Data Scientist 4A

Genpact; Bengaluru; Hybrid; INR 1,200,000 - 2,100,000; Full time

Benefits offered by this job

Hybrid work model

World-class learning opportunities

Job summary

Genpact Bengaluru is looking for an Artificial Intelligence Data Scientist to apply advanced AI and machine learning to real-world business challenges. You will develop models, preprocess data, and collaborate with cross-functional teams to deliver impactful insights.

The role emphasizes staying current with AI advances, deploying scalable solutions, and driving decision-making across enterprise platforms in a hybrid work setting.

Qualifications

• Bachelor's or Master's degree in analytics, CS, stats or data science.
• Proven experience with ML models and AI techniques.
• Certifications in deep learning and ML are a plus.

Responsibilities

• Develop and implement ML models and algorithms to solve business problems.
• Collect, clean, and preprocess data for analysis.
• Collaborate with cross-functional teams to deliver solutions.
• Conduct exploratory data analysis and interpret results for actionable recommendations.
• Stay updated with AI advancements to improve methodologies.

Skills

Adaptive Technology

Agile Methodology

Amazon SageMaker

AI / ML

Data Provisioning

Data Validation

Model Validation

Programming skills

Python

Team collaboration

Education

Bachelors - Business Analytics

Bachelors - Computer Science

Bachelors - Statistics

Masters - Data Science

Certifications in Deep Learning

Machine Learning Engineer

Tools

CI/CD

Automation & AutoML

Computer Vision

Job description

Data ScientistReady to turn bold ideas into real-world impact? At Genpact, we don’t just adapt to change, we lead it. AI and digital innovation are transforming the way businesses work, and we’re at the forefront of it. Genpact’s AI Gigafactory, our industry-first accelerator, exemplifies how we scale advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. Whether tackling complex challenges through large-scale models or agentic AI, our breakthrough solutions tackle companies’ most complex challenges.If you thrive in a fast-moving, innovation-driven environment, love building and deploying cutting-edge AI solutions, and want to push the boundaries of what’s possible, this is your moment.Genpact (NYSE: G) is an agentic and advanced technology solutions company. We leverage process intelligence and artificial intelligence to deliver measurable outcomes. With a strong partner ecosystem and decades of client trust, we provide innovative solutions that transform how businesses run. Powered by a team with an active learning mindset and client centricity at its core, we deliver lasting value for the world’s leading enterprises. Get to know us at genpact.com and on LinkedIn, YouTube, X, and Facebook.Job DescriptionThe Artificial Intelligence Data Scientist is responsible for applying advanced AI and machine learning techniques to analyze complex datasets and extract meaningful insights to drive decision-making and innovation within the organization.\\n Roles and Responsibilities: 1. Develop and implement machine learning models and algorithms to solve business problems; 2. Collect, clean, and preprocess data for analysis; 3. Collaborate with cross-functional teams to understand data requirements and deliver solutions; 4. Conduct exploratory data analysis and interpret results to provide actionable recommendations; 5. Stay up-to-date with the latest advancements in AI and data science to continuously improve methodologies and techniques.QualificationsBachelors - Business Analytics, Bachelors - Computer Science, Bachelors - Statistics, Masters - Data ScienceCertificationsCertificate in Deep Learning - Dimensionless TechademyDimensionless Techademy, Professional Machine Learning Engineer - InterPediaInterPediaRequired SkillsAdaptive Technology, Adaptive Technology, Agile Methodology, Amazon SageMaker, Anticipatory Capability, Artificial Intelligence (AI), Asset Management, Automated Machine Learning (AutoML), CI/CD, Collaboration Tools, Computer Vision, Context Awareness, Continuous Delivery, Continuous Integrations, Continuous Testing, Data Provisioning, Data Validation, Design Thinking, Embedded Systems, Executive Presence, Inclusion, Internet of Things (IoT), Machine Learning Model Management, Model Validation, Personal Effectiveness {+ 5 more}LanguageEnglish (Required)Language Proficiency -Proficient - C2Additional Job Location -Job TypeRegularMaster Skill List -Advanced Analytics / AI / MLRemote Type -HybridWork Shift -Day Job (India)Why join Genpact?• Lead AI-powered transformation – Drive innovation and solve real-world business challenges that matter• Make an impact – Help global enterprises solve business challenges that matter• Accelerate your career – Gain hands-on experience, mentorship, and world-class learning opportunities to stay ahead• Work with the best – Join 140,000+ bold thinkers and problem-solvers who push boundaries every day• Thrive in a values-driven culture – Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progressCome join the 140,000+ coders, tech shapers, and growth makers at Genpact and take your career in the only direction that matters: Up.Let’s build tomorrow together.Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation.Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training.