Remote Opportunity – Data Science Manager (UK-Based with Occasional Office Travel)

Join us for an exciting journey as a Data Science Manager! This pivotal role offers a unique opportunity to lead and mentor a talented team of Data Scientists while delivering impactful Data Science and AI programs across the organization. You will play a central role in enhancing Data Quality, Data Governance, and promoting Best Practices. The ideal candidate will demonstrate hands-on experience with Python coding and cloud computing, coupled with proven leadership in managing data science projects.

Compensation Package:
Competitive salary up to £66,197 for National roles or up to £71,869 for London-based positions (within M25), with additional bonuses of £7,000 for exceptional candidates. A home working allowance of £581 per year is also included.

Note: We are only able to consider applications from candidates with existing UK working rights, as visa sponsorship is not available for this position.

Key Responsibilities:

• Oversee the implementation of the AI and Data Science initiatives throughout the organization.
• Develop and enhance the existing Data Science Team to deliver innovative Data Science solutions.
• Serve as a champion for Data Science and Advanced Statistics, offering guidance to colleagues on complex analytical tasks.
• Collaborate on the enhancement of the AI and Data Science program to achieve high-impact outcomes.
• Advocate for excellence and innovation in data science methodologies, learning from best practices in health and social care services, both nationally and internationally.
• Evaluate various advanced statistical and data science modeling techniques, advising team members on the best tools for organizational needs.
• Manage competing priorities within the Data & Insight unit to ensure timely delivery and effective stakeholder communication.
• Cultivate and maintain relationships internally and externally to propel the AI and Data Science program forward.
• Lead and facilitate multi-disciplinary teams to achieve desired outcomes.
• Ensure rigorous quality control measures are in place for consistent and relevant unit outputs.
• Stay informed on industry trends and developments in data policy and care delivery structures.
• Foster a culture of respect and equity, aligning with our diversity and inclusion strategy.

Skills and Experience:

• A postgraduate qualification in a relevant field or significant equivalent professional experience.
• Comprehensive understanding of various data science techniques, including machine learning and natural language processing, with the ability to apply them to diverse analytical challenges.
• Proven experience in delivering complex analytics and data science solutions effectively.
• Experience in deploying Data Science models at scale and collaborating with architecture and engineering teams.
• Demonstrated leadership in developing and guiding data science or advanced analytics teams.
• Exceptional persuasive and influencing skills with a track record of managing conflicts and articulating clear rationales for decision-making.
• Expertise in managing stakeholder expectations and facilitating discussions despite high complexity and tight timelines.
• Proven ability to communicate compellingly to both technical and non-technical audiences.
• Proficient in data science tools, particularly Python, R, and SQL.
• Familiarity with cloud computing platforms such as Azure, AWS, or GCP.
• Significant experience with cloud-based tools like Databricks, Azure Machine Learning, and Azure AI Foundry, alongside a passion for mentoring others in their use.

Eager to elevate your career in Data Science leadership? Reach out to us today to learn more!

Don’t forget about our generous referral scheme! If you know someone who would excel in this role, refer them to us. For every successful candidate you refer, you will benefit from our exciting gift/voucher scheme.

As one of the UK’s premier recruitment agencies specializing in analytics, Datatech proudly hosts the acclaimed Women in Data UK event. Visit our website for further details!