At a Glance
- Tasks: Transform complex documents into structured knowledge graphs and design evaluation frameworks.
- Company: Leading AI firm focused on critical sectors like finance and public services.
- Benefits: Competitive salary, EMI share options, private health cover, and generous leave.
- Other info: Remote work across the UK with opportunities for career growth.
- Why this job: Shape the future of knowledge graphs in a dynamic and impactful environment.
- Qualifications: 5+ years in data science with strong Python and graph database experience.
The predicted salary is between 63000 - 77000 £ per year.
Senior individual contributor role turning complex technical, legal and regulatory documentation into production knowledge graphs.
Remote across UK with Belfast office. Competitive salary, EMI share options, private health cover and company pension.
About the Company: My client builds sovereign AI systems for organisations that do not get to fail: financial services and critical public sector bodies. Their platform is deployed into some of the most tightly regulated environments in the UK, where an answer retrieved out of context has real consequences.
The Role: You will own the full lifecycle of turning messy source material into trustworthy, queryable knowledge: parsing and modelling documents, designing the graph schemas and ontologies, building the ingestion pipelines and implementing the retrieval pathways that serve live AI solutions. Just as importantly, you will prove it works, designing the evaluation frameworks that demonstrate documentation has been parsed accurately and that information is coming back correctly, completely and in the right context. You will sit within the Engineering team as their embedded knowledge graph specialist. The discipline is one the business is still actively shaping, so the standards and playbooks you create will define what this function looks like as it grows.
What You'll Need:
- Essential: 5+ years in data science, machine learning or data engineering, with a demonstrable track record of transforming complex documentation into structured knowledge graph representations.
- Hands-on experience designing and implementing retrieval over graphs: traversal, query design, hybrid graph and semantic search, and integration with LLM-based applications.
- Experience defining and running evaluations for both extraction quality and retrieval accuracy.
- Strong Python, with confidence around APIs, data pipelines, CI/CD and modern deployment approaches.
- Desirable: Production experience with graph databases such as ArangoDB (including AQL), Neo4j or Amazon Neptune.
- Familiarity with RDF, OWL and SKOS, or with LLM evaluation tooling such as Ragas, DeepEval, LangSmith or promptfoo.
- UK Security Clearance, or eligibility to obtain it.
Why Apply? Roughly 30 days of additional time back each year on top of standard annual leave. Competitive salary, company pension, private health cover and EMI share options. Real autonomy: you define the standards and playbooks for a discipline the business is still shaping. Work on technology trusted by some of the UK's most critical customers.
Senior Data Scientist in London employer: Ocho
Join a dynamic and innovative digital consultancy that champions a remote-first work culture, offering exceptional benefits such as a competitive salary, generous annual leave, and a commitment to professional development. With a focus on quality and collaboration, you'll thrive in an environment that values your expertise and provides the autonomy to shape QA processes while working on complex, multi-component systems alongside a talented team in Northern Ireland.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Scientist in London
✨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 Ocho!
✨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 Senior Data Scientist at Ocho.
✨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 Ocho.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Data Scientist at Ocho, 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 Senior Data Scientist in London
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 Ocho, 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 Ocho. 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 Ocho
✨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 Ocho!
✨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.
