GeoComply ★ 4.1

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.

As a Data Science Intern at GeoComply, you will gain hands-on experience building machine learning solutions for real-world fraud detection and geolocation verification challenges. Working closely with our data science and analytics teams, you will contribute to model development, data analysis, and research projects that directly impact millions of users. This internship offers an exceptional opportunity to learn from experienced practitioners, work with cutting-edge technologies, and develop practical skills in a fast-paced, high-impact environment.

What You'll Do

• Support ML Model Development: Assist in building, testing, and validating machine learning models for fraud detection and anomaly detection under guidance from senior data scientists.
• Conduct Data Analysis & Exploration: Perform exploratory data analysis to identify patterns, trends, and insights in large-scale transaction datasets.
• Feature Engineering & Data Preparation: Help develop features, clean and preprocess data, and prepare datasets for model training and evaluation.
• Model Evaluation & Testing: Run experiments, evaluate model performance using standard metrics, and document findings clearly.
• Research & Learning: Investigate new fraud patterns, research ML techniques, and stay current with industry best practices in fraud detection and data science.
• Collaborate & Learn: Work closely with data analysts, data scientists, and engineers; participate in code reviews and team meetings to develop professional skills.
• Documentation: Maintain clear documentation of analysis methods, code, and results to support knowledge sharing.
  
  
  

What You'll Bring

• Education
• Currently pursuing or recently completed a Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Data Science, Machine Learning, or related quantitative field.
• Strong academic record with relevant coursework in machine learning, statistics, or data analysis.
  
  
  

Technical Skills

• Solid programming skills in Python with familiarity with data manipulation libraries (Pandas, NumPy).
• Basic understanding of machine learning concepts and algorithms (classification, regression, clustering).
• Working knowledge of SQL for data extraction and basic queries.
• Familiarity with data visualization tools (Matplotlib, Seaborn, or similar).
• Basic understanding of statistical concepts and experimental methods.
• Experience with Jupyter notebooks or similar development environments.
• Familiarity with version control (Git) is a plus.
  
  
  

Personal Attributes

• Strong curiosity and eagerness to learn new technologies and techniques.
• Good problem-solving skills with attention to detail.
• Ability to work independently and ask thoughtful questions when guidance is needed.
• Good communication skills with ability to explain technical concepts clearly.
• Self-motivated with ability to manage time and priorities effectively.
  
  
  

Bonus Points For:

• Previous internship or work experience in data science, analytics, or software development.
• Hands-on experience with machine learning projects (coursework, personal projects, competitions like Kaggle).
• Familiarity with Scikit-learn, XGBoost, or other ML libraries.
• Understanding of fraud detection, cybersecurity, or risk management concepts.
• Experience with cloud platforms (AWS, Azure, GCP) or big data tools (Spark, Databricks).
• Familiarity with Large Language Models (LLMs) and AI-powered analytical tools; experience with Claude Code or similar AI-assisted development environments.
• Contributions to open-source projects or data science communities.
• Proficiency with terminal commands and basic Linux/Unix environments.
  
  
  

What You'll Gain:

• Real-World Experience: Work on production ML systems protecting millions of users from fraud
• Mentorship: Learn directly from experienced data scientists and analysts in a supportive environment
• Cutting-Edge Tech: Gain exposure to geolocation, fraud detection, and ML at massive scale
• Professional Growth: Develop practical skills in ML engineering, data analysis, and cross-functional collaboration
• Career Pathway: Strong performers may receive full-time offers upon graduation
• Hybrid working mode & Modern office at a prime location in District 1
• Competitive internship compensation
• Premium health insurance coverage
• In-office snacks and drinks (snacks, coffee, juice, milk, etc.)
• International working environment
• Opportunity to work on high-impact projects
• Internship Duration: 4 months / Strong performers will be offered full-time positions
  
  
  

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 this resonates with you, please apply.

Search Firm Representatives Please Read Carefully

We do not accept unsolicited assistance from search firms for employment opportunities. All CVs or resumes submitted by search firms to any employee at our company without a valid written agreement in place for this position will be considered the sole property of our company. No fee will be paid if a candidate is hired by GeoComply due to an agency referral where no existing agreement exists with the GeoComply Talent Acquisition Team. Where agency agreements are in place, introductions must be through engagement by the GeoComply Talent Acquisition Team.

Why GeoComply?

Joining the GeoComply team means you’ll be part of an award-winning company to work, learn and grow. We are fast-paced, high-impact, and have a can-do team culture.

To be successful in our organization, you need an eager attitude, professionalism, and the confidence to willingly work to prove yourself and your ideas, and earn the trust of the organization.

Here’s why we think you’d love working with us.

We’re working towards something big

We’ve built a reputation as the global market leader for geolocation compliance solutions for over 10 years. We’re trusted by customers from all over the world, and the next few years will be particularly exciting as we continue to scale across new markets.

Our values aren’t just a buzzword

Our values are the foundation for what we as a company care about most. They signify the commitment we make to each other around how we act and what we stand for. They are our north star as we work together to build a company we’re all proud to be a part of. Learn more, here .

Diversity, equity, and inclusion are at the core of who we are

In collaboration with our team and external partners, we promote DEI in our recruitment and hiring practices; scholarships and financial aid; training and mentorship programs; employee benefits, and more.

Learning Is At The Heart Of Our Employee Experience

At GeoComply, we foster an environment that empowers every employee to gain the knowledge and abilities needed to perform at their very best and help our organization grow. From a professional development budget to local training opportunities, knowledge-sharing sessions and more, we are continually investing in employee career growth and development.

We believe in being a force for good

We profoundly care about our impact on the world and strive to make meaningful contributions to the communities we work and live in. Our Impact division focuses on philanthropic and social responsibility initiatives, including supporting our local communities, advancing equality, and harnessing our technology to protect vulnerable groups. Learn more, here .

We Care About Our Team

Our GeoComply team is talented, driven and hard-working, and is known for its positive attitude and energy. At GeoComply, we take care of our employees with the total package. Team members are generously rewarded with competitive salaries, incentives, and a comprehensive benefits program.

We value in-person collaboration

GeoComply culture thrives on a dynamic mix of in-person energy and independent focus and we champion a hybrid work model that blends the energy of in-person collaboration with the flexibility to work from home. Our 3-day in-office policy fosters teamwork and innovation, while also recognizing the importance of individual work styles and needs.

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At GeoComply, we live our value of Act with Integrity. Our workplace is built on mutual respect and inclusion, and we welcome applicants of all backgrounds, experiences, beliefs, and identities. Creating an accessible interview experience for all candidates is important to us. If you have any requests (big or small) throughout our hiring process, please don’t hesitate to let us know so we can do our best to prioritize your needs.

We care about your privacy and want you to be informed about your rights. Please read our Applicant Privacy Notice before applying for the position.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information please see the Applicant Privacy Statement or feel free to contact us directly.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.