Algorithms, Azure, Data Mining, Data science techniques, Docker, Machine learning techniques, Natural Language Processing (NLP), Python Programming, Statistical modeling
In a world of disruption and increasingly complex business challenges, our professionals bring truth into focus with the Kroll Lens. Our sharp analytical skills, paired with the latest technology, allow us to give our clients clarity—not just answers—in all areas of business. We embrace diverse backgrounds and global perspectives, and we cultivate diversity by respecting, including, and valuing one another. As part of One team, One Kroll, you’ll contribute to a supportive and collaborative work environment that empowers you to excel.
At Kroll, your work will help deliver clarity to our clients’ most complex governance, risk, and transparency challenges. Apply now to join One team, One Kroll.
Kroll’s Technology organization is transforming. The Enterprise Data Team is leveraging data science, insights, and modeling to build solutions to support our commercial clients. The team is leveraging AI, Machine Learning and NLP to solve complex business problems. Some of our current projects focus on financial services, cyber security and due diligence, and quantitative analysis.
As a part of Kroll’s Enterprise Data team, the Senior Data Scientist will serve as a critical technical lead for key projects ensuring the timely implementation.
RESPONSIBILITIES:
REQUIREMENTS:
Competencies:
To be considered for a position at Kroll, you must formally apply via careers.kroll.jobs
Kroll is committed to equal opportunity and diversity, and recruits people based on merit.
Kroll is a corporate investigations and risk consulting firm headquartered in New York City. Established in 1972, Kroll has nearly 5,000 employees in 30 countries and territories. The current CEO is Shai Waisman.