Risk Analyst – Data Science & Analytics

Added
2 days ago
Type
Full time
Salary
Salary not provided

Related skills

analytics sql python machine learning data science

📋 Description

  • Analyze large and complex datasets to uncover insights, identify opportunities, and support the
  • Transform business challenges and product ideas into data-driven solutions through exploratory
  • Develop, validate, and benchmark predictive models, scores, segmentations, and decision-support
  • Build scalable and reusable analytical assets using Python and SQL, including automated workflows
  • Collaborate with Product, Technology, and business teams to define requirements, support UAT
  • Communicate analytical insights and methodologies clearly through robust documentation while

🎯 Requirements

  • 3+ years of experience in Data Science, Analytics, Decision Science, Statistical Modelling, or a
  • Strong hands-on expertise in Python and SQL, with experience working on large datasets for data
  • Solid foundation in statistics, machine learning, and model development, including regression
  • Proven ability to transform business questions into structured analytical solutions, communicate
  • Strong focus on data quality, analytical rigor, reproducible coding, documentation, testing, and
  • Experience with modern analytics ecosystems such as Git, SAS, Spark, Databricks, cloud platforms

🎁 Benefits

  • Great compensation package and discretionary bonus plan
  • Core benefits include pension, health Insurance and term life Insurance, Sharesave scheme and more!
  • 25 days annual leave with 13 bank holidays and 3 volunteering days. You can also purchase
  • You will report to Senior Analytics Consultant
  • Role Location: Mumbai
  • Experian is an equal opportunities employer
Get alerts for new remote data jobs
A weekly email with new matches. Unsubscribe anytime.
Share job

Meet JobCopilot: Your Personal AI Job Hunter

Automatically Apply to Data Jobs. Just set your preferences and Job Copilot will do the rest — finding, filtering, and applying while you focus on what matters.

Related Data Jobs

See more Data jobs →