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Senior Data Scientist


Data Science and Engineering
Singapore - Technology Centre

About the Role

We are looking for a highly motivated and detail-oriented Senior Data Scientist to drive and help shape the data science, advanced analytics and visualisation capabilities at Dyson.

As a member of the CITO team, you'll work closely with internal teams to evaluate complex data, analyse data from multiple angles, train and deploy machine learning models, create impactful visualizations, and deliver findings that directly impact the business. Moreover, you'll have the chance to impact how Dyson best executes data science globally, by supporting local data science teams with technical excellence guidance and acceleration.


  • You will be a Senior Data Scientist in the Chief IT Officer team and be based in Singapore.
  • You will be a technical pioneer, not only driving and delivering diverse, impactful data science projects across the organisation, but also offering consultancy to established data science teams, being a sparring partner to them, and supplementing their use case approaches with cutting edge techniques.
  • You will build predictive models using the myriad data sources available at Dyson, and enriching these with the creative sourcing of external data.
  • You will apply logical thinking and statistical learning techniques to obtain robust results the business can rely on for critical decisions.
  • You will help respond to complex business questions beyond what business intelligence teams are capable of today.
  • You will show up with ideas in your liaisons with the business, frequently guiding them and contributing to their advanced analytics roadmap.
  • You will work alongside Innovation Architects, bringing your knowledge of machine learning and AI to discussions around the future technical landscape for Dsyon.
  • You will work with experts in the CITO to get advice and support on accessing data and productionising your models.
  • Cutting edge approaches are key to keeping pace with Dyson’s innovative culture: you will be expected to stay abreast of industry trends and emerging technologies and methodologies.
  • You will bring your experience of productionising models to Dyson, influencing and growing our MLOps capability, and ensuring that our models deliver the value they promise.
  • You will mentor members of the team with less experience, being a steady, guiding hand on project work.

About you

Person Specification / Core Competencies

  • Real world experience of delivering tangible business value through data science models.
  • Excellent business acumen - you are someone who can quickly absorb a new domain, and recognise what problems are most valuable for our stakeholders.
  • You recognise the value of well commented, elegant, and test-driven code and demonstrate this in your work.
  • Scientific and rigourous approach to solving practical problems using logical thinking.
  • You have a strong core knowledge of applied machine learning supplemented with a robust statistical background.
  • Hands-on experience with leveraging data from a wide selection of data sources from different technologies e.g. SQL, BigQuery etc.
  • You find the possibility of working closely in a squad with data architects, cloud enablers, data engineers and devops practitioners exciting.
  • A keen understanding of data models and ETL processes. Using primarily Python and supplementing this with Tableau or Looker where necessary, you are able to analyse, model, and visualise data effectively.
  • Ideally you will have an Bachelor of Science qualification in a relevant field (e.g. Statistics, Mathematics), or similar hands-on experience.
  • You're comfortable using Git to collaborate with others and are familiar with CI/CD practices to develop and deliver software optimally.
  • You have worked successfully using Agile methodologies or Kanban.
  • You have a passion to understand Dyson, to frame its problems, and to deliver tactical solutions in short timeframes when required.
  • You thrive on exercising your communication skills, with the ability to explain complex analytical concepts to business audiences of varying data literacy levels.

Essential Key Qualifications

  • A degree in Statistics/Data Science/ML/Business Analytics or a science/engineering degree with a keen interest in statistics.
  • PhDs are valued, but creativity and excellence moreso.
  • Strong understanding of statistical modelling. Working experience of using advanced machine learning techniques to solve business challenges.
  • Strong Python skills with a focus on statistical and ML packages; e.g. Scikit-Learn, Tensorflow, Keras, PyTorch, XGBoost, NumPy, SciPy.
  • Working experience with cloud-based platforms. Comfortable querying modern cloud databases (e.g. BigQuery, Snowflake, Redshift).
  • Successful use of software engineering best practices, including version control (Git, Mercurial), unit testing and working with Agile delivery principles.
  • Proven track-record of using a rigorous, scientific approach to model building, testing and validation.
  • Experience in data cleansing and blending (internally and externally) to drive richer insights.
  • Data visualisation and lightweight app development techniques (Shiny, Dash, Streamlit, App Engine).
  • Knowledge of object oriented programming concepts and their application to data science pipelines. #LI-DYSON

Dyson is an equal opportunity employer. We know that great minds don’t think alike, and it takes all kinds of minds to make our technology so unique. We welcome applications from all backgrounds and employment decisions are made without regard to race, colour, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other any other dimension of diversity.

Interview guidance

We are following the government guidelines regarding COVID19. At this time all interviews will be conducted via video or telephone. We’re taking these precautionary measures to protect both our employee and candidate wellbeing. Our Talent Acquisition team will work with you and provide further information as appropriate.