Data Scientist - Job Opportunity at Infosys Limited

Bengaluru, India
Full-time
Senior
Posted: April 3, 2025
Hybrid
USD 70,000 - 90,000 annually for Bengaluru market, considering Infosys' position and senior role requirements

Benefits

Comprehensive healthcare and insurance coverage typical of major IT service providers
Professional development and training opportunities through Infosys' learning platforms
Global exposure and project opportunities across diverse industries
Career advancement framework based on technical and leadership tracks

Key Responsibilities

Lead end-to-end machine learning projects from concept to deployment, driving business value through data-driven solutions
Develop and implement advanced statistical models and ML algorithms for complex business problems
Guide technical strategy and architecture decisions for data science initiatives
Collaborate with cross-functional teams to translate business requirements into technical solutions
Mentor junior data scientists and contribute to building team capabilities

Requirements

Education

Master's degree in Computer Science, Statistics, Mathematics or related field

Experience

7 years of experience in data science and machine learning

Required Skills

Expert level knowledge of statistics Machine learning algorithms Natural Language Processing Computer Vision DevOps methodologies Data warehousing Real-time data processing Software configuration management Business strategy Client interfacing SDLC and agile methodologies Project management
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Sauge AI Market Intelligence

Industry Trends

Enterprise-scale AI implementation is driving demand for senior data scientists who can bridge technical expertise with business strategy Integration of MLOps and DevOps practices indicates a shift towards automated, production-ready ML systems Growing emphasis on real-time analytics and streaming data processing reflects the industry's move towards more dynamic decision-making systems

Role Significance

Likely leading a team of 3-5 data scientists with matrix responsibility across multiple projects
Senior position with significant technical leadership and strategic influence on data science initiatives

Key Projects

Enterprise-wide ML model deployment and optimization Cross-functional data strategy implementation Advanced analytics solutions for Fortune 500 clients Technical mentorship and team capability building

Success Factors

Strong balance of technical depth and business acumen Ability to translate complex technical concepts for business stakeholders Experience with enterprise-scale ML deployment Track record of delivering measurable business impact through data science solutions

Market Demand

High demand with sustained growth expected due to enterprise-wide AI transformation initiatives and shortage of senior data science talent

Important Skills

Critical Skills

Production ML deployment experience due to enterprise client focus Statistical modeling expertise for complex business problems DevOps and MLOps capabilities for scalable solutions

Beneficial Skills

Domain expertise in key industries like banking or retail Cloud platform experience Agile project management capabilities

Unique Aspects

Opportunity to work on diverse global projects across industries
Strong focus on combining traditional IT services with cutting-edge AI solutions
Structured approach to career development with clear progression paths

Career Growth

2-3 years typical progression timeline to next level based on project impact and leadership demonstration

Potential Next Roles

Principal Data Scientist Data Science Practice Leader AI/ML Architecture Leader Technical Director

Company Overview

Infosys Limited

Infosys is a global leader in next-generation digital services and consulting, helping clients navigate their digital transformation

Among top 3 Indian IT services companies with strong presence in digital transformation and AI services
Major technology hub in Bengaluru with significant investment in AI/ML capabilities
Process-oriented environment with defined career progression pathways and emphasis on continuous learning
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  • Critical success factors and key skills
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