Job Description

Job Role: 
 Associate Consultant, Data Science
 



Work Experience: 
 4 to 8 Years
 



Work location: 
 Bengaluru
 



Work Mode: 
 Hybrid
 



Must Have Skills: 
 Machine Learning, Clustering, Segmentation, Python
 



  





Job Summary: 




 As a member of Advanced Analytics team, you will be involved in developing and applying statistical methodologies and analyses to set-up, implement and maintain solutions (specifically Segmentation, Clustering, Forecasting and Marketing Mix projects with proficiency in Python, R, PySpark, SQL, SAS and MS Office) for EMEA countries with focus on Italy & Greece. You will be working in close collaboration with different stakeholders across the globe.
 



  





Principal Accountabilities: 




  




* Develop a good understanding of consumer offerings, proprietary databases, and analytical approaches to effectively guide and support client-facing stakeholders across globe
* Handle small and large datasets on projects efficiently and figure out the right technology for processing the data (e.g. Python, R, SAS etc.,). Be a champion on analytics technologies within the team
* Handle projects such as Segmentation & Targeting of Pharmacies/Physicians/Hospitals, Promotional Return (ROI analysis), Resource and Price Optimization analyses
* Present findings and recommendations to stakeholders in business point of view
* Ability to perform advance analytics using ML algo such as Linear & Non-Linear Regression, Hierarchical model, Bayesian, Time series forecasting, RNN, CNN, LSTM, NLP etc.
* Provide support in building Data science/Advance Analytics proposals and presenting the same in front of leadership. Lead discussions and assess the feasibility of AI/ML solutions for business processes and outcome
* Ensure efficient and effective project delivery to meet project team and client expectations



  





Educational Qualification: 




 An academic background in quantitative sciences (Master’s degree in Statistics, Mathematics, Economics/Econometrics or Bachelor’s degree in Computer Science, Data Science or AI/ML or related fields with a strong focus on quantitative analysis, including an acceptable number of courses in statistical methods and theory) from a well-known institution