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- Tasks: Join a dynamic team to develop NLP pipelines and manage data at scale.
- Company: Oscar Associates is a forward-thinking recruitment agency focused on tech talent.
- Benefits: Enjoy a competitive salary, share options, and flexible hybrid/remote work.
- Why this job: Make an impact in AI while working with cutting-edge technology in a collaborative environment.
- Qualifications: 1+ years in data science or engineering, strong Python skills, and LLM/NLP experience required.
- Other info: Regular meetings in London foster team collaboration and innovation.
The predicted salary is between 55000 - 75000 £ per year.
?? New Role: Data Science Engineer (LLM Focus) ?? Salary: £55,000-£75,000 + share options ?? Hybrid / Remote: Flexible but with regular London meetings ?? Location: UK-based (preferably London) We\’re looking for a Data Science Engineer to join a fast-moving team working on NLP pipelines and data at scale. This is a great opportunity for someone passionate about impactful data work and modern AI tools. What We\’re Looking For: ? 1+ years\’ experience in data science or engineering. ? Strong Python skills and experience with LLMs/NLP. ? Experience building scalable data pipelines. ? Bonus: GCP, Docker, geospatial data, Postgres/PostGIS If you\’re a hands-on data scientist/engineer looking for your next step, we\’d love to hear from you. ?? Interested? Apply now! Oscar Associates (UK) Limited is acting as an Employment Agency in relation to this vacancy. To understand more about what we do with your data please review our privacy policy in the privacy section of the Oscar website. TPBN1_UKTJ
Senior Data Scientist (LLM) employer: Oscar Associates (UK) Limited
Contact Detail:
Oscar Associates (UK) Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist (LLM)
✨Tip Number 1
Familiarise yourself with the latest advancements in NLP and LLMs. Being able to discuss recent trends or breakthroughs during an interview can demonstrate your passion and knowledge in the field.
✨Tip Number 2
Showcase your experience with scalable data pipelines by preparing specific examples of projects you've worked on. Be ready to explain the challenges you faced and how you overcame them, as this will highlight your problem-solving skills.
✨Tip Number 3
If you have experience with GCP, Docker, or geospatial data, make sure to mention it in conversations. These skills are a bonus for this role, and discussing them can set you apart from other candidates.
✨Tip Number 4
Network with professionals in the data science community, especially those working with LLMs. Engaging in discussions or attending meetups can provide insights and potentially lead to referrals for the position.
We think you need these skills to ace Senior Data Scientist (LLM)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data science and engineering, particularly focusing on your Python skills and any work with LLMs or NLP. Use specific examples to demonstrate your expertise in building scalable data pipelines.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for impactful data work and modern AI tools. Mention why you are interested in this specific role and how your background aligns with the company's needs.
Highlight Relevant Projects: In your application, include details about relevant projects you've worked on, especially those involving GCP, Docker, or geospatial data. This will help illustrate your hands-on experience and technical skills.
Proofread Your Application: Before submitting, carefully proofread your application materials for any spelling or grammatical errors. A polished application reflects your attention to detail and professionalism.
How to prepare for a job interview at Oscar Associates (UK) Limited
✨Showcase Your Python Skills
As a Senior Data Scientist focusing on LLMs, it's crucial to demonstrate your strong Python skills. Be prepared to discuss specific projects where you've used Python for data analysis or building models, and consider sharing code snippets or examples of your work.
✨Discuss Your Experience with NLP and LLMs
Make sure to highlight your experience with Natural Language Processing and Large Language Models. Prepare to explain the techniques you've used, the challenges you faced, and how you overcame them. This will show your depth of knowledge in the field.
✨Emphasise Scalable Data Pipelines
Since the role involves building scalable data pipelines, be ready to discuss your experience in this area. Talk about the tools and frameworks you've used, any performance improvements you've implemented, and how you ensure data quality and integrity.
✨Prepare for Technical Questions
Expect technical questions related to data science and engineering. Brush up on key concepts, algorithms, and best practices. Practising coding problems or case studies can also help you feel more confident during the interview.
