At a Glance
- Tasks: Join our team to solve complex problems and deliver impactful data-driven solutions.
- Company: dunnhumby is a global leader in Customer Data Science, focused on putting customers first.
- Benefits: Enjoy flexible working hours, your birthday off, and a comprehensive rewards package.
- Why this job: Be part of a dynamic team that values creativity and innovation in data science.
- Qualifications: 5-7 years experience in data science with skills in Python, SQL, and statistical modeling.
- Other info: We prioritize diversity and inclusion, fostering an environment where everyone can thrive.
The predicted salary is between 43200 - 72000 £ per year.
dunnhumby is the global leader in Customer Data Science, empowering businesses everywhere to compete and thrive in the modern data-driven economy. We always put the Customer First.
Our mission: to enable businesses to grow and reimagine themselves by becoming advocates and champions for their Customers. With deep heritage and expertise in retail – one of the world’s most competitive markets, with a deluge of multi-dimensional data – dunnhumby today enables businesses all over the world, across industries, to be Customer First.
We’re looking for a Senior 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 applied 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
- 5 to 7 years of experience required.
- Degree in Statistics, Maths, Physics, Economics or similar field.
- Programming skills (Python and SQL are a must have).
- Analytical Techniques and Technology.
- Experience with and passion for connecting your work directly to the customer experience, making a real and tangible impact.
- Logical thinking and problem solving.
- Strong communication skills.
- Stakeholder Management.
- Statistical Modelling and experience of applying data science into client problems.
- Category management experience desirable but not essential.
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 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.
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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Senior Applied Data Scientist employer: ENGINEERINGUK
Contact Detail:
ENGINEERINGUK Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Applied Data Scientist
✨Tip Number 1
Familiarize yourself with the latest trends in Customer Data Science. Understanding how businesses leverage data to enhance customer experiences will help you align your skills with dunnhumby's mission.
✨Tip Number 2
Showcase your experience with machine learning and statistical modeling in your discussions. Be prepared to discuss specific projects where you've made a tangible impact on customer experience through data-driven solutions.
✨Tip Number 3
Highlight your programming skills, especially in Python and SQL. Be ready to demonstrate your ability to analyze complex datasets and derive actionable insights during interviews.
✨Tip Number 4
Prepare to discuss your stakeholder management experience. Being able to communicate effectively with various teams and clients is crucial for a Senior Applied Data Scientist role at dunnhumby.
We think you need these skills to ace Senior Applied Data Scientist
Some tips for your application 🫡
Understand the Company: Dive deep into dunnhumby's mission and values. Familiarize yourself with their approach to Customer Data Science and how they empower businesses. This will help you tailor your application to align with their goals.
Highlight Relevant Experience: Make sure to emphasize your 5 to 7 years of experience in data science, particularly your skills in Python and SQL. Provide specific examples of how you've applied analytical techniques to solve client problems.
Showcase Communication Skills: Since strong communication skills are essential for this role, include examples in your application that demonstrate your ability to convey complex data insights clearly to stakeholders.
Tailor Your CV and Cover Letter: Customize your CV and cover letter to reflect the job description. Mention your passion for connecting data science work to customer experiences and any relevant category management experience, even if it's not essential.
How to prepare for a job interview at ENGINEERINGUK
✨Showcase Your Analytical Skills
As a Senior Applied Data Scientist, it's crucial to demonstrate your analytical techniques and problem-solving abilities. Prepare examples from your past experiences where you successfully applied statistical modeling or machine learning to solve complex client problems.
✨Connect with the Customer Experience
Dunnhumby emphasizes a Customer First approach. Be ready to discuss how your work has directly impacted customer experiences in previous roles. Highlight specific projects where your insights led to tangible improvements for clients.
✨Demonstrate Programming Proficiency
Since programming skills in Python and SQL are essential, be prepared to discuss your experience with these languages. You might even be asked to solve a coding challenge, so brush up on your technical skills and be ready to showcase your coding capabilities.
✨Communicate Effectively
Strong communication skills are vital for this role. Practice explaining complex data science concepts in simple terms, as you may need to present your findings to stakeholders who may not have a technical background. Clear communication can set you apart from other candidates.