Data Scientist | Full Onsite | Centris, QC

Genpact; Quezon City; On-site; PHP 900,000 - 1,300,000; Full time

Job summary

Genpact is seeking an experienced Data Scientist to join the AI & Analytics team at Centris, QC. You will lead end-to-end development and deployment of advanced analytics and ML models for global clients, working closely with product managers and engineering to translate business problems into data-driven solutions.

The role requires strong expertise in Python, SQL, ML, and data visualization, with a proven track record in production deployments and governance.

Qualifications

• Experience in data science, ML, or advanced analytics in an enterprise/consulting setting.
• Proven track record delivering production-ready data science projects.
• Strong programming in Python and SQL for data extraction and modeling.

Responsibilities

• Lead end-to-end development and deployment of ML models.
• Collaborate with stakeholders to define problems and translate into data science solutions.
• Design, validate, and deploy predictive, prescriptive, and descriptive models.
• Perform data exploration, feature engineering, and model evaluation.
• Guide governance, model monitoring, and ethical AI practices.

Skills

Python

SQL

Machine Learning

Data Visualization

Communication

Leadership

Education

Bachelor's in CS/Stats/Math/Engineering

Tools

Docker

Kubernetes

ML frameworks

Tableau/Power BI

Job description

Data Scientist | Full Onsite | Centris, QC

Ready to build the future with AI?

At Genpact, we don’t just keep up with technology—we set the pace. AI and digital innovation are redefining industries, and we’re leading the charge. Genpact’s AI Gigafactory, our industry-first accelerator, is an example of how we’re 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, 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 advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting‑edge solutions – we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation, our teams implement data, technology, and AI to create tomorrow, today. Get to know us at genpact.com and on LinkedIn, X, YouTube, and Facebook.

We are seeking an experienced and highly motivated Data Scientist to join our dynamic AI & Analytics team. 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.
• 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 degrees in Computer Science, Statistics, Mathematics, Engineering, Operations Research, Economics, or a related quantitative field.
• Amenable to working on a mid‑shift schedule.
• Willing to report onsite at Centris, Quezon City as required.
• Lead AI‑first transformation – Build and scale AI solutions that redefine industries
• Make an impact – Drive change for global enterprises and solve business challenges that matter
• Accelerate your career—Gain hands‑on experience, world‑class training, mentorship, and AI certifications to advance your skills
• Grow with the best – Learn from top engineers, data scientists, and AI experts in a dynamic, fast‑moving workplace
• Committed to ethical AI – Work in an environment where governance, transparency, and security are at the core of everything we build
• 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, 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.