Job Title

Job Role: Associate Consultant, Data ScienceWork Experience: 2 to 4 YearsWork location: BengaluruWork Mode: HybridMust Have Skills: Machine Learning, Clustering, Segmentation, PythonJob 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 globeHandle 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 teamHandle projects such as Segmentation & Targeting of Pharmacies/Physicians/Hospitals, Promotional Return (ROI analysis), Resource and Price Optimization analysesPresent findings and recommendations to stakeholders in business point of viewAbility 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 outcomeEnsure efficient and effective project delivery to meet project team and client expectationsEducational 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