
Advanced Analytics and Machine Learning Leader
2 weeks ago
We are seeking an experienced leader to oversee the design, development, and deployment of advanced analytics and machine learning solutions. As a Data Science and Analytics Lead, you will be responsible for leading a team of data scientists and collaborating with cross-functional teams to drive data-informed decision-making across the organisation.
As a key member of our team, you will play a hands-on role in delivering data-driven value across the enterprise, leveraging data to uncover insights, build models, and visualize patterns using statistical and machine learning techniques.
Responsibilities:- Partner with business stakeholders to identify and understand complex analytical challenges.
- Lead a multidisciplinary squad (Data Scientists, AI/ML Engineers, Data Analysts) using Agile methodologies.
- Design and develop data science solutions to enhance strategic decisions, customer experience, and engagement.
- Provide thought leadership in data science techniques, tools, and industry trends.
- Contribute to the development of ML models and apply LLMs to deliver actionable insights and next-best actions.
- Manage delivery of analytics products to technical and business stakeholders, tailoring communication styles accordingly.
- Lead the implementation of modern data architecture (data lakes, warehouses, real-time pipelines).
- Establish and drive data governance frameworks, policies, standards, and ethical AI practices.
- Oversee end-to-end data science execution on the GCP platform.
- Guide the team through migration and enhancement of Bupa's strategic data platform.
- Ensure quality assurance and provide practice guidance to the team.
- Collaborate with architects, engineers, and business stakeholders to translate requirements into data-driven solutions.
To succeed in this role, you will need:
- Minimum 8 years of experience in customer analytics, data science, or a related field.
- Minimum 2+ years team leadership experience.
- Postgraduate qualifications in data science, statistics, mathematics, or a similar discipline.
- Certification or experience in product ownership/management is advantageous.
- Proven ability to communicate complex ideas clearly and influence stakeholders.
- Experience leading and collaborating in virtual and agile team environments.
- Demonstrated leadership in coaching, development, and performance management.
- Strong experience in developing and deploying ML algorithms with commercial impact.
- Deep knowledge of statistics and machine learning techniques.
- Skilled in Python, SQL, SAS, and familiar with modern AI stacks.
- Experience with cloud platforms (Microsoft Azure, Azure Databricks, or similar).
- Proficient in data visualization tools (e.g., PowerBI).
- Experience applying Generative AI and LLMs to solve business problems.
- Strong understanding of big data platforms and scalable data pipelines.
- Ability to prioritize effectively, balancing short-term delivery with strategic goals.
We offer a range of benefits to support your career growth and overall well-being, including:
- Professional development opportunities.
- A competitive salary and bonus structure.
- A comprehensive health and wellbeing program.
- A flexible working arrangement.
At our company, we strive to create a workplace that is inclusive, diverse, and supportive. We believe in investing in our people and providing them with the resources they need to excel in their careers.
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