At a Glance
- Tasks: Design and develop algorithms that transform public transport systems into smart, efficient networks.
- Company: Join Via, a leader in transportation technology committed to social good.
- Benefits: Competitive pay, equity options, health benefits, and flexible work arrangements.
- Other info: Dynamic team environment with opportunities for professional growth and innovation.
- Why this job: Make a real impact on global transportation while working with cutting-edge technology.
- Qualifications: M.Sc. or Ph.D. in a quantitative field and 3+ years of relevant experience.
The predicted salary is between 63000 - 77000 £ per year.
Via is on a mission to create public transportation systems that provide far greater access to jobs, healthcare, and education.
Our platform serves as the technology backbone for modern transit networks, transforming antiquated and siloed public transportation systems into smart, data-driven, and efficient digital networks.
With hundreds of agency partners around the world, Via is recognized as the leading transportation technology and service provider globally.
As an
Algorithm Researcher at Via, you’ll join our R&D team in London as part of the core Algo group, which is responsible for developing and maintaining Via’s proprietary algorithms that run in production on our live servers.
The role sits at the intersection of algorithm development, data science, and software engineering
You’ll work on complex algorithmic problems, explore and evaluate different approaches, and turn your solutions into reliable production systems that support Via’s transportation networks around the world.
If you enjoy combining analytical thinking, algorithms, data, and hands-on development, this position might be just for you!
What You’ll Do
- Design, develop, and improve Via’s core algorithms and business logic, solving complex real-world problems.
- Explore and evaluate algorithmic approaches using data, 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 the performance of our algorithms.
- Take ownership of complex technical problems, from initial research and exploration through to production.
- Work in close collaboration with algorithm developers, researchers, data scientists, and software engineers.
Who You Are
- M. Sc. or Ph. D. in Computer Science / Mathematics / Statistics / Operations Research / 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 working with data and applying data science, optimization, or analytical techniques to solve complex problems.
- Experience taking algorithms, models, or prototypes and turning them into production systems.
- Experience with Dev Ops and cloud infrastructure (Kubernetes, etc.) — strong advantage.
- Experience in architecture and maintaining cloud systems — strong advantage.
- Curious and analytical: you enjoy exploring different approaches and understanding the data behind your solutions.
- Pragmatic: you can break complex problems into smaller problems and find simple, effective solutions.
- Hands-on: you enjoy taking ideas from research or experimentation all the way into production.
Compensation and Benefits
- Becoming part of a company that was awarded for its commitment to social good:
- We are one of 17 Ventures That Embody the U. N.’s 17 Sustainable Development Goals
- Inc. Magazine’s “Best in Business” Awardee in the software category for Companies That Put Purpose Before Profit
- Competitive compensation including equity
- A spacious office near Chancery Lane, where you can enjoy weekly team lunches
- Comprehensive health scheme offered through AXA
- Partnership with Yellow Nest, a salary exchange benefit that helps reduce childcare fees for working parents
- Cycle to Work Scheme - multiple options via Green Commute Initiative (GCI)
There has never been a more exciting time to be on the cutting edge of public mobility. Ready to join the ride?
Via is an equal opportunity employer.
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Algorithm Researcher in London employer: Via Transportation, Inc.
At Via, we are committed to fostering a dynamic and inclusive work environment that empowers our employees to make a meaningful impact on global transportation. As a Strategy & Operations Associate, you will benefit from a culture of collaboration and innovation, with ample opportunities for professional growth and development. Our comprehensive benefits package, including free medical plans and 401K matching, reflects our dedication to supporting your well-being while you contribute to our ambitious goals.
StudySmarter Expert Advice🤫
We think this is how you could land Algorithm Researcher in London
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Via Transportation, Inc. or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Via Transportation, Inc..
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Via Transportation, Inc..
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Via Transportation, Inc. that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Algorithm Researcher in London
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Via Transportation, Inc..
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Via Transportation, Inc. and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Via Transportation, Inc.
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Via Transportation, Inc. uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
