AI Data Science Leader for High-Growth Elder Marketplace

4 weeks ago


London, Greater London, United Kingdom Elder Full time
About the Role

We are seeking a highly skilled and results-driven Data Scientist to lead our data science function. As an AI Data Science Leader, you will apply your expertise in data analysis, machine learning, and statistical modelling to drive customer-focused initiatives. You will partner with Product Managers, Engineers, and other stakeholders to scope, define, and test initiatives that deliver meaningful outcomes.

Key Responsibilities:
  • Partner with cross-functional teams to ensure alignment on priorities and drive shared initiatives.
  • Data Analysis: Collect, process, and analyse large datasets from multiple sources to extract actionable insights that inform our customer value optimisation and segmentation strategies.
  • Machine Learning Engineering: Experience in building, testing, and optimising machine learning models and bringing them into production.
  • Performance Tracking: Design and implement performance tracking metrics and dashboards to monitor the success of business initiatives and provide data-driven recommendations for improvement.
  • Communication: Effectively communicate complex data findings and insights to both technical and non-technical stakeholders, driving data-informed decision-making across the organisation.
About Us

Elder is a fast-growing tech startup revolutionising care delivery through its innovative CareOS platform. We connect older people, families, and carers to enable 1:1 personalised care at home. Our mission is to create a world where everyone has access to quality care, and we're looking for talented individuals to join us in delivering this vision.

Requirements:
  • Preferably a degree in Computer Science, Data Science, Statistics, Mathematics, or a related field. A Master's or PhD is a plus.
  • Minimum 3 years experience delivering business value via data analysis and predictive modelling, preferably in a B2C startup/scaleup setting.
  • Proficiency in Python, in particular with data science libraries and tools (e.g., pandas, NumPy, scikit-learn).
  • Good understanding of relational databases and ability to extract data from them.
  • Strong knowledge of machine learning algorithms and statistical modelling techniques.
  • Experience in owning machine learning projects end-to-end, from design to deployment.
Benefits

We offer a competitive salary (£90,000 - £110,000 per annum) + bonus, 25 days holiday + bank holidays, 6 weeks work from anywhere in the world, dental and health insurance, hybrid working, e-learning platform, sponsored quarterly team and company socials, mentoring and coaching programmes, MacBook, cycle-to-work scheme, and a genuine opportunity to be a key part of a high-growth business.



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