About us
Are you looking to join a talented, hardworking, diverse team, focused on a life-changing mission, at one of Europe’s fastest-growing tech startups? If yes, then you are in the right place!
At Elder, we are reinventing what it means to age. We have started with a care marketplace which connects older people, families and carers to enable 1:1 personalised care at home. Our technology platform CareOS is at the core of the Elder experience enabling a personal, transparent and flexible care experience for all. Since launch in 2016, more than 11 million hours of care have been delivered through Elder in over 500 towns and cities across the UK.
We’ve been fortunate to receive awards including the Sunday Times TechTrack fastest growing UK companies, Deloitte Fast50 and Care Company of the Year at the HealthInvestor 2022 Awards while also covered by the BBC, Financial Times and Guardian
We are still in the very early stages of our mission and potential impact and looking for talented people to join us in delivering it that share our values of seeking excellence, together and for our society. What also matters to us? Well, it matters that you’re unique. It matters that you’re great at what you do, that you put in the hard work. And, obviously, it matters that you care as much as we do.
About the role
We are seeking a highly skilled and results driven Data Scientist to lead our data science function by applying their expertise in data analysis, machine learning, and statistical modelling to drive customer-focused initiatives such as customer engagement, matching and lifetime value maximisation. You will own the end to end lifecycle of the models you work on. You will have a strong analytical mindset, excellent communication skills, and a passion for translating complex data insights into actionable recommendations.
We’re looking for candidates who are excited to identify and solve problems pragmatically and independently, as well working with product managers and the wider business.
Responsibilities
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
We’re a service business and we know that without the best people, we cannot build the best company which is why we treat our team very well. We can offer:
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
AND a genuine opportunity to be a very key part of a high-growth business
Do something you genuinely care about. Join a diverse team of skilled, passionate and progressive people who like to get on with each other. Work at one of Europe’s fastest-growing scale-ups. Apply today.
Elderly care represents one of society’s greatest challenges. Are you ready to be part of the solution? Apply today.
Elder recruits, employs, trains, compensates and promotes regardless of race, religion, colour, national origin, sex, disability, age, veteran status, and other protected status.
