Senior Data Scientist

Senior Data Scientist

Full-Time 100000 - 140000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Lead data science initiatives and drive impactful business decisions with AI.
  • Company: Fast-growing AI startup revolutionising client-facing roles.
  • Benefits: Competitive salary, equity options, and flexible remote work.
  • Why this job: Make a real impact in a dynamic environment with ownership and autonomy.
  • Qualifications: Experience in data science and a passion for problem-solving.
  • Other info: Join a team that values innovation and offers rapid career growth.

The predicted salary is between 100000 - 140000 £ per year.

Role & Reporting

Hiring Manager: Marco, Data Lead

Location: Monday - Thursday in our Chancery Lane office (London), Friday remote.

Compensation: £100-£140k 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. Experience working at a fast paced early-stage tech company.

Senior Data Scientist employer: Fyxer Limited

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 meaningful impact in the rapidly evolving field of AI.
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Contact Detail:

Fyxer Limited Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Senior Data Scientist

✨Tip Number 1

Network like a pro! Reach out to current employees on LinkedIn or attend industry meetups. We all know that personal connections can open doors, so don’t be shy about making those introductions.

✨Tip Number 2

Prepare for the interview by researching the company and its culture. We want you to show us how your skills align with our mission at StudySmarter. Tailor your examples to highlight your data-driven decision-making abilities!

✨Tip Number 3

Practice makes perfect! Conduct mock interviews with friends or use online platforms. We recommend focusing on behavioural questions and technical challenges relevant to the Senior Data Scientist role.

✨Tip Number 4

Don’t forget to follow up after your interview! A simple thank-you email can leave a lasting impression. We appreciate candidates who take the time to express their enthusiasm for the role and the company.

We think you need these skills to ace Senior Data Scientist

Predictive Modelling
Data Infrastructure Management
BigQuery
dbt
Fivetran
Data Quality Assurance
KPI Definition
Algorithm Experimentation
Data-Driven Decision Making
Collaboration with Cross-Functional Teams
Analytical Thinking
Problem-Solving
Communication Skills
Business Impact Analysis

Some tips for your application 🫡

Show Your Passion: When writing your application, let your enthusiasm for data science shine through! We want to see how excited you are about the role and our mission at StudySmarter. Share why you’re drawn to this position and how you can contribute to our growth.

Tailor Your CV: Make sure your CV is tailored specifically for the Senior Data Scientist role. Highlight relevant experience and skills that align with what we’re looking for. Use keywords from the job description to show us you understand the role and its requirements.

Craft a Compelling Cover Letter: Your cover letter is your chance to tell your story! Use it to explain how your background and experiences make you a perfect fit for our team. Be personal, be genuine, and don’t forget to mention why you want to work with us at StudySmarter.

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’re considered for the role. Plus, it shows us you’re serious about joining our team!

How to prepare for a job interview at Fyxer Limited

✨Know Your Data Inside Out

As a Senior Data Scientist, you'll be expected to have a deep understanding of data science principles and practices. Brush up on your knowledge of predictive models, data infrastructure, and the tools mentioned in the job description like BigQuery and dbt. Be ready to discuss specific projects where you've used these technologies to drive business impact.

✨Showcase Your Collaboration Skills

This role involves working closely with various teams such as engineering, marketing, and sales. Prepare examples of how you've successfully collaborated with cross-functional teams in the past. Highlight your ability to communicate complex data insights in a way that non-technical stakeholders can understand and act upon.

✨Demonstrate Your Problem-Solving Approach

The company values first principles thinking, so be prepared to explain your thought process when tackling data-related challenges. Share specific instances where you identified a problem, broke it down into manageable parts, and developed a solution that had a measurable impact on the business.

✨Prepare Questions That Show Your Interest

Interviews are a two-way street, so come armed with thoughtful questions about the company's data strategy and future goals. Ask about the current challenges they face in data science and how you can contribute to overcoming them. This shows you're not just interested in the role, but also in the company's mission and vision.

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