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Senior Data Scientist

Nextbridge immediately requires highly talented and experienced Data Scientists. We are in search of an experienced Senior Data Scientist who specializes in both Large Language Models and business analytics. This role is pivotal to our strategy, integrating AI technologies into our products and spearheading our analytics to guide internal decision-making.

Location: Lahore
Experience: 5+ Years

  • Oversee the development and maintenance of business analytics and reporting tools, ensuring they provide accurate and actionable insights for decision-making
  • Analyze trends and patterns in complex datasets, providing recommendations to improve business processes, product development, and customer experiences.
  • Leverage advanced analytics and machine learning techniques to enhance business intelligence efforts and support strategic decision-making.
  • Lead the integration of Large Language Models into our internal products, ensuring they meet our strategic objectives.
  • Design and implement robust AI models to enhance our internal products, focusing on improving automation and internal decision making.
  • Conduct research on the latest advancements in Large Language Models and apply this knowledge to improve our AI capabilities.Requirements:
  • Bachelor's or Master's degree in Engineering, Data Science, or Computer Science
  • At least 5 years of experience in data science, showcasing proven expertise in the development and integration of Large Language Models, as well as in the execution of advanced business analytics
  • Must have experience with Microsoft Power BI
  • Demonstrated ability to integrate AI/ML technologies into products and to architect and maintain business analytics frameworks that drive decision-making and improve operational efficiency
  • Proficient in programming with Python and experienced with AI/ML frameworks (e.g.,TensorFlow, PyTorch), with a solid understanding of data processing, model development, and deployment practices.
  • Extensive experience with cloud computing platforms (AWS, Google Cloud, Azure) for scalable analytics and model deployment.
  • Strong analytical skills, with a track record of using data to provide actionable insights and support strategic business decisions.
  • Excellent communication skills, capable of effectively conveying complex technical concepts to both technical and non-technical audiences.