AI Scientist III

Risk & Solutions Group Ltda

LexisNexis Risk Solutions spearheads solutions that combat fraud, crime, and abuse while facilitating seamless digital governance. This role invites you to contribute to a team dedicated to meaningful problem-solving across civilian services and public safety sectors. The position offers a unique chance to leverage machine learning and AI for societal benefit, making a tangible impact.

In this role you can expect to have the responsibilities:

• Independently lead small projects and assist with larger ones guided by senior Data Scientists.
• Oversee the full analytical lifecycle from design to validation, particularly for ML models and AI features.
• Extract, clean, and analyze large datasets for research and model development.
• Help develop crime data vectorization and clustering strategies for generative AI features.
• Effectively communicate findings to both technical and non-technical audiences.
• Collaborate cross-functionally with analysts, product managers, and technologists.

This role comes with the following benefits:

• Mentoring scheme for women in technology.
• Women's network forum for career support in technology.
• Inclusive culture with 30 global diversity networks.

This role requires you to have:

• Undergraduate degree in Data Science, Mathematics, or Statistics with 2+ years experience, or a Master's degree.
• Proficient in Python, SQL, Pandas, NumPy, and Jupyter.
• Experience with Machine Learning frameworks, Generative AI, and GPT.
• Strong analytical thinking and detail orientation.
• Excellent documentation and communication skills.
• Ability to manage multiple concurrent activities.

You would benefit from having:

• Strong interpersonal skills for effective interfacing across various levels.
• Self-starter with a willingness to learn.

This position requires compliance with CJIS security policy for access to criminal justice information, including background checks. LexisNexis Risk Solutions champions diversity and is an equal opportunity employer, supporting a hiring process fair to all.