Senior / Lead Data Scientist, Cleo AI
Product Analytics
£69.7-119.1k
+ Equity. Salary dependent on location
More information about location
AI personal finance assistant
Job no longer available
AI personal finance assistant
501-1000 employees
Job no longer available
£69.7-119.1k
+ Equity. Salary dependent on location
More information about location
501-1000 employees
Company mission
To change the world’s relationship with money.
Role
Who you are
- We are looking for a self-starter, focused on results, with a demonstrated success in using analytics to drive the understanding, growth, and success of a product
- 5+ years of experience doing quantitative analysis within a digital product environment
- Experience conducting large scale A/B experiments and interpreting results to drive product and business decisions
- Ability to define new product metrics from complex, unstructured data
- Excellent SQL skills
- Fluency in Python and its application in data analysis is a nice to have, but not essential
- Knowledge of statistics (e.g. hypothesis testing, regressions)
- Strong communication skills, with the ability to work fluidly across technical and non-technical teams
- Hands-on experience with BI tools (e.g. Looker, Mode, Tableau) and data workflow tools (dbt, Airflow)
- A bias for action and ownership—you’re excited to build from scratch, own it end-to-end, and deliver value fast
What the job involves
- As a Senior / Lead Data Scientist in Product Analytics you’ll be at the centre of strategic decision-making within your team. Working as part of a cross-functional squad alongside product managers, designers, and engineers, you’ll apply your expertise to drive the future of what we build at Cleo
- You will leverage rich user data and sophisticated analytical techniques to see your insights turned into real products
- You’ll also sit within the wider data science function here at Cleo; a hotshot team of 80 Product Analysts, Analytics Engineers, and Machine Learning Engineers, with significant industry experience that are at the heart of everything we do at Cleo
- Conduct deep-dive analysis in your product domain to understand user behaviour
- Work with Product, Machine Learning, Design, and Engineering team-members in your area to build an insight-driven product strategy that leads to high-impact outcomes
- Influence the roadmap of your team through presentation of data-based recommendations
- Define how we quantitatively evaluate success, setting KPIs, designing tracking to measure what really matters
- Conduct regular A/B tests and causal analyses to determine the impact of product changes on success metrics
- Build models of user-segmentation, marketing attribution, customer lifetime value etc
- Work with Analytic Engineering to prioritise data modelling needs in your area as well as directly contributing to our transformed data codebase
Salary benchmarks
Our take
People are increasingly not satisfied with the products being offered by traditional banks, which have proven slow to react to the needs of younger consumers who expect more from their everyday experiences.
Cleo was one of the first companies to make great use of chatbots that sit within Facebook's messenger app. This chatbot-first approach and Gen Z user base have given it strong virality. It now has millions of registered users, 99% of which are based in the US, leading to a decision to take a year break from the UK market to focus on its US Gen Z customers. And after a successful year in the US its now eyeing up a return to the UK.
Its Series C funding will help the company to double down in the US, where it will make a significant increase in employee headcount, and enable Cleo to maintain and expand its service during an economic downturn.
Financial advice delivered via bots is a crowded space, so Cleo benefits from having a strong brand presence. It has gone for very bold, fun, Gen Z-focused messaging which helps it to stand out from competitors such as Emma, Plum, and Chip.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 6 rounds)
Jun 2022
$80m
SERIES C
Dec 2020
$44m
SERIES B
Total funding: $137.7m
Company benefits
- Meaningful equity with early exercise, plus top-ups on promotion
- Primary caregiver: 18 weeks at full pay / Secondary caregiver: 6 weeks full pay, 6 weeks half pay (dependant on tenure)
- Paid 1-month sabbatical every 4 years
- Comprehensive health, dental & vision insurance
- Learning & development training platform
- Mental health support via Spill
- Company-wide performance reviews every 4 months
- We’ll cover your OpenAI or Claude subscription
- Pension match up to 6%
- Life assurance
- 25 days annual leave + an extra day for every year you’re at Cleo (up to five accrued days)
Company values
- Make it Happen - Own the outcome. Lend a hand, take a hand. Fast execution.
- No bullsh*t - Intellectually honest. Go hard on problems, not people. Data-backed decision making.
- Learn at Speed - Jump in and figure it out. Dig deep, do it right. Learn what matters.
- Bring Good Vibes - Read the room, lift the room. Show up for others. Keep it real, keep it positive.
Company HQ
Finsbury, London, UK
Leadership
Barnaby Hussey-Yeo
(Founder & CEO)Previously a Data Scientist at Wonga, one of the companies that pioneered the smart use of data for loan decisions. Joined Entrepreneur First where Cleo was formed.
Diversity, Equity & Inclusion at Cleo AI
- We’ve set up an internal committee of truly passionate people that are dedicated to ensuring Diversity and Inclusion is embedded in how we all operate as a team. We agree on meaningful actions, and get on with implementing them. We have three main focuses right now, which are:
- 1) Improving SocioEconomic diversity across the company
- 2) Increasing the number of women in Leadership roles
- 3) More community outreach
Share this job
View 33 more jobs at Cleo AI