10 дней назад
Algorithm Researcher (Data Science)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Algorithm Researcher (Data Science): Developing and improving production algorithms for public transportation networks with an accent on algorithm development, data analysis, and reliable software engineering. Focus on evaluating algorithmic approaches, analyzing large datasets, and turning research prototypes into mission-critical production systems.
Location: London, United Kingdom; the role is based in the R&D team office near Chancery Lane.
Company
develops software and services that help public transportation agencies operate smart, data-driven, and efficient transit networks.
What you will do
- Design, develop, and improve core algorithms and business logic for complex real-world transportation problems.
- Explore and evaluate algorithmic approaches through data analysis, experimentation, and analytical methods.
- Develop and maintain mission-critical services that bring algorithmic solutions into production.
- Work with large datasets to analyze system behavior and improve algorithm performance.
- Own complex technical problems from initial research and exploration through production implementation.
- Collaborate with algorithm developers, researchers, data scientists, and software engineers.
Requirements
- M.Sc. or Ph.D. in Computer Science, Mathematics, Statistics, Operations Research, or a similar quantitative field.
- 3+ years of relevant industry experience in algorithm development, data science, research, or software engineering with a strong algorithmic focus.
- Strong knowledge of algorithms, data structures, and analytical problem-solving.
- Strong Python skills and experience developing production-quality code.
- Experience applying data science, optimization, or analytical techniques to complex problems.
- Experience turning algorithms, models, or prototypes into production systems.
Nice to have
- Experience with DevOps and cloud infrastructure, including Kubernetes.
- Experience designing and maintaining cloud systems.
- Curiosity, analytical thinking, pragmatic problem-solving, and a hands-on approach to production development.
Culture & Benefits
- Work on public mobility technology supporting access to jobs, healthcare, and education.
- Competitive compensation including equity.
- Comprehensive health scheme through AXA.
- Weekly team lunches at the London office.
- Salary exchange benefit helping reduce childcare fees for working parents.
- Cycle to Work Scheme with multiple options through the Green Commute Initiative.
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