Data Scientist - Remote

Location City of London
Discipline: Fintech, Blockchain, Crypto , Software Engineering
Job type: Contract
Salary: ££700 Inside IR35
Published: 30 days ago
Startdate: ASAP

WE ARE HIRING!

​We are looking for a Data Scientist to join our Partnership Experience product area and help drive research and data initiatives. As part of our team, you will study user behaviour, strategic initiatives, product features and more, bringing data and insights into every decision we make. Your work will impact how we think about our users, our ability to identify and satisfy their needs, and build compelling customer support offerings and experiences informed by those needs. This is a highly impactful role where you and the rest of the team will be able to directly impact how millions of users are supported around the world. What you’ll do

Co-operate with cross-functional teams of data scientists, user researchers, product managers, designers and engineers who are passionate about our consumer experience.

Perform analysis on large sets of data to extract impactful insights on user behaviour that will help drive product and design decisions.

Communicate insights and recommendations to stakeholders across our platform.

Be a key partner in our work to build out our product strategy so that we are relevant in the daily lives of consumers. Who you are

Relevant experience or a degree in statistics, mathematics, computer science, engineering, economics or another quantitative subject area.

Strong interpersonal skills and are comfortable working with multiple stakeholders. Know how to understand and tackle loosely defined problems and come up with relevant answers and impactful insights.

You enjoy sharpening questions and developing hypotheses for yourself and can think together with others while clarifying their assumptions and hypotheses. Extensive experience using various analysis techniques, such as linear and logistic regression, significance testing, and statistical modeling.

Proficiency with Python, or similar programming languages.

Experience with Google BigQuery or proficiency in SQL.

Extensive experience using various analysis techniques, such as linear and logistic regression, significance testing, and statistical modeling.

A/B testing methodologies.

Great data visualisation skills and dashboarding experience