At a Glance
- Tasks: Lead the design and deployment of innovative AI solutions using Databricks and Microsoft Foundry.
- Company: Join M&S, a dynamic and inclusive leader in retail innovation.
- Benefits: Enjoy a 20% discount, competitive holidays, and generous pension schemes.
- Other info: Be part of a transformative journey in the retail industry.
- Why this job: Make a real impact in AI while mentoring a high-performing team.
- Qualifications: Extensive experience in Data, AI, and strong leadership skills required.
The predicted salary is between 80000 - 100000 £ per year.
What You’ll do
- Lead the design, development, and deployment of scalable, secure, and governed Data & AI solutions using Databricks and Microsoft Foundry.
- Define and shape the technical roadmap for AI and automation capabilities, aligning platform strategy with business priorities.
- Lead and mentor a high-performing AI engineering squad, driving innovation, technical excellence, and delivery outcomes.
- Partner with business stakeholders to identify high-value use cases, rapidly prototype solutions, and scale successful AI products into production.
- Ensure robust AI governance, security, ethical AI practices, and seamless integration of solutions into enterprise platforms and business processes.
Who you are
- Extensive experience delivering Data, AI, ML, and Generative AI solutions, with strong hands-on expertise in Databricks, Microsoft Foundry, and the wider Azure ecosystem.
- Proven leader of engineering and AI teams, with a track record of coaching talent and building high-performing technical squads.
- Commercially minded problem solver with the ability to translate complex business challenges into practical, value-driven AI solutions.
- Strong communicator and influencer, capable of engaging both technical and non-technical stakeholders and articulating the value of AI.
- Passionate about Data & AI innovation, continuously exploring emerging technologies, market trends, and opportunities to enhance business outcomes.
What's in it for you
- 20% colleague discount across all M&S products and many of our third-party brands for you and a member of your household after completing your probationary period.
- Competitive holiday entitlement with the potential to buy extra holiday days.
- Discretionary bonus schemes awarded based on how you achieve your personal objectives and our performance as a business.
- A generous Defined Contribution Pension Scheme and Life Assurance.
- A dedicated welcome to our teams with a tailored induction and a wide range of training programmes to develop your skills.
- Amazing perks and discounts via our M&S Choices portal to maximise your financial and personal wellbeing.
- Industry-leading parental, adoption and neonatal policies, providing support and flexibility for your family.
- Access to a fantastic range of wellbeing support for all colleagues including access to our 24/7 Virtual GP and PAM Assist to support you and your family.
- A charity volunteer day to support a charity or cause you're passionate about through a dedicated day away from work.
Everyone's welcome. We are ambitious about the future of retail. We’re disrupting, innovating and leading the industry into a more conscientious, inspiring digital era. We’re transforming how we work together and offering our most exciting opportunities yet. Marks & Spencer strives to be an inclusive organisation, trusted and admired by our colleagues, customers and suppliers. Join us and make change happen. We are committed to building diverse and representative teams, where everyone can bring their whole selves to work and be at their best. We support each other and work together to win together. If you feel you'd benefit from any support or reasonable adjustments during any stage of the recruitment process, please don’t hesitate to let us know when completing your application. This information will be picked up by our team, so we can try and put steps in place to help you be at your best through this process.
StudySmarter Expert Advice🤫
We think this is how you could land AI Technology Tech Lead
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Marks & Spencer!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like AI Technology Tech Lead at Marks & Spencer.
✨Leverage Professional Networks
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.
✨Apply Directly through Our Website
When you find a suitable opening like AI Technology Tech Lead at Marks & Spencer, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace AI Technology Tech 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, 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. 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
✨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!
✨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.
