Data Sciences Intern V Tower 02, Manyata Embassy Business Park India
1 week ago
A few problems we're trying to solve today are:
"How do I predict a noisy outcome like customer buying behavior (or sales)?" "What operational signals tell me if a customer is going to churn in 6 months to a year?"
"What is the financial value of making a customer "happy"?
What exact initiative made a customer happy and by how much?"
"What will happen to my sales if I reduce the queues in my store by 2 people?" "How much additional backroom space do I need, and in which stores, to maintain in-stocks during peak sales season?"
"How can I improve workload forecast for stores to optimize payroll?"
"What factors drive unavailability of products in Stores?"
Come, join a dynamic, high-performing & Inclusive team that advices business on making critical decisions with the use of Advanced Analytics and Data Science.
You will have: ·
3 years of relevant work experience (in Consulting/Analytics domain in the past) · 2 +years of ongoing break from work ·
Very strong Math skills and Quantitative Ability
Prior experience working in algorithms and programming (Primary Skillset - SQL, R/SAS/Python)
Excellent interpersonal skills
Ability to work with large-datasets to glean meaningful insights
Keen to develop business acumen
You will get :
A medium that facilitates transition back in to professional career, and relevant work experience
Opportunity to strengthen technical skills, ramp up on newer tools and technology Gain confidence and ramp up on latest technologies
Get mentorship from Target India leaders
A well-designed exposure to business problems and hands-on experience of problem-solving on those for 36 weeks
Opportunity to witness the 2nd largest Big Box retailer in the US in operations
A high pedigree peer and mentor network to collaborate from top Undergrad and Post Grad colleges in India and US
Steep learning curve and access to Industry-leading learning material
An Industry par monthly Stipend with food & day care re-imbursement along with subsidized transport.
Opportunity to convert internship to a full-time role to reignite your career with one of the leading analytics teams industry-wide
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