One stop solution to your remote job hunt!

We're looking for a graduate data scientist to join our data team.

< class="h3">The Data Team

The data team is composed of Data Scientists and Data/Software Engineers at the forefront of generating value from a rich repository of data sources. Its function is critical to the day-to-day running of the business, and it also spearheads the development of novel ideas to exploit new commercial opportunities.

You can expect to work on:

• The Machine Learning based transaction categorisation engine that underpins the budgeting capabilities of the app and affordability checking, e.g. for mortgages.
• Analysis of the characteristics of the user base, i.e. user segmentation, to support business decisions. For instance, what’s the current financial situation of the users of the app, what are their goals and how should the product be developed to aid the user in their journey?
• The development of targeted nudges based on current and historical data to ensure financial wellness. As an example, a well known principle is that users should spend 50% of their net income on essential expenses, 30% on wants and 20% on savings & investments; you could be developing techniques to measure how well someone aligns with this viewpoint and helping the user achieve a state of financial zen.

Requirements

You should:

• Have 3 or more years of experience as a Data Scientist.
• Be fluent writing code in Python and queries in SQL. We use Jupyter notebooks, Python and Pandas frequently for analysis.
• Understand a wide range of classification/regression algorithms and have applied them using libraries such as scikit-learn.
• Have implemented regression analysis and understand how to interpret the results. More generally, you know how to apply appropriate statistical techniques to assess the significance of results.
• Be able to take raw data sets and build narratives around insights you discover; presenting results in a way a non-technical audience can understand and act on.
• Appreciate the importance of data cleaning and have previously applied a range of approaches to achieve this.
• Have a bachelor's or master’s degree in a numerical or engineering subject such as Data Science, Mathematics or Computer Science.

Benefits

We champion flexibility, and we trust and respect our employees to deliver results in a way that best suits them, working around their own lives and commitments. As well as a truly flexible approach, we also offer a fantastic range of benefits, including:

• 10% contribution towards your Pension from your very first day with us;
• 25 days of holiday (plus bank hols), rising to 30 days after two years;
• choose whether to take your entitlement to UK bank holidays at other times more appropriate to your own celebrations or days of significance
• private medical insurance, including cover for pre-existing conditions, plus dental and optical benefit;
• 6 week Moneyhubber Family Pay when you become a new parent;
• permanent health insurance and life cover (death in service);
• employee assistance programme;
• professional development support;
• life event leave;
• holiday purchase and more.

< class="h3">Location

We embrace flexible working, including remote working on UK-hours (and can help with the cost of setting up your home office if needed). If you prefer to come in sometimes, we have an office in the centre of Bristol with all of the usual facilities. On occasion, we like to get together in person - either at HQ in Bristol or elsewhere - and would like you to join us for these sessions if your personal circumstances allow.

< class="h3">Interview Process

We are building amazing and erse teams. We always strive to create a fair selection process that gives every candidate an equal chance. Our CVs are anonymised prior to being screened and the process itself is designed so that we can be consistent when evaluating candidates and minimise the effects of unconscious bias.

We have the following interview stages:

1. (Optional) initial 30 minute interview for you to gain a better understanding of the role, and the culture and benefits we offer at Moneyhub. This is usually with the Lead Data Scientist.
2. Take home technical exercise relevant to the role, carried out in your own timescales (between 1-3 hours).
3. Final interview with members of the team you are most likely to be working with, to go through your technical exercise and in depth on the areas most relevant to this role.

We want you to finish the process with us feeling that you were able to demonstrate you at your best, so at each stage we will try to make sure you are at ease and as comfortable as possible. If you are concerned by any part of the process then please let us know and we can adjust accordingly.

< class="h3">Adjustments

If you require any reasonable adjustments to do this role, please include in your application.