Applied Data Scientist

at  Tesco

WHAT WE OFFER

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 package based on your experience and skills (Cafeteria, Mobile phone, 10+5% shopping discount in every Hungarian Tesco store)
• Annual private healthcare package
• Performance-based annual bonus
• Minimum of 25 paid leave days per year
• Career Growth is 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 Background with more than 100 proud years of company history
• We are a Great Team and we are not fond of any formalities here
• Modern Office with great location (e.g.: free parking)
• Flexible Working policy (e.g.: home-office)

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.
Job area
Enterprise Analytics
Job type
Managerial roles
Location
1138. Budapest Váci út 187.
Language requirement
English
Employment type
Full time
Deadline
2024-09-2

ROLES AND RESPONSIBILITIES

• Engaging with business & functional partners to understand business priorities, ask relevant questions and scope same into a analytical 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 algorithms 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

YOU WILL BE GREAT IN THIS ROLE IF YOU HAVE:

• Education: University
• Professional experience: 7 years+
• Required English level: Advanced (C1)
• 6+ year experience in data science application in Retail or CPG
• 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, Spark, Python, Tableau, MS Excel, MS Powerpoint, GitHub.