Data Science Senior Principal

* Lead a team of data scientists, providing mentorship and guidance on daily tasks, fostering professional development and capability growth.* Oversee the implementation of Continuous Integration/Continuous Deployment (CI/CD) pipelines, ensuring deliverables meet project milestones and quality standards.* Apply advanced machine learning, forecasting, and statistical analysis techniques to drive experimentation and innovation on data science projects.* Lead the experimentation and implementation of new data science techniques for projects, ensuring alignment with internal and external customer objectives.* Communicate project status, methodologies, and results to both technical teams and business stakeholders, translating complex data insights into actionable strategies.* Facilitate data science team discussions, providing technical expertise on current methods and guiding decision-making for optimal outcomes.* Contribute to strategic data science initiatives, influencing the direction of key projects and aligning team efforts with broader business goals.* Encourage collaboration across teams and functions to ensure seamless integration of data science solutions into business processes and technology platforms.* Foster Team Excellence: Lead and manage a multidisciplinary team of data scientists, machine learning engineers, and GenAI developers, ensuring they are empowered to deliver high-quality, scalable solutions.* Quality Assurance: Establish and enforce best practices for coding, model development, and deployment processes to ensure all outputs meet organisational standards.* Performance Management: Conduct regular 1:1s, performance reviews, and provide constructive feedback to support individual and team growth.* Collaboration: Act as a bridge between squads and stakeholders, ensuring alignment and collaboration across teams to maximise impact.* Upskilling: Develop and execute training plans to enhance the team’s technical capabilities* Mentorship: Provide technical mentorship and career guidance to team members, fostering a culture of continuous learning and professional development.* Knowledge Sharing: Encourage and facilitate the sharing of knowledge, tools, and techniques within the team and across the organisation.* 7+ years’ leadership experience leading, managing or influencing multiple functions, geographies and stakeholders (ideally in a Global Digital Program). Experience managing a large, multi-cultural, diverse team.* Significant previous experience creating and leading cross functional and multi-country business change programmes.* Familiarity with modern data science tools and technologies such as continuous integration, build, deliver, test-driven development and automated acceptance testing.* Experience of managing a portfolio of programmes and initiatives within a matrix structure, creating/delivering customer value propositions, and leading technology related programmes* Communicating and inspiring confidence at a senior level with technical and non-technical audiences, with the ability to shape strong presentations and narratives that influence and commit people to change.* Experience in multi-facility, international organisations with diverse multi-cultural, corporate cultures.* Strong team engagement and motivation skills. You’ll be adaptable and able to pivot in a dynamic environment, a digital enthusiast, a coach and a communicator.* Ability to lead in a matrix and build capabilities in global teams.* An advocate and ambassador of the ‘test, learn, build or pivot’ approach.* Excellent understanding of machine learning techniques and algorithms.* Knowledge of implementing Data Science, Machine Learning and GenAI solutions at scale.* Experience with common statistical techniques and data science toolkits.* Strong quantitative and analytical skills and experience with data visualisation tools.* Applied statistics skills, such as distributions, statistical testing, regression etc.* Experience with AWS, Databricks and Dataiku.* Strong understanding of data structures and algorithms plus solution and technical design.* Able to quickly pick up new programming languages, technologies, and frameworks* Strong knowledge of applied data science.* Significant expertise in machine learning algorithms and data science methods.* Strong data wrangling experience with structured and unstructured data* Experience with various programming and scripting languages, databases, processing and storage frameworks plus coverage with various hyperparameter tuning approaches* Understanding and experience with CRISP-DM and Agile data science framework* Ability to identify and resolve both people and process related issues#J-18808-Ljbffr…