Senior Data Scientist
Infosys · Hyderabad · onsite · Posted 21d ago
Undisclosed7–12 yrsfulltimeSourced from
About a minute. You'll make an account on the way through.
About this role
Job DescriptionThis 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.
Roles 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, RI, 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 RequirementWe 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 ResponsibilityWe 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.
Educational RequirementBachelor of Engineering
Preferred SkillsTechnology->AI-Data science->Data Science - Basic,Technology->AI-Generative AI->Generative AI - Basic,Technology->Cloud Platform->Azure Analytics Services->Azure Databricks
Service LineData Analytics Unit
Roles 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, RI, 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 RequirementWe 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 ResponsibilityWe are looking for people having:
Educational RequirementBachelor of Engineering
Preferred SkillsTechnology->AI-Data science->Data Science - Basic,Technology->AI-Generative AI->Generative AI - Basic,Technology->Cloud Platform->Azure Analytics Services->Azure Databricks
Service LineData Analytics Unit
Sourced from naukri
Skills
Data Strategycloud platformdata scientistconsumer goodsAnalyticsApplied MathematicsAzure AnalyticsDatabrickscloudAlgorithmsDeep LearningAzure DatabricksFood SafetyAi SolutionsMicrosoft AzureData PipelineData ScienceArtificial Intelligence
About Infosys

Infosys
IT Services & Consulting
323.6k+
employees
1981
45 years old
Bengaluru/Bangalore, Karnataka
India
About
Infosys is a global leader in next-generation digital services and consulting.
Industries
IT Services & ConsultingConsulting
Employee ratings
48,765 reviews
3.5/ 5
Culture
3.6
Career growth
2.6
Work-life
3.6
Employees rate it well for
Salary10252Work Life Balance6251Work Culture5404Learning4530Appraisal3780
Find them on