Data Scientist

Applied Intuition Inc.; Greater London; On-site; GBP 60,000 - 90,000; Full time

Job summary

A leading ride-hailing platform in Greater London is seeking mid-level and senior Data Scientists / ML Engineers to build and implement machine learning models. The role involves collaborating with a cross-functional team and solving complex problems like predicting ETAs and maximizing supply. Benefits include stock options, relocation allowance, flexible hours, and health insurance. The office is based in Hammersmith, requiring at least four days per week onsite.

Benefits

Equity in the form of stock options

Relocation allowance

Office lunches

Private medical insurance

Newest Mac equipment

Professional development stipend

Qualifications

• 2 years of experience in Data Science / Machine Learning or similar.
• Experience in implementing algorithms in production.

Responsibilities

• Collaborate with a team to solve ambiguous problems.
• Build proofs of concept and improve algorithms.
• Research and deliver PoC into products.

Skills

Excellent programming skills in Python

Deep understanding of probability and statistics

Education

STEM degree from a top 3 university

Tools

Machine Learning 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 teams (Passenger/ Supply/ Matching/ 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.

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This is an office-based role in Hammersmith, with at least four days per week required onsite. Are you comfortable with this requirement?