FAQs
What is the main purpose of the Data Scientist role?
The main purpose of the Data Scientist role is to identify and develop new applications of data science and AI across the business, enhancing customer propositions and creating automated solutions that simplify financial decision-making.
What types of machine learning methods will I be working with?
You will work with a variety of supervised and unsupervised machine learning methods to enhance existing data science products and applications.
What teams will I collaborate with in this role?
You will have the opportunity to collaborate with a wide range of teams, including Marketing, Product, and UX/CX, to identify use cases for data science initiatives.
Is experience in Python and SQL required for this position?
Yes, strong proficiency in Python and SQL is required for the Data Scientist role.
What is the expected level of communication for this role?
You are expected to communicate technical outputs and results to a non-technical audience in an engaging and impactful way, including presenting findings to senior management.
What kind of projects will I manage in this role?
You will manage the scoping and delivery of data science projects, including defining requirements, feasibility assessments, and timelines.
What personal qualities are desirable for this position?
A passion for solving real-world customer problems with data science, self-motivation, curiosity, and effective communication skills are desirable qualities for this position.
What benefits does the company offer?
The company offers a competitive salary, hybrid working, generous holiday allowance, private healthcare, an electric car scheme, and paid development, wellbeing, and CSR days.
Is prior experience necessary to apply for this job?
While the company appreciates diverse skills and experiences, they do not expect candidates to tick all the boxes but would love to hear what makes you a great fit for the role.
How will my work contribute to the company’s mission?
Your work will directly enhance customer propositions and contribute to creating an automated quoting engine, making financial decision-making simpler for everyone.