Data Scientist
Hybrid
Cambridge, United Kingdom
Full Time
11-04-2025
Job Specifications
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 Data Scientist to join the Core Analytics team supporting Roku Merchandising. In this role, you will leverage data analytics to support the merchandising team to understand the business impact of placing promotional content in the Roku UI. This individual will be responsible for A/B testing, trend analysis, and dashboards and reporting of how promotional content is surfaced. The successful candidate is quantitatively driven, detail-focused, and possesses an elevated level of problem-solving expertise.
What you'll be doing
Develop and maintain dashboards, reports, and data visualizations to monitor key metrics for operational and systems health
Analyze structured and unstructured data and communicate insights to help stakeholders solve business problems, identify trends and make data-driven decisions
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 AB tests
Perform exploratory data analysis on emerging trends and execute advanced analysis across the Roku Platform
Collaborate with the Program Management and Engineering team to proactively seek and incorporate feedback
We're excited if you have
3+ 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)
3+ years of experience in consumer product, digital media or entertainment industries
Expertise in SQL, SAS, R, Python or other programming language to query data and perform analysis
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
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.
About the Company
With the #1 platform for streaming television in the U.S., Roku wants to revolutionize the way the world watches TV. Our Roku-branded TVs, Roku TV models, Smart Home system, streaming players, audio equipment, and the purpose-built operating system that powers it all can turn any home into a home theater, with seamless integration of hardware and software. Our commitment to our users extends to our brand studio, which creates innovative Roku Originals exclusively for The Roku Channel, a free channel that reaches approximat... Know more
Related Jobs
- Company Name
- CooperVision
- Job Title
- Junior Data Scientist
- Job Description
- Job Description Job title: Junior Data Scientist Department: Finance Location: Fareham/Southampton, UK (onsite) Working hours: Monday – Friday, 8:30-4:30 A brighter future awaits you CooperVision is one of the world’s leading manufacturers of soft contact lenses with a presence in over 100 countries. Being part of CooperVision means helping improve the way people see each day. It’s more than making contact lenses, it’s about giving lens wearers freedom and confidence to move about their daily lives. We’re all about bright futures – for our people and those who wear our contact lenses. Job summary – What to expect: As Junior Data Scientist, you'll play a key role in supporting data science initiatives that enhance CooperVision's commercial business strategy. You'll report to a team in the United States and you'll focus on analysing large datasets, developing data-driven insights, and assisting in the deployment of machine learning models. The Data Scientist will work closely with global and regional teams to support business objectives through data exploration, model development, and visualization. Responsibilities: Assist in analysing CVI’s structured and unstructured data to derive actionable insights that drive strategic business decisions. Support the development and deployment of data science models, applying basic machine learning techniques to commercial use cases under the guidance of senior team members Strong problem-solving skills with a curiosity to explore and interpret complex datasets. Collaborate globally and regionally with cross-functional teams, leveraging data insights to build strategic partnerships and drive results. Provide expertise in advanced data science techniques, including machine learning, optimization, simulation, regression, decision trees, neural networks, and clustering for commercial use cases. Ability to work collaboratively with cross-functional teams and communicate technical concepts to non-technical stakeholders. Utilize predictive and prescriptive analytics to enable proactive decision-making and optimization across the organization. Foster innovation and continuous improvement by integrating new data sources and advanced analytics to enhance business processes and decision-making frameworks. Willingness to learn and apply new data science techniques to business challenges. A Full Job Description Is Available Upon Request. About you: We’re looking for someone who has had experience of analytics/data modelling. This is an excellent opportunity for a motivated individual looking to grow their expertise in data science and contribute to impactful business solutions, so whether you have 6 months or 2 years’ experience, we’d be keen to speak with you. You would worked in an environment where you needed to pull and analyse large and complex datasets using SQL, as well as confidently being able to use data visualisation tools such as Tableau or Power BI. As well as the technical skills and understanding, we are also looking for a strong communicator as you will be expected to tell the story of what the data is showing to deliver clear insights to the business which will help support business decisions. Given this role will be based in the UK and will report to a team in the US, we will be looking for someone who can work autonomously and be comfortable working as part of a remote team as well as working on your own. What we offer: You’ll receive competitive compensation and a fantastic benefits package including; 25 days holiday pension scheme, healthcare