Assistant Vice President], [Delivery Lead] in London

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.

We are seeking a highly skilled Senior Data Scientist / Delivery Manager with strong expertise in retail use case development, financial analysis, and accounting principles. In this role, you will lead the design, development, and deployment of advanced analytics solutions that drive measurable business impact across merchandising, supply chain, pricing, store operations, and financial performance.

You will partner closely with cross-functional leaders in Finance, FP&A, Merchandising, Marketing, Operations, and IT to translate business challenges into scalable data science products.

• Use Case Development & Solution Design
• Identify, prioritise, and develop high-value analytics use cases across retail functions such as demand forecasting, price & promotion optimisation, inventory planning, customer segmentation, and store performance analytics.
• Translate business needs into analytical problem statements, selecting the right methodologies and data sources.
• Build business cases, quantify ROI, and work with stakeholders to ensure adoption.
• Advanced Modelling & Analytical Execution
• Develop, validate, and deploy machine learning/statistical models (e.g. time-series forecasting, recommendation systems, propensity models, optimisation algorithms).
• Apply financial modelling and accounting understanding to design solutions that tie directly to revenue, margin, cost, and profitability metrics.
• Conduct exploratory data analysis, feature engineering, and model performance tracking.
• Data Architecture & Engineering Collaboration
• Partner with data engineering teams to define data requirements, improve data quality, and optimise pipelines for scalable model deployment.
• Work within cloud environments (AWS, GCP, Azure) to operationalise models and automate analytics workflows.
• Business Partnership & Communication
• Present insights and model outcomes to senior executives in Finance, Operations, and Commercial teams.
• Build strong relationships with business units to enable data-driven decision-making.
• Conduct workshops and analytics roadmapping sessions with functional leaders.
• Governance, ML Ops & Continuous Improvement
• Implement best practices in model governance, version control, monitoring, and documentation.
• Lead continuous improvement initiatives to refine models, data processes, and solution performance.
• Delivery Leadership & Program Management
• Oversee the delivery of multiple concurrent analytics and data science projects from scoping to deployment.
• Manage timelines, budgets, quality standards, and stakeholder expectations for all analytics deliverables.
• Establish governance frameworks, delivery methodologies, and best practices for analytics program execution.
• Technical & Analytical Oversight
• Guide data scientists, analysts, and engineers in developing advanced analytical models (e.g. predictive modelling, optimisation, NLP, computer vision).
• Ensure quality, scalability, and interpretability of analytics outputs.
• Champion the use of modern data science tools, AI/ML platforms, and cloud-based analytics ecosystems (Azure, AWS, or GCP).
• Team Leadership & Talent Development
• Lead, mentor, and inspire cross-functional analytics teams to deliver excellence.
• Foster a culture of innovation, collaboration, and continuous learning.
• Support hiring, training, and career development of analytics talent.
• Strategic Impact & Innovation
• Identify and prioritise high-value use cases across the CGR lifecycle such as demand forecasting, trade optimisation, portfolio mix analysis, consumer segmentation, and digital shelf analytics.
• Drive adoption of advanced analytics solutions across the organisation to unlock revenue growth and operational efficiency.
• Stay abreast of emerging technologies and trends in AI, Gen AI, and data science relevant to the CGR domain.

• Bachelors - Business Analytics, Bachelors - Computer Science, Bachelors - Statistics, Masters - Data Science
• Certifications - Azure Data Engineering (DP-203), Databricks Data Engineer Associate, Microsoft Azure Data Fundamentals, Microsoft Certified: Power BI Data Analyst Associate

• Actuarial Services, Agile Methodology, AI/ML Ops, Business Analysis, Business Intelligence (BI), Data Analytics, Data Management, Data Visualization, Executive Presence, Inclusion, Insight Generation, Modernising Operations, People Leadership

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

Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, colour, 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.