At a Glance
- Tasks: Shape high-impact Data Science concepts and influence strategic direction across teams.
- Company: Leading media analytics firm focused on innovation and client impact.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Dynamic role with mentorship opportunities and a focus on impactful initiatives.
- Why this job: Make a real difference in the media landscape with your Data Science expertise.
- Qualifications: Extensive experience in Data Science and strong conceptual thinking skills.
The predicted salary is between 80000 - 100000 £ per year.
As a Principal Data Scientist, you shape high‑impact, client‑relevant Data Science concepts and ensure strategic coherence across teams and domains. This role is a perfect playground for highly experienced, concept‑driven minds who enjoy influencing direction, clarifying complexity, and shaping how Data Science creates value at scale.
You will work on analytics, Data Science and AI topics across our Media pillar, including Media Measurement, Audience Activation, and Performance. The focus of the role is strongly conceptual and influence‑heavy: from innovation seeds and scalable target pictures to client pitches, tenders, and strategic roadmaps.
You ensure that high‑impact Data Science initiatives across currency and outcome products are well‑framed, feasible, client‑relevant, and decision‑ready before they enter delivery structures, reducing conceptual noise while increasing business impact.
Job Responsibilities:
- Strategic & Conceptual Contribution
- Shape and contribute to the strategic alignment and prioritization of cross‑cutting Data Science topics across our Media unit
- Define clear concepts and target pictures for high‑impact initiatives, bridging currency and outcome use cases
- Identify conceptual risks and unrealistic assumptions early
- Ensure scientific rigor, feasibility, and client relevance
- Data Science Board Participation & Steering
- Shape decisions on delivery readiness, spikes, and prioritization
- Support clear steering decisions
- Client, Market & Growth Impact
- Contribute to client pitches, tenders, and growth initiatives
- Support market expansion
- Ensure concepts scale across markets and media contexts while remaining compatible with existing currency principles
- Narrative & Guidance
- Create Data Science value narratives
- Provide 'Why this matters' framing
- Develop concepts and whitepapers for delivery teams
- Consultancy on solution readiness and prioritization
- Mentoring & Capability Building
- Mentor and guide other Data Scientists, supporting their professional growth and conceptual thinking
- Provide senior technical and methodological guidance across teams without direct people management responsibility
- Act as a role model for high-quality Data Science thinking, communication, and stakeholder interaction
Principal Data Scientist | Media Measurement (MM) in London employer: Stryker Corporation
Stryker Corporation is an exceptional employer that fosters a dynamic and inclusive work culture, offering employees the chance to thrive in a remote setting while being part of a leading medical communications team. With a strong emphasis on professional development and growth opportunities, employees are encouraged to enhance their skills and advance their careers, all while contributing to meaningful projects that impact healthcare globally.
StudySmarter Expert Advice🤫
We think this is how you could land Principal Data Scientist | Media Measurement (MM) in London
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We think you need these skills to ace Principal Data Scientist | Media Measurement (MM) in London
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!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Stryker Corporation, 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 Stryker Corporation. 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 Stryker Corporation
✨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 Stryker Corporation!
✨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.
