- ·Candidate should have very good educational and theoretical background with able to provide solution to complex analytical challenges.·Having experience to understand the customer compliance and manage multiple project deliverables.·Candidate should have knowledge of calibration, method development and troubleshooting using various instruments like KF auto titrator, dissolution (I, II & IV), spectroscopic instruments e.g. UV spectrometer, IR and Chromatog·Candidate should have very good educational and theoretical background with able to provide solution to complex analytical challenges.·Having experience to understand the customer compliance and manage multiple project deliverables.·Candidate should have knowledge of calibration, method development and troubleshooting using various instruments like KF auto titrator, dissolution (I, II & IV), spectroscopic instruments e.g. UV spectrometer, IR and Chromatog
- Requirements: • Master’s degree in computer science, engineering, statistics, economics or equivalent with relevant 7 years of work experience• Proven ability to use modeling, optimization, machine learning or text classification algorithms• Possess a background in database design, ETL processes (SSIS) and SQL analysis (SSAS) to assist the Analytics team in formalizing their internal data flows and related reporting processes• Data virtualization, analyticRequirements: • Master’s degree in computer science, engineering, statistics, economics or equivalent with relevant 7 years of work experience• Proven ability to use modeling, optimization, machine learning or text classification algorithms• Possess a background in database design, ETL processes (SSIS) and SQL analysis (SSAS) to assist the Analytics team in formalizing their internal data flows and related reporting processes• Data virtualization, analytic
- Technical:Should be a seasoned Data Science Candidate with background in Machine Learning and preferably Neural NetworksShould be well versed with modeling in PythonShould have worked on AWS or AZZURE environments – If Not atleast aware of AWS o AZURE DS componentsCommunication:Candidate should have done a customer facing role – Prior role should have some customer facing experienceShould be able to participate in customer meetings and present the WNS viewTechnical:Should be a seasoned Data Science Candidate with background in Machine Learning and preferably Neural NetworksShould be well versed with modeling in PythonShould have worked on AWS or AZZURE environments – If Not atleast aware of AWS o AZURE DS componentsCommunication:Candidate should have done a customer facing role – Prior role should have some customer facing experienceShould be able to participate in customer meetings and present the WNS view
- Data Science Lead - Forecasting Job Purpose and ImpactIntelligent Supply Chain Forecasting Lead will work collaboratively in multidisciplinary teams to define, develop, deploy and sustain complex supply chain digital solutions at scale. In this role, you will deploy predictive, prescriptive models at scale for digital supply chain products that help deliver significant value to our customers, businesses, and functions.Key Accountabilities Own and design sData Science Lead - Forecasting Job Purpose and ImpactIntelligent Supply Chain Forecasting Lead will work collaboratively in multidisciplinary teams to define, develop, deploy and sustain complex supply chain digital solutions at scale. In this role, you will deploy predictive, prescriptive models at scale for digital supply chain products that help deliver significant value to our customers, businesses, and functions.Key Accountabilities Own and design s
- Role : - SC & DMPython (mandatory, R programming will also do),SAS(Preferred),Banking Domain (must),Resource should be from core banking domain,finance domain won’t workExpereince - 4 to 8 yearsLocation : Bangalore, Mumbai, Gurgaon, Kolkata//Onsite (Dubai, travelling is must)Role : - SC & DMPython (mandatory, R programming will also do),SAS(Preferred),Banking Domain (must),Resource should be from core banking domain,finance domain won’t workExpereince - 4 to 8 yearsLocation : Bangalore, Mumbai, Gurgaon, Kolkata//Onsite (Dubai, travelling is must)
- Requirements: • Master’s degree in computer science, engineering, statistics, economics or equivalent with relevant 7 years of work experience• Proven ability to use modeling, optimization, machine learning or text classification algorithms• Possess a background in database design, ETL processes (SSIS) and SQL analysis (SSAS) to assist the Analytics team in formalizing their internal data flows and related reporting processes• Data virtualization, analyticRequirements: • Master’s degree in computer science, engineering, statistics, economics or equivalent with relevant 7 years of work experience• Proven ability to use modeling, optimization, machine learning or text classification algorithms• Possess a background in database design, ETL processes (SSIS) and SQL analysis (SSAS) to assist the Analytics team in formalizing their internal data flows and related reporting processes• Data virtualization, analytic
- Role Summary:We are looking for a data engineering manager in our Product Engineering team who will help usto develop data solutions to discover the information hidden in vast amounts of data and help usmake smarter decisions to deliver even better products. Your primary focus will be on applyingData Engineering Skills to create and improve Aurigo’s Data Infrastructure for solving businessproblems. The ideal candidate must have a proven ability to drive buRole Summary:We are looking for a data engineering manager in our Product Engineering team who will help usto develop data solutions to discover the information hidden in vast amounts of data and help usmake smarter decisions to deliver even better products. Your primary focus will be on applyingData Engineering Skills to create and improve Aurigo’s Data Infrastructure for solving businessproblems. The ideal candidate must have a proven ability to drive bu
