At a Glance
- Tasks: Lead AI transformation and deliver innovative analytics projects for ASDA.
- Company: Join Quantium, a global leader in data science and AI.
- Benefits: Enjoy flexible work arrangements, continuous learning, and comprehensive health benefits.
- Other info: Dynamic environment with opportunities for career growth and collaboration.
- Why this job: Shape the future of retail with cutting-edge AI applications and impactful strategies.
- Qualifications: 8+ years in retail or CPG, strong data analysis skills, and senior stakeholder influence.
The predicted salary is between 80000 - 100000 £ per year.
Quantium is a world leader in data science and artificial intelligence, established in Australia in 2002. With over 1,200 people across 14 locations, we partner with the world’s largest corporations to unlock value from data and analytics. Our Leeds team is expanding to support ASDA through an exciting period of transformation and AI‑enabled innovation.
How will you make an impact?
- Strategic client partnership: Act as a trusted advisor to ASDA’s senior stakeholders, deeply understanding their needs across range, price, promotions, and customer strategy, identifying challenges and connecting them to innovative solutions.
- AI transformation leadership: Help shape and deliver ASDA’s AI transformation—from AI‑powered retail solutions to AI operations optimisation—by identifying high‑impact use cases and guiding their implementation.
- Commercial solution delivery: Lead the design and delivery of high‑quality analytics projects using Quantium’s suite of products (Q.Checkout, Range Toolkit, Q.Promo, Q.Digital) and bespoke consulting projects that drive measurable ROI for ASDA.
- Customer strategy enablement: Support the implementation of ASDA’s data‑driven customer strategy, leveraging Quantium’s deep customer data capabilities and insights.
- Partnership growth: Expand our engagement by identifying new opportunities to add value—extending existing capabilities or introducing innovative analytics and AI solutions that solve emerging business challenges.
- Product innovation: Provide valuable feedback to Quantium’s product teams to ensure our solutions continue to evolve based on real client needs and market dynamics.
The superpowers you'll be bringing to the team
- Retail or CPG expertise: Approximately 8+ years of experience in grocery retail, either through consultancy or direct industry experience in buying, category management, sales, commercial insight, or supplier‑side roles.
- Data and analytics fluency: Strong knowledge and experience analysing customer, transaction, or sales data in a Retail or CPG context; translating data into actionable commercial insights.
- Senior stakeholder influence: Proven success building trusted relationships with senior stakeholders, influencing and negotiating to achieve positive outcomes.
- AI curiosity and capability: Genuine interest in AI applications within retail and ability to educate clients on practical AI use cases.
- Agile problem‑solving: Ability to thrive in a dynamic, regularly changing environment, juggling multiple stakeholders and projects while maintaining focus on strategic priorities.
- Independent self‑starter: Proactive, resourceful, and comfortable working autonomously; anticipates client needs and takes initiative to solve problems creatively.
- Commercial acumen: Strong business sense with the ability to identify revenue opportunities, articulate value propositions, and confidently close commercial conversations.
What could your Quantium experience look like?
- Working at Quantium will allow you to challenge your imagination. You will solve complex problems using rigour and precision while asking great questions.
- You’ll shape strategy, not just execute it, working directly with senior leaders who are hungry for innovation.
- By Joining the Quantium Team, you'll get to Forge your path: Many of our team members have moved across different teams or offices; you’ll have the freedom to shape your career.
- Find your tribe: Embrace diversity and connect with like‑minded colleagues.
- Make an impact: Your contributions will resonate, regardless of your role or rank.
- Shape the future of retail: Work on genuinely innovative AI applications unique to UK grocery retail, pioneering new approaches rather than implementing existing playbooks.
Benefits
- Flexible work arrangements: Achieve work‑life balance with hybrid working (3 days per week at ASDA’s offices in Leeds, flexibility for remaining days).
- Remote working: Work outside your assigned home location for up to 2 months each year.
- Continuous learning: Participate in the Analytics Community to foster development, thought leadership and technical excellence.
- Life assurance.
- Income protection.
- Private medical insurance.
Quantium’s recruitment process involves the collection and use of personal information. For more information, see our Candidate Data Collection Notice.
Lead Consultant employer: Quantium South Africa
At Quantium, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the heart of Leeds. Our commitment to employee growth is evident through tailored development programmes and opportunities to lead transformative projects in the retail sector, ensuring that our team members not only contribute to impactful initiatives but also advance their careers in a supportive environment.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Consultant
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We think you need these skills to ace Lead Consultant
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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How to prepare for a job interview at Quantium South Africa
✨Brush Up on Your Statistics
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
