We know life is different for everyone, so at Tesco we are open to flexible working conversations. Whether you're starting out, seeking balance, or navigating life changes like parenthood or caregiving — talk to us. You will spend around 60% of your time working from our offices or sites, and the rest remotely.
Tesco is committed to celebrating diversity and everyone is welcome at Tesco. As a Disability Confident Employer, we're committed to providing a fully inclusive and accessible recruitment process, allowing candidates the opportunity to thrive and inform us of any reasonable adjustments they may require.
Tesco is a diverse and exciting employer, dedicated to being #aplacetogeton, providing career-defining opportunities to all our colleagues. If you chose to join our business, we will provide you with:
- Competitive Compensation packagebased on your experience and skills (Cafeteria, Mobile phone, 15% shopping discount in every Hungarian Tesco store)
- Annual privatehealthcare package
- Performance-based annualbonus
- Minimum of25 paid leave days per year
- Career Growthis not just a cliché - we operate in 3 markets as one Central European business, so there are many opportunities for growth and development
- Solid Business Backgroundwith more than 100 proud years of company history
- We are aGreat Team,and we are not fond of any formalities here
- Modern Officewith great location (e.g.: free parking)
- Flexible working policy
#LI-KT1
#LI-Hybrid
- Engaging with business & functional partners to understand business priorities, ask relevant questions and scope same into a analytical, data science solution document calling out how application of data science will improve decision making- In depth understanding of techniques to prepare the analytical data set leveraging multiple complex data set sources
- Building Statistical models and ML/AI algorithms, Agentic AI features with practitioner level competency
- Writing structured, modularized & computationally efficient production-ready codes using Continuous Improvement principles (development of knowledge assets and reusable modules on GitHub, Wiki, etc.) with expert competency
- Packaging the results in a manner that is easy to consume for the business (insight led, visually easy to understand) and answering the original question)
- Working with the line manager to ensure application / consumption and also think beyond the immediate ask and spot opportunities to address the bigger business questions (if any)
- Keeping up-to-date with the latest in data science and retail analytics, actively taking part in knowledge sharing among colleagues
- Education: University
- Professional experience: 4 years+
- Required English level: Advanced (C1)
- 3+ year experience in data science application preferably in Retail or CPG
- Strong international collaboration skills in cross-locational teams
- Functional experience: Marketing, Supply Chain, Customer, Merchandising, Operations, Finance or Digital
Other required skills: Microsoft Office, Applied Math: Applied Statistics, Design of Experiments, Regression, Decision Trees, Forecasting, Optimization algorithms, Clustering, NLP. Tech: SQL, Hadoop, Python, Tableau, MS Excel, MS PowerPoint, GitHub.
We established our service centre supporting Tesco's operation in the Central European region back in 2019. Our colleagues provide service for Hungary, Czech Republic and Slovakia in several fields: finance, people and payroll services, colleague and customer engagement, customer and product, enterprise analytics. Besides these, we have a modern Technology Hub developing software and applications used by millions of people - customers and colleagues - globally. Our young and dynamic teams are driving and accelerating changes on a global scale, so it is important for us to find colleagues that are open to learn and develop themselves. At Tesco Business Solutions & Technology we support our business in operating efficiently and serving shoppers a little better every day.