Data Scientist, Concirrus
2-5 days a week in office
Insurance analytics platform
Job no longer available
Insurance analytics platform
21-100 employees
Job no longer available
2-5 days a week in office
21-100 employees
Company mission
Concirrus' mission is to put advanced analytics in the hands of every insurer.
Role
Who you are
- Degree in Maths or Computer Science or related field
- Professional experience working as a Data/ML Scientist
- Excellent self-management and prioritisation skills, and proven track record of delivering complex projects to deadlines
- Excellent interpersonal skills and ability to work well with other members of the team as well as communicating with stakeholders in the business and to clients
- Strong data wrangling and processing skills along with a background in analysis and predictive modelling
- Extensive experience with supervised classification and regression modelling using linear and nonlinear techniques
- Knowledge of the full end-to-end modelling lifecycle from feature creation, selection, model-building, hyperparameter optimisation and model assessment
- Strong Python skills and exposure to other programming languages
- Strong problem-solving skills and inquisitive mindset
Desirable
- Experience with Big Data
- Experience using Apache Spark (preferably PySpark)
- Neural network and deep learning (TensorFlow, Keras, PyTorch)
- Understanding of Insurance related risk modelling and underwriting processes
- Track record of working with cluster computing and distributed systems
- Experience with command-line scripting, data structures and algorithms
- Ability to work in a Linux environment, processing large amounts of data in a cloud environment (AWS, Google Cloud Platform)
What the job involves
- You will enjoy working in a structured team environment. You will be inquisitive, and detail oriented, with the ability to create deep actionable insights, visualise data and build models for all aspects of our products. You will make use of diverse datasets ranging from commercial insurance to global sensor data gathered by our customers and internal teams
- On top of this, you will enjoy interrogating data to understand the best way to clean, merge, and derive maximum insight from the available data feeds
- Work in a multi-disciplined team to deliver projects to an agreed schedule according to the business roadmap
- Analyse and model structured and unstructured data using advanced statistical methods
- Perform full modelling projects to create linear and nonlinear models, including: data ingestion, feature creation and selection, cross-validation, hyperparameter tuning and model assessment
- Implement algorithms and software needed to perform analysis
- Research and evaluate new approaches to derive benefit from the significant data assets available
- Collaborate with Product teams to drive new product ideas and increase the value of data science within the product and organisation
Salary benchmarks
Our take
Concirrus was founded in 2012 with the intention of leveraging technology to transform the insurance industry - automotive and marine insurance in particular. Concirrus enjoyed early success due to its blend of deep domain expertise and application of data science to a market sector that was lagging behind other industries in adoption of new technologies.
The company’s behavioural-based underwriting platform, Quest, provides portfolio management and predictive analytics to its stakeholders by harnessing the power of AI, machine learning and data analytics. This enables insurers and brokers to accurately quantify risks, and therefore limit losses and increase profit. Concirrus has proven the efficacy of Quest through its analytics work with leading London and international insurers.
Separating out the signal from the noise, combining spatial data with other sources, and presenting the results back to an insurance professional in an effective manner is a wide-open opportunity. Concirrus hopes to maintain a high level of growth through international expansion and diversification, and through developing its AI tools to support additional use cases in specialty and commercial insurance such as submissions.
Freddie
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 8 rounds)
Apr 2022
$8.4m
LATE VC
Jul 2020
$6m
SERIES B
Total funding: $56.2m
Company benefits
- Stock options plan
- Regular pay reviews
- Learning and development fund
- Pension scheme and life insurance
- Friday FEDTalks (a presentation and a free meal)
- Season ticket loans
- Ride to work scheme
- Employee referral scheme
- Newlyweds, maternity and paternity leave
- Seasonal flu vaccinations
- 25 days holiday (excl. bank holidays)
- Work from home opportunities
- Health insurance
Company HQ
Spitalfields, London, UK
Leadership
Andrew Yeoman
(CEO)Has extensive experience in telematics, big data, and insurance in start-ups, turnarounds, and M&A. Founded Concirrus in 2012 and has led its strategy ever since.
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