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About the Role
This role involves owning opportunities and outcomes from customer conversations to testing hypotheses, running experiments, and delivering optimizations for our AI agent. You will be at the forefront of our product, interacting with customers, using real-world data to derive insights, and directly optimizing agent performance against key metrics.
Responsibilities
- Be at the frontline of our product - talk to customers and align directly on what success looks like and how it’s measured.
- Use raw, real-world data to form clear, actionable insights.
- Directly optimise the performance of our agent, tuning and improving it against those metrics for every customer we onboard.
- Own the optimisation flow end to end - use data to translate opportunities into tangible improvements in our agent, and close the loop by delivering and demonstrating that value.
- Get obsessive with the data: understand the data at the lowest level, then leverage this to form and test robust hypotheses about the bigger picture.
- Work across multiple teams and functions to bring shared understanding of where the highest impact opportunities are and how we deliver on them.
- Own your work end to end and scope your own initiatives.
- Turn ad hoc analyses and findings into powerful, scalable tooling for teammates and customers to self-serve.
Requirements
- Significant data science experience at a lead/staff level.
- Building robust data pipelines is second nature.
- Fluent in SQL and Python.
- Strong understanding of statistical methods.
- A background working in a startup or a fast-moving tech environment, close to the product or customer side of the business.
- A knack for solving data puzzles and going from SQL queries to clear conclusions and next steps.
- A strong product mindset and pragmatic approach - understand the right tradeoffs to make and can move fast to deliver product and business impact.
- Expert communication skills; this role will be partially customer-facing.
- Confident using AI to unlock efficiencies in your day-to-day while maintaining a high standard of output.
Skills
- SQL
- Python
- Statistical methods
- Data pipelines
- AI
Location
- London
- Remote (UK)
Work Type
- Hybrid
- Remote
Experience Level
- Lead/Staff level
Salary/Compensations
- Open to chatting with people who have a range of salary requirements
Benefits
- Base salary
- Meaningful equity
- Private medical & dental insurance
- 25 days holiday + bank holidays (or bank holiday opt out for 32 days holiday)
- Team socials and offsites
About the Company
- Gradient Labs is building the AI customer operations platform for financial services.
- Founded in 2023, we work with some of the biggest names in banking and fintech.
- Our platform runs specialist agents, purpose-built for financial services, to eliminate manual work across customer support and back-office operations.
- We are a team of builders from companies like Monzo, Wise, Revolut and Google.
- We are tackling some of the hardest problems in AI and helping shape the future of customer operations.
- This is a unique chance to be part of a team working with cutting-edge technology to reshape how businesses will operate in the future.
- Over the next 10 years, every company will need to embrace AI-powered operations to stay competitive.
- You’ll tackle challenging and new problems, work with some of the most exciting brands across different industries, and be surrounded by a passionate, smart team that’s driven to build something groundbreaking.