Develop, implement, and optimize machine learning and AI tools to drive innovation and improve decision-making within our data-driven ecosystem. The role focuses on designing scalable AI models and tools that enhance analytics capabilities across key business areas and improve operational efficiency.

Role and Responsibilities:

AI Tool Development: Lead the design, development, and deployment of machine learning models and AI tools that enhance data processing, predictive analytics, and decision support systems.

Model Optimization: Continuously improve model accuracy, performance, and scalability, utilizing advanced machine learning techniques and cutting-edge AI methodologies.

Integration and Automation: Collaborate with data engineers to integrate AI solutions into existing data infrastructure and automate processes, reducing manual workload and increasing efficiency.

Cross-Functional Collaboration: Partner with business units, product teams, and stakeholders to align AI developments with business needs, ensuring solutions are practical, scalable, and impactful.

Performance Monitoring: Implement robust performance monitoring systems for AI models, ensuring accuracy and reliability while adapting to changing data inputs and business requirements.

Research and Innovation: Stay abreast of the latest advancements in AI and machine learning, exploring opportunities to introduce new techniques and technologies that drive business growth.

Ethics and Compliance: Ensure AI tools and models adhere to ethical guidelines, data privacy standards, and compliance regulations.

Key Outputs:

• Development of robust AI tools that enhance data analytics capabilities and deliver actionable insights to stakeholders.
• Creation of scalable machine learning models that integrate with existing data platforms, including data lakes, warehouses, and cloud-based systems.
• Continuous improvement processes for model validation, testing, and deployment.
• Effective communication of AI-driven insights and recommendations to business leaders and stakeholders.

Requirements

• Bachelor's degree in computer science, data science, artificial intelligence, or a related technical field.
• 3-5 years of experience in machine learning, AI tool development, or a related analytical field.
• Proficiency in programming languages such as Python, R, and SQL, with a strong understanding of machine learning frameworks like TensorFlow, PyTorch, and Scikit-Learn.
• Experience with cloud computing platforms (e.g., AWS, Azure, Google Cloud) and data processing technologies.
• Demonstrated ability to develop and optimize complex machine learning models, including supervised, unsupervised, and reinforcement learning.
• Familiarity with data visualization tools such as Power BI, Tableau, and Jupyter Notebooks.
• Strong analytical skills with a passion for data, machine learning, and AI-driven problem-solving.
• Excellent communication skills, capable of translating complex technical concepts into actionable insights for non-technical stakeholders.
• Strong project management skills, with a history of leading projects involving multiple departments and geographic regions.
• Master's degree in machine learning, AI, or a related field is preferred.
• Familiarity with data governance, ethics, and compliance in AI is preferred.

LEADERSHIP ACCOUNTABILITIES

• Team Leadership: Ability to mentor junior data scientists and engineers, guiding them through complex AI development projects.
• Stakeholder Management: Proactively build rapport with stakeholders, ensuring AI tools meet business needs and drive value.

BARRIERS TO SUCCESS IN ROLE

• Inability to scale AI solutions across diverse data environments.
• Difficulty translating technical AI concepts for a non-technical audience.
• Lack of adaptability in a rapidly changing technological landscape.
• Inability to build cross-functional relationships that drive collaboration and support for AI initiatives.

LEADERSHIP AND DIAL UP BEHAVIORS

• Be externally curious
• Collaborate efficiently
• Experiment and learn
• Act decisively

Feel inspired? Then this may be the opportunity for you!

EEO Information Diversity statement

Celebrating our inclusive and diverse culture is core to Diageo's purpose of "celebrating life every day everywhere". This purpose is, in itself, inclusive in nature, as it values everybody irrespective of background, disability, religion, gender identity, sexuality or ethnicity. We know that for our business to thrive and for Diageo to realize its ambition, we depend on having diverse talent with a range of backgrounds, skills and capabilities in each of the 180 countries in which we operate and to reflect our broad consumer base. We view diversity as one of the key enablers that helps us to grow and our values, purpose and standards set the conditions for us to respect the unique contribution each person brings.

Flexibility is key to success in our business and many of our staff work flexibly in many different ways, including part-time, compressed hours, flexible location. Please talk to us about what flexibility means to you and don't let anything stop you from applying. We offer fantastic benefits for our North America Diageo employees.

Diageo is an Equal Opportunity Affirmative Action employer and is subject to federal regulations pertaining to employment. Diageo does not unlawfully discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, marital status, Protected veteran status, or any other basis prohibited under federal, state or local laws governing non-discrimination in employment in every location in which the Company has facilities. Diageo also provides reasonable accommodation for qualified individuals with disabilities in accordance with the Americans with Disabilities Act (ADA) and any other state or local laws.