Applied Data Science Manager

Dunnhumby; Gurugram District; On-site; INR 3,500,000 - 6,000,000; Full time

Job summary

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’re looking for an Applied Data Science Manager who will lead a team of Applied Data Scientists and distil complex problems into compelling insights using machine learning and human creativity to deliver effective solutions for clients.

Qualifications

• Degree in Engineering, Statistics, Maths, Physics, Economics or similar field.
• Programming skills (Python, PySpark, R, SQL).
• Logical thinking and problem solving abilities.
• Strong communication skills and stakeholder management.
• Analytical techniques and technology familiarity.
• 8+ years of experience in data science and team management.

Responsibilities

• Lead and mentor a team of Applied Data Scientists to deliver insights and impact for clients.
• Translate complex problems into actionable analytics and deploy ML-based solutions.
• Collaborate with cross-functional teams to shape data science offerings for media clients.

Skills

Python

PySpark

R

SQL

Education

Engineering/Statistics/Maths/Economics background

Job description

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 Science Manager who expects more from their career.

You will manage and lead a team of Applied Data Scientists and 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 data science team which supports the Media offerings for our clients, you be required to 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 Engineering, Statistics, Maths, Physics, Economics or similar field
• Programming skills (Python, Pyspark, R, SQL)
• Logical thinking and approach to problem solving
• Strong communication skills and stakeholder management
• Analytical Techniques and Technology
• 8+ years of experience in data science and team management experience

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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