At a Glance
- Tasks: Build and deploy data science models to solve complex business problems.
- Company: Join a dynamic Simulation & Insights team at the forefront of AI and decision modelling.
- Benefits: Hybrid working model, strong focus on learning, and clear career progression.
- Other info: Collaborative environment with opportunities to mentor and lead projects.
- Why this job: Make a real impact on high-value decisions across various industries.
- Qualifications: Strong STEM background and experience in data science or AI solutions.
The predicted salary is between 70000 - 90000 £ per year.
The Role
This is an opportunity to join a growing Simulation & Insights team working at the intersection of data science, AI and decision modelling.
You’ll be delivering solutions that help organisations make complex, high-value decisions, from optimising operations to shaping long‑term strategy.
It’s a hands‑on role with a strong consulting edge.
You’ll be building models one day and working directly with stakeholders the next, explaining what the outputs actually mean for the business.
The role is offered at Assistant Manager or Manager level, depending on experience.
At Manager level, you’ll take on additional ownership of projects, stakeholders and team members.
- What You’ll Do
- Build and deploy data science, machine learning and simulation models to solve complex business problems
- Apply advanced techniques including optimisation, forecasting, statistical modelling and AI
• Develop LLM‑based solutions, including
- Retrieval‑Augmented Generation (RAG)
- Fine‑tuning and prompt engineering
- Agent‑based workflows
- Work with large and complex datasets, both structured and unstructured
- Write clean, scalable Python code for model development and production use
- Use tools such as Databricks, MLflow and modern AI platforms to manage the full model lifecycle
- Translate technical outputs into clear, commercially relevant insights
- Engage directly with stakeholders to define problems and shape solutions
- Collaborate with multidisciplinary teams across data, engineering and strategy
At Manager level, you will also
- Lead projects or workstreams end‑to‑end
- Manage and mentor junior team members
- Own stakeholder relationships and present to senior audiences
- Contribute to business development and proposition building
- What You’ll Bring
- Core Skills
- Strong academic background in a STEM discipline
- Proven experience delivering data science, machine learning or AI solutions in a commercial environment
- Strong programming capability in Python (Pandas, Num Py, Sci Py or similar)
- Solid grounding in statistics, probability and data analysis
- AI & LLM Experience
• Hands‑on experience with large language models, including
- Fine‑tuning approaches
- Agent‑based architectures
- A practical understanding of how to apply LLMs to real‑world use cases
- Experience with model deployment and MLOps tools (e. g. Databricks, MLflow)
- Familiarity with version control (Git) and collaborative development practices
- Awareness of best practices in code quality and reproducibility
- Communication & Consulting
- Ability to explain complex technical concepts to non‑technical stakeholders
- Experience working in client‑facing or cross‑functional teams
- Strong problem‑solving skills and the ability to manage ambiguity
- Why You Should Apply
- Work on high‑impact projects that directly influence business decisions
- Exposure to cutting‑edge AI and LLM use cases
- Variety of work across multiple industries and problem types
- Clear progression from Assistant Manager to Manager and beyond
- Strong focus on learning, development and career progression
- Hybrid working model with flexibility built in
- Collaborative team environment with high‑performing peers
- #J-18808-Ljbffr
Data Scientist employer: Yolk Recruitment Ltd
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StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist
✨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 Yolk Recruitment Ltd!
✨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 at Yolk Recruitment Ltd.
✨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 Yolk Recruitment Ltd.
✨Apply Directly through Our Website
When you find a suitable opening like Data Scientist at Yolk Recruitment Ltd, 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
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 Yolk Recruitment Ltd, 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 Yolk Recruitment Ltd. 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 Yolk Recruitment Ltd
✨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 Yolk Recruitment Ltd!
✨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.