Sr. Data Scientist

Ready 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 and on LinkedIn, YouTube, X, and Facebook.

Job Description

Inviting applications for the role of Data Scientist

We are seeking an experienced and highly motivated Data Scientist to join our dynamic AI & Analytics team. As a Data Scientist, you will be instrumental in leading complex data science projects, from conceptualization and model development to deployment and impact measurement. You will leverage your deep expertise in machine learning, statistical modeling, and data engineering to solve critical business problems for our diverse portfolio of global clients. This role requires a strong blend of technical prowess, strategic thinking, and exceptional communication skills to drive innovation and deliver measurable value.

Responsibilities

• Project Leadership & Strategy
  • Lead the end-to-end development and deployment of advanced analytical and machine learning models to address complex business challenges.
  • Collaborate closely with business stakeholders, product managers, and engineering teams to define problem statements, gather requirements, and translate them into robust data science solutions.
  • Drive the strategic direction of data science initiatives, identifying opportunities for innovation and impact across various industries and functions.
• Model Development & Implementation:
  • Design, develop, and implement predictive, prescriptive, and descriptive models using a variety of machine learning techniques (e.g., supervised, unsupervised, deep learning, reinforcement learning).
  • Conduct rigorous data exploration, feature engineering, and model validation to ensure accuracy, robustness, and interpretability.
  • Optimize model performance and scalability for production environments, collaborating with MLOps and engineering teams.
• Data Analysis & Insight Generation:
  • Perform advanced statistical analysis and data mining on large, complex datasets to uncover actionable insights and trends.
  • Develop compelling data visualizations and dashboards to communicate findings effectively to technical and non-technical audiences.
  • Provide expert guidance on experimental design, A/B testing, and causal inference.
• Mentorship & Thought Leadership:
  • Mentor junior data scientists, providing technical guidance, code reviews, and fostering their professional growth.
  • Stay abreast of the latest advancements in data science, machine learning, and AI, applying cutting-edge techniques where appropriate.
  • Contribute to Genpact's thought leadership through internal presentations, external publications, and participation in industry forums.
• Quality & Governance:
  • Ensure the highest standards of data quality, model governance, ethical AI practices, and compliance with relevant regulations.
  • Document methodologies, code, and findings thoroughly for reproducibility and knowledge sharing

Qualifications we seek in you!

• Relevant hands-on experience in data science, machine learning, or advanced analytics, preferably in a consulting or enterprise setting.
• Proven track record of leading and delivering impactful data science projects from inception to production.
• Programming: Expert proficiency in Python (Numpy, Pandas, Scikit-learn, TensorFlow/Keras/PyTorch) and/or R.
• Data Querying: Advanced SQL skills for data extraction, manipulation, and analysis. Experience with NoSQL databases is a plus.
• MLOps: Familiarity with MLOps principles, tools, and practices for model deployment, monitoring, and lifecycle management (e.g., Docker, Kubernetes).
• Statistical Modeling: Deep understanding and application of statistical concepts, hypothesis testing, regression analysis, time series analysis, and experimental design.
• Machine Learning: Strong expertise in various machine learning algorithms (e.g., classification, regression, clustering, dimensionality reduction, natural language processing, computer vision).
• Data Visualization: Proficiency with tools like Tableau, Power BI, Matplotlib, Seaborn, or Plotly for effective data storytelling.
• Exceptional analytical and problem-solving abilities with a keen eye for detail.
• Superior communication, presentation, and storytelling skills, capable of explaining complex technical concepts to non-technical audiences.
• Strong leadership capabilities, with experience mentoring and guiding team members.
• Ability to manage multiple projects simultaneously, prioritize effectively, and thrive in a fast-paced, client-focused environment.
• High degree of intellectual curiosity and a continuous learning mindset.
• Bachelor's degress in Computer Science, Statistics, Mathematics, Engineering, Operations Research, Economics, or a related quantitative field. A Bachelor's degree with exceptional relevant experience will also be considered.

Qualifications

Bachelors - Business Analytics, Bachelors - Computer Science, Bachelors - Statistics, Masters - Data Science

Certifications

Alteryx Designer Core Certification - Alteryx AcademyAlteryx Academy, Certificate in Deep Learning - Dimensionless TechademyDimensionless Techademy, Professional Machine Learning Engineer - InterPediaInterPedia

Required Skills

Adaptive Technology, Agile Methodology, Artificial Intelligence (AI), Asset Management, Automated Machine Learning (AutoML), CI/CD, Client Relations, Collaboration Tools, Context Awareness, Continuous Delivery, Continuous Integrations, Continuous Testing, Data Validation, Design Thinking, Executive Presence, Inclusion, Machine Learning Model Management, Model Validation, Personal Effectiveness, Personalization, Statistical Models, System Performance Monitoring

Language

English

Language Proficiency -

Advanced - C1

Additional Job Location -

Job Type

Regular

Master Skill List -

Advanced Analytics / AI / ML

Remote Type -

Office

Work Shift -

Any (Philippines)

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 progress

Come 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.