At a Glance
- Tasks: Lead data science initiatives, build predictive models, and drive impactful business decisions.
- Company: Fast-growing AI startup revolutionising client-facing roles with innovative technology.
- Benefits: Competitive salary, equity options, and flexible remote work on Fridays.
- Other info: Join a dynamic team where your contributions will shape the future of AI.
- Why this job: Take ownership of data science and see your work directly influence company success.
- Qualifications: Experience in data science, strong problem-solving skills, and a passion for collaboration.
The predicted salary is between 120000 - 160000 £ per year.
Role & Reporting
- Hiring Manager: Marco, Data Lead
- Location: Monday - Thursday in our Chancery Lane office (London), Friday remote.
- Compensation: £140,000 - £170,000 base plus equity.
About Us
Since launching in May 2024 we’ve grown to $20 million in ARR. We’re building an AI executive assistant that handles emails, scheduling and follow‑up, freeing people in client‑facing roles to focus on their customers.
What We Value
We hire small numbers of exceptional people who want ownership and autonomy. You’ll be expected to work with urgency and intensity, but you’ll also gain responsibility quickly and see your work have a direct impact.
What You’ll Do
In short, you’ll own Fyxer AI’s data science capabilities — you’ll set the roadmap for high‑impact business areas like marketing and retention, implement scalable solutions, and ensure stakeholders use data to make confident commercial decisions.
- Build and refine predictive models on multi‑channel customer and usage data to drive product and marketing decisions.
- Collaborate with engineering, marketing, sales and product teams to define KPIs, experiment with new algorithms and surface actionable insights that drive impact.
- Maintain data infrastructure (BigQuery, dbt, Fivetran) and ensure data quality for reporting and self‑service analytics.
- Develop a culture of data‑driven decision making and proactively suggest improvements to tools, processes and architecture.
About You
You use first principles to really understand the problem and build solutions that have real business impact. You get frustrated just dealing with tickets and want to partner with businesses.
Lead Data Scientist employer: FYXER
At Fyxer, we pride ourselves on being an exceptional employer that fosters a culture of ownership and autonomy. Located in the vibrant Chancery Lane area of London, our team enjoys a flexible work environment with the opportunity to work remotely on Fridays. We offer competitive compensation, including equity, and provide ample opportunities for professional growth, allowing you to make a significant impact in the rapidly evolving field of AI technology.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Data Scientist
✨Tip Number 1
Network like a pro! Reach out to people in your industry on LinkedIn or at events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio or a GitHub repository showcasing your data science projects. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by practising common data science questions and case studies. We recommend doing mock interviews with friends or using online platforms to get comfortable with the format.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team.
We think you need these skills to ace Lead Data Scientist
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Lead Data Scientist role. Highlight relevant experience and skills that align with our needs, especially in data science and collaboration with cross-functional teams.
Craft a Compelling Cover Letter:Your cover letter should tell us why you’re excited about joining StudySmarter. Share specific examples of how you've used data to drive business decisions and how you can contribute to our mission.
Showcase Your Problem-Solving Skills:In your application, demonstrate your ability to use first principles to tackle complex problems. We love candidates who can think critically and provide innovative solutions that have real business impact.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss any important updates from our team!
How to prepare for a job interview at FYXER
✨Know Your Data Science Stuff
Make sure you brush up on your data science fundamentals. Be ready to discuss predictive models, algorithms, and the tools mentioned in the job description like BigQuery and dbt. Show them you can not only talk the talk but also walk the walk when it comes to data-driven decision making.
✨Show Your Collaborative Spirit
This role involves working closely with various teams. Prepare examples of how you've successfully collaborated with engineering, marketing, or sales in the past. Highlight your ability to define KPIs and drive impactful insights through teamwork.
✨Demonstrate Ownership and Impact
Since they value ownership, come prepared with stories that showcase your ability to take charge of projects and deliver results. Discuss specific instances where your work had a direct impact on business outcomes, especially in fast-paced environments.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about their data culture, the challenges they face, and how they measure success. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
