Data Science Manager

Location: Greater London

## Data Science Manager Apply locations:
G
-London-10 Paternoster Square:
Edinburgh, United Kingdom time type:
Full time posted on:
Posted Todayjob requisition :
R0121775# Data Science Manager## Are you an experienced Data Science leader with a passion for building and scaling AI/ML products?

Lead a team of exceptional Data Scientists and ML Engineers building next-generation AI solutions for financial markets. Drive innovation using
** LLMs, Generative AI, Deep Learning, Transformers, Agentic AI, and advanced Machine Learning
** to deliver real-world business impact.
** If you're passionate about shaping the future of AI, we'd love to talk to you.**# ROLE SUMMARYAs a
** Data Science Manager**, you will lead a high-performing team of Data Scientists delivering AI-powered products that create measurable business value s role combines
** technical leadership, people leadership, and strategic execution**. You will drive innovation in AI and Machine Learning, establish engineering excellence, and develop exceptional talent while delivering production-grade solutions that solve complex customer problems.

The ideal candidate has a consistent track record of leading technical teams, scaling AI initiatives from concept to production, and fostering a culture of innovation, collaboration, and continuous improvement. You will partner closely with Product, Engineering, Research, and business partners to shape strategy, accelerate execution, and deliver impactful AI solutions.# WHAT YOU'LL BE DOINGThis role combines technical leadership, organizational leadership, and strategic execution within a high-impact AI organization.##

Technical Leadership
* Lead the design, development, evaluation, and deployment of
** production-grade AI and Machine Learning solutions**.
* Drive innovation in
** Generative AI, Large Language Models (LLMs), Agentic AI, Retrieval-Augmented Generation (RAG), Deep Learning, and Transformer-based architectures**.
* Define the technical vision for AI products, ensuring solutions are
** scalable, secure, maintainable, and aligned with business objectives**.
* Provide deep expertise in
** model development, experimentation, optimization, evaluation, and production deployment**.
* Establish standard methodologies for
** LLM evaluation, model benchmarking, AI quality measurement, and performance assessment**.
* Evaluate emerging AI technologies, foundation models, and third-party solutions to find opportunities for innovation and business value.
* Guide architectural decisions across
** AI platforms, model-serving infrastructure, data pipelines, and MLOps/LLMOps capabilities**.
* Partner closely with Engineering teams to
** product ionize AI solutions and drive operational excellence**.
* Build, mentor, and lead high-performing teams of
** Data Scientists and AI/ML practitioners**.
* Set clear goals, drive accountability, and support career growth and development.
* Lead performance management, coaching, feedback, and talent development activities.
* Foster a culture of
** innovation, collaboration, ownership, and continuous learning**.
* Drive hiring, onboarding, succession planning, and team growth initiatives.
* Accelerate technical excellence through mentoring, technical reviews, and knowledge sharing.## Strategic & Delivery Leadership
* Partner with Product, Engineering, and Business leaders to define AI strategy, roadmap, and priorities.
* Drive execution through effective planning, prioritization, resource management, and delivery oversight.
* Deliver high-quality AI solutions that create measurable business value.
* Champion engineering excellence through guidelines, coding standards, experimentation, and governance.
* Communicate technical strategy, risks, and recommendations clearly to technical and executive collaborators.
* Promote responsible AI, model governance, compliance, and operational risk management.# WHAT YOU'LL BRING## ESSENTIAL SKILLS## LEADERSHIP & MANAGEMENT
* Proven track record of
** building, leading, and developing high-performing teams
** of Data Scientists, ML Engineers, and AI practitioners.
* Demonstrated success delivering
** large-scale AI initiatives from ideation to production
**…