O pozici
dunnhumby is the global leader in Customer Data Science, partnering with the world’s most ambitious retailers and brands to put the customer at the heart of every decision. We combine deep insight, advanced technology, and close collaboration to help our clients grow, innovate, and deliver measurable value for their customers.
dunnhumby employs nearly 2,500 experts in offices throughout Europe, Asia, Africa, and the Americas working for transformative, iconic brands such as Tesco, Coca-Cola, Nestlé, Unilever and Metro.
Co budeš dělat
- Joining our advanced data science team, you’ll not only investigate, develop, implement, and deploy complex models and applications, but also play a key role in transforming how clients work with data.
- You will help embed data-driven thinking into their decision-making processes, enabling more informed, strategic, and scalable outcomes.
- Working alongside a team of forward-thinking experts, you’ll challenge conventional approaches, shape innovative solutions, and actively redefine how organizations harness data—not just to solve problems, but to fundamentally improve how decisions are made.
Koho hledáme
- Degree in Statistics, Maths, Physics, Economics or similar field
- Programming skills (Python and SQL are a must have)
- Analytical Techniques and Technology
- Logical thinking and problem solving
- Strong communication skills
- Experience with and passion for connecting your work directly to the customer experience, making a real and tangible impact
- Statistical Modelling and experience of applying data science into client problems.
Benefity
- You’ll enjoy the comprehensive rewards package you’d expect from a leading technology company.
- A degree of personal flexibility you might not expect.
- Thoughtful perks, like flexible working hours and your birthday off.
- An investment in cutting-edge technology that reflects our global ambition.
- A nimble, small-business feel that gives you the freedom to play, experiment and learn.
- Thriving networks including dh Gender Equality Network, dh Proud, dh Family, dh One, dh Enabled and dh Thrive.
