Lead Data Scientist

1 month ago

Wallingford, Oxfordshire, United Kingdom Coders Connect Full time

Coders Connect is excited to partner with a pioneering company that is revolutionizing international sustainability through cutting-edge AI and machine learning technologies. We are seeking a highly skilled Lead Data Scientist with expertise in large language models and unstructured data analysis to develop innovative solutions for global sustainability challenges.


Key Responsibilities:

  • Lead and manage data science projects, from defining objectives to delivering actionable insights that drive business decisions.
  • Apply advanced machine learning, NLP, deep learning, and Generative AI techniques to uncover patterns in complex, unstructured datasets and drive business growth.
  • Collaborate with cross-functional teams, including research experts and domain specialists, to build and refine data classification models that meet business needs.
  • Fine-tune transformer-based models, especially large language models (LLMs), to solve open-ended challenges and drive business outcomes.
  • Design and implement scalable machine learning models to improve processes and decision-making, ensuring optimal extraction of valuable insights.
  • Handle labeled and unbalanced datasets, ensuring optimal extraction of valuable insights that drive business decisions.
  • Continuously explore and leverage the latest AI tools and technologies, while ensuring ethical AI use and adherence to best practices.
  • Establish and manage GitHub repositories following best practices for collaborative development and knowledge sharing.


Requirements:

  • Strong communication and leadership skills, with experience collaborating across diverse teams and driving business outcomes.
  • Proven ability to deliver data science solutions using machine learning, NLP, data visualization, and statistical analysis to drive business growth.
  • Expertise in Generative AI, LLMs, and model optimization, with experience deploying machine learning models at scale to drive business outcomes.
  • Hands-on experience with Google BigQuery or similar relational databases, ensuring optimal data management and analysis.
  • Knowledge of the ML project lifecycle and familiarity with MLOps best practices, ensuring efficient and effective model deployment.
  • Strong background in Python, R, and machine learning libraries such as TensorFlow, PyTorch, or Scikit-learn, ensuring optimal model development and deployment.
  • Experience in analyzing large, complex datasets and building machine learning models that drive business outcomes.
  • Familiarity with evidence synthesis, impact evaluations, or assessment programs, ensuring optimal data-driven decision-making.
  • Understanding of the MLOps lifecycle and model deployment best practices, ensuring efficient and effective model deployment.
  • Experience in applied life sciences or collaborating with scientists, ensuring optimal data-driven decision-making.


Benefits:

  • Be part of a dynamic, forward-thinking team pushing the boundaries of AI and machine learning to drive business growth and sustainability.
  • Opportunity to solve real-world problems using cutting-edge technologies and drive business outcomes.
  • Competitive salary and benefits package with a collaborative, inclusive culture that values innovation and excellence.

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