Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and deliver cutting-edge Generative AI solutions for diverse clients.
- Company: Join a rapidly growing Data Practice focused on innovation.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Why this job: Make a real impact by solving business challenges with Generative AI.
- Qualifications: Experience in LLM/Generative AI and strong Python skills required.
- Other info: Be part of a vibrant community driving the future of AI.
The predicted salary is between 48000 - 72000 £ per year.
Overview
Join our rapidly growing Data Practice as we build cutting-edge Generative AI solutions for clients across industries. In this role, you’ll work hands-on with multi-disciplinary teams to design, prototype, and deliver AI solutions that tackle real business challenges. You’ll collaborate closely with clients, taking them on the journey from early adoption to full-scale deployment, blending technical expertise with a strong consultative approach.
Responsibilities
- Collaborate with clients to understand business needs and identify where Generative AI can add value.
- Lead prompt engineering and chain-of-thought reasoning to build LLM-based solutions.
- Implement Retrieval-Augmented Generation (RAG) solutions, optimizing chunking, metadata, and retrieval processes.
- Ensure all solutions follow Responsible AI principles.
- Rapidly develop demos to showcase the potential of Generative AI.
- Contribute to the development of internal GenAI methodologies, frameworks, and accelerators.
- Be an active member of our Data Science and Generative AI communities, helping to evolve capabilities and share knowledge across the organization.
Qualifications
- Proven experience in LLM / Generative AI and RAG projects, ideally in a leadership or senior delivery role.
- 4+ years in a data science or related role, with hands-on NLP experience.
- Fluent in Python, capable of rapidly prototyping solutions and delivering production-ready code.
- Familiarity with Azure data services and cloud-based AI infrastructure.
- Knowledge of best practices in model tuning, drift monitoring, and optimization.
- Strong consulting and stakeholder management skills; able to break down complex business problems and propose clear technical solutions.
- Experience using FastAPI or other API frameworks is desirable.
Senior Data Scientist (GenAI) in Bristol employer: Acuity Analytics
Contact Detail:
Acuity Analytics Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist (GenAI) in Bristol
✨Tip Number 1
Network like a pro! Reach out to your connections in the data science field and let them know you're on the lookout for opportunities. Attend industry meetups or webinars to meet potential employers and showcase your expertise in Generative AI.
✨Tip Number 2
Show off your skills with a killer portfolio! Create demos or case studies of your past projects, especially those involving LLMs and RAG solutions. This will not only highlight your technical prowess but also demonstrate your consultative approach to solving real business challenges.
✨Tip Number 3
Prepare for interviews by brushing up on your problem-solving skills. Be ready to discuss how you've tackled complex business problems using Generative AI. Practice explaining your thought process clearly, as strong communication is key in consulting roles.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining our Data Practice. Plus, it gives you a chance to showcase your enthusiasm for working on cutting-edge AI solutions with us.
We think you need these skills to ace Senior Data Scientist (GenAI) in Bristol
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Data Scientist role. Highlight your experience with Generative AI and RAG projects, and don’t forget to showcase your hands-on NLP skills. We want to see how your background aligns with what we’re looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about Generative AI and how you can add value to our team. Be sure to mention any relevant projects or experiences that demonstrate your consultative approach.
Showcase Your Technical Skills: We love seeing technical prowess! Make sure to highlight your Python skills and any experience with Azure data services. If you’ve worked with FastAPI or similar frameworks, give us the details – we want to know how you can contribute to our cutting-edge solutions.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our awesome team at StudySmarter!
How to prepare for a job interview at Acuity Analytics
✨Know Your Generative AI Inside Out
Make sure you brush up on your knowledge of Generative AI, especially LLMs and RAG solutions. Be ready to discuss your past projects and how you've applied these technologies to solve real business problems. This will show your expertise and passion for the field.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've tackled complex business challenges using data science. Think about how you identified the problem, the approach you took, and the impact of your solution. This will demonstrate your consultative approach and ability to deliver value.
✨Familiarise Yourself with Responsible AI Principles
Since this role emphasises Responsible AI, be prepared to talk about how you've implemented ethical considerations in your previous projects. Discuss any frameworks or methodologies you've used to ensure compliance with best practices in AI development.
✨Practice Your Technical Skills
As a Senior Data Scientist, you'll need to showcase your technical prowess. Brush up on Python and any relevant frameworks like FastAPI. Consider preparing a mini-project or demo that highlights your ability to prototype quickly and effectively, as this could impress your interviewers.