At Flock, we’re on a mission to make the world a wiser, safer place.
Having soared to dominance within the UK drone trade we’ve now set our sights on enhancing threat administration throughout a number of sectors. Insurers all over the world wish to license our know-how platform and take part our mission to make the world a wiser, safer place.
We’re making Flock an incredible place to work and care deeply about creating a various and inclusive tradition the place everybody can succeed. You’ll find out extra about or firm values and advantages right here.
Here’s a hyperlink to our speak on the Knowledge Science Competition and a weblog our Tech Lead has written about our tradition in Engineering!
This position is essential to Flock as an organization and is concentrated on main the evolution of our world main Threat Intelligence Engine. You’ll be engaged on creating a scalable, versatile and generalized threat intelligence engine able to pricing a number of kinds of insurance coverage in real-time. Turning into conversant in all components of our cutting-edge information stack, and exercising judgement in key choices, similar to assessing trade-offs between statistical modelling and heuristic primarily based algorithms
On this position you’ll report back to our Tech Lead Abraham Polishchuk however work with quite a lot of expert groups and other people similar to Product, Engineering, Technique, Insurance coverage and our Founders Ed and Antton.
You’ll spend your time on:
Sustaining and bettering our present algorithms and modelsDesigning new algorithms and modelsExplaining our algorithms and fashions to non technical group mates, and presenting sanitized explanations to potential clients/investorsWork and collaborate inside an Agile time that repeatedly deploys to AWSPlan and estimate work on a weekly foundation whereas additionally contributing to our long run information strategyPlan and construct required elements for the Flock Threat Engine
You need to apply if:
You will have expertise working in Knowledge Science throughout the Insurance coverage industryYou get pleasure from writing code in Python, R, or an identical programming languageYou stayed knowledgeable of leading edge information science trade developments, and have a transparent grasp of when to prioritize advanced non-standard strategies over sooner less complicated approachesYou have a mathematical background and also you’re keen on superior probabilistic modelsYou are excited by decoding mathematical processes, and changing them to code, and have expertise mapping enterprise processes and desires onto mathematical modelsExperience working with some or all of our tech stack: Python, Jupyter, Postgres, NodeJS, Airflow, DBT, Haskell, AWS, Kubernetes, Terraform, Docker
When you’ve got any of those that’s superior, if not, we look ahead to educating you 🙂
Familiarity with Disaster ModellingExperience productionizing information science and algorithmic codeFamiliarity with widespread ETL Processes particularly AirflowFamiliarity with Postgres and Relational AlgebraFamiliarity with DBT and scalable information mannequin designFamiliarity with sort methods and kind theoryOpen supply contributions or different group engagementExperience working at a small startupA MSc or above in Synthetic Intelligence/Knowledge Science/Arithmetic or a associated subject
We advocate having a learn by way of our full firm values and advantages!
Our workplace is in Central London a brief stroll from Farringdon and Chancery Lane Underground stations.
The interview course of will encompass:
A Google Hangout with our Tech Lead & Knowledge ScientistA information targeted distant pairing exerciseA nose to nose interview with our Tech Lead, Founders + different group members
We need to be as accommodating as doable to everybody who interviews with us, so if in case you have any particular necessities please don’t hesitate to tell us!
Aggressive salaryOptions: we wish you to personal the work that you simply do. And this implies proudly owning the corporate you’re employed in. All workers obtain choices as a part of their compensation packagePension: we provide a full auto-enrollment office pension for all workers who need it. Nothing fancy right here. Only a pension
Giant quantities of autonomy and empowerment in your workHolidays: we provide 33 days of vacation every year, together with financial institution holidaysFlexible working location/working from dwelling: We belief you to determine an efficient working sample that means that you can excel in your position and makes you an incredible Flock group member!Centrally situated workplace subsequent to the culinary delights of Leather-based Lane meals market, in a devoted, brand-new workplace unfold throughout two flooring. Devoted bike storage, bathe amenities and rooftop terrace.
👩🎓👨🎓Studying & Improvement
Beneficiant books, programs and convention budgets for all employeesHackathons: we run a quarterly hackathon which lasts 24 hours. Everybody’s invited to affix inWeekly knowledge-sharing brown bag periods: study out of your colleagues (or educate us one thing new!)Intensive alternatives for private mentoring from our devoted advisory boards and investor group
A brand new Macbook (and equipment)An abundance of socials: fancy lunches, weekly quizzes, Friday drinks & snacks, video-games nights, Museum Lates and extra!Quarterly offsite adventures: each quarter the complete group do one thing loopy collectively. Like fly a aircraft to the coast!Commuting assist: we’re a part of the cycle-to-work schemeSports and social clubsUnlimited espresso, tea and contemporary fruit day by day
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