At a Glance
- Tasks: Lead data analysis and turn complex insights into actionable strategies for campaign performance.
- Company: Join Broadlab, a forward-thinking company focused on impactful data-driven solutions.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Be part of a dynamic team that values innovation and mentorship in a collaborative environment.
- Why this job: Make a real impact by transforming data into trusted insights that drive business success.
- Qualifications: 5-8 years in applied data science with strong skills in causal inference and advanced analytics.
The predicted salary is between 60000 - 80000 £ per year.
Broadlab is hiring a Senior Applied Data Scientist – Measurement & Insights to lead how we interpret and communicate campaign performance across our outcome-based CTV platform. This is a high-impact, senior role focused on turning complex measurement data into clear, commercially actionable insight. You’ll work at the intersection of data science, client strategy, and campaign optimisation; owning advanced analysis and elevating how we understand and explain performance. You’ll also help embed best-in-class measurement thinking across the business and leverage AI-enabled analytical workflows to accelerate insight generation.
What You’ll Do
- Measurement & Incrementality Leadership
- Lead analysis and selection of key measurement solutions
- Lead & develop advanced analyses (incrementality, lift studies, geo experiments, causal inference)
- Apply methods such as Difference-in-Differences and propensity score matching
- Interpret brand uplift, conversion, and ID graph data
- Identify true drivers of performance beyond standard attribution
- Insight & Storytelling
- Translate statistical outputs into clear, executive-ready insights
- Lead post-campaign analysis and client-facing narratives
- Elevate the quality and relevance of campaign reporting
- Build Scalable Insight Frameworks
- Develop repeatable analysis frameworks and playbooks
- Standardise insight delivery across campaigns
- Partner with Product/Engineering to embed insights into tools
- Raise the Bar Internally
- Mentor and train Optimisation teams on:
- Statistical thinking
- Experimental design
- Measurement interpretation
- Improve statistical literacy across commercial teams
- Advanced Modelling
- Build models to explain:
- Geo-level performance variation
- Audience and creative effects
- Frequency and saturation dynamics
- Work with large-scale impression-level and enriched datasets
- AI-Driven Workflows
- Use tools like ChatGPT, Claude, Copilot to accelerate analysis and insight generation
- Explore automation and AI-assisted measurement workflows
What We’re Looking For
- Core Experience
- 5–8+ years in applied data science
- Strong grounding in causal inference & experimentation
- Experience with media, campaign measurement, or advertising data
- Advanced Python & SQL
- Experience with large-scale event/log-level datasets
- Ability to translate complex analysis into business insight
- Comfortable using AI tools in modern data workflows
- Nice to Have
- CTV / programmatic / performance marketing experience
- Incrementality testing & geo experiments
- ID graphs / enriched consumer datasets
- Cloud environments (AWS, Snowflake)
- Mentoring or team development experience
What Success Looks Like
- Campaign insights are deeper, more rigorous, and more commercially impactful
- Clients recognise our measurement capability as a key differentiator
- Optimisation teams become more analytically confident
- Repeatable frameworks scale across campaigns
Why Join Broadlab?
Our edge comes from connecting advanced measurement to real business outcomes. This role is central to that mission by ensuring our data isn’t just analysed, but understood, trusted, and acted upon.
Senior Applied Data Scientist – Measurement & Insights in London employer: Broadlab
Broadlab is an exceptional employer that fosters a culture of innovation and collaboration, making it an ideal place for a Senior Applied Data Scientist. With a strong emphasis on employee growth, you will have the opportunity to lead impactful projects while leveraging cutting-edge AI tools in a supportive environment. Located in a vibrant area, Broadlab offers a dynamic work atmosphere where your insights directly contribute to meaningful business outcomes.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Applied Data Scientist – Measurement & Insights in London
✨Tip Number 1
Network like a pro! Get out there and connect with folks in the industry. Attend meetups, webinars, or even just grab a coffee with someone who’s already in the data science game. You never know where a casual chat might lead!
✨Tip Number 2
Show off your skills! Create a portfolio that highlights your best work, especially those advanced analyses and insights you’ve generated. Use platforms like GitHub to showcase your projects and make it easy for potential employers to see what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your storytelling skills. Be ready to explain your analysis and insights in a way that’s clear and engaging. Remember, it’s not just about the numbers; it’s about how they translate into real business impact!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive and take the initiative to connect directly with us.
We think you need these skills to ace Senior Applied Data Scientist – Measurement & Insights in London
Some tips for your application 🫡
Show Your Data Science Skills:Make sure to highlight your experience with causal inference and experimentation in your application. We want to see how you've turned complex data into actionable insights, so don’t hold back on showcasing your advanced Python and SQL skills!
Tell a Story with Your Insights:When you describe your past projects, focus on how you translated statistical outputs into clear, executive-ready insights. We love a good story, especially when it comes to campaign performance, so make it engaging and relevant!
Emphasise Collaboration:This role is all about working with different teams, so mention any experience you have in partnering with product or engineering teams. Show us how you’ve embedded insights into tools and standardised delivery across campaigns.
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 this exciting opportunity at Broadlab!
How to prepare for a job interview at Broadlab
✨Know Your Data Inside Out
Make sure you’re well-versed in the key measurement solutions and advanced analyses mentioned in the job description. Brush up on your knowledge of causal inference, incrementality testing, and how to interpret brand uplift data. Being able to discuss these topics confidently will show that you’re ready to take on this high-impact role.
✨Craft Your Storytelling Skills
Prepare to translate complex statistical outputs into clear, executive-ready insights. Think about how you can present your past experiences in a way that highlights your ability to communicate findings effectively. Practising your storytelling skills will help you elevate the quality of your responses during the interview.
✨Showcase Your AI Savvy
Since the role involves leveraging AI-enabled analytical workflows, be prepared to discuss your experience with tools like ChatGPT or Copilot. Share specific examples of how you’ve used AI to accelerate analysis or improve measurement workflows. This will demonstrate your comfort with modern data tools and your innovative approach to problem-solving.
✨Demonstrate Mentorship Experience
If you have any mentoring or team development experience, make sure to highlight it. Discuss how you’ve helped others improve their statistical literacy or understanding of measurement interpretation. This will not only showcase your leadership skills but also align with the company’s goal of raising the bar internally.
