Manager, Data & Media Science

Manager, Data & Media Science

Full-Time 108000 - 120000 £ / year (est.) Home office (partial)
twentysix

At a Glance

  • Tasks: Lead data science for media campaigns, optimising client advertising strategies.
  • Company: Join a forward-thinking team at Known, where innovation meets collaboration.
  • Benefits: Enjoy unlimited PTO, 401(k) matching, annual bonuses, and generous medical plans.
  • Other info: Dynamic environment with a commitment to continuous learning and growth.
  • Why this job: Make a real impact in advertising with cutting-edge analytics and machine learning.
  • Qualifications: 3+ years in quantitative analysis; experience with Python, SQL, and client communication.

The predicted salary is between 108000 - 120000 £ per year.

Known’s Media Science team uses advanced analytics, machine learning, statistics, and algorithms to plan and optimize advertising dollars. We partner with our clients to translate their business goals into meaningful metrics, and buy media across all channels to drive those target outcomes.

We are looking for a Manager, Data & Media Science to join the team and work alongside strategists, analysts, data scientists, and software engineers. In this role, you will lead the data science arm of our media campaigns, owning the relationship with the client when it comes to optimization and data. You will be in a primarily client‑facing position with heavy project ownership and emphasis on communicating with executive stakeholders.

What you’ll do:

  • Serve as the primary client point of contact on campaign optimization and data.
  • Delight our clients with meaningful analyses, compelling stories, and beautiful slides.
  • Own analytics, science, and optimization for our media campaigns.
  • Work with other data analysts & scientists to deliver rigorous measurement, consistent campaign performance, and insightful reporting.
  • Consult with agency and client leadership to set measurement frameworks, design experiments (A/B, incrementality, geo‑testing), and evaluate campaign lift and ROI across channels.
  • Stay current on industry trends in digital media, analytics, and privacy regulations.

Who you are and what you have:

  • A degree from a well‑regarded college or university, preferably a Masters or PhD. STEM degrees are also preferred.
  • 3+ years of hands‑on experience doing quantitative analysis, modeling, optimization and/or statistics. Experience using Python and SQL.
  • 2+ years of experience directly communicating with senior stakeholders, managing relationships, and presenting decks to a variety of audiences, all on technical subjects related to the analytics, science, and application of data.
  • A desire to work on advertising challenges that require flexibility in approach – everything from data strategy, on‑the‑fly analytics, statistics, machine learning, and algorithms.
  • An ability to strategically translate business challenges into quantitative problems, and solve them by whatever means are most appropriate and effective, which may not always be strict machine learning.
  • An eagerness to learn foundational knowledge and skills rapidly.
  • A commitment to managing the quality & accuracy of analytics, ensuring high standards with your and others’ work.
  • Experience across multiple digital (e.g., social, programmatic) and/or traditional (e.g., linear TV, OOH) media channels.
  • Familiarity with major ad serving platforms (ex: Google Ad Manager, DV360, The Trade Desk).
  • Competence with campaign setup parameters, including: targeting, audience segmentation, tracking, attribution methodologies (multi‑touch, last‑click), and key digital metrics (impressions, clicks, conversions, viewability, etc.).
  • Experience with analytics and reporting platforms (ex: Google Analytics, Adobe Analytics), attribution and measurement systems (ex: CM360, Videoamp), and deriving actionable insights for optimization.
  • Experience with local marketing or retail media is a plus.

Some of our perks:

  • Unlimited paid time off.
  • 401(k) with company matching and no vesting period.
  • Annual bonuses.
  • Generous medical plan.
  • Paid parental leave.

One last thing to ask yourself:

Would I be a good fit for Known? Known values:

  • We are one team.
  • We see the good.
  • We never stop learning.
  • There's always a better way.

Known is an equal opportunity employer and does not discriminate against employees or qualified job applicants on the basis of race, color, sex, age, national origin, religion, sexual orientation, gender identity and/or expression, status as a veteran, and basis of disability or any other federal, state or locally protected class.

Base salary: $135K - $150K. Salary range posted in compliance with state and municipal pay transparency laws.

Manager, Data & Media Science employer: twentysix

Known is an exceptional employer that fosters a collaborative and innovative work culture, where employees are encouraged to learn and grow. With generous benefits such as unlimited paid time off, a robust 401(k) plan with company matching, and a commitment to employee well-being, we empower our team members to thrive both personally and professionally. Located in a vibrant area, our office provides a dynamic environment for those passionate about data science and media optimization, making it an ideal place for meaningful and rewarding employment.

twentysix

Contact Details:

twentysix Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Manager, Data & Media Science

Tip Number 1

Network like a pro! Reach out to people in the industry, attend events, and connect with potential colleagues on LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.

Tip Number 2

Prepare for those interviews by practising your storytelling skills. We want you to be able to share your experiences in a way that highlights your achievements and how they relate to the role. Remember, it’s all about making a connection with your interviewers!

Tip Number 3

Show off your analytical skills during interviews! Bring examples of your past work, especially any data-driven projects or campaigns you've managed. We love seeing how you’ve used data to drive results, so don’t hold back!

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’re always looking for passionate individuals who align with our values, so make sure to showcase your enthusiasm!

We think you need these skills to ace Manager, Data & Media Science

Advanced Analytics
Machine Learning
Statistics
Algorithms
Quantitative Analysis
Python
SQL

Some tips for your application 🫡

Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Manager, Data & Media Science role. Highlight your quantitative analysis, client communication, and any relevant technical skills like Python and SQL.

Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about data science in media. Share specific examples of how you've optimised campaigns or solved complex problems, and don’t forget to show your enthusiasm for working with clients!

Showcase Your Projects:If you’ve worked on any relevant projects, whether in a professional setting or as personal endeavours, include them! We love seeing how you’ve applied your skills in real-world scenarios, especially if they relate to advertising challenges.

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 keen on joining our team at StudySmarter!

How to prepare for a job interview at twentysix

Know Your Data Inside Out

Make sure you’re well-versed in the data science techniques relevant to the role. Brush up on your Python and SQL skills, and be ready to discuss how you've used them in past projects. Prepare examples of how you've optimised campaigns using data analytics.

Master the Art of Storytelling

Since you'll be presenting analyses to clients and stakeholders, practice turning complex data into compelling narratives. Create a few slides that showcase your ability to communicate insights clearly and effectively. Remember, it’s not just about the numbers; it’s about the story they tell.

Understand the Client's Business

Research the company and its clients thoroughly. Understand their business goals and how your role can help achieve them. Be prepared to discuss how you would approach campaign optimisation based on their specific needs and challenges.

Stay Current with Industry Trends

Familiarise yourself with the latest trends in digital media and analytics. Be ready to discuss how these trends could impact the strategies you would implement. Showing that you’re proactive about learning will impress your interviewers and demonstrate your commitment to the field.