Data Scientist - Spendscape

Who You'll Work WithDriving lasting impact and building long-term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance/high reward culture - doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward.In return for your drive, determination, and curiosity, we'll provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever thought possible. Your colleagues—at all levels—will invest deeply in your development, just as much as they invest in delivering exceptional results for clients. Every day, you'll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you won’t find anywhere else.When you join us, you will have:Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey.A voice that matters: From day one, we value your ideas and contributions. You’ll make a tangible impact by offering innovative ideas and practical solutions. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes.Global community: With colleagues across 65+ countries and over 100 different nationalities, our firm’s diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, you’ll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences.World-class benefits: On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well-being for you and your family.Your ImpactAs a Data Scientist, you’ll collaborate with product managers, engineers, and solution leaders to design, implement, and deploy advanced AI/ML models.You will take ownership of end-to-end workflows — from data preparation and modeling to production deployment and monitoring.Your key responsibilities will include applying machine learning and statistical techniques to address high-impact business challenges. You will develop and fine-tune large language models (LLMs) and implement Generative AI (GenAI) solutions tailored to procurement and analytics use cases. Additionally, you will build and deploy scalable APIs using FastAPI to serve models efficiently, while contributing to the design of production-ready, scalable data pipelines and AI services. Ensuring model reliability and fairness through rigorous validation, testing, and monitoring will be a crucial part of your role.You will also stay current with the latest advancements in AI, GenAI, and agentic systems, integrating innovative approaches into practical solutions. Collaboration within an Agile/SCRUM environment and close coordination with cross-functional teams will be essential to successfully deliver impactful outcomes.You’ll work with the Spendscape team in Gurugram. Spendscape is a McKinsey company that combines technology, data science, and domain expertise to help organizations drive spend transparency, advanced analytics, and value capture in procurement.You’ll be part of a global team of data scientists, engineers, and procurement experts, building and scaling AI-powered solutions for clients across industries. Spendscape integrates best-in-class technology, GenAI, and machine learning to deliver impact on complex business problems.Your Qualifications and SkillsBachelor’s or master’s degree in disciplines such as computer science, engineering, or related fields2+ years of deep technical experience in machine learning concepts and algorithmsStrong programming skills in PythonHands-on experience with FastAPI or equivalent frameworksKnowledge of GenAI and LLM technologiesStrong problem-solving and analytical skills with the ability to translate business problems into technical solutionsAbility to work independently and collaboratively in a global team environmentKnowledge of Agentic AI and multi-agent systemsExperience with cloud platforms (AWS, Azure, GCP) and container technologies (Docker/Kubernetes)Familiarity with SQL/NoSQL databasesExposure to MLOps practices (CI/CD for ML, model monitoring, automated testing)