Job Location: Bengaluru
About Credit Saison;
Finance India Private Limited as an MNC subsidiary of its parent company – Credit SaisonCo. Ltd in Japan. Across our various business verticals like Wholesale Financing, Co-origination Financing, Consumer Financing, and SME Financing we look towards reaching resilient Assets Under Management (“AUM”) of US1bn in record time.
More about us on https://www.creditsaison.in
Come join us and be a part of a unique and culturally modern fintech NBFC that is bound for greater success.
Roles & Responsibilities:
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Work with stakeholders throughout the organisation to identify opportunities for leveraging internal/external data to drive business solutions.
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Develop a DS use case roadmap for a problem area or capability for the business.
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Work as the data strategist, identifying and integrating new datasets that can be leveraged through our product capabilities and work closely with the engineering team to strategize and execute the development of data products.
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Enhance data collection procedures. Processing, cleansing, and verifying the integrity of data used for analysis.
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Run data exploration to understand relationships and patterns within the data, develop data visualisation to represent the relationships identified from data exploration.
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Refine and deepen understanding of the algorithmic and inferential aspects of statistical analysis. Evaluate new deep learning algorithms from latest research and develop intuition about the problems for which they are likely to improve the state of the practice.
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Build training pipelines for the production environment. Develop and execute on a plan for continuous iteration and refinement of a new model.
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Provide inputs for design, quality assurance parameters and support implementation for the model in an online environment.
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Provide inputs and determine infra requirements and infra management for model deployment.
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Lead debugging of data pipelines and model behaviour in production environment.Develop dashboards to enable easy tracking and communication of model impact.
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As a core member of the DS team, you will research, prototype, develop, deploy and scale innovative NLP/Image Processing/Machine Learning solutions in collaboration with other NLP Scientists, Data Engineers, and Architect(s).
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You will deploy a variety of Text Analytics and Image processing models on large-scale datasets to address various business problems leveraging advanced NLP, machine learning, or deep learning techniques.
Required skills & Qualifications:
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We’re looking for someone with 2-6 years of experience manipulating data sets and building deep learning models, with a Bachelor’s/Master’s/PhD degree in Statistics, Mathematics, Computer Science or another quantitative field, from any of the top-tier colleges.
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Strong problem solving skills with an emphasis on product development.
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Excellent written and verbal communication skills for coordinating across teams.
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Good applied statistics skills such as distributions, statistical testing, regression.
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Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, artificial neural networks and their real-world advantages or drawbacks. Knowledge of deep learning techniques is a plus.
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Experience with common data science toolkits such as Python, SQL, R, NumPy, MatLab, Pandas, Scikit-learn, TensorFlow, Keras etc.
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Experience with NoSQL databases such as MongoDB, Cassandra, HBase is desired.
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Experience with distributed data/computing tools like Map/Reduce, Hadoop, Hive, Spark is a big plus.
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Familiar with commonly used NLP, machine learning, and deep learning libraries such as Tensofrflow, MXNet, Caffe, PyTorch, Keras, SKLearn, Transformers, SparkNLP, Gensim, SpaCy, NLTK, and so-forth
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Working knowledge of version control (git), and continuous integration/deployment (CI/CD). RESTful APIs and Dockers are a plus.
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Working experience in services offered by cloud technologies (AWS preferable)
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Exposure to SOTA algorithms in computer vision &or Natural language processing like faster RCNN,YOLO, GPT, BERT etc for respective domain tasks e.g. Object detection, tracking, classification, text summarisation etc
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