At a Glance
- Tasks: Create personalised recommendations and AI Stylist experiences for millions of customers.
- Company: Marks & Spencer Plc, a leading retail brand with a focus on innovation.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Be part of a forward-thinking company with a commitment to diversity and inclusion.
- Why this job: Join a dynamic team to shape the future of customer engagement through AI.
- Qualifications: Experience in data science, machine learning, and a passion for personalisation.
The predicted salary is between 63000 - 77000 £ per year.
Marks & Spencer Plc is seeking a Senior Data Scientist for the Recommendations team within Customer Data Science.
You will build personalised product recommendations, outfit suggestions, and AI Stylist conversational experiences to engage millions of customers.
You will design, productionise, and optimise ML/Gen AI systems, handling retrieval, ranking, and LLM components, while evaluating outputs for relevance and safety to drive product and commercial impact.
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Senior Data Scientist – Personalisation & GenAI Lead employer: Marks & Spencer Plc
Marks & Spencer Plc is an excellent employer, offering a vibrant work culture that fosters innovation and collaboration in the heart of Salford. Employees benefit from a competitive package, extensive professional development opportunities, and the chance to lead cutting-edge HR technology initiatives, making it a rewarding place for those looking to make a meaningful impact in their careers.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Scientist – Personalisation & GenAI Lead
✨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 Marks & Spencer Plc.
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We think you need these skills to ace Senior Data Scientist – Personalisation & GenAI Lead
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 Marks & Spencer Plc, 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 Marks & Spencer Plc. 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 Marks & Spencer Plc
✨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 Marks & Spencer Plc!
✨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.
