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About The Company
Barclays is a leading global financial services provider committed to delivering innovative banking solutions and exceptional customer experiences. With a rich history spanning over a century, Barclays operates across numerous countries, serving millions of clients worldwide. The organization prides itself on fostering a culture of integrity, innovation, and excellence, continuously striving to enhance financial well-being and societal impact. As part of its strategic growth, Barclays invests heavily in advanced technology and data-driven initiatives to stay ahead in a rapidly evolving digital landscape.
About The Role
Join Barclays as a Data Science Lead, where you will be instrumental in shaping the company's AI and Data Science strategies. This hybrid role combines technical expertise with leadership responsibilities, requiring you to lead a team of talented data scientists while driving innovative AI solutions. Your primary focus will be on designing, deploying, and maintaining scalable machine learning models that deliver tangible business value. You will establish best practices across the data science lifecycle, foster a culture of continuous learning and innovation, and guide organizational transformation through cutting-edge AI initiatives. As a strategic partner, you will collaborate with senior stakeholders, translating complex technical concepts into actionable business insights. This role offers a unique opportunity to influence the future of data-driven decision-making within a global financial organization, working in a dynamic environment that values collaboration, integrity, and excellence.
Qualifications
- Advanced proficiency in Python programming, including libraries such as NumPy, Pandas, scikit-learn, and PyTorch
- Extensive experience in designing, developing, deploying, and monitoring production-grade machine learning solutions
- Strong understanding of software engineering best practices, including modular development, testing frameworks, CI/CD pipelines, version control, and deployment automation
- Proven leadership experience in managing complex data science projects and driving innovation across teams
- Experience in mentoring and developing technical professionals, fostering a collaborative team environment
- Knowledge of enterprise AI systems and scalable, governed AI solution design within large organizations
- Strategic thinking with the ability to influence senior stakeholders and lead organizational change
- Hands-on experience with Generative AI, Large Language Models, and modern AI architectures
- Expertise in advanced data science techniques such as causal inference, time series forecasting, optimization, graph analytics, or deep learning
- Excellent stakeholder management skills with the ability to communicate complex concepts clearly and persuasively
- Degree in Computer Science, Data Science, Statistics, or related field; advanced degrees preferred
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Responsibilities
- Lead the development and deployment of scalable AI and machine learning models that support business objectives
- Establish and promote best practices across the data science lifecycle, including data collection, cleaning, transformation, and analysis
- Design and maintain efficient data pipelines for automated data ingestion and processing
- Collaborate with business stakeholders to identify opportunities where data science can add value and drive strategic initiatives
- Mentor and develop data science team members, fostering a culture of innovation, continuous learning, and technical excellence
- Define technical standards and guide teams through organizational and technological transformations
- Implement governance and control measures to ensure the integrity and security of AI solutions
- Stay abreast of emerging trends in AI and data science, integrating new techniques and tools into existing workflows
- Communicate complex technical insights to non-technical stakeholders, influencing decision-making processes
- Manage risks associated with AI projects, ensuring compliance with organizational policies and industry regulations
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Benefits
- Competitive salary and performance-based incentives
- Comprehensive health and wellness benefits including medical, dental, and vision coverage
- Flexible working arrangements including hybrid work model options
- Opportunities for professional development and continuous learning
- Generous paid time off and holiday leave
- Access to a collaborative and inclusive workplace culture that values diversity and innovation
- Retirement savings plans and financial wellness programs
Equal Opportunity
Barclays is an equal opportunity employer committed to fostering an inclusive environment for all employees. We celebrate diversity and are dedicated to providing equal employment opportunities regardless of race, gender, age, religion, sexual orientation, disability, or any other protected characteristic. We believe that diverse teams drive innovation and success, and we are committed to ensuring a workplace where everyone can thrive and contribute to our shared goals.
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