Group Manager - Data Sciences
Group Manager - Data Sciences
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Job Description
Job Summary:We are seeking a highly skilled and forward-thinking Senior Data Scientist to join our Automation Centre of Excellence within the Research & Analytics team. Expertise in Generative AI and Machine Learning. Adept at leading end-to-end development of high-performance GenAI/ML solutions that streamline complex business workflows and elevate analytical precision. This role demands deep expertise in Data Science Generative AI (GenAI) Python programming and automation. The ideal candidate will lead the development of intelligent scalable solutions that automate workflows enhance decision-making and unlock business value through advanced AI techniques. Awareness of Microsoft Power Platform is good to and Responsibilities:Collaborate with cross-functional teams to identify automation opportunities and deliver AI-driven and implement end-to-end data science workflows using Python integrating diverse data sources (on-premise and cloud).Lead the transformation of manual Excel-based processes into robust governed Python-based automation advanced data science techniques including data preprocessing feature engineering and model GenAI models (e.g. GPT DALLE LLaMA) for content generation data exploration and intelligent and deploy applications using Microsoft Power Platform (Power BI Power Apps and Power Automate).Integrate systems and automate workflows using WTW high standards of code quality modularity and scalability in Python CI/CD pipelines using Azure DevOps for seamless deployment of data science data governance quality and compliance with organizational abreast of emerging trends in AI GenAI and data engineering to drive Skills & Tools:Mandatory:Key Skills: Generative AI Machine Learning Deep Learning NLPPython (Data Processing Engineering Automation)Libraries: Pandas Numpy Seaborn Matplotlib Scikit-learn Tensorflow Keras OpenCV NLTK Spacy Gensim TextBlob Fasttext FastApiGenAI frameworks (e.g. OpenAI Hugging Face Meta AI LangChain LangGraph)Version Control & DevOps Tools: GitHub (CI/CD Actions) Azure DevOpsVersion control systems (ADO/Bitbucket)Preferred:R Programming Posit Workbench R ShinyKnowledge of Microsoft Power Platform WTW UnifyFunctional Expertise:8 years of experience in data science and GenAI projectsProven track record in deploying GenAI solutions in enterprise in the Insurance domain (e.g. Finance Actuarial) is a communication skills to engage with technical and non-technical stakeholders.
Qualifications :
Educational Qualifications:Masters degree in Statistics Mathematics Economics or Econometrics from Tier 1 institutionsOR BE/B-Tech MCA or MBA from Tier 1 institutions
Remote Work :
No
Employment Type :
Full-time
Employment Type
Full-time
