Lead Consultant Data Scientist

Ready to shape the future of work

At Genpact we dont just adapt to changewe drive it. AI and digital innovation are redefining industries and were leading the charge. Genpacts AI Gigafactory our industry-first accelerator is an example of how were scaling advanced technology solutions to help global enterprises work smarter grow faster and transform at scale. From large-scale models to agentic AI our breakthrough solutions tackle companies most complex challenges.

If you thrive in a fast-moving tech-driven environment love solving real-world problems and want to be part of a team thats shaping the future this is your moment.

Genpact (NYSE : G) is anadvanced technology services and solutions company that deliverslastingvalue for leading ourdeep business knowledge operational excellence and cutting-edge solutions we help companies across industries get ahead and stay by curiosity courage and innovationour teamsimplementdata technology and AItocreate tomorrow to know us onLinkedInXYouTube andFacebook.

Inviting applications for the role of Assistant Manager Data Scientist.

In this role you are responsible for data collection cleaning exploratory analysis feature engineering model development and integration of AI / ML solutions into dashboards and applications. The Data Scientist collaborates with cross-functional teams to ensure models are aligned with business objectives reproducible and scalable.

This role supports initiatives such as demand forecasting classification workforce analytics. By leveraging predictive modelling NLP and AI-driven insights the Data Scientist helps Mars make data-driven decisions optimize operations and enhance customer and employee experiences across its multinational business functions.

Responsibilities

Model Development & Statistical Analysis - Design develop and optimize machine learning deep learning and statistical models to solve complex business problems.

GenAI & LLM Integration Implement and integrate AI / ML models into GenAI and Agentic AI applications using LangChain LangGraph OpenAI APIs RAG pipelines and vector databases.

End-to-End ML Pipelines Build deploy and maintain scalable ML pipelines from data ingestion and preprocessing to model deployment monitoring and lifecycle management.

Production Deployment & MLOps Deploy models as APIs or services using Docker Kubernetes FastAPI and cloud platforms (AWS SageMaker GCP Vertex AI Azure ML) while implementing CI / CD for automated testing and versioning.

Performance Monitoring & Reliability Monitor model performance in production detect drift or degradation and establish alerting mechanisms to ensure reliability compliance and governance.

Analytics Integration Embed models into real-time dashboards and analytics applications to deliver actionable insights for business and HR stakeholders.

Governance & Compliance Ensure model explainability (XAI) security audit logging and adherence to ethical regulatory and enterprise standards.

Knowledge Sharing - Conduct and participate in training sessions workshops and technical discussions to share insights AI / ML techniques and best practices with team members.

Stakeholder Communication - Translate complex model results analytics and AI-driven insights into clear actionable recommendations for business and non-technical stakeholders.

Documentation & Enablement - Create well-structured documentation reproducible workflows and explanatory reports to support model adoption operational handovers and team learning.

Cross-Functional Collaboration - Works closely with senior data scientists engineers and product teams to implement AI / ML solutions ensuring alignment with project requirements and business objectives.

Independent Contribution - Executes tasks such as data cleaning exploratory analysis feature engineering and baseline model development under guidance contributing to end-to-end AI / ML workflows

Stakeholder Alignment - Assists in presenting findings visualizations and insights to business and HR stakeholders translating technical results into actionable recommendations.

Qualifications We Seek in You!

Minimum Qualifications / Skills

Bachelors or Masters degree in data science Computer Science Statistics Mathematics or a related quantitative field.

Hands-on experience in data analysis machine learning or AI projects preferably in corporate or academic settings.

Certification in areas like GenAI Databricks etc.

Preferred Qualifications / Skills

Hands-on experience in data preprocessing exploratory data analysis and feature engineering to support ML and AI model development.

Knowledge of machine learning deep learning and NLP techniques for classification regression clustering and predictive modelling.

Proficiency in Python SQL ML / DL frameworks (TensorFlow PyTorch Scikit-learn) and familiarity with cloud platforms (AWS Azure GCP) and data visualization tools.

Experience integrating models into dashboards analytics tools and prototype AI applications.

Familiarity with MLOps practices model monitoring CI / CD workflows and cloud platforms (AWS Azure GCP).

Ability to translate business problems into data-driven solutions and communicate insights to stakeholders effectively.

Why join Genpact

Be a transformation leader Work at the cutting edge of AI automation and digital innovation

Make an impact Drive change for global enterprises and solve business challenges that matter

Accelerate your career Get hands-on experience mentorship and continuous learning opportunities

Work with the best Join 140000 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 progress

Come join the tech shapers and growth makers at Genpact and take your career in the only direction that matters : Up.

Lets 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.

Required Experience :

Contract

Key Skills

Laboratory Experience,Immunoassays,Machine Learning,Biochemistry,Assays,Research Experience,Spectroscopy,Research & Development,cGMP,Cell Culture,Molecular Biology,Data Analysis Skills

Employment Type : Full-Time

Experience : years

Vacancy : 1