cover, life assurance, access to our Wellness Platform to support you in mental health and wellbeing, a discounted contact lens scheme, and much more! We are committed to our employees’ personal and professional development and offer extensive training to support your career growth and help every individual to reach their full potential. To help us achieve our goals, we’ll give you everything you need to help you achieve yours. We also provide access to LinkedIn Learning to help you develop in you career and grow with CooperVision What you can expect: As a CooperVision employee, you’ll be welcomed into a diverse and progressive global business. We appreciate how important fostering a diverse and inclusive culture is and how different perspectives add value and contribute to our success. With our CooperPride, African Descent, Woman’s Impact Network and Mind Body and Wellbeing Employee Resource Groups, we offer opportunities for employees to learn and grow within an inclusive and safe space. If you like what you see, take the first step towards your Brighter Future and apply today! All suitably qualified applicants will receive equal consideration and opportunities from CooperVision. Please view our careers page at https://hcjy.fa.us2.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1 to view all other opportunities. #ONSITE
- Company Name
- Rentokil Initial Careers
- Job Title
- AI Engineer
- Job Description
- The AI Engineer is a key role in the Data Platform Portfolio team, building the data platform, driving value from data across the business. With strong technical skills and business acumen to help turn millions of potential data points into actionable insights that can drive product improvements, make our customer acquisition more efficient, improve our customer retention rates, and drive operating efficiencies across the business. The primary goals of the team are: To build and run a data platform which can create and deliver analytics to colleagues and deliver regulatory reporting Ingest and transform data from multiple systems, modelling data and engineering data marts to create reusable data assets To create a self service BI platform, enabling colleagues across Rentokil Initial to get value from data To build AI models and a data science platform that enables Rentokil to derive huge value from AI, through machine learning to gen AI and beyond Key tasks: AI Data Engineering: Design, build, operate, and deploy real-time data pipelines at scale using AI techniques and best practices. Support Rentokil's AI R&D efforts by applying advanced data warehousing, data science, and data engineering technologies. Aim for automation to enable a faster time-to-market and better reusability of new AI initiatives Collaboration: Work in tandem with the AI team to collect, create, curate, and maintain high-quality AI datasets. Ensure alignment of data architecture and data models across different products and platforms Hands-on Involvement: Engage in data engineering tasks as required to support the team and the projects. Conduct and own external data collection efforts - including state-of-the-art prompt engineering techniques - to support the construction of state-of-the-art AI models The role involves developing, fine-tuning, and optimising large language models (LLMs) for corporate use cases, such as querying structured data or automating analytics workflows Designing and refining prompts to improve LLM performance in structured data querying and other business-specific applications Integrate LLMs with structured data systems (e.g., SQL databases, BigQuery, GCS) to enable natural language querying and advanced analytics Implementing MLOps/LLMOps pipelines for deploying LLMs in production, monitoring their performance, and ensuring scalability Evaluating LLM performance, optimising hyperparameters, and ensuring alignment with business objectives Develop and maintain data integration processes to ensure data quality and accuracy in the data platform Requirements Data Engineering and Preprocessing Extensive experience in data collection, preprocessing, and integration from various sources, ensuring accuracy, consistency, and handling missing values or outliers Proficient in designing and implementing ELT pipelines using tools like dbt, with strong knowledge of data warehousing, data lake concepts, and data pipeline optimization Skilled in SQL for data manipulation, analysis, query optimisation, and database design Artificial Intelligence and Machine Learning Understanding of machine learning algorithms (classification, regression, clustering) and their practical applications Hands-on experience with natural language processing (NLP) techniques and developing custom solutions using large language models (LLMs) for business use cases Proficient in Python-based AI/ML development using frameworks like TensorFlow, PyTorch, and Scikit-learn LLM Orchestration and Development Expertise in building LLM-powered applications using frameworks such as LangChain and LangGraph, including prompt engineering, fine-tuning, and workflow orchestration Skilled in integrating LLMs with structured data systems (e.g., SQL databases, BigQuery) to enable natural language querying and advanced analytics MLOps/LLMOps Proficient in designing and implementing MLOps/LLMOps pipelines for model deployment, monitoring, version control, and CI/CD workflows Strong understanding of model performance evaluation, hyperparameter tuning, and maintenance using tools like Vertex AI Pipelines Cloud Computing (Google Cloud Platform - GCP Preferred) Hands-on experience with GCP services such as Vertex AI, BigQuery, Cloud SQL, and Google Cloud Storage (GCS) for AI/ML applications Skilled in containerization (Docker) and orchestration (Kubernetes, GKE), with