Lead Data & AI Scientist

Quantium

Since 2002, Quantium have combined the best of human and artificial intelligence to power possibilities for individuals, organisations and society. Our solutions make sense of what has happened and what will, could or should be done to re-shape industries and societies around the needs of the people they serve.

As one of the world's fully diversified data science and AI leaders we operate across every sector of the economy and we're growing fast - with growth comes opportunity! We're passionate about building out our team of smart, fun, diverse and motivated people.

We combine a team of experts that spans data scientists, actuaries, statisticians, business analysts, strategy consultants, engineers, technologists, programmers, product developers, and futurists – all dedicated to harnessing the power of data to drive transformational outcomes for our clients.

We actively foster a culture where our people can stretch themselves to reach their full potential. We also know that work has to work for you, and modern life is fast-paced, and balance can be tricky. You want to work where you are respected and valued as an individual, not a number. Quantium embraces a flexible and supportive environment dedicated to powering possibilities for our team members, clients and partners.

Based in Hyderabad, Quantium India provides vital support to the global business. The teams in India work alongside global teams to deliver high quality analytics solutions to clients.

Role Summary

Product Analytics is leading Quantium's AI transformation. Our team has embraced AI-native ways of working across our analytical workflows, and we're now moving from adoption to transformation — systematically advancing our analytical assets through an agentic maturity framework we designed ourselves.
Our team operates across three domains:
•Retail Products — Building, transforming, and operating Quantium's global flagship analytics products including Q.Checkout and Q.Scan
•AI and Data Science Consulting — Delivering data science and AI consulting engagements for clients across a range of industries, embedding Quantium's analytics and AI capability directly into clients and partner organisations
•AI Enablement — Rethinking how we operate as an analytics function, driving the tools, frameworks, and practices that make AI-native delivery the default

This is a leadership role for someone ready to develop both people and AI-native analytics capability. You'll coordinate a team of AI & Data Scientists, guide them through technical and AI transformation challenges, and maintain your own technical involvement — all while growing your management skills in a collaborative, supportive environment. You'll take the Quantium ways of working to deliver impact to our clients and partners.
We operate globally across Australia, India, the UK, and North America. You'll work across geographies and functions, helping your team deliver high-quality analytics outcomes while actively driving the AI transformation of your domain's workflows and assets.

We believe great managers come in many different forms — technical mentors who guide through expertise, collaborative facilitators who help teams work together, supportive developers who focus on helping others grow, and strategic coordinators who align work with broader goals.
We're not looking for a specific management type. We're looking for someone genuine who wants to help others succeed, is excited about leading through an AI transformation, and is willing to learn and grow alongside their team.

Experience and Qualifications

Technical Foundation
•8+ years of experience in data science or analytics roles, with readiness to take on coordination and leadership responsibilities
•Strong experience with Python and SQL for data analysis and solution development
•Good experience with cloud platforms (e.g. GCP, Azure, AWS) and cloud-based analytics tools
•Solid understanding of data science methods, statistical approaches, and their practical application in commercial contexts
•Familiarity with analytics and delivery best practices, and interest in helping others apply them

AI-Native Capability
•Transformation across a portfolio. You've driven AI adoption or workflow change across a set of assets or a team's ways of working, with targets and tracking. You can describe what you set out to change, what actually moved, and what stalled
•Still hands-on. Active, current use of AI coding and analytics tools such as Claude, Claude Code, Cursor, or GitHub Copilot, to the point where you can sit with a senior engineer, look at their agent setup, and have a useful opinion
•Working understanding of how multi-step agentic workflows are built, evaluated, and maintained: context design, tool definitions, evaluation loops, failure recovery, and human checkpoints
•Awareness of what agentic pipelines cost to run and maintain, including token spend, run time, and review burden, and the point at which automation costs more than it saves
•Ability to frame AI capability to senior stakeholders in outcome terms such as cycle time, capacity released, quality, and risk, rather than tool adoption counts

