Graduate Data Scientist

3 weeks ago

Melbourne, Victoria, Australia Buscojobs Full time

Graduate Data Scientist II- Fraud

About the business : LexisNexis Risk Solutions is a key partner in risk assessment. Within our Business Services vertical, we offer solutions that help businesses of all sizes increase revenue, improve operational efficiency, and enhance customer experience. Our solutions address challenges in Anti-Money Laundering, Identity Verification, Fraud, Credit Risk mitigation, and Customer Data Management. More about LexisNexis Risk can be found here.

About our Team : You will join a team of data scientists and analysts working with global data from our fraud solutions, including ThreatMetrix, Behaviosec, and Emailage, to develop and optimize solutions for enterprise clients.

About the role : Your expertise in data analysis, statistical modeling, and machine learning will directly impact reducing fraud, lowering customer friction, and increasing profitability. You will analyze billions of transactions monthly across sectors like Financial Services, Insurance, e-Commerce, and On-Demand Services. Collaboration with product, engineering, account teams, and external leaders will be essential. Your models will protect revenue against motivated attackers.

Responsibilities :

  • Design and implement machine learning or rule-based models following best practices and governance standards.
  • Use SQL and Python to develop features capturing evolving fraud patterns.
  • Create tools to improve model training and analytics workflows.
  • Apply problem-solving skills to turn data uncertainty into actionable insights.
  • Deliver presentations and communicate insights effectively to diverse audiences.
  • Develop knowledge of cybercrime types such as account takeover, scams, social engineering, CNP fraud, money laundering, and mule fraud.
  • Prioritize tasks effectively in a fast-paced environment with changing priorities.

Requirements :

  • Experience in data science, preferably in fraud, risk, banking, or payments.
  • Proficiency in Python and SQL; experience with BI tools like Tableau or Power BI is a plus.
  • Hands-on experience with machine learning development, evaluation, deployment, and ML Ops principles.
  • Ability to create polished presentations and communicate insights clearly.
  • Strong multi-tasking and prioritization skills in dynamic environments.
  • Fluency in English; additional languages like Japanese are advantageous.

Benefits :

Our benefits include:

  • Generous holidays with buy options
  • Optical Assistance
  • Life & salary insurance
  • Electric Vehicle Lease Scheme
  • 14 weeks maternity/paternity leave
  • Wellbeing programs
  • Employee Assistance Program
  • RECARES volunteering days
  • Access to learning resources and employee groups

We support accessible hiring and encourage applicants needing accommodations to contact us. Beware of scams; we never ask for money or banking info during recruitment. More about our privacy and equal opportunity policies can be found here.

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