Shape the Future of AIJoin one of the UK's fastest-growing companies and become a Professional Development Expert in Artificial Intelligence.

View Roles

Data Scientist

Genpact
London
1 week ago
Create job alert

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’sAI 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 toagentic 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 implementdata, technology, and AI to create tomorrow, today. Get to know us atgenpact.comand onLinkedIn,X,YouTube, andFacebook.

Inviting applications for the role ofSenior Manager, Data Analytics & Data Modelling!

In this role, we are looking for an experienced and results-drivenSenior Manager – Data Analytics & Scienceto 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 ofdata lineageanddata dictionaryframeworks to ensure transparency, compliance, and data quality.
  • Collaborate with cross-functional teams and senior stakeholders onstrategic 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 ofdata lineageanddata dictionarymanagement.
  • 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-
  1. Data Analytics
  2. Data Modelling
  3. Data Science
  4. 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.

Related Jobs

View all jobs

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Automate Your Machine Learning Jobs Search: Using ChatGPT, RSS & Alerts to Save Hours Each Week

ML jobs are everywhere—product companies, labs, consultancies, fintech, healthtech, robotics—often hidden in ATS portals or duplicated across boards. The fastest way to stay on top of them isn’t more scrolling; it’s automation. With keyword-rich alerts, RSS feeds, and a reusable ChatGPT workflow, you can bring relevant roles to you, triage them in minutes, and tailor strong applications without burning your evenings. This is a copy-paste playbook for www.machinelearningjobs.co.uk readers. It’s UK-centric, practical, and designed to save you hours each week. What You’ll Have Working In 30 Minutes A role & keyword map spanning LLM/NLP, Vision, Core ML, Recommenders, MLOps/Platform, Research/Applied Science, and Edge/Inference optimisation. Shareable Boolean searches you can paste into Google & job boards to cut noise. Always-on alerts & RSS feeds delivering fresh roles to your inbox/reader. A ChatGPT “ML Job Scout” prompt that deduplicates, scores fit, and outputs tailored actions. A lightweight pipeline tracker so deadlines and follow-ups never slip.

10 Machine‑Learning Recruitment Agencies in the UK You Should Know (2025 Job‑Seeker Guide)

With deep‑learning projects now integral across healthcare, finance and tech, UK demand for machine‑learning talent is booming. Lightcast shows +50 % YoY growth in UK adverts referencing “machine learning,” “deep learning,” “computer vision” or “reinforcement learning” in Q1 2025. Monthly vacancies sit around 1,800–2,100, but certified ML specialists number fewer than 15,000. Specialist recruiters help candidates access hidden roles, competitive packages, and structured interview prep. How we screened: Only UK‑registered agencies with clear ML/AI or Data practices Agencies that posted ≥ 5 UK ML roles between March and June 2025

Machine Learning Jobs Skills Radar 2026: Emerging Tools, Frameworks & Platforms to Learn Now

Machine learning is no longer confined to academic research—it's embedded in how UK companies detect fraud, recommend content, automate processes & forecast risk. But with model complexity rising and LLMs transforming workflows, employers are demanding new skills from machine learning professionals. Welcome to the Machine Learning Jobs Skills Radar 2026—your annual guide to the top languages, frameworks, platforms & tools shaping machine learning roles in the UK. Whether you're an aspiring ML engineer or a mid-career data scientist, this radar shows what to learn now to stay job-ready in 2026.