Data Scientist - Investigations

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Join Our Team at Ravelin as a Data Scientist - Investigations

About Ravelin

Ravelin is at the forefront of combating online fraud using state-of-the-art machine learning and network analysis technologies. We aspire to secure online transactions and instill confidence within our clients globally, all while fostering a robust company culture based on empathy, ambition, unity, and integrity. If you're looking for a dynamic workplace with a balanced work/life approach and a flat hierarchy, explore what Ravelin has to offer! Discover more on our and see why our team loves working here by checking our Glassdoor reviews!

The Role: Data Scientist - Investigations

We are excited to expand our team with a talented mid-level Data Scientist. This role involves working alongside our remarkable team of client-facing data scientists and support analysts to identify and analyze patterns in fraud data. You will employ exploratory data analyses to extract meaningful insights and develop actionable strategies to mitigate fraud risks.

Key Responsibilities:

  • Engage directly with clients to provide insights from fraud analytics and machine learning models.
  • Analyze large-scale datasets to spot fraud patterns, trends, and potential threats, enhancing client outcomes.
  • Address specific fraud challenges with clients to tailor sophisticated solutions effectively.
  • Create and present detailed reports of your findings.
  • Continually enhance model features and performance.
  • Optimize our network graph's efficiency through advanced network analysis techniques.
  • Work with state-of-the-art cloud infrastructure and maximize the use of analytical tools.
  • Develop and automate tools in Python to boost our analytics capabilities.

Requirements:

  • Proven experience as a data analyst, intelligence analyst, or data scientist.
  • Strong critical thinking skills with a keen interest in data problem-solving.
  • Excellent communication and presentation abilities.
  • Prior experience with SQL and running complex data queries.
  • Nice to have: Familiarity with ML techniques, network analysis, DBT, and Python for data analysis.

Benefits:

  • Flexible working hours with a hybrid model and modern office located at Old Street.
  • Competitive share options and home office setup budget.
  • Generous holiday package and dedicated days off for personal and cultural reasons.
  • Extensive well-being support including a yearly budget through Heka and mental health services via Spill.
  • Regular company socials, team activities, and opportunities for charity engagement and volunteering.

Additional Information:

Candidates are subject to pre-employment checks including criminal record verification and employment validation. All candidates must possess the right to work documentation.

Company Name: Ravelin
Job Title: Data Scientist - Investigations
Location: Old Street, London

If you're ready to make a significant impact in a cutting-edge, supportive environment, to become part of Ravelin’s journey in safeguarding the digital world.