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Equifax Off-Campus Hiring Freshers | Trainee Data Scientist | Bangalore | Apply Now

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Equifax Off-Campus Hiring:- Equifax is hiring fresh candidates for the role of Trainee Data Scientist at Bangalore office. Check Below Details & Eligible Candidates can apply for this position. The detailed eligibility and application process are given below.

About Equifax

At Equifax (NYSE: EFX), we believe knowledge drives progress. As a global data, analytics, and technology company, we play an essential role in the global economy by helping financial institutions, companies, employers, and government agencies make critical decisions with greater confidence. Our unique blend of differentiated data, analytics, and cloud technology drives insights to power decisions to move people forward.

Headquartered in Atlanta and supported by nearly 15,000 employees worldwide, Equifax operates or has investments in 24 countries in North America, Central and South America, Europe, and the Asia Pacific region.

CompanyEquifax
WebsiteClick Here
Job RoleTrainee Data Scientist
Job TypeFull-Time
ExperienceFreshers
Salary6-10 LPA
LocationBangalore, India

Equifax is where you can power your possible. If you want to achieve your true potential, chart new paths, develop new skills, collaborate with bright minds, and make a meaningful impact, we want to hear from you.

About 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.

Equifax Off-Campus Hiring Job Details

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..

Equifax Off-Campus Hiring Experience Needed

  • 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. 

Equifax Off-Campus Hiring Additional Details

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.

We offer a hybrid work setting, comprehensive compensation and healthcare packages, attractive paid time off, and organizational growth potential through our online learning platform with guided career tracks.

How to Apply?

  1. Click on the below link before it expires.
  2. Read all the instructions carefully.
  3. Fill out the form and apply.
Apply LinkClick Here
WebsiteClick Here
Video LinkClick Here
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