Applied Data Scientist

Dunnhumby; City of Westminster; On-site; GBP 43,000; Full time

Job summary

A global leader in Customer Data Science is seeking an Applied Data Scientist in London. This role involves using machine learning to transform complex problems into actionable insights. You will join a dynamic team to develop and implement innovative data solutions. Candidates must possess a degree in a related field and strong programming skills in Python and SQL. The company offers competitive compensation, a flexible working environment, and a commitment to diversity and inclusion.

Benefits

Flexible working hours

Birthday off

Investment in cutting-edge technology

Qualifications

• Degree in a related field like Statistics, Maths, or Economics.
• Programming skills in Python and SQL are essential.
• Proficient in analytical techniques and technology.

Responsibilities

• Investigate, develop, implement and deploy complex applications.
• Connect work to customer experience, delivering tangible impacts.

Skills

Programming skills (Python and SQL)

Analytical techniques and technology

Logical thinking and problem solving

Strong communication skills

Statistical modelling

Education

Degree in Statistics, Maths, Physics, Economics or similar field

Job description

Applied Data Scientist

dunnhumby London

£42,852 per year - estimated ?

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.

We're looking for an Applied Data Scientist who expects more from their career. It's a chance to apply your expertise to distil complex problems into compelling insights using the best of machine learning and human creativity to deliver effective and impactful solutions for clients. Joining our advanced data science team, you'll investigate, develop, implement and deploy a range of complex applications and components while working alongside super‑smart colleagues challenging and rewriting the rules, not just following them.

What we expect from you

• 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.

What you can expect from us

We won't just meet your expectations. We'll defy them. So you'll enjoy the comprehensive rewards package you'd expect from a leading technology company. But also, a degree of personal flexibility you might not expect. Plus, thoughtful perks, like flexible working hours and your birthday off.

You'll also benefit from an investment in cutting‑edge technology that reflects our global ambition. But with a nimble, small‑business feel that gives you the freedom to play, experiment and learn.

And we don't just talk about diversity and inclusion. We live it every day - with thriving networks including dh Gender Equality Network, dh Proud, dh Family, dh One, dh Enabled and dh Thrive as the living proof. We want everyone to have the opportunity to shine and perform at your best throughout our recruitment process. Please let us know how we can make this process work best for you.

Our approach to Flexible Working

At dunnhumby, we value and respect difference and are committed to building an inclusive culture by creating an environment where you can balance a successful career with your commitments and interests outside of work.

We believe that you will do your best at work if you have a work / life balance. Some roles lend themselves to flexible options more than others, so if this is important to you please raise this with your recruiter, as we are open to discussing agile working opportunities during the hiring process.

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