Senior Data Science Lead

1 week ago

Wallingford, Oxfordshire, United Kingdom Coders Connect Full time
Coders Connect: Transforming International Sustainability with AI and Machine Learning

We are seeking a highly skilled Lead Data Scientist to join our pioneering team at Coders Connect. As a key member of our team, you will play a crucial role in developing innovative solutions for global sustainability using large language models and unstructured data analysis.

Key Responsibilities:
  • Lead and manage data science projects, from defining objectives to delivering actionable insights.
  • Apply advanced machine learning, NLP, deep learning, and Generative AI techniques to uncover patterns in unstructured datasets.
  • Collaborate with cross-functional teams, including research experts and domain specialists, to build and refine data classification models.
  • Fine-tune transformer-based models, especially large language models (LLMs), to solve open-ended challenges.
  • Design and implement scalable machine learning models to improve processes and decision-making.
  • Handle labeled and unbalanced datasets, ensuring optimal extraction of valuable insights.
  • Continuously explore and leverage the latest AI tools and technologies, while ensuring ethical AI use.
  • Establish and manage GitHub repositories following best practices for collaborative development.
Requirements:
  • Strong communication and leadership skills, with experience collaborating across diverse teams.
  • Proven ability to deliver data science solutions using machine learning, NLP, data visualization, and statistical analysis.
  • Expertise in Generative AI, LLMs, and model optimization, with experience deploying machine learning models at scale.
  • Hands-on experience with Google BigQuery or similar relational databases.
  • Knowledge of the ML project lifecycle and familiarity with MLOps best practices.
  • Strong background in Python, R, and machine learning libraries such as TensorFlow, PyTorch, or Scikit-learn.
  • Experience in analyzing large, complex datasets and building machine learning models.
  • Familiarity with evidence synthesis, impact evaluations, or assessment programs.
  • Understanding of the MLOps lifecycle and model deployment best practices.
  • Experience in applied life sciences or collaborating with scientists is a plus.
What We Offer:
  • Be part of a dynamic, forward-thinking team pushing the boundaries of AI and machine learning.
  • Opportunity to solve real-world problems using cutting-edge technologies.
  • Competitive salary and benefits package with a collaborative, inclusive culture.

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