What Add job title, key skills
£
Scroll for more!

Data Scientist (Investigations)

Zoek Pin Barnsley, England

Competitive

Permanent (Full time)

Who are we?Hi! ???? We are Ravelin! We're a fraud detection company using advanced machine learning and network analysis technology to solve big problems.

If you’re interested in applying for this job, please make sure you meet the following requirements as listed below.

Our goal is to make online transactions safer and help our clients feel confident serving their we have fun in the meantime! We are a friendly bunch and pride ourselves in having a strong culture and adhering to our values of empathy, ambition, unity and integrity.

We really value work/life balance and we embrace a flat hierarchy structure company-wide.

Join us and you’ll learn fast about cutting-edge tech and work with some of the brightest and nicest people around - check out our Glassdoor this sounds like your cup of tea, we would love to hear from you! For more information check out our blog to see if you would like to help us prevent crime and protect the world's biggest online RoleWe are currently looking for a data scientist to join a fantastic team of client-facing data scientists and client support analysts.

You will be working with data scientists and crime analysts to discover patterns and trends concerning fraud in our clients' data.

In this key role, you'll be applying exploratory analysis to form realistic and useful narratives from data, asking “why” as well as “what” and “how".

You will interact directly and indirectly with clients to help them understand what is happening with their fraud, and help us to target our efforts ever more and optimise client performanceIdentify fraud patterns, trends and emerging threatsDevelop and execute database queries and conduct analysesDiscuss specific fraud problems with clients, in order to deeply understand how they manifest and to propose effective and elegant solutionsProduce regular analytical reports for clients that provide actionable insights into their fraud patternsPresent findings of analysis to clients (including on-site visits)Identify ideas for new ML features, and work closely with Detection team to improve model performanceSurface and dark web intelligence gathering

  • are up to date on the latest fraud trends and use this to counteract new fraud techniquesRequirementsExperience or training as a data analyst, intelligence analyst or data scientistStrong critical thinking skills, intuitively curious and able to diagnose data issuesStrong communication and presentation skillsDiligence, attention to detail, ability to prioritise and follow through on tasksKnowledge of SQL
  • ability to run complex queries to answer your own questionsKnowledge or understanding of Jupyter Notebooks, pandas, R or similarThe desire to thrive in a fast-paced, startup environmentSome knowledge, understanding or experience of data science topics (machine learning knowledge a bonus)Desirable: some knowledge, understanding or experience of network analysisBenefitsCompetitive salary & equity packageA minimum of 25 days annual leave + bank holidaysFlexible working hoursIndividual learning and development allowance of £1,000/yearRemote volunteer opportunities and monthly company charity donationsFortnightly team lunches with different people from across the company (currently via video chat!)Virtual quarterly company socialsCycle-to-Work and childcare schemesVirtual yoga twice per week as well as weekly board game and movie nights

Recently Posted

Report job
Apply on Hirer's Site
Apply on Hirer's Site
Similar Jobs
Loading...