Formulation Scientist

Position - Data Scientist Lead Experience : 6-8 years Job Responsibilities : - Tech-savvy, passionate about automotive as an industry with the ability to make complex technical matters easy-to understand even for non-technical people - We are looking for a reliable Data Scientist/Machine Learning Engineer to ensure development with Machine Learning to...

Position - Data Scientist LeadExperience : 6-8 years Job Responsibilities : - Tech-savvy, passionate about automotive as an industry with the ability to make complex technical matters easy-to understand even for non-technical people - We are looking for a reliable Data Scientist/Machine Learning Engineer to ensure development with Machine Learning to...

As a Senior Data Scientist, you are expected to break the business problem into a data science problem with clear demarcation of what we have, what we need and what needs to be done to ensure the business problem is solved with an optimal analytical model.1. Visualizing the scope of the project end to end- Identify the expected outcome- Figure out the data...

Data Scientists (Assistant Manager-Senior Manager) - Collaborate with client stakeholders to understand and frame business requests, determine how best to leverage machine learning and advanced analytic methods (Ensemble models, Decision trees and Neural networks; Operations research; Statistical modeling such as multivariate techniques) to support business...

Summary of Responsibilities:- Understanding business objectives and formulate the problem as a Data Science problem- Expert level proficiency in Multivariate Time Series Forecasting or Causal Forecasting- Develop and maintain robust data processing pipelines and reproducible modelling pipelines- Explore data and communicate insights clearly to non-technical...

Summary of Responsibilities: Understanding business objectives and formulate the problem as a Data Science problem Expert level proficiency in Multivariate Time Series Forecasting or Causal Forecasting Develop and maintain robust data processing pipelines and reproducible modelling pipelines Explore data and communicate insights clearly to nontechnical as...

Summary of Responsibilities:- Understanding business objectives and formulate the problem as a Data Science problem- Expert level proficiency in Multivariate Time Series Forecasting or Causal Forecasting- Develop and maintain robust data processing pipelines and reproducible modelling pipelines- Explore data and communicate insights clearly to non-technical...

Summary of Responsibilities:- Understanding business objectives and formulate the problem as a Data Science problem- Expert level proficiency in Multivariate Time Series Forecasting or Causal Forecasting- Develop and maintain robust data processing pipelines and reproducible modelling pipelines- Explore data and communicate insights clearly to non-technical...

Summary of Responsibilities:- Understanding business objectives and formulate the problem as a Data Science problem- Expert level proficiency in Multivariate Time Series Forecasting or Causal Forecasting- Develop and maintain robust data processing pipelines and reproducible modelling pipelines- Explore data and communicate insights clearly to non-technical...

Summary of Responsibilities:- Understanding business objectives and formulate the problem as a Data Science problem- Expert level proficiency in Multivariate Time Series Forecasting or Causal Forecasting- Develop and maintain robust data processing pipelines and reproducible modelling pipelines- Explore data and communicate insights clearly to non-technical...

Job Description : - Collaborate with client stakeholders to understand and frame business requests, determine how best to leverage machine learning and advanced analytic methods (Ensemble models, Decision trees and Neural networks, Operations research, Statistical modeling such as multivariate techniques) to support business objectives- Efficiently...

Job Description : - Collaborate with client stakeholders to understand and frame business requests, determine how best to leverage machine learning and advanced analytic methods (Ensemble models, Decision trees and Neural networks, Operations research, Statistical modeling such as multivariate techniques) to support business objectives- Efficiently...

Responsibilities : - Application Design : Take ownership for services within the team to ensure its launch, improvement and maintenance and participate in product design discussion and decisions.- Collaboration : Partner with various stakeholders to make data driven decisions and formulate overall data strategy and work with the data science & engineering...

Responsibilities :- Application Design : Take ownership for services within the team to ensure its launch, improvement and maintenance and participate in product design discussion and decisions.- Collaboration : Partner with various stakeholders to make data driven decisions and formulate overall data strategy and work with the data science & engineering...

AXA XL recognizes digital, data, and information assets are critical for the business, both in terms of managing risk and enabling new business opportunities. Data Science and Applied AI assets should not only be high quality but also drive a sustained dynamic advantage deliver an excellent experience to our internal, and external customers, and improve...