At a Glance
- Tasks: Lead the development of innovative GenAI solutions for various business challenges.
- Company: Global data and AI consultancy with a focus on inclusivity and professional growth.
- Benefits: Competitive salary, private healthcare, flexible working, and strong training investment.
- Other info: Flexible hybrid model and a commitment to diversity and inclusion.
- Why this job: Join a cutting-edge team and make an impact in the world of Generative AI.
- Qualifications: Experience in Data Science, machine learning, and modern GenAI tools required.
The predicted salary is between 63000 - 77000 £ per year.
Location: London, United Kingdom (flexible hybrid)
Type: Permanent - Immediate start.
My client, a well established global data and AI consultancy serving major organisations across sectors including insurance, healthcare, banking and retail, is looking for a highly capable and innovative Data Scientist with strong Generative AI experience to join their Data Science team.
The Role:
- You’ll lead the development and deployment of GenAI solutions, including LLM-based applications, prompt engineering, fine-tuning, embeddings, and retrieval-augmented generation (RAG) for enterprise use cases.
- Design and build GenAI solutions using LLMs for business problems spanning customer service, document automation, summarisation, and knowledge retrieval.
- Fine‑tune or adapt foundation models using domain‑specific data.
- Implement RAG pipelines, embedding models, and vector databases (e.g., FAISS, Pinecone, ChromaDB).
- Collaborate with data engineers, MLOps, and product teams to build end-to-end AI applications and APIs.
- Develop custom prompts and prompt chains using common orchestration frameworks.
- Evaluate model performance, mitigate bias, and optimise for accuracy, latency, and cost.
- Stay current with the latest trends in LLMs, transformers, and GenAI architecture.
Key Requirements:
- Solid experience in Data Science / ML, including recent hands‑on work with LLMs/GenAI projects.
- Strong Python skills, particularly with Transformers, LangChain, scikit‑learn, PyTorch, or TensorFlow.
- Experience with GPT-4, Claude, Mistral, LLaMA, or similar models.
- Knowledge of vector search, embedding models, and semantic search techniques.
- Ability to build and deploy scalable AI workflows via APIs or web apps (e.g., FastAPI, Streamlit, Flask).
- Familiarity with major cloud platforms and MLOps best practices.
- Strong communication skills, with the ability to translate technical solutions into business impact.
- Experience with prompt tuning, few‑shot learning, or LoRA‑based fine‑tuning.
- Understanding of data privacy and security considerations in GenAI applications.
- Familiarity with enterprise architecture, SDLC, or GenAI use cases in regulated industries.
- Experience with enterprise data platform tools is a plus.
What's on Offer:
- Competitive salary plus bonus.
- Private healthcare, life assurance, income protection, and pension scheme.
- Additional financial wellbeing benefits.
- Strong investment in professional development and training.
- Flexible hybrid working model.
- A genuinely inclusive, equal‑opportunity employer.
Please note: candidates must already hold the right to work in the United Kingdom.
Data Scientist x 2 employer: Tank Recruitment
Join a dynamic technology team in London as a Lead Python Developer, where you will not only enhance your technical skills but also play a pivotal role in shaping the future of software development. Our hybrid working model promotes a healthy work-life balance, while our commitment to employee growth ensures you have ample opportunities for professional development and mentorship. Experience a collaborative culture that values innovation and encourages you to stay hands-on with coding, all within a vibrant city known for its tech advancements.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist x 2
✨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 Tank Recruitment!
✨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 x 2 at Tank Recruitment.
✨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 Tank Recruitment.
✨Apply Directly through Our Website
When you find a suitable opening like Data Scientist x 2 at Tank Recruitment, 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 x 2
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 Tank Recruitment, 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 Tank Recruitment. 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 Tank Recruitment
✨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 Tank Recruitment!
✨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.
