Data Scientist Jobs in Manchester.
All active Data Scientist roles based in Manchester.
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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 role
Roku is looking for a Sr. Data scientist to join the Core Analytics team supporting our Viewer Product team. In this role, you will leverage data analytics to support and improve our Live product. You will own end-to-end analytics that shape how viewers discover, engage with, and return to Live experiences on Roku. You will work closely with product management and engineering to identify opportunities to create new features, drive their adoption, and generate value for Roku. This individual will investigate and develop solutions to track, monitor and improve our ecosystem. The successful candidate is quantitatively driven, detail-focused, and possesses an elevated level of problem-solving expertise.
What you'll be doing
- Analyze structured and unstructured data and communicate insights to help stakeholders solve business problems, identify trends and make data-driven decisions
- Advise on key product development strategy decisions to drive our Live product experience
- Develop and maintain dashboards, reports, and data visualizations to monitor key metrics for operational and systems health
- Develop necessary data pipelines to power automation, validation and reporting
- Collaborate with stakeholders to align data science initiatives with organizational goals and strategy design and execute A/B tests
- Perform exploratory data analysis on emerging trends and execute advanced analysis across the Roku Platform
- Providing feedback directly to leadership on performance of various initiatives and untapped opportunities
We're excited if you have
- 4+ years of work experience with a bachelor's degree or master's degree in quantitative field (e.g., Statistics, Business Analytics, Data Science, Mathematics, Economics, Engineering or Computer Science)
- 4+ years of experience in product analytics. Experience with platforms in the media and entertainment industry preferred
- Expertise in SQL, SAS, R, Python or other programming language to query data and perform analysis
- Demonstrated ability to influence quantitatively meaningful business outcomes
- Hands on experience with visualization tools like Tableau or Looker
- Have a bias towards action in resolving issues and operate in a high-energy, fast-paced environment
- Hands on experience in A/B testing and statistical modeling/forecasting
This role can be based in either Cambridge, or Manchester. You are required to work in the office for 4 days per week, this is the core requirement of the role
#LI-ST1
Our Hybrid Work Approach
Roku fosters an inclusive and collaborative environment where teams work in the office Monday through Thursday. Fridays are flexible for remote work except for employees whose roles are required to be in the office five days a week or employees who are in offices with a five day in office policy.
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). Employees are supported in taking time off, in accordance with local leave policies and other personal needs to support 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.
Accommodations
Roku welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law. If you require reasonable accommodation at any point in the hiring process, please direct your inquiries to EmployeeRelations@Roku.com.
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 want Roku to contact you about job roles, that you have read Roku's Applicant Privacy Notice, and understand that Roku will use your information as described in that notice. If you do not wish to receive any communications from Roku regarding this role or similar roles in the future, you may unsubscribe at any time by emailing WorkforcePrivacy@Roku.com.
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dunnhumby is the global leader in Customer Data Science, partnering with the world’s most ambitious retailers and brands to put the customer at the heart of every decision. We combine deep insight, advanced technology, and close collaboration to help our clients grow, innovate, and deliver measurable value for their customers.
dunnhumby employs nearly 2,500 experts in offices throughout Europe, Asia, Africa, and the Americas working for transformative, iconic brands such as Tesco, Coca-Cola, Nestlé, Unilever and Metro.
We’re looking for a talented Senior Research Data Scientist who expects more from their career. It’s a chance to extend and improve dunnhumby’s world class science capabilities. It’s an opportunity to work with a market-leading business to explore new opportunities for us and influence global retailers and suppliers.
Joining our team, you’ll work with world class and passionate people to apply statistical techniques and marketing science to business problems, especially demand forecasting, clustering, and measurement. You’ll support Price and Promotion experts by developing mathematical models, creative methods to address new and complex problems and perform data analysis and model validation. You will also develop innovative solutions for product support and insight using generative AI. You’ll create dunnhumby science solutions that can be delivered across our client and engineered into science modules. You’ll have the opportunity to present results to a variety of internal stakeholders.
What you'll be doing:
- Create new science-based solutions that can be captured as science modules and applied across clients, with support from senior team members.
- Pick up new machine learning approaches, such as regularised regression, clustering or tree-based ensembles, graph-based approaches, natural language processing and neural network techniques and apply them on client data.
- Perform exploratory data analysis to characterise and visualise datasets
- Extend and develop programming skills, in languages such as Python and Spark, to develop efficient science code for science modules.
- Help identify new opportunities within the Data Science space for future dunnhumby solutions.
- Implement advice from colleagues to resolve challenges.
- Follow Quality Assurance processes, ways of working and meet coding standards.
- Ensure smooth running of your projects, working with senior team members for direction.
- Build strong relationships within the team and with internal stakeholders, ensuring clear and effective communication.
Who you’ll get to work with:
- Applied and Research Data Scientist teams
- Data Science Engineering teams
- Product and Client teams where required
What we expect from you:
- Master’s degree or equivalent in Computer Science, Artificial Intelligence, Machine Learning, Statistics, Applied Statistics, Physics, Engineering or related field.
- Experience with machine learning techniques such as regularised regression, clustering or tree-based ensembles, and the ability to implement them through libraries.
- Experience with Python programming, and handling large data volumes with modern data processing tools, e.g. by using Hadoop / Spark / SQL
- Experience with or ability to quickly learn open-source software including machine learning packages, such as Pandas and scikit-learn, along with data visualisation technologies.
- A willingness to present your work to both technical and non-technical audience and to contribute to the wider data science community.
A plus if you also have:
- PhD in Computer Science, Artificial Intelligence, Machine Learning, Statistics, Applied Statistics, Physics, Engineering or related field.
- Experience in retail sector.
What you can expect from us
We won’t just meet your expectations. We’ll defy them. So you’ll enjoy the comprehensive rewards package you’d expect from a leading technology company. But also, a degree of personal flexibility you might not expect. Plus, thoughtful perks, like flexible working hours and your birthday off.
You’ll also benefit from an investment in cutting-edge technology that reflects our global ambition. But with a nimble, small-business feel that gives you the freedom to play, experiment and learn.
And we don’t just talk about diversity and inclusion. We live it every day – with thriving networks including dh Gender Equality Network, dh Proud, dh Family, dh One, dh Enabled and dh Thrive as the living proof. We want everyone to have the opportunity to shine and perform at your best throughout our recruitment process. Please let us know how we can make this process work best for you.
Our approach to Flexible Working
At dunnhumby, we value and respect difference and are committed to building an inclusive culture by creating an environment where you can balance a successful career with your commitments and interests outside of work.
We believe that you will do your best at work if you have a work / life balance. Some roles lend themselves to flexible options more than others, so if this is important to you please raise this with your recruiter, as we are open to discussing agile working opportunities during the hiring process.
For further information about how we collect and use your personal information please see our Privacy Notice which can be found (here)
Ready to apply?
Apply to dunnhumby