Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Senior Data Scientist

Roku
Manchester
2 months ago
Create job alert

Roku Greater Manchester, England, United Kingdom

Senior Data Scientist

Roku Greater Manchester, England, United Kingdom

Get AI-powered advice on this job and more exclusive features.

Teamwork makes the stream work.
Roku is changing how the world watches TV

Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers.


From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines.




About the Team

The Core Analytics Team is a centralized function dedicated to providing data-driven insights to drive business and product success. We work closely with our Product and Engineering teams to deliver exceptional experiences to our customers while maximizing the value proposition for the business.


This role can be based in either Cambridge or Manchester, with an on-site requirement of three days per week at the designated office. This is an essential aspect of the position.



About the Role

Roku is seeking aSenior Data Scientistto join the Core Analytics team supporting CoreOS engineering team. In this role, you will harness data analytics to enhance the user experience, improve voice initiatives, and deliver actionable insights that drive team efficiency and safeguard our users. Working closely with CoreOS engineering team, you’ll help identify opportunities to increase scalability and automation to the existing processes, drive adoption of various productivity tools, optimize areas and systems that require manual touches.


This role offers a dynamic opportunity to investigate, design, and implement solutions to track, monitor, and optimize our ecosystem. The ideal candidate is detail-oriented, highly analytical, and passionate about solving complex challenges.



What You’ll Be Doing:


  • Designing and maintaining dashboards, reports, and data visualizations to monitor key metrics for operational and system performance.
  • Analyzing both structured and unstructured data to uncover insights, identify trends, and support stakeholders in solving business challenges and making informed decisions.
  • Building and maintaining data pipelines to enable automation, validation, and reporting processes.
  • Collaborating with stakeholders to align data science initiatives with organizational objectives, including designing and executing A/B tests.
  • Developing analytical tools such as real-time alerts and models to identify success drivers.
  • Conducting exploratory data analysis to understand emerging trends and performing advanced analyses across the Roku platform.
  • Partnering with Program Management and Engineering teams to incorporate feedback and refine solutions.
  • Providing leadership with actionable insights on the performance of various initiatives and identifying untapped opportunities.



We're excited if you have:


  • Extensive experience in data science and analytics, with a strong foundation in a quantitative field (e.g., Statistics, Data Science, Mathematics, Economics, Engineering, or Computer Science).
  • A proven track record in consumer products, digital media, or entertainment industries.
  • Proficiency in SQL, R, Python, or other programming languages for querying and analyzing data.
  • Hands-on expertise with visualization tools such as Tableau or Looker.
  • A proactive approach to problem-solving, with a bias toward action in high-energy, fast-paced environments.
  • Experience in A/B testing, statistical modeling, and forecasting, with a demonstrated ability to translate complex findings into practical solutions.


If you’re passionate about leveraging data to create meaningful impact, thrive in collaborative environments, and want to be part of a team shaping the future of voice products, we’d love to hear from you.







Benefits

Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Our employees can take time off work for vacation and other personal reasons to balance their evolving work and life needs. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter.



The Roku Culture

Roku is a great place for people who want to work in a fast-paced environment where everyone is focused on the company's success rather than their own. We try to surround ourselves with people who are great at their jobs, who are easy to work with, and who keep their egos in check. We appreciate a sense of humor. We believe a fewer number of very talented folks can do more for less cost than a larger number of less talented teams. We're independent thinkers with big ideas who act boldly, move fast and accomplish extraordinary things through collaboration and trust. In short, at Roku you'll be part of a company that's changing how the world watches TV.


We have a unique culture that we are proud of. We think of ourselves primarily as problem-solvers, which itself is a two-part idea. We come up with the solution, but the solution isn't real until it is built and delivered to the customer. That penchant for action gives us a pragmatic approach to innovation, one that has served us well since 2002.


To learn more about Roku, our global footprint, and how we've grown, visit https://www.weareroku.com/factsheet.


By providing your information, you acknowledge that you have read our Applicant Privacy Notice and authorize Roku to process your data subject to those terms.

