Senior Solution Engineer

Are you ready to use your data science and analytics skills to drive customer value and innovation? Do you thrive on solving complex problems and building tools that make a real impact for customers and colleagues?

About the Business:

Lexis Nexis Risk Solutions is the essential partner in the assessment of risk. Within our Business Services vertical, we offer a multitude of solutions focused on helping businesses of all sizes drive higher revenue growth, maximize operational efficiencies, and improve customer experience. Our solutions help our customers solve difficult problems in the areas of Anti‑Money Laundering/Counter Terrorist Financing, Identity Authentication & Verification, Fraud and Credit Risk mitigation and Customer Data Management.

You can learn more about Lexis Nexis Risk at

About our Team:
Our Operational Excellence team is a dynamic, emerging team of highly motivated professionals who collaborate across functions to deliver innovative analytics and machine learning solutions. We value independence, creativity, and a hands‑on approach—where you’ll have the opportunity to create “firsts” and showcase your work to both internal and external stakeholders. We leverage predictive and proactive analytics to maximize customer ROI, minimize attrition, and support revenue growth.

By focusing on customer health and product performance, we help our clients unlock the full potential of their solutions and drive measurable business outcomes.

About the Role:

The Senior Solution Engineer is a hybrid role, combining deep technical expertise with customer‑facing collaboration. You’ll spend most of your time developing internal tools and advanced analytics models, while also engaging with clients and internal teams to optimize solutions and share insights. This role is ideal for someone who enjoys both building and presenting, and who is passionate about using data to drive business value.

Responsibilities:

• Develop and maintain internal analytics tools for cross‑team use (approximately 80% of your time).
• Participate in client‑facing analytic calibration and optimization projects (approximately 20% of your time).
• Build, test, and deploy machine learning models and AI features to evaluate product maturity and performance.
• Prepare, process, and analyze data using a variety of coding languages (e.g., Python, SQL, Java, C++, R, SAS, Scala).
• Present results and recommendations to internal stakeholders and occasionally to customers.
• Document models, analytics processes, and best practices.
• Mentor junior data scientists and support their development.
• Collaborate with sales, professional services, and client success teams to identify and mitigate customer attrition risks.
• Independently manage small‑scale projects and contribute to larger, more complex initiatives with senior guidance.
• Apply best practices in data science, time management, and organizational skills.

Requirements:

• Proficiency in multiple programming languages commonly used in data science (e.g., Python, SQL, Java, C++, R, SAS, and/or Scala)
• Ability to choose the right coding language to implement the solution to answer the business' questions.
• Expertise in data science, statistical analysis, and machine learning model development.
• Ability to independently scope, and execute new statistical steps with support/approval from senior contacts.
• Experience preparing and processing data for analysis, including novel data steps.
• Strong communication skills, with the ability to present complex findings clearly to diverse audiences.
• Self‑motivated, organized, and able to work effectively both independently and in a team environment.
• Demonstrated ability to mentor and support junior colleagues.
• Willingness to travel occasionally, as needed.
• Bachelor’s degree in a relevant field (advanced degree preferred).

• Health Benefits:
  
  Comprehensive, multi‑carrier program for medical, dental and vision benefits
• Retirement Benefits: 401(k) with match and an Employee Share Purchase Plan
• Wellbeing:
  Wellness platform with incentives, Headspace app subscription, Employee Assistance and Time‑off Programs
• Short‑and‑Long Term Disability, Life and Accidental Death Insurance, Critical Illness, and…