At a Glance
- Tasks: Lead data science initiatives to optimise AI performance and enhance customer operations.
- Company: Gradient Labs, a pioneering AI platform for financial services.
- Benefits: Competitive salary, equity options, private medical insurance, and 25+ days holiday.
- Other info: Flexible working options with a vibrant team culture and excellent growth opportunities.
- Why this job: Join a passionate team tackling exciting challenges in AI and reshape the future of customer operations.
- Qualifications: Significant data science experience, fluent in SQL and Python, strong communication skills.
The predicted salary is between 63000 - 77000 £ per year.
At Gradient Labs, we're building the AI customer operations platform for financial services. Founded in 2023, we now 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. Together, they give product and operations teams the visibility and control to trust every outcome.
We're a team of builders from companies like Monzo, Wise, Revolut and Google. If you're excited to tackle some of the hardest problems in AI and help shape the future of customer operations, we'd love to hear from you.
How you’ll make an impact
This is a role where you’ll own opportunities and outcomes all the way from conversations with customers to testing hypotheses, running experiments, and proposing and delivering optimisations in our agent. You will:
- Be at the frontline of our product - talk to customers and align directly on what success looks like and how it’s measured. You’ll 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 - you’ll 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 - you'll be given real trust and independence, not a ticket queue.
- Turn ad hoc analyses and findings into powerful, scalable tooling for teammates and customers to self-serve.
What you’ll bring
- Significant data science experience at a lead/staff level; building robust data pipelines is second nature, you’re fluent in SQL and Python, and have a 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 - you 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.
Why join Gradient Labs?
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, and this role puts you right in the middle of that transformation.
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.
Benefits & Logistics
- We’re still at early stages of building out our compensation bandings, whilst we continue to shape this, we’re open to chatting with people who have a range of salary requirements.
- Our compensation package has two key components - 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.
- Flexible working - we have an office in central London and a hybrid working approach. This role is open to London based or remote in the UK folks (ideally you'd be able to come into the office at least once per week).
The Interview Process
- 30 mins Talent Screen with our Founding People & Talent.
- 45 mins First Stage interview with the Hiring Manager, our Founding Data Scientist.
- Take Home Task.
- 1 hr Task Deep Dive interview with our Founding Data Scientist and CTO.
- 45 mins Final interview with our Chief Scientist or CEO.
Lead Product Data Scientist in London employer: Gradient Labs
At Gradient Labs, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. Our team is composed of talented individuals from leading tech companies, providing ample opportunities for professional growth and the chance to work on cutting-edge AI technology that directly impacts customer operations in financial services. With flexible working arrangements, competitive compensation packages, and a commitment to employee well-being, we create an environment where every team member can thrive and contribute to groundbreaking solutions.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Product Data Scientist in London
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Gradient Labs!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Lead Product Data Scientist at Gradient Labs.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Gradient Labs.
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We think you need these skills to ace Lead Product Data Scientist in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Gradient Labs, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Gradient Labs. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Gradient Labs
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Gradient Labs!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
