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Job at Bupa in Greater London, England
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Data Scientist reference: R1209760

Job at Bupa in Greater London, England

This is an exciting opportunity for an experienced Data Scientist to join Bupa, a leading health insurer and provider, on a 12-month fixed-term contract. Bupa is committed to leveraging technology to improve health outcomes, and this role offers the chance to contribute to impactful projects across their organisation.

Advantages for Potential Candidates:

  • Meaningful Impact: As a Data Scientist at Bupa, you'll be at the forefront of using data to drive positive change in the healthcare sector, directly contributing to their mission of helping people live longer, healthier, happier lives.
  • Innovative Environment: You'll work within a growing Data Science team focused on implementing modern data science and MLOps standards, utilizing new enterprise cloud infrastructure and exploring AI and GenAI solutions. This is an excellent platform for professional growth and staying current with industry best practices.
  • Diverse Data Exposure: The role involves working with a rich variety of multi-modal data sources, including structured, unstructured, and semi-structured formats. This offers a unique opportunity to expand your experience with data types commonly found in healthcare settings, such as electronic health records and clinical notes.
  • Career Development: Bupa emphasizes continuous professional development, encouraging you to align your learning with organizational goals and emerging trends in AI and data science. This commitment supports your career progression within the field.
  • Flexible Working: The position offers hybrid working options, with the expectation of 1-2 days per week in the office. This provides a good balance between in-person collaboration and personal flexibility.
  • Comprehensive Benefits: Beyond a competitive salary of up to £60K, you'll have access to Bupa's "Viva" global wellbeing program, 25 days of holiday (pro-rata), mental and physical health support services, a confidential employee assistance program, a workplace pension, and a range of employee discounts.
  • Inclusive Culture: Bupa actively champions diversity and encourages applications from individuals with diverse backgrounds and experiences. They are a Level 2 Disability Confident Employer, committed to offering interviews to disabled applicants who meet the minimum criteria and providing reasonable adjustments throughout the recruitment process.

Key Considerations for Your Career Path:

  • Fixed-Term Contract: This is a 12-month fixed-term contract. Candidates should be aware of the contract duration and consider how this aligns with their long-term career goals.
  • Industry Experience: While the role is open to skilled data scientists, applied experience within a healthcare, clinical, insurance, or dental setting is highly valued. Highlighting relevant experience in these sectors will strengthen your application.
  • Technical Proficiency: Strong practical skills in SQL and Python, particularly within cloud environments like Snowflake, Azure, and GCP, are essential. Experience with end-to-end AI/GenAI project delivery, model deployment, and MLOps is also a key requirement.
  • Stakeholder Management: The role involves acting as a data evangelist and educating stakeholders. Developing and demonstrating strong communication skills to present complex technical concepts to non-technical audiences will be crucial for success.
  • Regulatory Awareness: Given the nature of the health insurance sector, a solid understanding of and commitment to regulatory frameworks like GDPR and DPA, as well as aligning with Bupa's Responsible AI Framework, is critical.

This Data Scientist position at Bupa presents a compelling opportunity for individuals looking to apply their data science expertise in a meaningful context, contribute to significant projects, and grow within a supportive and forward-thinking organization. The blend of innovative work, a focus on employee wellbeing, and commitment to diversity makes this a role worth serious consideration for any data professional seeking to make a difference.

ID 1255357 Sectors:
in Greater London, England
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