Exploratory Data Analyst / Python

  • concirrus
  • London, UK
  • 27/03/2020
Full time Data Science Data Analytics Big Data Statistics

Job Description

This role reports to the data and technology acquisition department with the primary driver of increasing the value of our Quest products by extending the availability of validated data content which can increase operational performance of commercial insurance inclusive of ratings, portfolio optimisation, underwriting and loss mitigation.

The Exploratory Data Analyst will proactively ask questions, be highly structured, inquisitive and detail orientated with a background in maritime technical operations they will bring this experience to our business and engage with both external and internal stakeholders.

This is an exciting and rewarding role requiring a smart, disciplined and growing analyst who is statistically savvy and passionate for finding new value from data.

Research and early validate third party data sources to improve the performance of our marine products statistical inference or increase end user data feature availability.

Major Responsibilities:

  • Perform exploratory data analysis (EDA) to qualify content and its relationship potential to maritime risk:
  • Quantify quality, completeness and consistency of data set.
  • Process, clean and structure data in preparation for EDA.
  • Perform analysis of data and produce report of results including graphical representations.
  • Suggest hypothesis and list assumptions for ongoing validation.
  • Create toolsets to optimise and scale the way we perform EDA ongoing.
    • Prioritise, distribute and effectively communicate results with data science and product personnel.


Concirrus is on a mission to change the way that insurance works forever. You might live in a ‘safe’ area with your car parked in a garage overnight, but what if you spend all day driving around on congested motorways at a high risk of a crash? From an insurer’s point of view, shouldn’t your insurance premium reflect your daily behaviour rather than your demographic data i.e. where you live.

The fact is, behaviour is a much better indicator of risk than demographics and, working with some of the leading marine and motor insurers utilising our software Quest, we are proving this to be true.

Quest is a beautifully designed and intuitive web app built upon cutting edge technical architecture.

It pulls together multiple sources of industry data, combines that with an insurer’s own data and uses big data analytics, developed by our in-house team, to derive new behavioural insights for our customers.

With backing from insurance and deep tech investors, co-founders with previous start up experience, and a clever and passionate team based in London and Delhi, we’re looking for exceptional people excited by our vision to help us make it happen.


We'd love to hear from you if you

    • Have 2 years+ applied experience of working as a data analyst, preferably gained in a risk management function either from the maritime industry or commercial marine insurance.
    • Formal qualifications in mathematics, computer science, statistics or related subject.
    • Good understanding of programming in python or R with a strong interest in improving these skills. You will have strong competencies in cleaning, processing and analysing external industry data, and will bring a creative approach to building, performing and scaling EDA projects.
    • You will be someone who wants to thrive in a scale-up culture and will meet the challenges of working in a fast-paced environment which is going through exceptional growth.

It would be great if you

    • Have good interpersonal skills and ability to communicate results and share knowledge.
    • Experience with Data Visualisation tools and techniques.
    • Good understanding of python visualisation packages e.g. matplotlib, seaborn and plotly/dash.
    • Experience of extracting data from external sources programmatically through an API and FTP.
    • Experience in using big data platforms such as Apache hadoop and spark.
    • Experience within the insurance or logistics industry.

Tools we use

    • SQL
    • Advanced Excel for early data wrangling.
    • Preferable working knowledge of Python with specific packages for EDA e.g. numpy, pandas


As well as the opportunity to work on projects that you enjoy in an environment you’ll love, we like to look after our team members at Concirrus. Here are some of our perks:

    • Employee share scheme so you get to own a piece of the pie.
    • We pay competitively with regular pay reviews.
    • 25 days holiday.
    • Learning and development opportunities.
    • Spacious, modern offices a stone’s throw from the culinary delights of Borough Market and London Bridge station. There’s an array of places to enjoy a drink or two after work and you’ll never be short of a recommendation from the team. The office is located on St Thomas Street, opposite The Shard.
    • Coffee and snacks are all on hand in the office to keep you fuelled.
    • Friday FED talks – like TED talks, but you get fed (on us).
    • Regular team drinks, birthday cakes and social events.
    • Pension scheme – generous matched contribution.

Plus, we’re always on the lookout for creative ways to look after our employees and encourage them to come to us when they have an idea or need.