Readiness for Management
•Interest in supporting and developing others (formal management experience is welcome but not required)
•Good communication and collaboration skills for working with diverse team members across cultures, time zones, and experience levels
•Willingness to learn management skills including goal-setting, feedback, and performance conversations
•Openness to developing your own leadership style with guidance and support
•Comfort holding accountability for outcomes owed to stakeholders in other countries, including escalating and pushing back when needed

Problem-Solving & Adaptability
•Systematic approach to problem-solving with ability to coordinate complex technical work
•Ability to balance technical involvement with team coordination and AI transformation responsibilities
•Commercial understanding, or willingness to develop the business context behind analytics work
•Adaptability and resilience in a rapidly changing technical environment, particularly comfort with the pace of AI evolution

Education & Background
•Degree in engineering, mathematics, statistics, computer science, physics, or a related quantitative field, or equivalent demonstrated capability

What Would Be Great to Have
•Experience mentoring, training, or leading teams — formal or informal
•Coordinate the development of analytics solutions across product initiatives, ensuring quality and consistency in technical approaches
•Retail analytics background, or client-facing consulting experience across other industries (e.g. financial services, government, health)
•Previous exposure to product development environments or cross-functional collaboration
•Experience working across different cultures or in distributed teams
•Understanding of data governance, privacy considerations, and ethical AI practices

What you will do

Lead AI Transformation
•Drive the AI transformation of analytical assets and workflows within your domain, setting targets on our agentic maturity framework and holding the team accountable to progress
•Model AI-native ways of working — using AI tools in your own work and coaching your team to do the same with increasing sophistication
•Make judgement calls on where AI adds value and where human expertise must lead, building this critical thinking capability across your team
•Contribute to shaping our Agentic Development Framework, bringing practical experience from your domain to inform what works at scale
Team Development & Collaboration
•Coordinate analytics projects and support individual growth — helping each team member build both technical depth and AI-native capability
•Collaborate on setting goals, providing feedback, and identifying development opportunities that align with the evolving capability requirements
•Create an environment where team members feel supported to experiment with AI, learn from what doesn't work, and share what does
•Connect team members across different time zones, working styles, and experience levels
Technical Coordination & Strategy
•Coordinate the development of analytics solutions across product initiatives, ensuring quality and consistency in technical approaches
•Stay connected to technical work while developing strategic thinking about team capabilities and the AI maturity of your assets
•Support the adoption of new tools, methods, and agentic practices — helping your team move beyond basic AI usage toward workflow transformation
•Contribute to technical decisions with input from your team and leadership
Cross-Functional Partnership
•Collaborate with clients, Engineering, and other teams to understand needs and priorities
•Translate between technical work and business requirements — increasingly framing analytics capability in terms of AI-native delivery and measurable impact
•Work with other Lead AI & Data Scientists to share approaches, coordinate AI transformation efforts, and avoid duplicating work across domains
•Contribute to planning and estimation processes, factoring in the efficiency gains from AI-native methods

Why Now

Quantium's Product Analytics team is at the frontier of AI transformation in analytics. Here's what makes this a distinctive leadership opportunity:
•You'll lead transformation, not just adoption. Your team already uses AI tools. Your job is to drive the next chapter — turning adoption into measurable workflow transformation using our agentic maturity framework.
•The framework is yours to shape. We're building the Agentic Development Framework as a team. As a Lead, you'll directly influence what gets built, how we measure progress, and how we develop capability.
•The business is investing. AI is Quantium's single largest growth driver, and the leadership capability you build here — leading teams through AI transformation — is increasingly rare and valuable.
•Five human capabilities matter more than ever. In an AI world, curiosity to explore what's possible, critical thinking to assess what's real, optimism to see expanding possibilities, persistence to push through limitations, and agility to keep learning as the tools evolve — these are what you'll model and develop in your team.

Apply now and lead a team that's building the future of AI-native analytics.