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.
- Other info: Mentor junior analysts and work autonomously in a fast-paced setting.
- 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.
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.
Required Skills
- 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
DigiTech Resourcing is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the rapidly evolving field of cybersecurity. Employees benefit from comprehensive growth opportunities, competitive compensation, and the chance to work with cutting-edge technology in a supportive environment that values their contributions. Located in the UK, this role provides a unique opportunity to engage with a diverse network of partners while making a meaningful impact in the cybersecurity landscape.
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We think this is how you could land Senior Data Scientist - Experimentation
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We think you need these skills to ace Senior Data Scientist - Experimentation
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!
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Craft a Tailored Cover Letter:For a full-time role at DigiTech Resourcing, 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 DigiTech Resourcing. 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 DigiTech Resourcing
✨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!
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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 DigiTech Resourcing!
✨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.
