At a Glance
- Tasks: Lead the design and deployment of innovative personalization algorithms that enhance customer experiences.
- Company: Join a fast-growing tech team at On, focused on creativity and collaboration.
- Benefits: Enjoy a supportive environment with opportunities for personal growth and well-being.
- Other info: Work in vibrant London or Zürich, surrounded by a culture of innovation and teamwork.
- Why this job: Make a real impact by driving customer-centric solutions in a dynamic, innovative setting.
- Qualifications: 10+ years in data science with expertise in machine learning and personalization engines.
The predicted salary is between 63000 - 77000 £ per year.
As a Principal Data Scientist specializing in Personalization and Customer Algorithms, your mission is to set the strategic direction for customer modeling across On.
You will lead high-impact initiatives to architect, train, and deploy personalization algorithms that deliver direct, measurable impact to our business and customers.
Operating at the intersection of technology, product management, and commercial strategy, you will simplify technical complexity, navigate an evolving technology landscape, and partner with key product and technology partners to ensure we build algorithms that solve the right problems for our global customer base.
- Your Mission
- Chart the vision for personalization and customer-level algorithms, ensuring all projects align seamlessly with On’s broader commercial goals and north star tech strategy.
- Lead complex initiatives to design, train, and deploy batch and real-time machine learning models into well governed production environments.
- Partner closely with Product Management and external Tech Partnerships to deeply understand core business challenges and design algorithms that directly solve high-impact customer needs.
- Focus relentlessly on driving quantifiable business outcomes and customer value across every touchpoint, from web and app to personalized customer messaging.
- Evaluate how we adopt and integrate changing commercial technologies and partner platforms.
- Break down complex data science architectures and machine learning concepts to bring cross-functional leadership, product teams, and business partners along on the journey.
- Act as a core technical authority on wider-On decisions, establishing standards for real-time model training, MLOps infrastructure, and algorithmic QA metrics.
- Mentor and guide data science and engineering talent across the organization, fostering high technical standards and a culture of continuous learning.
- Your story
- You have 10+ years of experience in building and shipping personalization engines, recommendation systems, and customer-level predictive models in a fast-paced D2C or E-commerce environment.
This should include real-time model training, streaming data processing, and deploying low-latency machine learning models to production systems.
- Proven track record of working side-by-side with Product Management and Tech Partnerships to translate ambiguous business challenges into solutions that have measurable large scale impact on key company KPIs.
- Strong history of defining success metrics and validating customer impact through rigorous experimentation, A/B testing, and continuous feedback loops, in partnership with analytics and product teams.
- Proven ability to lead complex, company-wide initiatives, influence senior business leaders, and drive strategic consensus across multi-disciplinary teams.
- Advanced proficiency in Python, modern machine learning libraries, cloud environments (e. g., GCP, AWS), event-driven architectures (e. g., Kafka), and end-to-end MLOps practices, Py Torch, JAX & Tensorflow.
- Experience in both deploying Generative AI in customer applications, and using generative AI to accelerate engineering delivery workflows.
- Outstanding storytelling and presentation skills, with the ability to explain complex algorithmic behavior clearly to technical and non-technical stakeholders alike.
- About the Team
We are a fast-growing, collaborative team of Data Scientists and Machine Learning Engineers sitting within Technology.
We build creative, end-to-end ML and Generative AI models that personalize customer experiences, optimize commercial decision-making, and predict future trends across On's global ecosystem.
We thrive in an energetic, fast-paced environment where technology is seen as a key driver of innovation and customer delight.
Home to nearly 3000 parks, a population speaking more than 300 languages, and a vibrant art and music scene, London is one of the world’s most loved cities for good reason.
Just by the banks of the Limmat you’ll find our largest global hub in Zürich West – On Labs – where you can hike up 12 floors through our custom-built spiral trail.
On is a place that is centered around growth and progress.
We offer an environment designed to give people the tools to develop holistically – to stay active, to learn, explore and innovate.
Our distinctive approach combines a supportive, team-oriented atmosphere, with access to personal self-care for both physical and mental well-being, so each person is led by purpose.
On is an Equal Opportunity Employer.
We are committed to creating a work environment that is fair and inclusive, where all decisions related to recruitment, advancement, and retention are free of discrimination.
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Principal Data Scientist employer: ON.com LLC
At On, we pride ourselves on being an exceptional employer that fosters a dynamic and innovative work culture. Our commitment to employee growth is evident through our comprehensive training programmes and opportunities for advancement within the EMEA region. With a focus on high-end retail projects, you will be part of a collaborative team that values creativity and excellence, making your contributions impactful in a rapidly evolving industry.
StudySmarter Expert Advice🤫
We think this is how you could land Principal Data Scientist
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We think you need these skills to ace Principal Data Scientist
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Craft a Tailored Cover Letter:For a full-time role at ON.com LLC, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at ON.com LLC. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at ON.com LLC
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at ON.com LLC!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.