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Senior Applied Data Scientist
London Stock Exchange Group
posted 4hr ago
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Flexible timing
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Job Description
As a Senior Data Scientist, you will drive the development of high-impact, scalable AI solutions, moving beyond prototypes to production systems.
We are looking for an experienced data scientist with the proven ability to manage project timelines and deliver high-quality code that aligns with business goals.
The successful candidate will combine strong problem-solving skills with a collaborative approach to ensure team success.
What youll be doing: This role combines hands-on technical leadership with strategic oversight in a high-impact environment focused on innovation and continuous development.
- 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.
- 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.
- Working knowledge of DevOps practices, including code versioning, CI/CD pipelines, automated testing, and monitoring, to streamline development workflows and improve deployment reliability.
Education
Bachelor s degree in Engineering, Computer Science, Data Science, Statistics, Mathematics, Physics or related field, or equivalent work experience
Employment Type: Full Time, Permanent
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Flexible timing
Monday to Friday
No travel
Day Shift
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