Assistant Manager/Manager - Data Science/Data Scientist - BFSI/KPO

Assistant Manager /Manager - Data Science /Data Scientist

The Purpose of This Role :

- This role involves working with senior stakeholders in understanding and identifying the business requirements and needs in the areas of Big Data Analytics and Artificial Intelligence.

- Scanning the fast paced external and internal environments in these areas, developing futuristic ideas that would benefit the firm and leading 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.

- Individual in this role is expected to work with multiple stakeholders and teams, have excellent knowledge and experience of recent developments and work in a self-directed manner in ambiguously defined need areas.

The Value You Deliver :

- 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

The Skills that are Key to this role :

Technical / Behavioral :

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