Senior Data Scientist

Dyson Institute; Singapore; On-site; SGD 180,000 - 240,000; Full time

Job summary

Dyson is seeking a Senior Data Scientist to lead end-to-end data science initiatives across the organization. The role combines statistics, mathematics and data preparation with hands-on ML development in Python.

You'll influence decisions, communicate results to both technical and non-technical teams, and mentor junior colleagues. Responsibilities include defining ML approaches, building scalable data pipelines, and delivering production-ready models with robust monitoring.

Qualifications

• Advanced degree in data science, statistics, mathematics, computer science or related field.
• Significant experience delivering end-to-end data science projects from problem definition to evaluation.
• Proficiency with Python and ML frameworks; ability to write tested, maintainable code.
• Experience communicating results to technical and non-technical stakeholders.

Responsibilities

• Spearhead data science projects from problem definition through analysis, modelling and evaluation.
• Select statistical, mathematical and ML approaches for complex business problems.
• Lead data exploration, cleaning, feature engineering and dataset preparation.
• Design and monitor production ML models with robust validation and performance metrics.
• Develop scalable Python code following software engineering best practices.
• Present findings and implications clearly to diverse stakeholders.
• Collaborate with business, product and engineering teams to deliver impactful solutions.
• Own project delivery, manage risks and changing priorities.
• Mentor junior data scientists with technical guidance.
• Evaluate new research and industry developments for value.

Skills

Statistics & math

Data wrangling

Machine learning

Python

GCP

Data pipelines

Education

Master’s/PhD in data science or related field

Tools

TensorFlow

scikit-learn

PyTorch

Job description

Senior Data Scientist Role Overview

The Senior Data Scientist is a senior technical role combining deep expertise in statistics, mathematics and data preparation with strong capability in machine learning and hands‑on programming. The role leads complex analyses, develops scalable solutions and ensures work is rigorous, reproducible and aligned with business needs. Working across departments, the Senior Data Scientist communicates findings to technical and non-technical stakeholders, influences technical decisions and helps colleagues develop their skills. The role demonstrates ownership, sound business judgement, effective execution and resilience, while promoting innovation, continuous learning and responsible use of data.

Key Responsibilities

• Play a key role in data science projects from problem definition through analysis, modelling, implementation and evaluation.
• Define appropriate statistical, mathematical and machine learning approaches for complex business problems.
• Lead data exploration, cleaning, transformation and feature engineering to create reliable analytical datasets.
• Design, implement and optimise machine learning models, with appropriate validation and performance monitoring.
• Develop maintainable, production-ready Python code using sound software engineering practices.
• Present findings, limitations and recommendations clearly to technical and non-technical stakeholders.
• Collaborate with business, product, engineering and other teams to deliver practical, high-impact solutions.
• Take ownership of delivery, proactively managing risks, dependencies and changing priorities.
• Mentor junior data scientists through technical guidance, feedback and knowledge sharing.
• Evaluate new research, industry developments and methodologies, applying them where they add value.
• Use cloud-based machine learning services to develop scalable solutions.

Required Skills and Experience

Technical Skills

• Deep knowledge of statistics and mathematics, with experience designing rigorous analyses, testing assumptions and interpreting complex results.
• Strong data-wrangling and cleaning skills, including working with large or imperfect datasets, resolving quality issues and developing reproducible data pipelines.
• Strong machine learning experience, including model selection, feature engineering, validation, optimisation and performance monitoring.
• Proficiency in Python and relevant machine learning frameworks, with experience writing clear, tested and maintainable code.
• Ability to build domain knowledge quickly, assess relevant research critically and apply appropriate methods to business problems.
• Experience developing scalable data science solutions using GCP or comparable cloud platforms.

Ways of Working

• Takes ownership of project quality, delivery and business impact.
• Collaborates effectively across technical and business teams and communicates complex ideas clearly.
• Applies sound business judgement when prioritising work and balancing accuracy, value, cost and delivery time.
• Executes effectively in ambiguous environments and remains resilient when priorities change or experiments do not succeed.
• Maintains a continuous-learning mindset and shares knowledge across the team.
• Mentors junior data scientists and provides constructive technical guidance.

Experience and Qualifications

• Master’s degree or PhD in Data Science, Statistics, Mathematics, Computer Science or a related field, or a bachelor’s degree with significant equivalent experience.
• Significant experience delivering data science projects from problem definition through implementation and evaluation.
• Demonstrated proficiency in Python, machine learning frameworks and statistical analysis.
• Experience communicating recommendations to senior technical and non-technical stakeholders.
• Experience mentoring or technically guiding other data scientists.

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. At Dyson we are focused on solving the problems that others have ignored; solving them first using our technology and ingenuity. In order to achieve this we need to pioneer technologies that are different and authentic. This is the core of what we do and who we are. We must strive to create the future, every single day by developing new things, different things, things that go against the grain with a diverse and global team of ingenious minds. Dyson employs 14,000 people and is present in more than 80 countries. And while we are growing fast we want Dyson to remain a start-up in spirit with the freedom of experimentation and learning, constantly reinventing our products as well as reinventing how we work, how we sell and how we support our owners. At the same time we are working through the James Dyson Foundation, James Dyson Award and Dyson Institute to inspire future engineers and pioneering a new approach to engineering education. Underlining everything we do in this diverse environment is the need to always show respect, supporting each other as one team to overcome whatever challenges we encounter. We drive empowerment, development and equality in an inclusive environment for our people around the world. The future doesn’t just happen, we look to make it happen, to achieve leaps through pioneering new ideas.