Data Scientist (Anti-spoofing ML) PhD Intern

About GeoComply
We’re GeoComply! We are at the forefront of geolocation, cybersecurity, and anti-fraud innovation, developing and delivering cutting-edge technologies to help ensure regulatory compliance, combat bad online actors, alleviate user friction, and protect businesses from fraud.
Achieving significant business and revenue growth over the past three years and dubbed a tech “Unicorn,” GeoComply has been trusted by leading global brands and regulators for over ten years. Our compliance-grade geolocation technology solutions are installed on over 400 million devices and analyze over 12 billion transactions a year.
At the heart of it all is the people, united by a deep commitment to problem-solving and revolutionizing how people and businesses use the internet to instill confidence in every online interaction. With teams across five countries, three continents, and a global customer base, we have no plans to slow down.
The RoleOur internship program allows early talent to get diverse and valuable experience, make a real impact, and find their place in one of the fastest-growing industries. As a Data Scientist Intern, you’ll be constantly challenged and excited about the next big thing.

Key Responsibilities

• Develop and implement advanced machine learning models to detect location spoofing patterns within large datasets.
• Conduct rigorous statistical analysis to identify anomalies and trends indicative of fraudulent activity.
• Design and execute experiments to evaluate the effectiveness of different ML/AI algorithms.
• Collaborate Cross-Functionally: Work closely with engineer managers, data engineers, and other stakeholders to refine requirements, integrate the model into the ML platform, and make a measurable impact.
• Present findings and recommendations to the team through clear, concise reports and presentations.
• Other Tasks as Assigned: Flexibility is key in a dynamic environment; you’ll help on various projects and initiatives as needed.

Who You Are

• Educated: Currently pursuing or recently graduated with a PhD (or Master’s to PhD track) in Computer Science, Statistics, Mathematics, or a related quantitative field of study.
• Communicative: Whether written or verbal, people know what you mean, what you are asking for, and what is expected.
• Analytical: You have an eye for detail and have the ability to interpret data into simple, intuitive information.
• Detail-oriented: You have a keen eye for the little things and are comfortable working with granular details.
• Organized: You have excellent organization, prioritization, and time management skills.
• Discrete: You maintain high integrity and confidentiality of sensitive, complex information.
• Patient: You are comfortable working through new problems for the first time that may not have an obvious or precise answer.
• Discrete: You maintain high integrity and confidentiality of sensitive, complex information.
• Personable: Your great attitude makes you approachable and engaging, and you demonstrate excellent customer service.
• Insightful: You can observe information and produce high-quality insights.
• Independent: You’re capable of assessing issues and initiating actions without waiting.
• Initiative: You can independently assess issues and take action.
• Quality-driven: You strive to achieve for the top in everything you do
• Respectful: you recognize that we do our best work when everyone feels accepted and included.
• Collaborative: your primary objective is to work with others to achieve common goals.
• Proficient: You have knowledge of or experience with Python (especially libraries like scikit-learn, pandas, and numpy), SQL, PySpark, machine learning algorithms, and statistical modeling.

Bonus Points

• Publications or research experience in fraud detection or anomaly detection.
• Experience working in fraud detection.

To check out our amazing benefits and learn more about the internship program, please visit: https://www.geocomply.com/careers/internship/

Apply Now!
Interested in joining our team? Send us your resume and a cover letter. We can’t wait to meet you!
Commitment to Diversity and Equity.If you don't tick every box in this job description, please don't rule yourself out. Research suggests that women and other people in underrepresented groups tend to only apply if they meet every requirement. We focus on hiring people who value inclusion, collaboration, adaptability, courage, and integrity rather than ticking boxes, so if