Senior Data Scientist

LSEG is seeking a Senior Data Scientist to drive the development of high-impact, scalable AI solutions. The successful candidate will have extensive experience applying data science methods to solve real-world problems and a proven track record of deploying AI models and solutions to production.

Responsibilities:

• Develop and deploy production-level AI models and data-driven solutions that align with strategic business objectives.
• Tune and optimize AI models to improve their accuracy, efficiency and overall fitness for purpose in various applications.
• Evaluate third-party AI solutions on both functional and non-functional aspects, assessing their suitability based on performance, scalability, and business needs.
• Establish and apply coding standards to maintain robust and clean code.
• Work closely with Software Engineers and multi-disciplinary teams to define project requirements and direction, and establish development roadmaps.

Requirements:

• Extensive experience applying data science methods to solve real-world problems with a proven track record of deploying AI models and solutions to production.
• Strong statistical analysis skills, with a foundation in probability, to support robust model development and interpretation.
• Proficiency in Object-Oriented programming in Python with expertise in key data science and machine learning libraries (e.g. TensorFlow, PyTorch and Scikit-Learn).
• Expertise in cloud technologies (emphasis on Azure and/or AWS) and deployment practices, ensuring seamless and scalable delivery.
• Proven ability to establish and uphold coding standards to ensure high-quality, maintainable code.
• Excellent communication skills for summarizing complex technical concepts clearly and effectively to both technical and non-technical partners.

Benefits:

• High-impact projects: work on a variety of pioneering AI products and leverage extensive datasets to solve complex, high-value challenges.
• Competitive benefits: enjoy a strong compensation package, comprehensive benefits, and ongoing investment in career growth and skill development.
• Industry leadership: opportunity to be a founding member of the organization that's delivering brand-new products that democratize modeling and analytics solutions.
• Collaborative environment: opportunities for continuous learning and professional development in a work environment of dedicated, highly experienced teams.