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- Tasks: Lead data initiatives, manage teams, and develop scalable data models.
- Company: Genpact is a tech-driven company transforming industries with AI and digital innovation.
- Benefits: Enjoy mentorship, continuous learning, and a values-driven culture.
- Why this job: Shape the future of work while solving real-world problems in a dynamic environment.
- Qualifications: Bachelor's degree and 8+ years in data analytics; strong skills in SQL, Python, and team leadership.
- Other info: Join a diverse team of over 140,000 innovators committed to integrity and inclusion.
The predicted salary is between 43200 - 72000 £ per year.
Ready to shape the future of work?
At Genpact, we don’t just adapt to change—we drive it. 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, tech-driven environment, love solving real-world problems, and want to be part of a team that’s shaping the future, 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 .
Inviting applications for the role of Senior Manager, Data Analytics & Data Modelling!
In this role, we are looking for an experienced and results-driven Senior Manager – Data Analytics & Science to lead high-impact data initiatives across our organization. The ideal candidate will have a strong foundation in data analytics, data science, and data modelling, as well as proven experience in building data models and managing data dictionaries and data lineage. This role also requires the ability to work strategically, collaborating with business stakeholders to deliver data-driven insights that influence key decisions.
Responsibilities
- Lead and manage a team of data professionals in executing complex analytics, modeling, and data science projects.
- Design, develop, and maintain scalable data models that support business intelligence, forecasting, and decision-making processes.
- Oversee implementation and governance of data lineage and data dictionary frameworks to ensure transparency, compliance, and data quality.
- Collaborate with cross-functional teams and senior stakeholders on strategic data projects , ensuring alignment with business goals.
- Provide thought leadership on data science methodologies and analytics best practices.
- Translate business requirements into technical solutions through advanced analytics and predictive modeling.
- Drive adoption of data-driven culture across the organization by delivering actionable insights and engaging storytelling through data visualizations.
- Manage data assets, ensuring proper documentation, security, and accessibility.
- Monitor performance of analytics solutions and models and refine based on business needs or new data availability.
Qualifications we seek in you!
Minimum Qualifications
- Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related field.
- 8+ years of relevant experience in data analytics, data science, and data modeling.
- Proven experience in building and maintaining enterprise-level data models.
- Strong working knowledge of data lineage and data dictionary management.
- Proficiency in SQL, Python, R, or other data science tools and frameworks.
- Experience leading data or analytics teams and mentoring junior staff.
- Strong communication and stakeholder management skills.
- Working experience of below skill sets-
- Data Analytics
- Data Modelling
- Data Science
- Building of data models
- Working knowledge of implementation of Strategic project.
- Experience in Data Visualization and Transformation.
Preferred Qualifications/ Skills
- Master’s degree in Data Science, Business Analytics, or related field.
- Experience working on strategic, cross-functional data initiatives with C-level stakeholders.
- Familiarity with cloud data platforms (e.g., Azure, AWS, GCP, Snowflake).
- Knowledge of data governance standards, regulatory compliance, and metadata management.
- Experience with BI and visualization tools such as Power BI, Tableau, or Looker.
- Certification in data science, analytics, or cloud technologies (e.g., Microsoft, AWS, Google).
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 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 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.
Data Scientist employer: Genpact
Contact Detail:
Genpact Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist
✨Tip Number 1
Familiarise yourself with Genpact's AI Gigafactory and their approach to data analytics. Understanding their specific projects and technologies can help you tailor your discussions during interviews, showcasing your genuine interest in their work.
✨Tip Number 2
Network with current or former employees on LinkedIn. Engaging with them can provide insights into the company culture and expectations, which can be invaluable when preparing for interviews.
✨Tip Number 3
Brush up on your skills in SQL, Python, and data visualisation tools like Power BI or Tableau. Being able to demonstrate your technical proficiency in these areas during practical assessments will set you apart from other candidates.
✨Tip Number 4
Prepare to discuss your experience with data governance and compliance. Given the emphasis on data quality and transparency in the job description, being able to articulate your knowledge in these areas will show that you're aligned with Genpact's values.
We think you need these skills to ace Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data analytics, data science, and data modelling. Use specific examples that demonstrate your ability to lead teams and manage complex projects.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data-driven decision-making and how your skills align with Genpact's mission. Mention any experience you have with AI and digital innovation, as these are key aspects of the role.
Showcase Technical Skills: Clearly list your proficiency in SQL, Python, R, and any other relevant tools. Provide examples of how you've used these skills in past roles to solve real-world problems or improve processes.
Highlight Leadership Experience: Since the role involves managing a team, emphasise your leadership experience. Discuss how you've mentored junior staff and led cross-functional projects, showcasing your ability to collaborate with stakeholders.
How to prepare for a job interview at Genpact
✨Showcase Your Technical Skills
Make sure to highlight your proficiency in SQL, Python, R, and any other relevant data science tools during the interview. Be prepared to discuss specific projects where you've successfully built and maintained data models, as this will demonstrate your hands-on experience.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities in real-world scenarios. Think about how you would approach complex data challenges and be ready to explain your thought process clearly, especially when collaborating with cross-functional teams.
✨Emphasise Leadership Experience
Since the role involves leading a team, be sure to discuss your experience in managing data professionals and mentoring junior staff. Share examples of how you've driven a data-driven culture within your previous organisations.
✨Understand the Company’s Vision
Familiarise yourself with Genpact's mission and recent initiatives, particularly around AI and digital innovation. This knowledge will help you align your answers with their goals and show that you're genuinely interested in contributing to their vision.