a solid understanding of cloud security best practices Benefits Competitive salary and bonus scheme Hybrid working Rentokil Initial Reward Scheme 23 days holiday, plus 8 bank holidays Employee Assistance Programme Death in service benefit Healthcare Free parking At Rentokil Initial, our customers and colleagues represent diverse backgrounds and experiences. We take pride in being an equal opportunity employer, actively encouraging applications from individuals from all walks of life. Our belief is that everyone irrespective of age, gender, gender identity, gender expression, ethnicity, sexual orientation, disabilities, religion, or beliefs, has the potential to thrive and contribute. We embrace the differences that make each of our colleagues unique, fostering an inclusive environment where everyone can be their authentic selves and feel a sense of belonging. To ensure that your journey with us is accessible if you have any individual requirements we invite you to communicate any specific needs or preferences you may have during any stage of the recruitment process. Our team is available to support you; feel free to reach out to (joanna.sharpe@rentokil-initial.com) if you need anything Be Yourself in Your Application! At Rentokil Initial, we value innovation, but we want to see the real you! While AI can help with structure and grammar, make sure your application shows your true passion and understanding of the role. A personal touch will help you stand out.
- Company Name
- Sling Money
- Job Title
- Data Analyst Lead
- Job Description
- About Us Sling Money allows anyone in 140+ countries to send money to each other instantly, with just a couple of taps. You don’t need to know anything about the recipient’s bank account, and you don’t have to worry about foreign exchange. We believe all of this should be possible at low or no cost and at the moment, Sling Money is completely free. We’re building the world’s first billion-user financial app, and we’d love your help. About The Role As Sling Money’s first Data Scientist, you’ll play a foundational role in shaping the way we understand our users, our product, and our growth. This is a rare opportunity to build the data function from the ground up at a fast-growing fintech. You’ll work across product, marketing, and business teams to uncover insights, design experiments, and power the decision-making that will drive us to our next stage of growth. You’ll combine deep technical expertise with strong storytelling to connect the dots between our data and our goals. From analyzing user behavior and improving the customer journey, to building the systems that measure and forecast growth, you’ll own the data defining success. This role has high ownership and impact. You’ll work closely with engineers, designers, marketers, and leadership to build a culture of data-driven decision-making at Sling Money. Key Responsibilities Shape Product Development: Use data to help prioritize what we build, identify opportunities to improve the user experience, and measure the impact of new features. Accelerate Growth: Partner with marketing and product teams to design and evaluate experiments, optimize acquisition channels, and identify the levers that drive organic growth, engagement, and retention. Foster a Data Culture: Help embed analytics into every part of the organization, empowering teams to make smarter decisions with data. Build & Scale Systems: Build and operate our data pipeline from Postgres to BigQuery. Define our core data models and build upon them to understand our product and user behavior as we scale. Solve Hard Problems: Analyze complex data sets using statistical methods, quantitative analysis to answer our biggest business and product questions. Tell Data-Driven Stories: Translate your insights into clear, actionable recommendations that influence product strategy, marketing investments, and business decisions. About You Experience: 8+ years of experience in data science, analytics, or a related field, ideally in a fast-paced startup or technology company. Technical Skills: Proficiency in SQL and Python. Strong statistical and experimental design expertise. Experience with tools like BigQuery, Fivetran, and DBT is desired. Collaboration: You thrive in cross-functional teams, working with engineers, marketers, designers, and leadership to drive impact together. Product & Marketing Mindset: You can connect the dots between data and product strategy, and you have experience analyzing user behavior, growth funnels, and marketing performance. Curiosity & Creativity: You’re excited to tackle ambiguous problems, explore new hypotheses, and find answers in the data. Communication: You don’t just analyze data—you know how to tell compelling stories and influence decisions with your insights. Growth Mentality: You’re focused on learning and iterating every day. You get things wrong, but you never stop improving. Nice to have Experience in consumer fintech, payments, or social apps. Experience at a Series A startup. Ability to work from our London office two days a week. Why join us? High Impact: You’ll shape the foundation of Sling Money’s data function and influence the trajectory of a global fintech. Big Opportunity: We’re solving a massive, global problem and we’re just getting started. Collaborative Team: Work with ambitious, curious, and kind teammates who want to change how the world moves money. Growth Potential: As one of our first data hires, there’s huge scope to grow your role as we scale. Compensation, Perks & Benefits Competitive salary and equity package. Free lunch in the office and flexible working arrangements. Professional development opportunities, team offsites, and events. The chance to be part of a fast-growing, mission-driven startup.