Seniority level

  • Seniority levelMid-Senior level

Employment type

  • Employment typeFull-time

Job function

  • Job functionEngineering and Information Technology
  • IndustriesSoftware Development

Referrals increase your chances of interviewing at Roku by 2x

Sign in to set job alerts for “Senior Data Scientist” roles.Internal Audit Senior Advisor - IT/data analyst

Manchester, England, United Kingdom 1 day ago

Manchester, England, United Kingdom 2 weeks ago

Altrincham, England, United Kingdom 3 weeks ago

Manchester, England, United Kingdom 1 hour ago

Greater Manchester, England, United Kingdom 2 weeks ago

Senior Data Scientist (Data & Insights Lead)

Manchester, England, United Kingdom 2 days ago

Manchester, England, United Kingdom 1 month ago

Salford, England, United Kingdom 18 hours ago

Data Scientist (GenAI - Customer Identity)

Manchester, England, United Kingdom 2 weeks ago

Senior Machine Learning Scientist (UK Remote)

Manchester, England, United Kingdom 18 hours ago

Greater Manchester, England, United Kingdom 1 week ago

Manchester, England, United Kingdom 2 weeks ago

Manchester, England, United Kingdom 4 days ago

Manchester, England, United Kingdom 1 week ago

Manchester, England, United Kingdom 1 week ago

Senior Data Scientist - Manchester (Hybrid)

Manchester, England, United Kingdom $52,000.00-$71,000.00 1 month ago

Manchester, England, United Kingdom 3 days ago

Data Scientist (Predictive Analytics Specialist)

Manchester, England, United Kingdom 2 months ago

Research Associate OR Research Fellow In Machine Learning

Manchester, England, United Kingdom 1 week ago

Manchester, England, United Kingdom 3 weeks ago

Manchester, England, United Kingdom 1 week ago

Lead/ Staff Data Scientist (Bangkok based, relocation provided)

Manchester, England, United Kingdom 1 week ago

Manchester, England, United Kingdom 2 weeks ago

Lead DS (Data Scientist) Bangkok based, Relocation provided

Manchester, England, United Kingdom 3 days ago

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.


#J-18808-Ljbffr

Related Jobs

View all jobs

Senior Data Scientist - Financial Services - Outside IR35

Senior Data Scientists

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Jobs

Top 10 Skills in Machine Learning According to LinkedIn & Indeed Job Postings

Machine learning (ML) is at the forefront of innovation, powering systems in finance, healthcare, retail, logistics, and beyond in the UK. As organisations leverage ML for predictive analytics, automation, and intelligent systems, demand for skilled practitioners continues to grow. So, which skills are most in demand? Drawing on insights from LinkedIn and Indeed, this article outlines the Top 10 machine learning skills UK employers are looking for in 2025. You'll learn how to demonstrate these capabilities through your CV, interviews, and real-world projects.

Careers

The Future of Machine Learning Jobs: Careers That Don’t Exist Yet

Machine learning (ML) has become one of the most powerful forces reshaping the modern world. From voice assistants and recommendation engines to fraud detection and medical imaging, it underpins countless applications. ML is no longer confined to research labs—it powers business models, public services, and consumer technologies across the globe. In the UK, demand for machine learning professionals has risen dramatically. Organisations in finance, retail, healthcare, and defence are embedding ML into their operations. Start-ups in Cambridge, London, and Edinburgh are pioneering innovations, while government-backed initiatives aim to position the UK as a global AI leader. Salaries for ML engineers and researchers are among the highest in the tech sector. Yet despite its current importance, machine learning is only at the beginning of its journey. Advances in generative AI, quantum computing, robotics, and ethical governance will reshape the profession. Many of the most vital machine learning jobs of the next two decades don’t exist today. This article explores why new careers will emerge, the roles likely to appear, how today’s roles will evolve, why the UK is well positioned, and how professionals can prepare now.

Jobs

Seasonal Hiring Peaks for Machine Learning Jobs: The Best Months to Apply & Why

The UK's machine learning sector has evolved into one of Europe's most intellectually stimulating and financially rewarding technology markets, with roles spanning from junior ML engineers to principal machine learning scientists and heads of artificial intelligence research. With machine learning positions commanding salaries from £32,000 for graduate ML engineers to £160,000+ for senior principal scientists, understanding when organisations actively recruit can dramatically accelerate your career progression in this pioneering and rapidly evolving field. Unlike traditional software engineering roles, machine learning hiring follows distinct patterns influenced by AI research cycles, model development timelines, and algorithmic innovation schedules. The sector's unique combination of mathematical rigour, computational complexity, and real-world application requirements creates predictable hiring windows that strategic professionals can leverage to advance their careers in developing tomorrow's intelligent systems. This comprehensive guide explores the optimal timing for machine learning job applications in the UK, examining how enterprise AI strategies, academic research cycles, and deep learning initiatives influence recruitment patterns, and why strategic timing can determine whether you join a groundbreaking AI research team or miss the opportunity to develop the next generation of machine learning algorithms.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.