8 Asset Reconstruction Company (India) Jobs
2-5 years
New Delhi
Data Scientist - Artificial Intelligence/Machine Learning (2-5 yrs)
Asset Reconstruction Company (India)
posted 1mon ago
Flexible timing
Key skills for the job
Location- Saket, Delhi
Role: Data Scientist
We are looking for an experienced Data Scientist to join our Data Science team, who will work on developing behavior modelling & customer segmentation solutions. As a Data Scientist, the candidate is expected to break down the business problems to appropriate AI ML problem and develop practical, easy to implement solutions that enhance business value.
This role offers a challenging and exciting opportunity to be a part of industry-disrupting solutions and do cutting-edge work in data science.
Responsibilities :
- Developing data, AI, ML, DL solutions to model customer behavior to help make key business decisions via customer segmentation, targeting & prioritizations and customer behavioral analytics.
- Develop Behavioral Models: Design and develop predictive models and algorithms to understand and predict customer behavior, segmentation, profiles.
- Utilize advanced statistical techniques and machine learning methods to build accurate customer targeting & prioritization models.
- Analyze huge volumes of historical & current customer behavioral data to make predictions and customer prioritizations.
Education, Experience & Skillset :
- Degree in Statistics, Mathematics & Computing, Engineering or another quantitative-focused field
- Minimum 2+ years experience in data science, machine learning & deep learning
- Experience in AI/ML algorithms - Regression, Classification, Clustering, Tree-based models, Segmentations, Dimensionality Reduction, Neural Networks (LSTM, RNN etc.)
- Experience in Python, Machine Learning libraries (sklearn, statsmodel, NumPy, pandas, seaborn, matplotlib) or Deep Learning Libraries (Keras, TensorFlow, PyTorch)
- Analytical toolset including an advanced understanding of statistics including time series analysis, cluster analysis, multivariate analysis.
- Understanding of financial domain
- Good to have: Prior experience in marketing mix modelling, customer analytics, affinity analysis, market segmentations
- Good to have: Masters in Data Science and AI
Behavioral Competencies :
- Willingness to learn, self-motivated, self-driven.
- Ownership and team-sprit
- A quick learner with analytical rigor, curiosity, open-mindedness, and creativity.
- Excellent communication skills to convey ideas and information clearly and accurately to others.
About IARC :
- International Asset Reconstruction Company (IARC) is a pioneer in the field of distressed debt resolution and is one of the earliest ARCs (Asset Reconstruction Companies) in India.
- With its strong franchise in distressed debt resolution, the company has established itself as one of the leading players in the industry.
- What sets IARC apart from other ARCs in India is its deep capability for managing retail portfolios.
- Overall, IARC is a company that is driven by excellence and is committed to providing its employees with the best working environment and growth opportunities.
- With its deep expertise in managing distressed debt and retail portfolios, the company is well positioned to continue to grow and succeed in the years to come.
Other Information :
- We are an equal opportunity workplace and are an affirmative action employer.
- We are always committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status and we do not discriminate on the basis of such characteristics, or any other status protected by the laws or regulations in the locations where we work.
- This job descriptionhas been designed to indicate the general nature and level ofwork performed by employeeswithin this classification.
- Itis notdesigned to contain or be interpreted asa comprehensive inventory of all duties, responsibilities, and qualifications required of employees assigned to this job
Functional Areas: Other
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