At a Glance
- Tasks: Lead complex projects in Data Science and AI, designing and deploying advanced ML systems.
- Company: Vortexa, a fast-growing tech company revolutionising the energy industry with AI.
- Benefits: Flexible hybrid working, equity options, private health insurance, and global volunteering opportunities.
- Other info: Join a vibrant team of motivated individuals pushing the boundaries of technology.
- Why this job: Make a real impact on energy markets using cutting-edge technology and innovative methodologies.
- Qualifications: PhD in a quantitative field, strong ML/AI skills, and experience in production-grade systems.
The predicted salary is between 72000 - 108000 £ per year.
Vortexa is a fast-growing international technology business founded to solve the immense information gap that exists in the energy industry. By using massive amounts of new satellite data and pioneering work in artificial intelligence, Vortexa creates an unprecedented view on the global seaborne energy flows in real-time, bringing transparency and efficiency to the energy markets and society as a whole.
Vortexa’s Data Platform, designed, developed and maintained by the Data Production Team, is a cloud‑native ecosystem that powers the full lifecycle of our data and intelligence products. It integrates large‑scale data pipelines, machine‑learning models, AI agents, human‑in‑the‑loop systems, and microservices to collect, process, connect, and govern global energy‑flow data at scale. This platform underpins analytics, operational workflows, and real‑time decision‑making across the company.
As a Principal Data Scientist, you will become a key part of the Data Platform Team to play a central role in designing, implementing, and deploying advanced AI/ML methodologies and production‑grade systems. Your work will be held to the scrutiny of energy analysts, traders, operations teams, and regulatory stakeholders, and must meet the performance, reliability, and robustness standards required for critical energy infrastructure. You will collaborate closely with software engineers, data scientists, and domain experts to translate cutting‑edge research into operational, trading‑ready intelligence.
You Are:
- Demonstrably strategic, high-impact and experienced individual contributor capable of leading complex projects across Data Science, Machine Learning, and AI, including hands‑on work building and deploying production‑grade ML models.
- Deeply grounded in the theoretical and mathematical foundations of ML/AI and well‑versed in current research and emerging methodologies.
- PhD‑educated in a quantitative field such as Computer Science, Statistics, Applied Mathematics, Physics, or a related discipline.
- Skilled at translating advanced research concepts into practical, high‑impact industrial applications.
- Fluent in Python and experienced in regression and classification modelling, clustering, time‑series analysis, anomaly detection, sequence‑to‑sequence architectures, and stochastic optimisation.
- Experienced across the full ML lifecycle: experiment design, model development, validation, deployment, monitoring, and long‑term maintenance.
- Motivated by intellectually rigorous collaboration with energy analysts, traders, and technologists, and comfortable engaging in constructive technical debate.
- Energised by complex, real‑world challenges and committed to bringing innovative ML approaches into production environments.
- Passionate about mentoring and elevating colleagues, helping them strengthen their ML engineering capabilities and grow their careers.
Awesome if you:
- Have experience in the energy sector or a strong understanding of energy systems and operational dynamics.
- Have exposure to quantitative trading, including arbitrage, strategy development, backtesting, and risk management for physical or derivative assets.
- Have practical experience with AWS services and cloud‑native infrastructure.
- Are familiar with modern MLOps tools and frameworks and can partner effectively with Data and ML engineers to deploy scalable, reliable, real‑time inference pipelines.
- Enjoy flexible hybrid working – split your time between home and our office, with the freedom to work where you’re most productive.
A vibrant, diverse company pushing ourselves and the technology to deliver beyond the cutting edge. A team of motivated characters and top minds striving to be the best at what we do at all times. Constantly learning and exploring new tools and technologies. Acting as company owners (all Vortexa staff have equity options)– in a business‑savvy and responsible way. Motivated by being collaborative, working and achieving together. Private Health Insurance offered via Vitality to help you look after your physical health. Global Volunteering Policy to help you ‘do good’ and feel better.
Principal Data Scientist in London employer: Vortexa Ltd
Vortexa is an exceptional employer that fosters a vibrant and diverse work culture, where innovation and collaboration are at the forefront. As a Principal Data Scientist, you will have the opportunity to work with cutting-edge technology in a fast-growing international environment, while enjoying flexible hybrid working arrangements and comprehensive benefits, including private health insurance and equity options. The company is committed to employee growth, encouraging continuous learning and providing avenues for mentorship, making it an ideal place for those looking to make a meaningful impact in the energy sector.
StudySmarter Expert Advice🤫
We think this is how you could land Principal 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 Vortexa 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 Principal Data Scientist at Vortexa 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 Vortexa Ltd.
✨Apply Directly through Our Website
When you find a suitable opening like Principal Data Scientist at Vortexa 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 Principal 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 Vortexa 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 Vortexa 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 Vortexa 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 Vortexa 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.
