Data Scientist, Elder

• Proven experience in data analysis and predictive modelling, preferably in a customer-focused setting
• Proficiency in programming languages such as Python, R, or Java, and experience with data analysis libraries and tools (e.g., NumPy, Pandas, Scikit-learn)
• Good understanding of relational databases and ability to extract data from them (in any SQL flavour)
• Strong knowledge of machine learning algorithms and statistical modelling techniques
• Excellent problem-solving, critical thinking, and communication skills, with the ability to translate complex data insights into actionable recommendations
• A strong team player with a proactive, results-oriented mindset and the ability to work effectively in a fast-paced, dynamic environment

Desirable

• Partner with Product Managers, Engineers and other stakeholders to define and test initiatives with the goal to deliver meaningful outcomes that meet our business and product strategy
• Data Analysis: Collect, preprocess, and analyse large datasets from multiple sources to extract actionable insights that inform our customer value optimisation strategies
• Predictive Modelling: Develop and implement machine learning and statistical models to predict customer behaviour, preferences, and lifetime value, and identify opportunities for targeted interventions and customer segmentation
• Pricing Model Development: Collaborate with cross-functional teams to develop and refine pricing models that maximise customer conversion rates, engagement, and lifetime value
• Performance Tracking: Design and implement performance tracking metrics and dashboards to monitor the success of customer value optimisation initiatives and provide data-driven recommendations for improvement
• Experimentation: Design, implement, and analyse A/B tests and other experiments to evaluate the effectiveness of different pricing strategies and customer engagement tactics
• Communication: Effectively communicate complex data findings and insights to both technical and non-technical stakeholders, driving data-informed decision-making across the organisation

• Cycle-to-work scheme
• 6 weeks work from any where in the role (this can be used along side holiday entitlement)
• Parental leave at full pay for both parents
• 25 days holiday (excl. bank holidays) + 1 day per year for the 1st 5 years (total of 30 days)
• Hybrid working
• Equipment (Apple Mac or Pc)
• Health Insurance - (Dental, Mental, Physio, Vision)
• Growth and development
• Inspiring learning and CSR
• Rollover holiday time
• Pension scheme
• Team and company socials
• Referral scheme
• Mental health support
• Free drinks and snacks

Total funding: $26.6m

Elderly care has traditionally been delivered in residential care homes, which require people to be taken out of their own homes and moved into an unusual environment. Elder is introducing a technology-driven solution to a previously undisturbed market. It believes that getting older shouldn’t mean giving up choice and independence – even when you need care.