Data Scientist at ClearScore

Description

ClearScore is a workplace like no other. We’ve spent the past six years disrupting an entire industry and building a user base of millions. At the heart of this success is our culture, where we work hard, relish change and treat each other with respect—helping everyone to reach their potential and deliver results that make a difference.

We’re on a mission to positively impact the lives of our users. Our product puts their needs at the centre of our thinking. Through cutting-edge tech, insightful analytics and beautiful design we want to help our users build their financial confidence and make better financial decisions.

This is an amazing opportunity to engage with a rich data set on 3 million users. We have captured every interaction the users have had with our high touch website and native apps, their fully monthly credit files and growing access to insurance, bank account and mobile data as well.

Ordinarily a data set this vast would be buried in legacy systems, however ClearScore is only 6 years old and operates a strict 'zero legacy' approach that means the data is held in an autoscaling AWS redshift environment. ClearScore is on a journey to turn this immense data asset into something that will improve our users' financial wellbeing.

We want our people to perform at their best, so we trust everyone to work in a way that suits them—focusing on output, not time spent at a screen. We have an inclusive culture where everyone is encouraged to look after their own wellbeing whilst growing and developing their career. This is an exciting opportunity to work within a fast-paced, rapidly growing team of talented data scientists, helping to build revolutionary experiences that will help millions of users manage and better understand their finances.

Responsibilities

• Building analytical tools:

  • Propensity models predicting user likelihood of acceptance, completion and offer for financial products

  • Consume data sets, build/train, validate, publish and retrain models that focus on credit risk and the applicability of products for our users

  • Building Feature Store process, creating common data pipelines between training and inference

  • Segmentation of users for commercial development

• Leadership:

  • S/he will work with various stakeholders in identifying and prioritising actionable, impactful insights across the financial product application process

  • Ensuring that most appropriate tools and techniques are used. Maintaining a roadmap of different tools and libraries

• Owning the roadmap:

  • Work with data engineering to define and automate data set creation

  • Ensure that the team is using the correct set of tools, processes, libraries etc for the task at hand. Coordinate an R&D effort

Requirements

• Graduated in quantitative Bachelors, or ideally, a higher degree

• At least two years of experience as a Data Scientist or similar

• Proven ability to understand business problems, setting up data science projects and building appropriate data sets.

• Ability to translate business requirements into Data Science solutions.

• You are intellectually curious and excited by working with large data sets.

• Familiarity with our toolkit: AWS environment using SageMaker. Most of the team uses Python, with a few using R

For more information on our tech stack check out our Tech Radar 2021, how we work is summarised in our Engineering Principles and we have many other Tech Blogs on Medium.

Benefits

• Holidays – 20 paid holidays and a “duvet day” on your birthday

• Pension (retirement annuity) with Allan Gray – ClearScore matches up to 6%

• Market-leading Medical Aid with Discovery (Executive Plan)

• R20k annual learning budget

• Flexible work hours and the ability to work from home

• Flexible, generous and personalised maternity and paternity plans

• Monthly team events and office days out that we get to choose, and company events at the end of each race and retro

• Company clubs for hiking, climbing, cinema, surfing... if there's not one for your passion, start one!