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- Tasks: Create AI solutions to elevate customer experiences and streamline operations.
- Company: A forward-thinking UK retail company focused on innovation and inclusivity.
- Benefits: Flexible working hours, personal development opportunities, and a supportive environment.
- Why this job: Join a team that leverages cutting-edge technology to make a real difference in retail.
- Qualifications: Strong background in machine learning, statistics, and programming; higher degree preferred.
- Other info: Dynamic role with opportunities for growth and collaboration.
The predicted salary is between 36000 - 60000 £ per year.
A UK retail company is seeking a Data Scientist to develop machine learning and generative AI solutions that enhance customer experiences and optimize operations. The role includes designing robust models, collaborating with engineers, and communicating findings to stakeholders.
Candidates should have a strong background in machine learning, statistics, and programming, preferably with a higher degree in a quantitative field.
The company offers flexible working patterns, promoting inclusivity and personal development.
Data Scientist: GenAI & ML for Customer Experience in Welwyn Garden City employer: WeAreTechWomen
Contact Detail:
WeAreTechWomen Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist: GenAI & ML for Customer Experience in Welwyn Garden City
✨Tip Number 1
Network like a pro! Reach out to professionals in the data science field on LinkedIn or at industry events. We can’t stress enough how valuable personal connections can be in landing that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning and generative AI projects. This is your chance to demonstrate your expertise and creativity, so make it shine!
✨Tip Number 3
Prepare for interviews by practising common data science questions and case studies. We recommend doing mock interviews with friends or using online platforms to boost your confidence and refine your answers.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Data Scientist: GenAI & ML for Customer Experience in Welwyn Garden City
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with machine learning and generative AI in your application. We want to see how your background aligns with the role, so don’t hold back on showcasing your technical skills and any relevant projects you've worked on.
Tailor Your Application: Take a moment to customise your CV and cover letter for this specific role. We love seeing candidates who take the time to connect their experiences to what we’re looking for, especially in enhancing customer experiences and optimising operations.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured applications that communicate your ideas effectively, especially when discussing complex topics like data models and findings.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at WeAreTechWomen
✨Know Your ML and GenAI Inside Out
Make sure you brush up on your machine learning and generative AI knowledge. Be ready to discuss specific algorithms, their applications, and how they can enhance customer experiences. Prepare examples of past projects where you've successfully implemented these technologies.
✨Showcase Your Collaboration Skills
Since the role involves working closely with engineers and stakeholders, think of instances where you've collaborated effectively in the past. Be prepared to share how you communicated complex data findings to non-technical team members, as this will demonstrate your ability to bridge the gap between data science and business needs.
✨Prepare for Technical Questions
Expect technical questions that test your programming skills and statistical knowledge. Brush up on coding challenges related to Python or R, and be ready to solve problems on the spot. Practising with mock interviews can help you feel more confident when tackling these questions.
✨Emphasise Your Adaptability
With flexible working patterns being a key aspect of the company culture, highlight your adaptability and willingness to learn. Share examples of how you've embraced change in previous roles and how you can contribute to a dynamic work environment focused on personal development.
