At a Glance
- Tasks: Lead data and AI product strategy, transforming complex data into valuable insights.
- Company: Join Nando’s Group, a vibrant and innovative company.
- Benefits: Enjoy competitive salary, flexible working, and opportunities for professional growth.
- Other info: Be part of a dynamic team with exciting career advancement opportunities.
- Why this job: Make a real impact by empowering decision-making through data-driven strategies.
- Qualifications: Experience in data product management and strong collaboration skills required.
The predicted salary is between 63000 - 77000 £ per year.
Nando’s Group seeks a Senior Data Product Manager to lead data/AI product strategy across the business, partnering with engineering, analytics, and AI teams to deliver measurable value.
You will shape governance, data quality, and self-serve analytics while collaborating with senior stakeholders and other PMs to scale data capabilities.
This role centers on turning complex data into trusted assets that empower decision-making.
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Senior Data Product Manager — AI & Analytics Leader in London employer: Nando’s Group
At Nando's, we pride ourselves on being a people-first company that values passion and personality. As a Team Member, you'll enjoy flexible shifts, free meals on every shift, and access to internal development programmes that support your career growth. Our vibrant work culture celebrates diversity and fosters a sense of family, making it an excellent place for those looking to thrive in a rewarding environment while serving up the finest PERi-PERi meals.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Product Manager — AI & Analytics Leader in London
✨Get Involved in Data Science Meetups
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Nando’s Group.
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We think you need these skills to ace Senior Data Product Manager — AI & Analytics Leader in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Nando’s Group, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Nando’s Group. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Nando’s Group
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Nando’s Group!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
