Data Analytics Specialist
3 weeks ago
Data Scientist Role
As a key member of our team at iwoca, you will play a vital role in shaping the future of lending products and services.
We are seeking an exceptional Data Scientist to lead data-informed innovation, design experiments, and measure opportunities to shape customer experience and product offerings.
- You will specialise in Supervised Machine Learning, Statistical Inference, and Exploratory Statistics to drive business growth and improve decision-making.
- Analyse conditional probabilities and expectations using medium-sized datasets to inform business strategy.
The Repeats team owns product decisions for recurring customers, including user journey, eligibility, documents requirements, offer terms, and more.
- You will figure out best document requirements and offer terms to maximise user conversion and value.
- Design and implement tests to test hypotheses and drive business outcomes.
- Work closely with the Repeats team lead and Tech leads to identify and quantify opportunities.
- Design experiments to compare performance and evaluate rigorously.
- Share findings and modelling with the wider business to impact strategy.
- You will own monitoring and data pipelines for existing customers' user journey.
- Lead the move away from rule-based policies towards machine learning approaches.
- Join a community of Analysts/Data Scientists/Statisticians to ensure alignment in methodology.
- Promote analytical rigour within the team.
- Develop an acute understanding of the Repeat customers funnel.
- Independently build data science solutions and statistical models to solve business problems.
Example projects include refining affordability strategy and improving docs requirements.
- Essential skills: ability to dive deep into business context, strong problem-solving skills, proficiency with data manipulation and modelling tools, self-driven with project management skills, PhD in a relevant numerate discipline or previous industry experience.
- Bonus skills: Python experience, experimental design and Bayesian analysis, experience with credit risk or mathematical finance.
Estimated salary range is £70,000 - £90,000 per annum, depending on experience and qualifications.
We prioritise a culture of learning, growth, and support, investing in the professional development of our team members.
- Our offices in London, Leeds, and Frankfurt provide a collaborative work environment with drinks and snacks.
- Enjoy regular events and clubs, such as bingo, comedy nights, yoga classes, football, etc.
- Benefits include medical insurance, private GP service, 25 days' holiday, extra day off for birthday, unlimited unpaid leave.
- One-month, fully paid sabbatical after four years.
- Instant access to external counselling and therapy sessions.
- 3% pension contributions on total earnings.
- Employee equity incentive scheme.
- Generous parental leave and nursery tax benefit scheme.
- Electric car scheme and cycle to work scheme.
- Two company retreats a year.
- Leverage our learning and development budget for ongoing professional growth.
- Attend company-wide talks with internal and external speakers.
- Access to learning platforms like Treehouse.
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