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Bank of the future.

Data Scientist

₹4L – ₹8L • No equity
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Payzello – Data Scientist (1 – 3 Years)

#Artificial Intelligence #Data Analytics #Data Modelling #Research #Machine Learning #Statistical Modelling #Data Science #Data Mining #NLP Techniques #Algorithms #StartUp

Who We Are
Payzello is India’s first ever Smart Bank challenging the very definition of Banking in India. With our comprehensive features and services ranging from a single Virtual Card for both Debit and Credit to App based Credit to Money Transfer and Request Mechanism, end to end Expense Management, Bharat QR to three minutes E – KYC Process and much more in a single click(and of course zero paperwork), we are here to ensure you never have to walk into a physical Bank ever again.
And that’s just the tip of the iceberg, we are much more than what meets the eye!

Responsibilities
• Experience in applying different NLP techniques to problems such as sentence summarization, question answering, sentiment analysis, knowledge extraction and conversational bots
• Understand latest industrial and academic developments in AI/ML
• Develop new ideas and apply AI/ML technique to specific product challenges
• Design and Build Solution Sets/Algorithms
• Work with the rest of the team to integrate these algorithms into larger solutions.


Essential Requirements For The Role :

• Expertise in NLP methods such as HMM, MEMM, P/LSA, CRF, LDA, Semantic Hashing, Word2Vec, Seq2Seq, LSTMs RNN, GRUs RNN, Bi-RCNN, BiDAF etc.
• Should have used either spaCy / Nltk / Gensim / CoreNLP
• Exposure to NLU and NLG
• Deep learning programming experience with Tensorflow / Keras or similar library in a GPU environment
• Exposure to relationship extraction for Knowledge Graph
• Development experience in Python or Java with good command over respective data pipelining, matrix algebra and statistics libraries
• Knowledge of linguistics is plus
• Ability to understand business context and integrate AI in the business processes
• Good in communication skills
• Record of academic publishing in related conferences and/or journals is a plus.
• Exposure to BI, visualization tools is plus
• Excellent understanding of Machine Learning Techniques and Algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, Logistic Regression, Neural Networks, Clustering Techniques etc. Familiarity of intricacies in many of these through actual real world implementation experience is a must.
• Applied Statistical Skills such as Distributions, Statistical Testing, Regression etc.
• Scripting and Programming Skills. Aid in effective Integrating Techniques and Solutions developed with the Base Application.
• Prior experience in Credit Modelling Domain and with NoSQL Databases such as MongoDB, Cassandra, HBase would be a plus.
• Ideally, you should have 1+ years of experience in using ML in Industry Environment. Having a Kaggle or Github Profile to share would be awesome!

Purpose
• Perform Data Exploration and build Statistical Models on User Behavior to discover opportunities for decreasing User Defaults. And you must truly be excited about this part.
• Gain insights into Financial Choices using Behavioural and Social Data
• Build Predictive Features from super sparse Data Sources as well as acquire new Data Sources to develop a rich Data Set that characterises Risk.
• Select Features, building and optimise Classifiers using Machine Learning Techniques
• Data mining using state-of-the-art methods
• Perform Ad-hoc Analysis, summarise and present Results to take an informed Decision
• Extend Company’s Data with third party sources of information as and when needed
• Enhance Data Collection Procedures to include relevant information for building Analytic Systems
• Back-test of New Models and work with Engineering Teams to get Systems to Production

Perks
• Lucrative online shopping offers using the very Technology you would be developing
• A not – to – be – missed opportunity to learn and develop with an extremely Lean Team while disrupting the Financial Services world as we know it
• A lifelong membership of the Payzello AI Library full of never ending stock of books, materials, research papers etc. on everything AI along with a bunch of AI Nerds to have passionate arguments with

How to Apply
Send your updated resume to swathanthra.d@iiiconsulting.in along with the following details –
• Current Location
• Preferred Location
• Current Compensation
• Expected Compensation
• Notice Period

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