Principal Decision Scientist - Marketing in London

Principal Decision Scientist - Marketing in London

London Full-Time 80000 - 100000 € / year (est.) Home office (partial)
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At a Glance

  • Tasks: Lead analytics initiatives to transform data into strategic insights for marketing.
  • Company: Join Pipedrive, a people-first tech company with a global presence.
  • Benefits: Enjoy flexible hours, wellness perks, and 28 paid leave days.
  • Other info: Diverse and inclusive culture with opportunities for growth and mentorship.
  • Why this job: Make a real impact by optimising marketing strategies for over 100,000 businesses.
  • Qualifications: 8+ years in analytics, expertise in marketing channels, and strong statistical skills.

The predicted salary is between 80000 - 100000 € per year.

We believe it takes great people to create a great product. That's why our team lives our company values, and we hire based on them, too. Since 2010, Pipedrive has been on a mission to support sales and marketing teams with easy-to-use, powerful tools that make everyday work faster and easier. Today, our cloud-based software is trusted by over 100,000 companies and used in 179 countries. We have grown from a five-person team to a truly international company of over 850+ people, representing more than 50 nationalities, with ten offices distributed across Europe and the US. In 2020, Pipedrive received a majority investment from Vista Equity Partners, a global investment firm that invests exclusively in enterprise software, data and technology‐enabled businesses, making Pipedrive the fifth unicorn from Estonia.

As a Principal Decision Scientist - Marketing, you will lead the development of an analytics function that transforms complex, cross‐channel data into strategic insights and measurable business impact. You'll shape the technical direction for advanced analytics initiatives, driving sophisticated modelling, experimentation, and data infrastructure capabilities that support smarter decision‐making across the organization. Operating at the intersection of data science, marketing, and business strategy, you will translate large‐scale datasets into actionable recommendations that optimise performance, improve customer outcomes, and support commercial growth. Partnering closely with Marketing, Product, Finance, and Data teams, you will establish scalable measurement frameworks, promote analytical best practices, and influence key business decisions. If you enjoy solving complex problems, working across teams, and turning data into practical business outcomes, we'd love to hear from you!

Your new adventure:

  • Lead the design and execution of experimentation frameworks, including geo‐based and holdout incrementality testing, to rigorously validate marketing investment decisions at scale.
  • Evolve the organisation's Marketing Mix Modelling (MMM) capability, including model development, calibration, and translation into actionable budget allocation recommendations for senior leadership.
  • Develop sophisticated statistical models such as LTV prediction, churn scoring, and audience segmentation that influence strategic decisions across Marketing, Finance, and Product.
  • Architect and govern the marketing data layer, ensuring best practice across dbt modelling, data quality, and documentation.
  • Define and lead cross‐functional analytics initiatives that span teams and business units, bringing structure and analytical rigour to ambiguous, high‐stakes commercial problems.
  • Translate highly complex findings into compelling strategic narratives and executive‐ready recommendations, enabling data‐driven decisions at the leadership level.
  • Partner with Finance (FP&A) to ensure marketing efficiency metrics, budget frameworks, and unit economics (CAC, LTV, Payback Period) are consistent with company‐wide financial reporting and planning.
  • Collaborate with Data Engineering and Marketing Technology to define and shape the long‐term marketing data stack roadmap, ensuring tracking integrity, instrumentation standards, and tooling choices reflect best practice.
  • Lead the team's thinking on how AI tools and techniques can augment the analytics workflow, and act as a practical guide for marketing teams on where and how AI can meaningfully improve their ways of working.

Does this sound like you?

  • 8+ years of experience in a similar role.
  • Deep expertise across Acquisition (Paid Search, Paid Social, SEO) and Retention (CRM, Lifecycle, Churn), with the ability to connect channel‐level performance to business‐wide outcomes.
  • Proven, hands‐on experience building and deploying Marketing Mix Models (MMM) and incrementality testing frameworks (geo‐based, holdout, synthetic control) in a real business context.
  • Proficiency in applied statistical modelling, such as LTV modelling, predictive scoring and causal inference techniques.
  • Advanced Python or R for statistical analysis, modelling, and automation, with production‐quality code standards.
  • Practical experience applying AI tools to accelerate, enhance and automate analytical workflows.
  • Demonstrated experience architecting scalable data models using SQL and dbt within a modern data stack, including setting standards and reviewing others' work.
  • Exceptional ability to distil complex technical findings into clear strategic narratives for non‐technical stakeholders and senior leadership.
  • Experience working within a high‐growth SaaS or digital business with an understanding of unit economics (CAC, LTV, Payback).
  • Demonstrated experience mentoring and developing analysts including coaching on technical skills, analytical thinking and stakeholder engagement.
  • Exposure to product analytics or growth functions, with an ability to connect marketing and product data across the funnel.
  • Prior experience influencing tooling, vendor or data infrastructure decisions at an organisational level.

