🏢 About Epsilon
Epsilon is a leading organization in the technology and services industry, committed to driving innovation and digital transformation. They provide a dynamic and supportive environment for early-career professionals to learn, collaborate, and build solutions at scale. Freshers at Epsilon are integrated into production teams with structured onboarding and mentorship.
Job Details & Requirements
Job Description
About the job
Powerful predictors of the future, our Analytics team blends data science and business intelligence to enable extra foresight for our platform offerings. They connect insights to results for our clients by working closely with senior stakeholders, staying in tune with market trends, with the power of our big data assets. By leveraging new age analytic tools and emerging technologies, the team nurtures a perfect learning environment for enthusiastic individuals to grow and succeed.
At Epsilon, our people use real human insights to find solutions that empower some of the biggest brands in the world. Our team is now growing, and we are on the lookout for talented individuals who use descriptive, predictive and prescriptive analytics to impact consumer behavior every day.
🎯 What Success Looks Like in This Role
Work with business stakeholders and experienced colleagues to design and develop analytics solutions that drive Epsilon forward.
Apply strong problem-solving skills to analyze data and uncover actionable insights.
Learn and work with multiple enterprise data systems like Databricks, Greenplum, Vector Datastores like FAISS, ChromaDB etc.
Build scalable analytical solutions to process and analyze internet-scale data with Python and SQL.
Proactively communicate with supervisor regarding workload and the status of assignments.
Perform hands-on analysis on large volumes of customer’s first-party data and Epsilon’s third-party data to provide quality, statistically valid analysis and related output.
Demonstrate proficient problem solving and data analysis, derived from modelling and statistical experience.
Take a proactive, independent role in analysis design, project planning and execution.
Design and Implement Machine learning models using DataBricks and Python/Pyspark.
QC data and results produced by junior and data scientists in the team.
Create engaging and meaningful data visualizations / power point presentations of findings linked to clear client business impact.
Present statistical results to both technical and non-technical audience in a clear manner.
Become proficient with Epsilon data assets.
Be an active learner - learn new and state of the art tools, technologies, algorithms and methodologies to be at the edge of data science learnings.
Collaborate well with cross-functional internal teams as needed to drive results.
📋 Requirements & Qualifications
0-1 years of experience
Bachelor’s or Master’s degree in Engineering or quantitative discipline (e.g., Statistics, Economics, Mathematics.
Strong aptitude in quants and logical reasoning
Strong analytic thought process and curious learner
Highly motivated and collaborative team player with strong interpersonal skills
Curiosity to learn one or more of data analysis tools like SAS, SQL, Python, R, Google Analytics, Adobe Analytics, MS Office
Complete preparation guide for Associate Data Scientist
Epsilon is hiring for Associate Data Scientist (Full-time) in Bengaluru, India, targeting candidates from the 2025, 2026 batch with 0-1 Years experience. The listed compensation is 5 - 14 LPA. Key skills mentioned in the listing include Python, SQL, DataBricks, Pyspark. This page goes beyond the raw listing so students can understand what Epsilon usually expects for this role, how to prepare for their screening process, and how to apply more thoughtfully instead of forwarding a generic resume.
CampusToCareer Candidate Guide
⭐ Original Analysis✓ Suitable For
- ✓ Business graduates
- ✓ Engineering students
- ✓ Students interested in consulting or analytics
✗ Not Ideal If
- ✗ Looking strictly for software development/coding roles
- ✗ Uncomfortable with stakeholder presentations
