Principal Applied Data Scientist

Overview

Are you an experienced data scientist with a passion for product ionising AI solutions? Do you want to build innovative solutions for financial markets and professionals by co-developing with teams of brilliant, collaborative data scientists? If so, we’d love to talk to you!

Role summary:
As an individual contributor Principal Data Scientist, you will drive the development of high-impact, scalable AI solutions, moving beyond prototypes to production systems. We are looking for an applied data scientist with the proven ability to manage project timelines and deliver high-quality AI products that align with business goals. The successful candidate will combine strong technical thought leadership with a collaborative approach to ensure team success.

• Lead end to end technical development process including design, 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.
• Research and 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 model evaluation and coding standards to maintain production grade code.
• Work closely with business and engineering partners to define project requirements and direction, and establish development roadmaps.

Essential Skills

• 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 data analysis skills, with a foundation in probability, to lead robust model development and interpretation.
• Proficiency in Object-Oriented programming in Python with expertise in key data science and machine learning libraries (e.g. Tensor Flow, PyTorch and Scikit-Learn).
• Expertise in cloud technologies (emphasis on Azure and/or AWS) and deployment practices, ensuring seamless and scalable delivery.
• Proven track record of setting model quality and coding best practices to ensure high-quality products.
• Excellent communication and negotiating skills for conveying complex technical concepts and project considerations to both technical and non-technical partners.

Desirable skills

• Working knowledge of Dev Ops 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

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

We recognize that to attract the best talent, we need to be flexible, and we are open to discussing work arrangements with you. We take a hybrid approach to the workplace; this role is considered ‘digital first’, which requires attending the office at least one day per week while some teams and colleagues choose to collaborate in the office more frequently.

We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone’s race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants  and employees  religious…