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Senior Data Scientist - Experimentation/Causal

DigiTech Resourcing
London
1 day ago
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Senior Data Scientist - Experimentation/Causal

Contract Length: 6 months

Rate: £650pd (Inside iR35 if UK based)

Location: Fully Remote

Start: ASAP – ability to deliver impact from Week 1 required


Digitech are partner 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:

Quasi Experimental Techniques

A/B tests

Difference-in-difference

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.
  • Working 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.

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