Data science and Analytics Intern

Role: Internship 

Department: Technology 

Designation: Data Science and Analytics Intern 

Experience: 0-1 Years 

Location: Bangalore 

Job Role: 

The Data Science & Analytics Intern program is for students/professionals that have completed at least one year of their Bachelor’s, Master’s, or Ph.D. program, and are looking for an internship. This will provide an opportunity to apply your data science and engineering skills to solve real business problems. Opportunities exist across varied functional areas such as retail, FMCG, IT, Customer & Product Support, Sales & Marketing, etc. 
 
What will you do? 
support key analytics projects 
Integrate large and diverse data sets 
Learn and apply appropriate data science techniques to solve business problems 
 
Do you have what it takes? 
Pursuing a Bachelor’s, Master’s, or Ph.D. Degree in Data Science, Analytics, Statistics, Mathematics, Computer Science, Engineering, or related quantitative discipline 
Desired cumulative GPA of 3.0 on a 4.0 scale 
Knowledge of applied statistical analysis, modeling techniques, and data visualization methods 
Ability to demonstrate algorithm development and predictive modeling to solve problems 
Proficiency in programming languages SQL, R, Python, Power Bi , Tableau, and/or SAS 

About Us: 

Convergytics as a company believe in the creation of analytics or business solutions while keeping a focused view on how the solution will be consumed across business processes and having a framework for measuring the impact to correct future actions. We also believe that a single source of data e.g., Point of Sales data is not the complete truth about a customer. We need to fuse data from multiple data sources to understand a customer completely. At Convergytics we have frameworks to fuse multiple data sources like POS, Web browsing data, promotion data, social media data, and more at each stage of Creation, Consumption, and Correction, which helps to understand the customer better and drives sustainable decision making.