Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead and analyse experiments to drive strategic insights and decision-making.
- Company: Join a globally recognised tech brand with unicorn status.
- Benefits: Competitive pay, flexible work options, and opportunities for professional growth.
- Why this job: Make a real impact by solving complex analytical problems in a dynamic environment.
- Qualifications: 6+ years in Data Science, expertise in experimentation, and strong communication skills.
- Other info: Mentor junior analysts and work autonomously in a fast-paced setting.
The predicted salary is between 48000 - 72000 £ per year.
Digitech are partnering with a globally recognised tech brand, with unicorn status, who are seeking a highly experienced Senior Data Scientist to join on a 6 month contract and drive experimentation, insights, and strategic decision-making across the business. This role requires someone who can hit the ground running, operate autonomously, and communicate effectively with senior stakeholders.
You will work across a variety of complex analytical problems, owning experimentation end-to-end—even when ideal conditions such as user randomisation or high statistical power are not present.
Responsibilities- Lead the design, execution, and analysis of experiments, including A/B tests, difference-in-difference, and pre-/post-analysis.
- Low-power and constrained-randomisation experimentation.
- Partner closely with senior non-technical stakeholders to translate business needs into analytical solutions.
- Communicate complex concepts clearly, in person, in writing, and through well-structured analytical code.
- Mentor and support junior analysts/data scientists.
- Deliver meaningful business impact quickly by identifying opportunities, prioritising effectively, and executing with speed.
- Apply strong problem-solving and critical-thinking skills to uncover insights and guide decision-making.
- Work cross-functionally to ensure data science outputs are actionable, practical, and aligned with business priorities.
- 6+ years of experience in Data Science or related analytical roles.
- Deep expertise in experimentation, including advanced techniques and real-world constraints (e.g., no randomisation, low-power scenarios).
- Proficient in Python or R, with strong hands-on experience in statistical modelling and experimentation frameworks.
- Strong knowledge of SQL for data extraction and manipulation.
- Exceptional communication skills, with the ability to engage senior non-technical stakeholders.
- Proven ability to work autonomously, deliver impact quickly, and manage competing priorities.
- Strong analytical mindset with high attention to detail and a pragmatic approach.
- Demonstrated ability to think creatively and translate ambiguous business questions into clear analytical approaches.
- Experience coaching or leading junior team members.
Senior Data Scientist - Experimentation employer: DigiTech Resourcing
Contact Detail:
DigiTech Resourcing Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist - Experimentation
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those who work at companies you're interested in. A friendly chat can lead to referrals, which are often the golden ticket to landing an interview.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your experimentation projects and analytical insights. This not only demonstrates your expertise but also gives you something tangible to discuss during interviews.
✨Tip Number 3
Prepare for the interview by brushing up on your communication skills. Practice explaining complex concepts in simple terms, as you'll need to engage with senior stakeholders who may not have a technical background.
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find roles that match your skills and interests. Plus, applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Senior Data Scientist - Experimentation
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Data Scientist role. Highlight your experience with experimentation and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're the perfect fit for this role. Talk about your experience with A/B testing and how you've tackled complex analytical problems in the past. Let us know how you can drive meaningful business impact!
Showcase Your Communication Skills: Since you'll be working with senior stakeholders, it's crucial to demonstrate your communication skills. In your application, make sure to convey complex concepts clearly and concisely. We want to see that you can bridge the gap between technical and non-technical audiences!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get all the updates directly. Plus, it shows you're keen on joining our team at StudySmarter!
How to prepare for a job interview at DigiTech Resourcing
✨Know Your Experiments
Make sure you brush up on your knowledge of experimentation techniques, especially A/B tests and low-power scenarios. Be ready to discuss how you've tackled complex analytical problems in the past and how you can apply those skills to real-world constraints.
✨Communicate Like a Pro
Since this role involves working with senior non-technical stakeholders, practice explaining complex concepts in simple terms. Prepare examples of how you've successfully communicated insights in previous roles, both in writing and verbally.
✨Showcase Your Autonomy
This position requires someone who can hit the ground running. Be prepared to share instances where you've worked independently, managed competing priorities, and delivered impactful results quickly. Highlight your problem-solving skills and how you approach ambiguity.
✨Mentorship Matters
As a Senior Data Scientist, you'll be expected to mentor junior team members. Think about your coaching style and prepare to discuss how you've supported others in their development. Share specific examples of how you've helped colleagues grow their analytical skills.
