Senior Data Scientist
We’re looking for a talented senior data scientist to identify insights in big data by building ML models and using AI techniques to help Insurance companies support small business owners in understanding their insurance risks.
About the role
As a data scientist you’ll be researching what insights can be found in both public and private data sets which would help identify types and levels of insurance risk for small and medium-sized enterprises (SMEs). We are building our Data Asset buy being able to use ML to learn about a company and identify trends in claims and risk information. It is our desire to have all permutations of risk about every SMEs in the world available to ensure that each individual company knows exactly what insurance to buy. We’re looking for someone who is comfortable in identifying trends from a disparate set of data, including both publicly-available datasets (such as Google or Companies House information) and private datasets (such as historic claims information). Our data science team have a wide-ranging remit, from pure research on new datasets, through building out models and services that can be productionalised by our Development team, to working directly with our growing customer list. You’ll be reporting directly to our Chief Technology Officer and will have the ability to not only mentor other members of the Data Science team but also propose new research directions we’ve not thought of before - we want thinkers and doers, not worker drones. As we’re a growing start-up, we don’t like to pigeon hole people so expect the freedom to try a number of different things.
Who are we?
Digital Fineprint is a multi-award winning insurtech start-up based in the heart of London. Our mission is to deliver ground breaking Insurance Analytics Software that helps protect all small businesses. We are a well-funded start-up with investment from Pentech Ventures (the first investors in Nutmeg and FanDuel), Eos Venture Partners, and FOM Capital. Our client list is growing and already includes insurers such as Hiscox, QBE and Zurich’s subsidiary Tennyson. Our leadership team has extensive experience and comes from a background in private equity, data science, development, and technology (Amazon, Twitter, Sovereign Capital). Digital Fineprint launched out of Oxford University in 2016 and has grown steadily in the time since.
Tech you’ll be working with
Our tech stack is always maturing, and we believe that using the right tool for the job is more important than adhering to any specific language, but at the moment we use Python (Flask) for our Data Science, and our production stack is a combination of this, React, Sass, PHP (Laravel), RabbitMQ, MongoDB, and a few other bits. We make use of AWS and Azure to both perform our research and to host our production products and services, and are always looking for ways to improve our tech and processes.
We’re looking for someone who can come in, make a difference, and increase the skill and strength of the team. We value the ability to get things done over most and would like to see evidence that you can do this. Some of the specific things that we’d like to see from you are:
- Proficient with Python
- Good understanding of statistical techniques/methods
- Experience in extracting, processing and analysing data sets
- Understanding of data & analytics applications in the business context
- General curiosity to explore value from data
- Clear evidence that you are always looking to develop your skills
- A few years of commercial development experience in a senior role
- Experience of mentoring more junior scientists in a commercial environment
- Evidence of interactions with non-tech teams
We’d be even happier if you had some, or even all, of the following:
- Experience using cloud computing for data science (AWS or Azure)
- Actuarial background or experience in insurance sector
We can offer you the opportunity to work in an exciting and growing arena with exposure to our Development team and their techniques. You will form part of an enthusiastic and exciting team who are all really easy to get on with. We offer a competitive salary and a range of benefits, including:
- Flexible working
- Subsidised gym
- Workplace health coaching
- Share options scheme
- Pension scheme
- Free drinks and treats
- Cycle2Work scheme
- Software credits
- Allowance for learning
- 23 days off + bank holidays
- Board game tournaments
- Regular team lunches and other team events
- The fast-paced, exciting start-up life
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, or disability status.