Applied Data Finance Hiring Drive 2024 For Jr. Data Scientist / Data Scientist

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Applied Data Finance Hiring Drive 2024: Applied Data Finance Hiring Drive 2024 for its Jr. Data Scientist / Data Scientist. Applied Data Finance Drive organizes off-campus drives for candidates in any batch. To apply, candidates should have a bachelor’s degree in Statistics, Mathematics, Economics, Computer Science, or a related field. (Master’s degree preferred)if you are interested, please apply as soon as possible.

Company Name: Applied Data Finance

Role: Jr. Data Scientist / Data Scientist

Location: Hyderabad, Chennai, Bengaluru

Experience: 0 – 3 years

Qualification: Bachelor’s degree in Statistics, Mathematics, Economics, Computer Science, or a related field. (Master’s degree preferred)

Batch: Any

Job Type: Full Time

Salary: 8.3 LPA (Expected)

Applied Data Finance Hiring Drive 2024

Job Description:

  • We are seeking a detail-oriented and analytical individual to join our Collections team as a Jr. Data Scientist/Data Scientist.
  • In this role, you will utilize advanced analytics and AI/ML techniques to drive improvements in our collections processes, minimize delinquencies, and maximize recovery rates.

Requirements:

  • Bachelors degree in Statistics, Mathematics, Economics, Computer Science, or a related field. (Masters degree preferred)
  • 0-3 years of experience in analytics, preferably in a collections or financial services environment.
  • Strong proficiency in statistical analysis and predictive modeling techniques.
  • Experience with data manipulation and querying languages (e.g., SQL) and statistical software (e.g., Python, R). Knowledge of AI/ML development and deployment
  • Excellent problem-solving skills and attention to detail.
  • Ability to analyze and work on unstructured/text data will be an added advantage.
  • Strong communication and interpersonal skills with the ability to collaborate across teams.

Responsibility:

  • Analyze historical collections data to identify trends, patterns, and potential risks.
  • Develop, implement and track predictive models and segmentation strategies to optimize collections efforts.
  • Monitor key performance indicators (KPIs) such as delinquency rates, recovery rates, and customer satisfaction metrics.
  • Conduct root cause analysis on collections issues and work on actionable recommendations.
  • Stay updated with industry trends and best practices in collections analytics.
  • Thorough understanding of internal systems, tools and processes to propose relevant solutions
  • Evaluate third-party data for applications in collections strategies
  • Additional Responsibilities:Collaborate and work with cross-functional teams including Product and IT teams to integrate analytics solutions into collections workflows.
  • Prepare and present regular reports and insights to senior management and stakeholders.
  • Mentor and upskill junior resources in the team

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