Senior Data Scientist

Wayve; London (KY); Hybrid; USD 95,000 - 149,000; Full time

Benefits offered by this job

Hybrid work arrangement

Job summary

Wayve is seeking a Data Scientist to partner with AI engineers, developing insights from real and simulated driving to improve the Wayve AI Driver and guide product enhancements.

You will design experiments, define performance metrics, and help translate findings into actionable improvements for safety and performance. The role requires collaboration across time zones in a fast-moving tech environment with a hybrid London office.

Qualifications

• 3+ years experience in a Data Science role.
• Fluent in querying and building large datasets, writing production-level SQL for data pipelines.
• Prior experience designing robust real-world experiments (e.g. A/B) and critically evaluating test-statistics
• Foundations in the fundamentals behind statistics: testing distributions and assumptions behind frequentist stats
• Proficient in a statistical scripting language and data science/ML packages (e.g. Python with pandas, sklearn, statsmodels, scipy or R with dplyr, caret, stats)
• Well-versed in summarising, visualising and communicating findings clearly
• Track record of influencing team direction through findings
• Bias towards deriving actionable insight for prioritisation and strategy
• Comfortable working asynchronously across time zones
• Curious about building AV2.0 and how we build it

Responsibilities

• Partner with AI engineering teams to develop actionable insights guiding improvements to the Wayve AI Driver.
• Design experiments and targeted measurements to ensure product requirements prioritize safety and performance.
• Investigate factors in model training and inference leading to bottlenecks and validate hypotheses for improvements.

Skills

SQL

Experiment design

Statistics fundamentals

Data communication

Cross-functional influence

Time-zone collaboration

Curiosity for AV2.0

Tools

Python

Pandas

Scikit-learn

R

Spark

Hadoop

PyTorch

Job description

The Role

As a Data Scientist supporting AI engineers, you will partner with one or more engineering teams, developing actionable insights that guide improvements to the Wayve AI Driver. Using experimental and observational analyses of real and simulated driving, you will help teams advance the functionality, safety, and performance of the Wayve AI Driver, helping to advance Wayve as the leader in end-to-end AI for autonomous mobility.

This means you might:

• Formulate and iterate upon the performance metrics that organize our engineering efforts and guide progress toward commercial success

• Design experiments and targeted off-road measurements to ensure that we deliver product requirements to customers while maintaining safety and performance

• Investigate factors in model training and inference leading to bottlenecks in functionality and performance, identifying and validating hypotheses for unlocking improvements

About you

Essential:

• 3+ years experience working in a Data Science role.

• Fluent in querying and building large datasets, writing production-level SQL for use in data-transformation pipelines.

• Prior experience designing robust real-world experiments (e.g. A/B) and critically evaluating test-statistics

• Foundations in the fundamentals behind statistics: testing appropriate distributions, testing the assumptions behind frequentist stats

• Proficient in using a statistical scripting language and data science/ML packages (e.g. python such as pandas, sklearn, statsmodels, scipy or R such as dplyr, caret, stats)

• Well-versed in summarising, visualising and communicating findings in an accessible and compelling way

• Track record of influencing team direction through your findings

• A bias towards deriving actionable insight that can be used to drive prioritisation and strategy for others.

• Comfortable working asynchronously across time zones with cross-functional partners

• You are deeply curious about building something new and relish the idea of helping to define AV2.0 and how we build it.

Desirable:

• Practical experience with machine learning (e.g. PyTorch). Passion to take research ideas to production.

• Track record of promoting statistical rigour and experimental best practices in your prior roles.

• Prior experience using causal inference/econometric techniques and bayesian methodologies for hypothesis testing.

• Prior experience using large datasets with distributed computing (e.g. spark, hadoop or other map-reduce tech)

• Experience working in a fast-moving tech company or startup.

This is a full-time role based in our office in London (2 days a week in the office). At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home.