Data Scientist – Hybrid (Remote/On-site) GenAI & LLMs in Welwyn Garden City

Data Scientist – Hybrid (Remote/On-site) GenAI & LLMs in Welwyn Garden City

Welwyn Garden City Full-Time 60000 - 80000 Β£ / year (est.) Home office (partial)
Eworker

At a Glance

  • Tasks: Build and deploy machine learning and generative AI solutions across various retail domains.
  • Company: Join Tesco, a leading retailer embracing innovation and technology.
  • Benefits: Enjoy a hybrid work model, competitive salary, and opportunities for professional growth.
  • Other info: Collaborate with talented teams in a dynamic and supportive environment.
  • Why this job: Make an impact in retail by leveraging cutting-edge AI technologies.
  • Qualifications: Strong background in ML, statistics, Python, and experience with LLMs required.

The predicted salary is between 60000 - 80000 Β£ per year.

Tesco is hiring a Data Scientist to build and deploy machine learning and generative AI solutions across retail domains, including stores, online, supply chain and marketing.

You will design models, evaluate their performance, and scale experiments to production while collaborating with ML Engineers and Software Engineers.

A strong background in ML, statistics, and Python is required, with experience in distributed computing and LLMs.

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Data Scientist – Hybrid (Remote/On-site) GenAI & LLMs in Welwyn Garden City employer: Eworker

At Safran, we pride ourselves on being an exceptional employer, offering a dynamic work environment in Cwmbran, South Wales, where innovation and collaboration thrive. Our commitment to employee growth is evident through extensive training opportunities, a supportive culture that values diversity, and a comprehensive benefits package including generous holiday allowances and private medical cover. Join us in crafting excellence together as we lead the way in aerospace technology and create a sustainable future for all.

Eworker

Contact Details:

Eworker Recruitment Team

StudySmarter Expert Advice🀫

We think this is how you could land Data Scientist – Hybrid (Remote/On-site) GenAI & LLMs in Welwyn Garden City

✨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 Eworker!

✨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 Data Scientist – Hybrid (Remote/On-site) GenAI & LLMs at Eworker.

✨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 Eworker.

✨Apply Directly through Our Website

When you find a suitable opening like Data Scientist – Hybrid (Remote/On-site) GenAI & LLMs at Eworker, 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 Data Scientist – Hybrid (Remote/On-site) GenAI & LLMs in Welwyn Garden City

Machine Learning
Generative AI
Statistical Analysis
Python
Distributed Computing
Large Language Models (LLMs)
Model Design

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 Eworker, 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 Eworker. 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 Eworker

✨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 Eworker!

✨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.