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Machine Learning / AI Data Scientist – Function lead

Sentinel
7 months ago
Applications closed

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Head of Data Science & AI Delivery | London, UK

Machine Learning / AI Data Scientist – Function & Team Lead


Join a global innovator in client management technology, empowering wealth management and private banking firms with award-winning, end-to-end Client Lifecycle Management solutions. They're driving digital transformation, simplifying complex client interactions for firms worldwide.


Our client is looking for a Machine Learning Scientist to lead their AI and data science efforts, driving innovation and optimizing their CLM products. This role requires a blend of leadership, technical expertise, and a strategic mindset. You will guide and build a team, collaborate with cross-functional stakeholders, and implement AI-driven solutions that enhance our clients' experience and streamline operations.


Key Responsibilities:


  • Team Leadership:Mentor and manage a data science team, fostering an innovative environment.
  • AI Integration:Lead AI solutions across CLM products, focusing on predictive analytics, NLP, and automation.
  • Collaboration:Work closely with product and engineering teams for seamless AI integration.
  • Client Engagement:Develop solutions tailored to client needs, providing valuable insights and measurable impact.


Experience required:


  • AI Team Leadership: Experience managing and guiding data science or AI teams, with at least two years in a senior role.
  • Data Science Skills: Proficient in machine learning, statistical analysis, NLP, LLMs, and recommendation systems.
  • Data Expertise: Skilled in handling both structured and unstructured data, with knowledge of data models like knowledge bases and RAG.
  • Technical Know-How:Strong in Python, R, TensorFlow, PyTorch, and scikit-learn for building models.
  • Model Optimization:Skilled in choosing and tuning model designs for best performance.
  • Cloud & SaaS Experience:Familiar with deploying AI models on cloud platforms like Azure.
  • Data Engineering Collaboration:Experience working with data engineers to build data pipelines and efficient ETL processes.
  • Database Skills:Advanced in SQL and NoSQL, with experience managing large datasets.
  • Effective Communication: Strong interpersonal skills for influencing teams and clearly presenting AI strategies to leadership.


Ready to make an impact? Apply today!

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