At a Glance
- Tasks: Develop innovative methods and perform data analysis to solve complex business problems.
- Company: dunnhumby is a global leader in Customer Data Science, empowering businesses to thrive in a data-driven economy.
- Benefits: Enjoy flexible working hours, your birthday off, and a comprehensive rewards package.
- Why this job: Join a passionate team, work with cutting-edge technology, and make a real impact on global retailers.
- Qualifications: Master’s/PhD in relevant fields, strong statistical skills, and experience with Python, Spark, and SQL.
- Other info: We prioritise diversity and inclusion, offering a supportive environment for all.
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.
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, Meijer, Procter & Gamble and Metro. We’re looking for a talented Senior Research Data Scientist who expects more from their career. It’s a chance to extend and improve dunnhumby’s world class science capabilities. It’s an opportunity to work with a market-leading business to explore new opportunities for us and influence global retailers.
Joining our team, you’ll work with world class and passionate people to apply machine learning, statistical, optimisation and econometric methods to business problems. You’ll contribute to the research and implementation of new approaches to address complex problems and perform data analysis and model validation. You’ll also have the opportunity to present results to both internal teams and clients.
What you’ll be working on:
- Developing innovative methods to exploit dunnhumby’s world class Price & Promotions capabilities
- Supporting our high-performing Price & Promotions experts by implementing new capabilities with significant business impact
- Performing exploratory data analysis and model validation
What we expect from you:
- Master’s degree / PhD in Computer Science, Machine Learning, Applied Statistics, Physics, Engineering or related field
- Strong mathematical and statistical skills
- Experience with Python, Spark and SQL
- Experience implementing and validating a range of machine learning and optimization techniques
- Effective scientific communication for varied audiences
- Autonomy and ownership of projects
- Good understanding of software engineering principles and best practices
What you can expect from us:
We won’t just meet your expectations. We’ll defy them. You’ll enjoy the comprehensive rewards package you’d expect from a leading technology company, along with 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, while maintaining 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 their 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.
Senior Research Data Scientist employer: Up Closets of North Cincinnati
Contact Detail:
Up Closets of North Cincinnati Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Research Data Scientist
✨Tip Number 1
Familiarise yourself with dunnhumby's core values and mission. Understanding their commitment to being 'Customer First' will help you align your discussions and demonstrate how your skills can contribute to their goals during interviews.
✨Tip Number 2
Showcase your experience with machine learning and statistical methods by preparing examples of past projects. Be ready to discuss how you've applied these techniques to solve complex problems, as this will resonate well with the role's requirements.
✨Tip Number 3
Network with current or former employees of dunnhumby on platforms like LinkedIn. Engaging with them can provide insights into the company culture and expectations, which can be invaluable during your interview process.
✨Tip Number 4
Prepare to discuss your understanding of software engineering principles. Since the role requires a good grasp of best practices, being able to articulate your knowledge in this area will set you apart from other candidates.
We think you need these skills to ace Senior Research Data Scientist
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and expectations of a Senior Research Data Scientist at dunnhumby. Tailor your application to highlight how your skills and experiences align with their needs.
Highlight Relevant Experience: In your CV and cover letter, emphasise your experience with machine learning, statistical methods, and programming languages like Python, Spark, and SQL. Provide specific examples of projects where you've successfully implemented these skills.
Craft a Compelling Cover Letter: Write a cover letter that not only showcases your technical abilities but also reflects your passion for customer-centric data science. Mention how you can contribute to dunnhumby's mission of putting the customer first.
Proofread Your Application: Before submitting, carefully proofread your application materials. Check for any grammatical errors or typos, as attention to detail is crucial in a data-driven role. A polished application will make a strong impression.
How to prepare for a job interview at Up Closets of North Cincinnati
✨Showcase Your Technical Skills
As a Senior Research Data Scientist, you'll need to demonstrate your expertise in Python, Spark, and SQL. Be prepared to discuss specific projects where you've implemented machine learning techniques or optimisation methods, and consider bringing examples of your work to illustrate your capabilities.
✨Communicate Effectively
Effective scientific communication is key for this role. Practice explaining complex concepts in simple terms, as you may need to present your findings to both technical and non-technical audiences. Tailor your communication style to suit the audience you're addressing.
✨Understand the Business Context
Dunnhumby focuses on customer data science, so it's crucial to understand how your work impacts business decisions. Research their clients and the industries they operate in, and be ready to discuss how your skills can contribute to their mission of putting the customer first.
✨Demonstrate Autonomy and Ownership
This role requires a high degree of autonomy. Be prepared to share examples of past projects where you took ownership from start to finish. Highlight your problem-solving skills and how you approached challenges independently, showcasing your ability to drive results.