders to identify business needs and translate them into actionable mea suresCollaborate with business leaders to understand business needs and translate them into actionable AI prod ucts.Design GenAI Evaluation Frameworks GenAI, Agentic and classi c ML.Implement robust evaluation frameworks within key AI providers, including offline metrics, error analysis, and bias dete ctionApply state-of-the-art algorithms and predictive models (Machine Learning/Deep Learning) to answer business prob lems.Model Development: Build, validate, and deploy advanced machine learning models (e.g., CatBoost, XGBoost, deep learning) for forecasting, optimization, and recommendation sys tems.Causal Inference & Experimentation: Apply causal inference techniques and design experiments to measure the impact of intervent ions.Data Strategy: Partner with data engineers to ensure robust data pipelines and scalable architect ures.Business Impact: Translate complex analytics into actionable insights for stakeholders in business like QFS, R&I, Ops, Sales, Marke ting.Innovation: Explore and implement state-of-the-art AI techniques (e.g., generative AI, reinforcement learning) to solve business challe nges.Mentorship: Guide junior data scientists and foster best practices in coding, model governance, and documenta t ion.

Qualifica t ions

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