You will work with software developers and solutions designers to deliver analytics-driven solutions. To dive into the details you will:

• Translate client’s business requirements into a set of analytical models
• Perform data analysis (with a representative sample data slice) and build/prototype the model(s)
• Work with the client’s business users and/or data scientists to define and close on the model design
• Provide inputs to the development team on input data required by the model, size, format, associations, and cleansing required
• Identify/Provide approach and data to validate the model(s)
• Tune the model(s) to improve results provided over time
• Understand the business challenges and goals of a client to formulate the approach for data analysis and model creation that will support their business decision making
• Do hands-on data analysis and model creation and proactively mentor other team members
• Have the opportunity to work in several different domains in a variety of different client environments
• Continually learn, mentor and develop your career
• Apply a lean learning approach to analytics that leads to building the right solution

Working during the day and reading by night. Must reads for this programme :

• Pragmatic Programmer, by Andy Hunt and Dave Thomas
• Passionate Programmer, by Chad Fowler
• Code Complete 2, by Steve McConnell

• The Goal, by Eliyahu M. Goldratt
• Eat that Frog, by Brian Tracy
• The Lean Startup, by Eric Ries

• Have a passion for understanding business problems and trying to address them by leveraging data
• Ability to select the appropriate analytical techniques based on the characteristics of a problem.
• Ability to design effective experiments in business and social environments.
• Understand how to harvest complex data from a variety of sources.
• Familiar with statistics for data visualization and analysis
• Ability to write efficient SQL queries
• Familiarity with data warehousing and data visualization
• Ability to communicate complex models and analysis in a clear and precise manner
• Familiarity with at least one scripting language
• Natural language processing experience is a plus

Fresher with graduation degree (BSc Statistics, BTech, BCA would be a plus)

The internship stipend of 17.5k/month (with no deductions other than the mandatory TDS, PF contribution, and applicable income tax)