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- Tasks: Develop machine learning and generative AI solutions for retail innovation.
- Company: Join a tech collaboration firm working with Tesco.
- Benefits: Competitive salary, bonus scheme, and personal development opportunities.
- Why this job: Shape customer interactions and operations with cutting-edge technology.
- Qualifications: Strong background in statistics, machine learning, and Python required.
- Other info: Collaborative environment with opportunities to work closely with engineers.
The predicted salary is between 36000 - 60000 £ per year.
A technology collaboration firm is partnering with Tesco to find a Data Scientist. This role involves developing machine learning and generative AI solutions that shape customer interactions and operations. You will design models, collaborate closely with engineers, and communicate effectively with non-technical stakeholders.
Candidates should have a strong background in statistics, machine learning, and experience with Python, along with a higher degree in a quantitative discipline.
Competitive salary and benefits package offered, including a bonus scheme and personal development opportunities.
Data Scientist: GenAI & ML for Retail Innovation in London employer: hackajob
Contact Detail:
hackajob Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist: GenAI & ML for Retail Innovation in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the data science field, especially those working with generative AI and machine learning. Use platforms like LinkedIn to connect and engage with them; you never know who might have a lead on your dream job!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects in Python, statistics, and machine learning. This is your chance to demonstrate your expertise and creativity, so make sure it’s easily accessible when you’re chatting with potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your communication skills. Since you'll be working with non-technical stakeholders, practice explaining complex concepts in simple terms. This will help you stand out as a candidate who can bridge the gap between tech and business.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be perfect for you. Plus, applying directly can sometimes give you an edge over other candidates, so get your application in and let’s get you that job!
We think you need these skills to ace Data Scientist: GenAI & ML for Retail Innovation in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your background in statistics and machine learning. We want to see how your experience with Python can contribute to our innovative projects, so don’t hold back!
Tailor Your Application: Take a moment to customise your application for the Data Scientist role. Mention how your skills align with developing generative AI solutions and improving customer interactions at Tesco.
Keep It Clear and Concise: When writing your application, remember to communicate your ideas clearly. We often work with non-technical stakeholders, so showing you can explain complex concepts simply is a big plus!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity!
How to prepare for a job interview at hackajob
✨Know Your Stats
Brush up on your statistics and machine learning concepts. Be ready to discuss how you've applied these in past projects, especially in a retail context. This will show that you understand the core principles behind the models you'll be designing.
✨Showcase Your Python Skills
Prepare to demonstrate your proficiency in Python. You might be asked to solve a coding problem or explain your approach to a specific project. Practising common data manipulation and machine learning libraries like Pandas and Scikit-learn can give you an edge.
✨Communicate Clearly
Since you'll be working with non-technical stakeholders, practice explaining complex concepts in simple terms. Think of examples where you've successfully communicated technical information to a non-technical audience, as this will highlight your collaboration skills.
✨Research Tesco's Innovations
Familiarise yourself with Tesco's recent initiatives in AI and machine learning. Understanding their current strategies and challenges will allow you to tailor your responses and demonstrate genuine interest in how you can contribute to their goals.
