Principal Data Scientist - BFSI

- Develop futuristic ideas and drive implementation of mathematical/ AI models/ algorithms/ solutions to bring those ideas to life.

- Specific experience in AI areas like deep learning, genetic algorithms will be an advantage.

- Manage and guide data science and data engineering elements of AI projects

- Set a strategic direction for data identification, collection and qualification activities

- Lead data analysis for multiple projects with diverse scope and complex business and technical challenges across several business units and functions

- Develop best practices for data science, considering the full analytical lifecycle

- Develop guidelines for the evaluation of new analytical tools and platforms

Technical / Behavioural:

- The candidate should possess extensive knowledge of and experience in applying statistics, data mining, machine learning and deep learning techniques in a professional context

- Candidate should be expert in handling various data types and structures: structured, unstructured, voice, image and video data, static versus streaming data. Extensive prior experience in integrating data, profiling, validating and cleansing data in Big Data platforms is a must.

- Should have extensive experience with relational, NO-SQL and Graph databases.

- High level of proficiency in statistical tools, programming environments like Python, Big Data platforms like Spark and cloud platforms like AWS is a must.

- Must possess good programming languages skill in Python/Java/C/C++

- Exposure to Deep Learning applications and tools like TensorFlow, Theano, Torch, Caffe is preferred.

- Have the ability to discover new opportunities where analytical techniques can be leveraged for solving business problems.

- Relevant experience with organisations known for cutting edge/ best-in-class applications of Advanced Analytics, Predictive Modelling, NLP/NLU, Computer Vision and Artificial Intelligence.

- Master's Degree / PhD in a quantitative field (e.g., Computer Science, Economics, Engineering, Statistics, Mathematics, Finance, Operations Research)

The Skills that are Good To Have for this role:

- Hands-on experience in building machine learning solution using NLP/NLU applications, computer vision intelligence and developing RPA applications

- Exposure to Graph Databases like GraphX, Neo4j and semantic web applications will be preferred

- Candidate will be expected to communicate analytical results and developed solutions in a way that is meaningful for business stakeholders and provides actionable insights.