Data Scientist

Wheely Ltd.; London; On-site; GBP 50,000 - 90,000; Full time

Job summary

An innovative company is seeking mid-level and senior Data Scientists / ML Engineers to join their dynamic teams. You will be responsible for the entire process of building models, from ideation to implementation in production. This role involves tackling challenging problems such as predicting ETAs and optimizing pricing strategies. With a focus on user privacy and a commitment to a five-star service, this company offers a collaborative environment where your contributions will directly impact millions of rides. Enjoy flexible working hours, stock options, and a range of exceptional perks as you help shape the future of ride-hailing.

Benefits

Equity in the form of stock options

Relocation allowance

Visa sponsorship and assistance

Office lunches

Private medical insurance

Newest Mac equipment

Professional development stipend

Qualifications

• 2 years of experience in Data Science or Machine Learning.
• Excellent programming skills in Python and relevant tools.

Responsibilities

• Collaborate with engineers and product managers to solve complex problems.
• Build proofs of concept and improve existing algorithms.

Skills

Python

Data Science

Machine Learning

Probability and Statistics

Education

STEM degree from a top 3 university

Tools

Relevant Data Science tools

Job description

Wheely is not a traditional ride-hailing company. We are building a platform with user privacy at its core while successfully scaling a five-star service to millions of rides across multiple cities.

We are looking for mid-level and senior Data Scientists / ML Engineers at Wheely. You will own the entire process of building, from initial ideation and research to implementation of models in production.

You will join one of our three marketplace teams (matching/ pricing/ mapping) - working on difficult problems such as predicting ETAs, dispatching immediate and future requests as well as pricing journeys to maximize demand & supply.

Responsibilities

• Work with a cross-functional team of engineers, designers and product managers to solve ambiguous problems and implement algorithms in production
• Building new proofs of concept and improving existing algorithms
• Researching and then delivering PoC into products

Requirements

• STEM degree from a top 3 university in your country
• 2 years of experience in Data Science / Machine Learning or similar
• Excellent programming skills in Python and relevant tools
• Deep understanding of fundamentals of probability and statistics

What we offer

Wheely expects the very best from our people, both on the road and in the office. In return, employees enjoy flexible working hours, stock options and an exceptional range of perks and benefits.

• Equity in the form of stock options
• We provide a relocation allowance to cover flights/ initial accommodation, and we also provide visa sponsorship and assistance.
• Office lunches, as Wheely has an in-person culture
• Private medical insurance
• Newest Mac equipment
• Professional development. An annual stipend to use for continuing education courses, programs, conference or certifications.