- Company Name
- HistologiX
- Job Title
- Data Scientist/Bioinformatician - Digital Pathology Image Analysis
- Job Description
- At HistologiX we support our clients’ cutting-edge research, helping innovative biopharmaceuticals, monoclonal antibodies, biomarkers and immuno-oncology treatments gain regulatory approval. We are a niche GLP and GCP compliant laboratory with our experienced scientific team providing specialist immunohistochemistry (IHC), histology, digital pathology and image analysis solutions, working with pharmaceutical and biotechnology companies worldwide. Due to continued growth, we have an exciting opportunity for you to strengthen our Image Analysis group and support the increasing demand for digital pathology projects. Are you proficient in data manipulation, statistical approaches and deployment of relevant software e.g. R and RStudio? Do you have a grasp of programming languages such as Python? Are you familiar with statistical analysis and data visualization tools, ideally GraphPad Prism? Do you have knowledge of image analysis philosophies and techniques? Experience with computational pathology image analysis tools e.g. Visiopharm, HALO or QuPath is desirable. Do you have a degree or higher qualification in Data Science, Bioinformatics, Computer Science or a related Life Science field? Are you passionate about bioinformatics and eager to contribute to the advancement of image-based research in a dynamic and growing organization? If yes, then this could be your next career move. If successful, you will play a key role in advancing digital pathology solutions by developing and applying computational methods to analyse images, generating valuable insights to further drug development and biomarker research. You will join a group of researchers working across the fields of pathology, machine learning, image analysis, bioinformatics and spatial biology. Responsibilities and Duties A client focussed approach with strong scientific expertise is key to our business. Your main duties and responsibilities will be: Coordinate a range of complex, custom projects successfully, whilst ensuring on time and in budget completion in line with client requirements. Ability to work to defined timelines. Support the development of deep learning-based algorithms for tissue segmentation and biomarker quantification for analysis of brightfield and fluorescent images. Conduct spatial analyses of tissue features and cell phenotypes to extract biologically relevant insights. Perform data manipulation, visualisation and statistical analysis. Analyse and scrutinise data outputs. Interpret and present data in a meaningful way to internal teams and external clients. Collaborate with wet lab scientists and image analysis scientists to optimise image analysis pipelines, processes and SOPs. Uphold company standards for quality control and reproducibility in digital pathology analyses. Display strong administrative and organisational skills with high attention to detail. Diligent completion of study documentation including plans, forms, worksheets and reports. Maximise output using effective forward planning and time management, whilst maintaining a work level of the highest quality. Possess strong administrative and organisational skills to work across a fast-paced organisation. The role will be based in BioCity Nottingham, within regular business hours. Applicants must have right to work in the UK. If this sounds like a challenge you would be interested in, then please submit your CV and covering letter to diane.brooks@histologix.com or give us a call on 01159124460 for an informal discussion in the first instance. Closing date for applications is 31st May 2025.