At a Glance
- Tasks: Lead the strategy and build of our identity graph, driving innovative AI solutions.
- Company: Join Provenir, a global fintech leader in decision intelligence.
- Benefits: Enjoy competitive pay, health plans, remote work, and a Macbook Pro.
- Other info: Dynamic role with opportunities for growth and team building.
- Why this job: Make a real impact in AI-powered decisioning while shaping the future of technology.
- Qualifications: Strong graph data science experience and hands-on Python/SQL skills required.
The predicted salary is between 80000 - 100000 £ per year.
Provenir is the unified Decision Intelligence Platform that gives enterprises full control over end-to-end customer decisioning — to manage risk, drive growth, and transform business outcomes. By consolidating data, AI models, intelligence, agents and governance into a single decisioning environment, Provenir empowers business teams to configure and evolve strategy directly, while maintaining enterprise-grade reliability and regulatory compliance. Trusted by 120+ institutions in 60+ countries, Provenir processes over 4 billion decisions annually.
Ready to solve meaningful challenges, work with enterprise customers, and help shape the future of AI-powered decisioning? Join us.
Location: Remote first – UK/Europe
Technologies: Python, SQL, graph analytics, identity/entity resolution, AWS
Your Responsibilities:
- Design and evolve a deterministic identity graph that represents key entities, relationships, and business logic.
- Identify and prioritise the features, signals, and patterns in our connected data that create product value.
- Build and guide analytics pipelines for link analysis, identity resolution, clustering, ranking, anomaly detection, and discovery.
- Partner with data engineers to define ingestion, enrichment, validation, and publishing workflows into the identity data.
- Work with product managers and stakeholders to translate ambiguous business problems into product features.
- Prototype and evaluate approaches for identity resolution, identity intelligence, fraud detection, and risk intelligence.
- Mentor engineers and data scientists on graph methods, modelling, and analytical techniques.
Your Experience:
- Strong experience in graph data science, knowledge graphs, or graph/network analytics.
- Hands-on experience building and working with graph structures using libraries or databases (e.g. Neo4j, Amazon Neptune, JanusGraph).
- Experience with identity resolution, entity resolution, or link analysis.
- Strong Python and SQL skills.
- A genuine product mindset, starting from the business problem and the product outcome.
- Ability to design analytical approaches from ambiguous problems.
- Strong communication skills and comfort working embedded with product and engineering teams.
What you should know about this role:
- This is a genuinely hands-on role. You'll be writing code and building graph pipelines yourself.
- You’ll be the most senior data scientist in the Provenir AI team, which means real independence and impact.
- Much of the work is about making relationship data better, more connected, and more usable.
- The identity graph and Living Identity® data are the priority and where you'll make your mark first.
Interview Process:
- Team Fit: A conversation with our CTO to explore how you work and fit with the team.
- Case Study: We'll share a realistic identity/graph data problem for you to work through.
- Technical Interview: With data science and/or engineering leadership.
- Final Interview: A conversation with our CEO on vision, impact, and your approach.
Your Benefits:
- Comprehensive private health cover and wellness plans.
- Flexible and remote-friendly opportunities.
- Maternity/paternity leave.
- Retirement benefits such as pension contributions.
- Macbook Pro.
At Provenir, we recognize that diversity and inclusion make our teams stronger. We are committed to equal employment opportunity and welcome everyone regardless of race, colour, ancestry, religion, national origin, age, sex, gender identity, sexual orientation, disability, marital status, domestic partner status, citizenship, or veteran status.
Principle Data Scientist employer: Provenir
Provenir is an exceptional employer that prioritises employee well-being and professional growth, offering comprehensive health and wellness plans, flexible working arrangements, and generous paid time off. Our inclusive work culture fosters collaboration and innovation, empowering employees to tackle meaningful challenges in the rapidly evolving field of AI-powered decisioning. Join us in a dynamic environment where your contributions directly impact our global commercial strategy and operations, while enjoying the support of a diverse team committed to excellence.
StudySmarter Expert Advice🤫
We think this is how you could land Principle 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 Provenir!
✨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 Principle Data Scientist at Provenir.
✨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 Provenir.
✨Apply Directly through Our Website
When you find a suitable opening like Principle Data Scientist at Provenir, 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 Principle 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 Provenir, 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 Provenir. 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 Provenir
✨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 Provenir!
✨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.
