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- Tasks: Analyse and optimise AI models while designing intelligent GenAI workflows.
- Company: Join a forward-thinking company at the forefront of Generative AI.
- Benefits: Competitive pay, flexible work arrangements, and opportunities for professional growth.
- Why this job: Make a real-world impact by enhancing cutting-edge AI technologies.
- Qualifications: Strong maths background, Python skills, and experience with LLMs required.
- Other info: Collaborate with diverse teams and mentor others in a dynamic environment.
The predicted salary is between 60000 - 80000 ÂŁ per year.
We’re hiring a Principal Data Scientist to work on cutting-edge Generative AI and LLM-based systems, with a strong focus on the mathematical and analytical side of data science. This role is less about building models from scratch and more about understanding, evaluating, and optimising AI models to ensure accuracy, scalability, and real-world impact. You’ll work with complex unstructured data (documents, images, PDFs) and help design intelligent, production-ready AI solutions.
What you’ll be doing:
- Analysing and optimising AI/ML models (especially LLMs)
- Applying statistics, probability, and optimisation techniques
- Designing GenAI workflows, prompts, and agentic pipelines
- Extracting insights from unstructured data
- Leading technical decisions and mentoring others
- Collaborating with Spanish-speaking stakeholders
What we’re looking for:
- Strong background in mathematics, statistics, or similar
- Experience with Python, LLMs, and Generative AI
- Proven ability to evaluate and improve model performance
- Experience with tools like LangChain or LangGraph
- Fluent Spanish (essential)
- Ideal for someone who enjoys the “why behind the model” as much as the output.
Data Scientist employer: Marshall Wolfe
Contact Detail:
Marshall Wolfe Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist
✨Tip Number 1
Network like a pro! Reach out to folks in the data science community, especially those working with Generative AI. Attend meetups or webinars, and don’t be shy about sliding into DMs on LinkedIn – you never know who might have the inside scoop on job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your work with AI models, especially any projects involving LLMs. This is your chance to demonstrate your analytical prowess and how you’ve optimised model performance – make it pop!
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge. Be ready to discuss your experience with Python and tools like LangChain or LangGraph. We want to see that you can not only talk the talk but also walk the walk when it comes to evaluating and improving AI models.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive and engaged with our platform.
We think you need these skills to ace Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with data science, especially in Generative AI and LLMs. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about the role and how your background in mathematics and statistics makes you a perfect fit for our team. Keep it engaging and personal!
Showcase Your Technical Skills: When applying, make sure to mention your proficiency in Python and any experience with tools like LangChain or LangGraph. We love seeing candidates who can evaluate and improve model performance, so highlight those skills!
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 don’t miss out on any important updates. Plus, we love seeing applications come in through our own platform!
How to prepare for a job interview at Marshall Wolfe
✨Know Your Maths and Stats
Brush up on your mathematical and statistical concepts, as they’ll be crucial in the interview. Be ready to discuss how you’ve applied these principles in past projects, especially in relation to AI models.
✨Showcase Your Python Skills
Prepare to demonstrate your proficiency in Python, particularly with libraries relevant to data science and Generative AI. Have examples ready where you've used Python to optimise or evaluate models, as this will show your hands-on experience.
✨Understand the 'Why' Behind Models
Since this role focuses on understanding and optimising AI models, be prepared to explain your thought process behind model evaluations. Discuss how you approach problem-solving and decision-making when it comes to improving model performance.
✨Practice Your Spanish
As you'll be collaborating with Spanish-speaking stakeholders, make sure to brush up on your language skills. Practise discussing technical concepts in Spanish, so you can communicate effectively during the interview.