Senior Data Scientist

September 11

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Elder

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Live-in care that connects you. The UK’s leading live-in care specialists, providing the alternative to the care home

Alternative To Care Home

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💰 Series B on 2020-01

Description

• Partner with Product Managers, Engineers and other stakeholders to scope, define and test initiatives with the goal to deliver meaningful outcomes that meet our business and product strategy • Work closely with the other members of the data guild to ensure alignment on the priorities and to 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. • Predictive Modelling: Develop and implement machine learning and statistical models to predict customer behaviour, preferences, and lifetime value, and identify opportunities to apply those models for targeted interventions and customer segmentation. • 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. • Experimentation: Design, implement, and analyse A/B tests and other experiments to evaluate the effectiveness of novel product features and business tactics. • Communication: Effectively communicate complex data findings and insights to both technical and non-technical stakeholders, driving data-informed decision-making across the organisation. • Education: Ensure that the business can understand the value of data science in tackling customer and business challenges, and proactively collaborate in cross-functional initiatives. • Research: Be Elder’s eyes and ears and keep upto date with all the latest developments in the AI and Data space and look to share interesting technologies and approaches that Elder could leverage • Partner with the CPTO to define a AI strategy

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. Bonus points if you’ve worked in a marketplace technology business. • Proficiency in Python, in particular with data science 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 ability to communicate technical concepts simply to different audiences. • Experience in owning machine learning projects end to end, from design to deployment. • Being a self-starter, with a can-do attitude and a bias to action. • Comfortable working alone when required however also a strong team player with a proactive, results-oriented mindset and the ability to work effectively in a fast-paced, dynamic environment.

Benefits

• Competitive Salary + Bonus • 25 days holiday + bank holidays + (1 extra day of holiday per year worked for first 5 years) (pro rata) • 6 weeks work from anywhere in the world • Dental and health insurance • Hybrid working (1 day per week in our London office, Wednesday) • E-learning platform (Udemy) • Sponsored quarterly team and company socials • Mentoring and coaching programmes to help you achieve your personal and career goals • Macbook + any particular extras you require • Cycle-to-work scheme • Paid parental leave • Rollover holiday time • Pension scheme • Stock options • Inspiring learning and CSR • Growth and personal development • A jam-packed social calendar • Exclusive discounts • Referral scheme