We are very much a data centric company and we have data (sales/purchase/operation) logs from day 1. Currently, we have large volumes of time series/text data and would like to develop data/ML models such as:

● Sales prediction/forecast

● Customer segmentation & churn prediction

● Product pricing models

● Personalized offer/promotion campaign management models to improve customer retention

● Personalized product recommendations

● Customer feedback analysis

● Inventory control

● Marketing insight models 

Must haves: - Excellent Python coding skills. Knowledge of the following libraries is a must:

- Pandas

- Scikit learn

- Matplotlib

- NLTK or Spacy

- Numpy & scipy

- Basic knowledge of SQL & Tableau (must for only people who work on data visualization projects)

- Strong understanding of Statistics and basic Machine Learning concepts (e.g., regression, classification, cross validation, regularization, bias-variance tradeoff, model metrics)

- Knowledge on CI/CD tools like GitHub/Bitbucket (Geeklurn/IBM platform certificates needed)

- Basic Linux command/shell scripting knowledge (Geeklurn/IBM platform certificates needed)

- Basic cloud infrastructure knowledge and experience in AWS (Geeklurn/IBM platform certificates needed)

- Basic Excel/Google Sheets skills and good documentation skills

Nice to haves:

● Experience in the IT field is a real plus!

● Analytical mind and business acumen

● Problem-solving aptitude

● Excellent communication and presentation skills

● BSc/Engineering in STEM fields or a relevant field

● Hands on coding experience in more than 1 programming language preferred What we offer:

- Exposure to real world Data Science problems across multiple countries and domains

- Hands on experience on Data problem solving with mentorship from Senior Data Scientists with years of experience in AI/DS product building - Potential to be recruited as full time Data Scientists for DBanyan (post the internship)

- Opportunity to travel to the Netherlands onsite (for better understanding of our business and engagement with the company/its customers)