Principal Data Scientist
Ritual
full-time
Posted on:
Location Type: Hybrid
Location: London • United Kingdom
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Job Level
About the role
- Become a key part of Data Platform Team to play a central role in designing, implementing, and deploying advanced AI/ML methodologies and production‑grade systems.
- Collaborate closely with software engineers, data scientists, and domain experts to translate cutting‑edge research into operational, trading‑ready intelligence.
- Your work will be held to the scrutiny of energy analysts, traders, operations teams, and regulatory stakeholders, and must meet performance, reliability, and robustness standards required for critical energy infrastructure.
Requirements
- You Are
- - A demonstrably strategic, high-impact and experienced individual contributor capable of leading complex projecs 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
Benefits
- - 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
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
Machine LearningArtificial IntelligencePythonRegression ModelingClassification ModelingClusteringTime-Series AnalysisAnomaly DetectionSequence-to-Sequence ArchitecturesStochastic Optimisation
Soft Skills
Strategic ThinkingCollaborationMentoringTechnical DebateProblem SolvingCommunicationLeadershipAdaptabilityCritical ThinkingIntellectual Rigor
Certifications
PhD in Computer SciencePhD in StatisticsPhD in Applied MathematicsPhD in Physics