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- Tasks: Transform business challenges into data science solutions using AI and ML.
- Company: Leading data science firm in London with a focus on innovation.
- Benefits: Flexible working arrangements and a competitive rewards package.
- Why this job: Join a team that drives impactful AI solutions and shapes the future of data science.
- Qualifications: Relevant degree, strong statistical skills, and experience in machine learning.
- Other info: Exciting opportunities for professional growth in a dynamic environment.
The predicted salary is between 43200 - 72000 £ per year.
A leading data science firm in London is seeking a Senior Research Data Scientist. This role involves translating business challenges into data science problems, implementing innovative AI solutions, and contributing to the development of new opportunities in Data Science.
The ideal candidate will have a relevant degree, strong statistical expertise, and proven experience in machine learning and deep learning methodologies.
The company offers flexible working arrangements and a competitive rewards package.
Senior Research Data Scientist: Customer-First AI & ML in London employer: Dunnhumby
Contact Detail:
Dunnhumby Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Research Data Scientist: Customer-First AI & ML in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with professionals on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving AI and ML. This will give potential employers a taste of what you can do and how you tackle real-world problems.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice common data science interview questions and be ready to discuss your past experiences and how they relate to the role.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented individuals like you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Senior Research Data Scientist: Customer-First AI & ML in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant experience in AI and machine learning. We want to see how you've tackled business challenges with data science solutions, so don’t hold back on those examples!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about the role and how your skills align with our mission at StudySmarter. Keep it engaging and personal – we love a good story!
Showcase Your Projects: If you've worked on any innovative AI projects or research, make sure to include them in your application. We’re keen to see how you’ve applied your statistical expertise and machine learning knowledge in real-world scenarios.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother 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 expertise and machine learning methodologies. Be ready to discuss how you've applied these concepts in real-world scenarios, as the interviewers will want to see your practical understanding.
✨Translate Business Challenges
Prepare examples of how you've successfully translated business challenges into data science problems. This shows your ability to think critically and apply your skills to solve real issues, which is key for this role.
✨Showcase Innovative AI Solutions
Think of specific projects where you implemented innovative AI solutions. Be prepared to explain your thought process, the challenges you faced, and the impact of your work. This will demonstrate your creativity and problem-solving skills.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's approach to AI and ML, and how they envision the role contributing to their goals. This not only shows your interest but also helps you gauge if the company is the right fit for you.