Why Pipedrive?

  • People‐first culture - Be part of a team that values authenticity, champions collaboration, and supports each other—no egos, just teamwork. Work alongside top talent from around the world in an inclusive space where different perspectives fuel our best ideas. Everyone is welcome.
  • Unlock potential – Push boundaries, take ownership, and experiment with the latest technologies as we enhance our AI First Vision. We empower bold ideas that drive real change.
  • We've got you – Your well‐being matters. Enjoy flexible hours, wellness perks and SWAG. Think performance‐based bonuses, 28 paid leave days, well‐being days, compassionate leave, and even paternal leave—because we take care of ourselves and our people.
  • Grow with us – Whether through mentorship, coaching, or internal mobility, we invest in helping you unlock your potential. Open, honest feedback and clear communication are at our core. We grow together through trust and accountability.
  • Packed with purpose – Help 100,000+ small and medium‐sized businesses grow and succeed while doing meaningful, customer‐driven work.

Diversity & Inclusion: Pipedrive is an equal opportunity employer. We value diversity and are committed to creating an inclusive environment for all employees. We welcome applications regardless of race, color, religion, age, gender, sexual orientation, gender identity or expression, national origin, disability, veteran status, marital or family status, or any other characteristic protected by applicable law.

Eligibility: Please note that for this position, we are only able to consider candidates who already possess the legal right to work in the UK without the need for visa sponsorship or relocation assistance.

Background Checks: Where permitted by local law and necessitated by the scope of the role (e.g., access to sensitive data), Pipedrive may conduct a pre‐employment background check. This will be handled in strict accordance with our Candidates Privacy Notice.

Principal Decision Scientist - Marketing in London employer: Rival

At Pipedrive, we pride ourselves on fostering a people-first culture that champions collaboration and authenticity, making it an exceptional place to work. As a Principal Decision Scientist - Marketing, you'll have the opportunity to lead innovative analytics initiatives while enjoying flexible hours, wellness perks, and a commitment to your professional growth through mentorship and internal mobility. Join us in our mission to empower over 100,000 businesses globally, all while being part of a diverse and inclusive team that values every voice.

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Contact Detail:

Rival Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land Principal Decision Scientist - Marketing in London

Tip Number 1

Network like a pro! Reach out to people in your industry on LinkedIn or at events. A friendly chat can lead to opportunities that aren’t even advertised yet.

Tip Number 2

Show off your skills! Create a portfolio or a personal project that highlights your expertise in data science and marketing. This gives you something tangible to discuss during interviews.

Tip Number 3

Prepare for the interview by researching Pipedrive’s values and recent projects. Tailor your answers to show how you align with their mission and how you can contribute to their goals.

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, it shows you’re genuinely interested in joining our team.

We think you need these skills to ace Principal Decision Scientist - Marketing in London

Statistical Modelling
Marketing Mix Modelling (MMM)
Incrementality Testing
Data Analysis
Python
R
SQL

Some tips for your application 🫡

Show Your Passion:When writing your application, let your enthusiasm for the role shine through! We want to see how excited you are about the opportunity to make an impact at Pipedrive. Share why this position speaks to you and how your experience aligns with our mission.

Tailor Your CV:Make sure your CV is tailored to the Principal Decision Scientist role. Highlight relevant experiences and skills that match the job description. We love seeing how your background connects to what we do, so don’t hold back on showcasing your achievements!

Craft a Compelling Cover Letter:Your cover letter is your chance to tell us your story! Use it to explain how your unique skills can contribute to our team. Be specific about your past experiences and how they relate to the responsibilities of the role. We appreciate a personal touch!

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 the role. Plus, it shows you’re serious about joining our team at Pipedrive!

How to prepare for a job interview at Rival

Know Your Data Inside Out

As a Principal Decision Scientist, you'll be expected to handle complex datasets. Make sure you brush up on your statistical modelling skills and be ready to discuss specific examples of how you've used data to drive marketing decisions. Prepare to explain your thought process behind building models like LTV prediction or churn scoring.

Showcase Your Cross-Functional Collaboration

This role involves working closely with various teams like Marketing, Finance, and Data Engineering. Be prepared to share experiences where you've successfully collaborated across departments. Highlight how you’ve influenced key business decisions through your analytical insights and how you can bring structure to ambiguous problems.

Demonstrate Your Technical Skills

Proficiency in Python or R is crucial for this position. Bring examples of your production-quality code and be ready to discuss how you've applied AI tools to enhance analytical workflows. If possible, prepare a mini-case study to showcase your technical prowess and problem-solving abilities.

Craft Compelling Narratives from Complex Findings

You’ll need to distil complex data into clear, actionable insights for non-technical stakeholders. Practice explaining your past projects in simple terms, focusing on the impact of your findings on business outcomes. This will demonstrate your ability to communicate effectively at all levels of the organisation.