Senior Data Science Leader

4 weeks ago

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

We are a pioneering technology startup dedicated to transforming the elderly care industry. Our mission is to provide personalized, transparent, and flexible care experiences for older people, families, and carers.

Our flagship platform, CareOS, has already delivered over 11 million hours of care across the UK, with more than 500 towns and cities benefiting from our innovative solution.

Award-Winning Company

Elder has received numerous accolades, including being named one of the Sunday Times TechTrack fastest-growing UK companies, Deloitte Fast50, and Care Company of the Year at the HealthInvestor 2022 Awards.

Our achievements have also been featured in prominent publications like the BBC, Financial Times, and Guardian.

Join Our Journey

We are seeking an experienced Data Scientist to lead our data science function. This role will involve applying expertise in data analysis, machine learning, and statistical modelling to drive customer-focused initiatives such as customer engagement, matching, and lifetime value maximisation.

Responsibilities:
  • Partner with Product Managers, Engineers, and stakeholders to scope, define, and test initiatives that deliver meaningful outcomes aligned with our business and product strategy.
  • Collaborate with the data guild to ensure alignment on priorities and drive shared initiatives.
  • Analyse large datasets from multiple sources to extract actionable insights informing our customer value optimisation and segmentation strategies.
  • Develop and implement machine learning and statistical models to predict customer behaviour, preferences, and lifetime value, identifying opportunities for targeted interventions and customer segmentation.
  • Design and implement performance tracking metrics and dashboards to monitor the success of business initiatives and provide data-driven recommendations for improvement.
  • Effectively communicate complex data findings and insights to technical and non-technical stakeholders, driving data-informed decision-making across the organisation.
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, with bonus points for experience in a marketplace technology business.
  • Proficiency in Python, particularly with data science libraries and tools (e.g., NumPy, Pandas, Scikit-learn).
  • Strong knowledge of machine learning algorithms and statistical modelling techniques.
  • Excellent problem-solving, critical thinking, and ability to communicate technical concepts simply to different audiences.
Benefits

We offer a competitive salary (£90,000 - £110,000 per year) + bonus, 25 days holiday + bank holidays + additional days off (pro rata), 6 weeks work-from-anywhere policy, dental and health insurance, hybrid working arrangement, e-learning platform, sponsored social events, mentoring and coaching programmes, MacBook, cycle-to-work scheme, and opportunities for career growth and professional development.

We pride ourselves on treating our team members exceptionally well, recognising their hard work and dedication to our mission.

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