Data Scientist II

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Data Scientist II

Do you enjoy using a data-driven approach to uncover information and insights?

Are you looking to utilize your data analytic skills in helping to support leading Risk and Fraud solutions?

About The Business

LexisNexis Risk Solutions is the essential partner in the assessment of risk. Within our Financial Services vertical, we provide customers with solutions and decision tools that combine public and industry specific content with advanced technology and analytics to assist them in evaluating and predicting risk and enhancing operational efficiency. Our risk solutions help drive better data-driven decisions across the Global Products and Analytics Team. You can learn more about LexisNexis Risk at the link below.

https://risk.lexisnexis.com/financial-services

About The Job

As a Data Scientist II, you will be collaborating with teams to receive, analyze and manipulate data, along with creating processes and tools to assist customers in making informed decisions about their data. You will learn about different LexisNexis solutions and use a variety of Cloud and PC based tools.

About The Team

The Data Scientist II will be joining the LexisNexis Risk Solutions Global Products and Analytics Team, helping to support analytics products for both internal projects and external customers. We also work alongside our Analytic Consulting and Modeling partners to provide data and product insights.

You Will Be Responsible For

• Conducting statistical analysis and modeling to identify patterns and trends in large data sets.
• Developing and deploying machine learning algorithms to improve predictive accuracy and efficiency.
• Collaborating with business stakeholders to understand their needs and translate them into data-driven solutions.
• Creating data visualizations and dashboards to communicate insights to non-technical stakeholders.
• Identifying opportunities for process improvement and automation using data analysis.
• Conducting A/B testing to evaluate the effectiveness of different business strategies.
• Mentoring junior team members and providing guidance on best practices in data science.
• Staying up-to-date with the latest developments in data science and machine learning.
• Performing all other duties as assigned.
  
  

Qualifications

• Have Bachelor's degree in computer science, mathematics or statistics (or equivalent years of experience.)
• Must have quantitative skills shown through completion of undergrad/post-secondary program in mathematics, statistics, or data science. Master's preferred.
• Experience building predictive models or conducting data analysis using R, Python or similar software package.
• Knowledge of statistical analysis methodologies and in particular machine learning.
• Experience with R, Python or similar software packages.
• Be able to communicate technical concepts to non-technical stakeholders.
• Have experience working with large and complex data sets.
• Be able to work independently as well as collaboratively in a team environment.
• Display exceptional analytical and problem-solving abilities.
• Be able to manage multiple projects and priorities simultaneously.
  
  

Culture And Benefits

Learn more about the LexisNexis Risk team and how we work here.