Data Scientist Fraud Specialist

Location: Bengaluru, Karnataka

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Role: Data Scientist – Fraud Modeling

Location: Gurgaon / Bengaluru

About the Role: The primary focus will be to propose innovative ways to utilize online payments data and analytics to solve business problems by applying data mining techniques, doing statistical analysis, validating your findings using an experimental and iterative approach, and building high-quality prediction systems integrated with our services.

About the team: The data sciences team is the PayU intelligence team who will be primarily responsible for modelling complex problems, discovering insights, and identifying opportunities through the use of statistical, algorithmic, mining, and visualization techniques.

Excited yet? Continue reading to find out more about the role:

What you’ll be doing:

  • Design experiments, test hypotheses, and build models utilizing the traditional datasets and graph data
  • Apply advanced statistical and predictive modeling techniques to build, maintain, and improve on multiple real-time decision systems
  • Identify what data is available and relevant, including internal and external data sources, leveraging new data collection processes such as geo-location or social media
  • Utilize patterns and variations in the volume, speed and other characteristics of data for predictive analysis
  • Extending company’s data with third party sources of information when needed
  • Creating automated anomaly detection systems and constant tracking of its performance
  • Collaborate with various stakeholders (e.g. tech, product) to understand and design best solutions which can be implemented

What are we looking for?

  • Bachelors in engineering, mathematics, statistics , economics or a related field
  • 2+ years of work experience as a Data scientist preferably in a fintech environment
  • 1+ years of work experience on fraud modelling
  • Proficiency in statistical analysis, quantitative analytics, forecasting/predictive analytics, multivariate testing, and optimization algorithms
  • Proficient in machine learning (SVM, GLM, boosting, random forest) and deep neural networks
  • Strong programming skills (Spark or other big data frameworks, R, Python), statistical modeling (R, Python, SAS), query languages such as SQL
  • Familiarity with basic principles of distributed computing and distributed databases.
  • Strong problem solving skills to understand and execute complex analysis
  • Familiarity with the best practices of Data Science
  • Experience in working with big data preferably in PySpark
  • Passion for building new tools/algorithms

What we offer

  • A positive, get-things-done workplace
  • A dynamic, constantly evolving space (change is par for the course – important you are comfortable with this)
  • An inclusive environment that ensures we listen to a diverse range of voices when making decisions.
  • Ability to learn cutting edge concepts and innovation in an agile start-up environment with a global scale
  • Access to 5000+ training courses accessible anytime/anywhere to support your growth and development (Corporate with top learning partners like Harvard, Coursera, Udacity)

About us:

At PayU, we are a global fintech investor and our vision is to build a world without financial borders where everyone can prosper. We give people in high growth markets the financial services and products they need to thrive. Our expertise in 18+ high-growth markets enables us to extend the reach of financial services. This drives everything we do, from investing in technology entrepreneurs to offering credit to underserved individuals, to helping merchants buy, sell, and operate online. Being part of Prosus, one of the largest technology investors in the world, gives us the presence and expertise to make a real impact. Find out more at

Our Commitment to Building A Diverse and Inclusive Workforce

As a global and multi-cultural organization with varied ethnicities thriving across locations, we realize that our responsibility towards fulfilling the D&I commitment is huge. Therefore, we continuously strive to create a diverse, inclusive, and safe environment, for all our people, communities, and customers. Our leaders are committed to create an inclusive work culture which enables transparency, flexibility, and unbiased attention to every PayUneer so they can succeed, irrespective of gender, color, or personal faith. An environment where every person feels they belong, that they are listened to, and where they are empowered to speak up. At PayU we have zero tolerance towards any form of prejudice whether a specific race, ethnicity, or of persons with disabilities, or the LGBTQ communities.

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