Trainee Data Scientist

5 days ago

Bengaluru Karnataka, India Equifax Full time

**Synopsis of the role**
Join our Data and Analytics team as a Data Scientist, where you'll play a pivotal role in delivering analytical solutions in the areas of Retail Bank Marketing and Risk Analytics for clients in India and the Middle East and help consumers live their finical best.

**What you’ll do**
- 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.
- **What experience you need**
- 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**
- While the above qualifications are essential, certain qualities can make you stand out:

- 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.

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