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EQUIFAX - DATA SCIENTIST
Company: Equifax
Role: Trainee Data Scientist
Experience: 0+ Years
Location: Bangalore
Apply Now: https://lnkd.in/guGvV-7B 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.
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.
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.