CS Data Science and Analytics Engineer

Opportunity Review: Data Science and Analytics Engineer at Bupa, Salford Quays

Bupa is offering an exciting opportunity for a Data Science and Analytics Engineer to join their team in Salford Quays. This role is positioned at the heart of Bupa's digital strategy, with a focus on leveraging data to improve customer service operations and drive business transformation. If you're a data professional looking to make a tangible impact in the health and wellbeing sector, this could be a significant step in your career.

Key Advantages for Potential Candidates:

• Impactful Work: As a Data Science and Analytics Engineer at Bupa, you'll be directly contributing to their mission of "making health happen." Your work will have a real-world influence on the lives of colleagues, customers, patients, and residents.
• Career Development: The role emphasizes personal growth. You'll be encouraged to develop your skills and understanding of data science techniques and tools, with clear aspirations to grow into future leadership positions. This is an excellent platform for ambitious professionals.
• Hybrid Working Flexibility: Bupa offers a hybrid working model with two days in the office for collaborative knowledge sharing, alongside flexibility in locations, hours, and working patterns, catering to diverse needs.
• Innovative Environment: You'll be working on innovative projects and using cutting-edge technologies, including advanced analytics, machine learning, and visualization tools. This is a chance to stay at the forefront of data science.
• Collaborative Culture: The position encourages collaboration with analysts, data engineers, and stakeholders, fostering a team-oriented environment. You'll also have the opportunity to coach peers and stakeholders, enhancing your leadership and communication skills.
• Comprehensive Benefits: Bupa offers a robust benefits package, including extensive wellbeing programs (Viva), holiday allowance, health insurance, enhanced pension and life insurance, and discounts.

Key Considerations for Your Career Path:

• Technical Proficiency: A strong foundation in SQL, Python, DAX, and statistical modeling is essential. Candidates should also have experience with R and machine learning techniques.
• Domain Experience: Experience within Agile frameworks and customer contact environments is highly beneficial. Understanding operational data and customer needs will be crucial for delivering impactful analysis.
• Analytical & Business Acumen: The ability to translate business goals into technical requirements and deliver actionable insights is a core expectation. Presenting complex data clearly using tools like Power BI is a key responsibility.
• Leadership Potential: The description highlights a desire for thoughtful leadership, strategic thinking, and emotional intelligence. Candidates aspiring to leadership roles will find this environment conducive to developing these qualities.
• Continuous Improvement Mindset: Experience with DataOps and a passion for continuous improvement methodologies will be valuable assets, aligning with Bupa's commitment to ongoing enhancement.

This Data Science and Analytics Engineer role at Bupa offers a compelling blend of technical challenge, personal development, and meaningful contribution to a company with a clear social purpose. It's a strong opportunity for seasoned data professionals looking to advance their careers in a supportive and forward-thinking organization.