Group Manager - Data Sciences
Group Manager - Data Sciences
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Job Description
Roles and responsibilities The ideal candidate should have strong communication skills to effectively engage with both technical and non-technical stakeholdersThe candidate will be responsible for developing end to end task/workflow automation pipeline using Python using wide range of data sources (both on premise and cloud)Candidate should have strong working experience is transforming excel based manual processes to fully automated python based process incorporating strong governance around itThe person should be competent in Python Programming and possess high levels of analytical skills - Data pre-processing engineering data pipeline development and automation In-depth knowledge of libraries such as pandas numpy scikit-learn openpyxl pyxlsb TensorFlow PyTorch -versed with Python coding standards and formatting conventions to ensure maintainable scalable and reusable and automate workflows using Microsoft Power Platform (Power BI Power Apps Power Automate).integrating systems and automating workflows using WTW Unify Knowledge of Dataiku is a GenAI techniques to enhance data exploration automate content generation and support data quality governance and compliance with organizational -versed with CI/CD pipelines using Azure DevOps (ADO) for seamless deployment and integration of data science working on Posit Workbench Posit Connect will be an added advantageStay updated with the latest trends in AI machine learning and data experience Mandatory Python (Data processing Engineering & Automation) SQL Proficiency with version control systems like ADO/BitbucketPreferred - R programming Posit Workbench R Shiny Experience processing large amount of data using BigData technologies is preferredFamiliarity with Microsoft Power Platform of Dataiku is a with WTW Unify platform and its applications in of Generative AI models and frameworks (e.g. GPT DALLE Llama).Knowledge of data visualization tools and techniques is a plus Functional/Other expertiseRelevant experience: 8 years of experience using Python programming Language for end-to-end data pre-processing transformation and automationExperience in the Insurance domain preferred (for e.g. Finance Actuarial)
Qualifications :
Educational Qualification: Masters in Statistics/Mathematics/Economics/Econometrics from Tier 1 institutions Or BE/B-Tech MCA or MBA from Tier 1 institutions
Remote Work :
No
Employment Type :
Full-time
Employment Type
Full-time
