Data Science Analyst

About the Role

We are hiring a Data Science Analyst for our Fraud Decision Sciences team. You will develop industry-leading decision science solutions and data products, leveraging analytics to enhance fraud prevention, improve decision accuracy, increase automated decisioning, reduce manual reviews, and drive stronger client outcomes.

• Deliver advanced fraud prevention solutions for global clients across various industries
• Analyze key drivers/behaviors associated with different types of fraud
• Stay abreast of the latest industry fraud trends to solve emerging problems
• Drive modeling innovation: Develop new and enhance existing models using best-in-class machine learning/AI techniques (Gradient Boosting, Deep Learning, Unsupervised Techniques)
• Elevate Data Science capabilities through advanced feature engineering from global client data to improve risk discrimination and economics
• Collaborate with colleagues globally to implement models that optimize decisions and drive revenue growth

Critical Success Factors

• Business Outcomes: Drive Revenue growth through advanced analytics, innovating in modeling techniques and variable creation.
• Leadership Outcomes: Adopt an enterprise-first mindset. Connect your work to company priorities while balancing customer needs and team collaboration.
• Innovation: Lead with an external perspective; challenge the status quo and bring continuous innovation to our offerings.
• Team Building: Nurture ML/AI skills, data expertise, and consulting capabilities within your team.
• Learning Agility: Make decisions quickly with integrity in a fast-paced environment.

Requirements

• Experience: 1-3 years in Analytics/Modelling/Decision Science domain (Entry to Mid-level)
• Education: Postgraduate degree in Statistics, Mathematics, Economics, Engineering, or Management.
• Tech Stack: Proficiency in R, Python, PySpark, SAS, SQL; Advanced Excel and PowerPoint.
• Skills: Strong quantitative skills with demonstrated ability to lead analysis. Ability to connect seemingly unstructured data attributes. Excellent communication (Frequently, Candidly, Clearly). High attention to detail for managing multiple projects under tight deadlines.

Location & Work Model

This is a hybrid role. The office location is Tower 1, Floor 2, International Tech Park, Sector 59, Gurugram, Haryana 122002. You will work on-site with the Accertify Gurgaon campus team while enjoying flexible working arrangements.