Data Scientist, Elder
+ Bonus + Stock Options
More information about location
1+ day a week in office
A true alternative to the care home
Job no longer available
A true alternative to the care home
101-200 employees
Job no longer available
+ Bonus + Stock Options
More information about location
1+ day a week in office
101-200 employees
Company mission
To reinvent what it means to age. Elder pioneers solutions that improve quality of life and peace of mind for individuals and families everywhere.
Role
Who you are
- Preferably a degree in Computer Science, Data Science, Statistics, Mathematics, or a related field. A Master's or PhD is a plus
- Proven 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
- Being a self-starter, with a can-do attitude and a bias to action
- You will have a strong analytical mindset, excellent communication skills, and a passion for translating complex data insights into actionable recommendations
What the job involves
- 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
- 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
- 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
- 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
- Partner with the CPTO to define a AI strategy
Salary benchmarks
Our take
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.
Social care remains one of society’s biggest challenges around the world and the big companies involved are nearly all legacy providers, leaving significant scope for disruption.
Elder is setting out to provide a personalised and genuine approach to senior care that can also scale. Elder is able to dispatch a carer, matched based on individual needs and personality, to any location in the UK within 48 hours. It is now focused on improving its live-in care experience and expanding across the UK.
Steph
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 4 rounds)
Jan 2020
$11.1m
SERIES B
Dec 2017
$4.1m
SERIES A
Total funding: $26.6m
Company benefits
- 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
Company HQ
Shoreditch, London
Leadership
Pete Dowds
(CEO)Background as a lawyer with 5 years experience at DLA Piper in M&A/VC law. Previously co-founded Mopp.com, a home services company, which he scaled to tens of thousands of customers over 3 years before selling to Handy in 2014
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