Data Scientist

Wheely·Londonmid

In short

→Científico de datos que diseña e implementa modelos ML en producción para optimizar logística de transporte.
→Trabajo diario: investigar, prototipar y desplegar modelos en equipos enfocados en ETA, precios dinámicos, emparejamiento de conductores y rutas.
→Destacado: roles en equipos especializados (como Matching o Pricing) con impacto directo en la experiencia del usuario y rentabilidad.

Proficiency in English is required.

Apply on company site ↗Share on WhatsApp

In ~1 minute you get: who interviews you, the likely questions answered from your CV, and your CV tailored to this job. Free, no card.

The questions they'll ask you

1. ¿Cómo diseñarías un modelo para predecir el ETA en rutas urbanas teniendo en cuenta tráfico en tiempo real?

🔒 +7 more questions

No card. Upload your resume and the full dossier is ready in ~1 minute.

🎧Land the interview? Bring the copilot. Our free extension listens to the live interview and flashes 3-4-word anchors from your resume and prep — glance, connect, talk. Get the extension →

💵 USD · Remote · No visa

Not finding what you want? Try Micro1

Micro1 places engineers directly at US companies paying in USD. One vetting, multiple offers — no cold applying.

Get matched by Micro1 →

📬Jobs picked for YOUR resume, every morning on WhatsApp. Free: text “vacantes” and the bot sends your daily matches. Subscribe →

What they ask for

✓Formación académica sólida en ciencia, tecnología, ingeniería o matemáticas
✓2+ años de experiencia en ciencia de datos o ML (mid), 5+ para senior
✓Fundamentos sólidos en probabilidad y estadística
✓Capacidad para trabajar en equipo con ingenieros, diseñadores y product managers
✓Experiencia en prototipado e implementación de modelos ML en producción
✓Capacidad para resolver problemas ambiguos con enfoque técnico y analítico

Don't tick every box? That's normal — your free dossier shows your gaps and how to cover them in the interview.

ML modelsPythonSQLDockerKubernetesAirflowAWSPostgreSQLRedisGCP

Who should you write to at Wheely?

Your free dossier identifies the people who'd interview you — their background, what they value, and how to reach out so you stand out before applying.

About Wheely Wheely is redefining premium transportation across major cities in Europe, the US, and the Middle East. We blend cutting-edge technology with the craft of five-star chauffeuring to deliver an experience trusted by more than 100,000 active riders and 1,200 corporate accounts. We’re a profitable, fast-growing scale-up with $43M raised and over $100M in annual revenue. Having recently launched in New York City, we’re expanding rapidly across the US and EMEA. If you take pride in your craft and want to help shape the next chapter of our growth, we'd love to hear from you. About The Role We're hiring mid-level and senior Data Scientists / ML Engineers. You will own the entire process: from ideation and research through to production deployment. You'll join one of several hiring teams (Mapping, Matching, Pricing, or Supply) tackling challenging & high-impact problems such as ETA prediction, routing, map matching, dynamic pricing, bipartite matching, driving style prediction, and LLM integration. Responsibilities • Collaborate with engineers, designers, and product managers to solve ambiguous problems • Research, prototype, and ship ML models into production • Continuously improve existing algorithms and identify opportunities for new ones Requirements • Strong academic background in a STEM field • 2+ years of experience in Data Science or Machine Learning for mid-level; 5+ years for senior roles • Strong foundation in probability & statistics Nice To Have • Experience with geospatial data or routing (particularly relevant for the Mapping team) • Background in operations research or combinatorial optimization (particularly relevant for the Matching and Pricing teams) • Experience deploying real-time or latency-sensitive ML systems What We Offer • Office-based role in West London, four days a week with flexible start and finish times, plus one remote day of your choice • Salary: £90,000 – £110,000 • Employee stock options plan • Private medical and dental insurance • Life and critical illness cover • Latest-generation MacBook Pro and 4k display • Monthly credit towards Wheely journeys • Cycle to Work scheme • Professional development stipend • Relocation support, including visa sponsorship and allowance All of your personal information will be collected stored and processed in accordance with Wheely’s Candidate Privacy Notice Find Jobs in United Kingdom on Arbeitnow

Looking for something similar?

Leave your email and we'll alert you when matching jobs appear.

Don't apply unprepared

We research who's interviewing you, tailor your CV and rehearse you live — first one free.