At a Glance
- Tasks: Transform complex business problems into data science solutions using advanced AI algorithms.
- Company: Join dunnhumby, a global leader in Customer Data Science with a collaborative culture.
- Benefits: Enjoy flexible working hours, your birthday off, and a comprehensive rewards package.
- Why this job: Make a real impact in the data science field while learning from industry experts.
- Qualifications: Degree in a relevant field and strong skills in statistical methodologies and programming.
- Other info: Thrive in an inclusive environment with excellent career growth opportunities.
The predicted salary is between 36000 - 60000 £ per year.
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.
We are looking for a talented Senior Research Data Scientist who expects more from their career. You will be at the forefront of dunnhumby's research data science team where you will be translating a complex business problem into a data science problem and solving that with scalable and state-of-the-art AI algorithms. Joining our research data science team, you will be helping identify new opportunities within the Data Science space for future dunnhumby solutions. You will learn from experts and grow your career in our organisation.
What We Expect From You- A relevant degree in a statistical, mathematical, or related discipline.
- Strong knowledge of statistical and mathematical methodologies, including forecasting, regression, linear models, time series analysis, hypothesis testing, and optimization.
- Proven ability to prototype solutions using Python and Spark, enabling development and testing of algorithms on large-scale datasets.
- Solid understanding of machine learning techniques and their applications in classification, prediction, and clustering.
- Expertise in experimental design methodologies.
- Hands-on experience implementing at scale deep learning based solutions, including the use of frameworks such as PyTorch.
- Familiarity with transformer based models. Direct experience building and training these would be a plus.
- Ability to research and apply the latest machine learning approaches.
- Strong grasp of Object-Oriented Programming principles.
- Effective stakeholder management and communication skills.
- Experience developing solutions in areas such as Causal AI or Generative AI.
- Able to work quickly and independently with new tools and new subjects based on project needs.
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 WorkingAt 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 in London employer: Dunnhumby
Contact Detail:
Dunnhumby Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Research Data Scientist in London
✨Tip Number 1
Network like a pro! Reach out to current or former employees at dunnhumby on LinkedIn. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.
✨Tip Number 2
Prepare for the interview by brushing up on your technical skills. Make sure you can confidently discuss your experience with Python, Spark, and machine learning techniques. We want to see how you can apply your knowledge to real-world problems!
✨Tip Number 3
Showcase your projects! Bring examples of your work that demonstrate your expertise in data science and AI. Whether it's a GitHub repo or a case study, we love seeing how you've tackled complex problems.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team at dunnhumby.
We think you need these skills to ace Senior Research Data Scientist in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Research Data Scientist role. Highlight relevant experience and skills that match the job description, especially in statistical methodologies and machine learning techniques.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data science and how your background aligns with dunnhumby's mission. Be sure to mention any specific projects or achievements that showcase your expertise.
Showcase Your Technical Skills: Don’t forget to highlight your technical skills, especially in Python, Spark, and deep learning frameworks like PyTorch. Provide examples of how you've used these tools to solve complex problems in previous roles.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Dunnhumby
✨Know Your Data Science Fundamentals
Brush up on your statistical and mathematical methodologies, especially those mentioned in the job description like regression and time series analysis. Be ready to discuss how you've applied these concepts in real-world scenarios.
✨Showcase Your Technical Skills
Prepare to demonstrate your proficiency in Python and Spark. Have examples ready where you've prototyped solutions or implemented machine learning techniques. If you’ve worked with deep learning frameworks like PyTorch, make sure to highlight that experience.
✨Communicate Effectively
Since stakeholder management is key, practice explaining complex data science concepts in simple terms. Think of ways to illustrate your past experiences where effective communication made a difference in project outcomes.
✨Stay Current with Trends
Research the latest advancements in machine learning, especially in areas like Causal AI or Generative AI. Being able to discuss recent trends or breakthroughs will show your passion for the field and your commitment to continuous learning.