Equifax is hiring an Software Engineer for the Pune location. Please read the complete information carefully and apply if you are eligible.

Eligibility Criteria :

• Qualification: Bachelor's degree or equivalent experience 

• Experience:   6 months+

• Skills: Java software programming and Cloud technology

Responsibilities:

• Design requirements on small systems or modules of medium systems (large scale) environment and technical documentation.
• Apply basic principles of software engineering and can follow instructions. Provide meaningful feedback on the release process, code review, and design review.
• Easily absorbs and applies new information. Displays a cooperative attitude and shares knowledge.
• Apply modern software development practices (serverless computing, microservices architecture, CI/CD, infrastructure-as-code, etc.). Work across teams to integrate our systems with existing corporate product platforms
• Participate in technology roadmap and architecture discussions to turn business requirements and vision into reality.
• Participate in a tight-knit engineering team employing agile software development practices. Leverage automation within scope of effort

Required Skills:

• Bachelor’s degree or equivalent experience
• 6 months+ experience with  Java software programming experience
• 6 months+ experience with Cloud technology: GCP, AWS, or Azure
• Self-starter that identifies/responds to priority shifts with minimal supervision
• UI development (e.g. HTML, JavaScript, Angular and Bootstrap)
• Experience with backend technologies such as JAVA/J2EE, SpringBoot, SOA and Microservices
• Source code control management systems (e.g. SVN/Git, Github) and build tools like Maven & Gradle.
• Agile environments (e.g. Scrum, XP)
• Relational databases (e.g. SQL Server, MySQL)
• Atlassian tooling (e.g. JIRA, Confluence, and Github)
• Developing with modern JDK (v1.7+)
• Automated Testing: JUnit, Selenium, LoadRunner, SoapUI

Stipend: ₹5 LPA to 10 LPA (Glassdoor)

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Equifax is hiring an Trainee – Data Scientist for the Bangalore location. Please read the complete information carefully and apply if you are eligible.

Eligibility Criteria :

• Qualification: Bachelor's degree 

• Experience:   0 - 2 Years

• Skills: SQL, Python

Responsibilities:

• Developing and implementing statistical models and machine learning algorithms to predict credit risk, customer behavior, and fraud patterns.
• Collaborating with cross-functional teams to understand business requirements and translate them into actionable data insights.
•  Performing exploratory data analysis, feature engineering, and model evaluation.
•  Ensuring data quality and integrity through rigorous data cleaning and validation processes.
•  Staying up-to-date with the latest advancements in data science and applying them to business problems.

Required Skills:

• Statistical and Machine Learning Techniques: Proficiency in statistical modeling, machine learning algorithms (regression, classification, clustering, etc.), and their implementation.
•  Data Manipulation and Analysis: Expertise in SQL, Python (or similar programming languages), and data manipulation tools (Pandas, NumPy) to extract, clean, and analyze large datasets.
•  Problem-solving and Analytical Skills: Ability to break down complex problems, identify patterns, and draw meaningful conclusions from data.
• Communication Skills: Effective communication of technical concepts to both technical and non-technical audiences.

What could set you apart:

• Domain Knowledge: Understanding of the credit industry, risk modeling, and fraud detection is a significant advantage.
•  Passion for Data: A genuine interest in exploring data, uncovering insights, and experimenting with new methodologies.
•  Business Acumen: Ability to connect data insights to business outcomes and propose data-driven solutions.
•  Innovation: A creative mindset to explore new approaches and technologies to solve complex problems.
•  Team Collaboration: Strong interpersonal skills and the ability to work effectively in a collaborative environment.

Stipend: ₹ 4 LPA to 5 LPA (Glassdoor)

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