Junior Data Scientist / B2C – FinTech – Credit – Tymit – London JUNIOR

London

£30,000 – £45,000 a year

A credit card from a tech company, not a Bank. Fintech credit makes up only a very small fraction of overall credit, but it is growing rapidly and Tymit will be at the forefront of the digital disruption in the credit card world.

At Tymit our mission is to reinvent the credit card to make it honest, safe, and more transparent, so you can achieve more peace of mind when managing your finances. To prove this to our users, we have built an elegant and very intuitive app linked to a credit card that’s designed to achieve better financial well-being and control like never before.

Based between London and Madrid, our talented and growing team is committed to creating a diverse and fun work environment putting the user at the centre of every decision we make. At Tymit, we have a mantra, customers are first because that’s what drives us, and our growth and we’ll continue catering to them that way.

We are small, but we think big. Do you want to join us?

Are you a Data Scientist ready to help us redefine the safest lending product in the market? We are on a mission to reinvent the credit card and the opportunities for you to make an impact are limitless.

We’re looking for a Junior Data Scientist to unleash the power of data with our customers. You will use data creatively to solve business challenges, often uncovering new and transformative opportunities along the way. You will focus on the development of advanced analytics models to optimize our business decisions.

To be successful in this role, you will have a natural curiosity to dig into unknowns, unearth insights buried in data, and provide practical conclusions.

During your time at Tymit you will

• Develop, improve and test company’s models to optimize lending decisions by using statistical modelling and simulation techniques.
• Design and prototype algorithms and models for credit/fraud risk assessment and product optimisation.
• Retrieve, clean-up and analyse unstructured data from multiple sources for data-driven product development.
• Engage with Engineering teams to ensure we capture data points that are relevant and useful for insights and modelling.
• Assist with the development of technical tools and platforms to standardize and streamline model development and monitoring processes.
• Continually explore and iterate statistical models and features to advance our understanding of key underlying business drivers.
• Work collaboratively with technical and non-technical teams to deliver insights to support the wider business.

What you will bring along

• You have a Bachelor’s, Master’s or PhD in math, statistics, computer science, engineering or related field.
• You have experience with data science and machine learning projects.
• You have relevant experience working with relational databases, such as SQL and some exposure to reporting and visualization tools like Looker, Metabase, Tableau, Plotly.
• You are comfortable coding in Python and having experience with libraries such as NumPy, Pandas and Scikit-learn is a nice to have.
• You enjoy navigating datasets. You love coding and getting hands-on with the raw data to really understand the underlying processes and nuances of the problem.
• You have a strong desire for exploring, evaluating and understanding new technologies.
• You can hit tight deadlines while work under pressure.
• You are a self-starter with the ability to work autonomously in a relatively unconstrained environment.
• You have passion for data, and you have the desire to build innovative, but practical, solutions to business problems.

Benefits