Data Science Engineer

Procter & Gamble; Singapore; On-site; SGD 90,000 - 120,000; Full time

Job summary

Procter & Gamble Singapore is seeking a Data Scientist to design and implement innovative models that enhance business processes.

You will research, design, and customize algorithms, collaborate with Data and AI Engineering teams to productionize solutions in cloud environments, and mentor others while building scalable, reliable data science capabilities.

Qualifications

• Educational background in a quantitative field (Bachelors/Masters or higher).
• 2–5 years of data science experience.
• Proficient in Python and data science libraries (OpenCV, scikit-learn, PyTorch, TensorFlow/Keras, Pandas).
• Proven ability to develop and test code within cloud environments.
• Strong written and verbal communication with ability to influence others.

Responsibilities

• Algorithm Design & Development: Contribute to the design and development of scalable data science algorithms.
• Collaboration: Work closely with Data and AI Engineering teams to effectively productionize algorithms.
• Data Analysis: Apply thorough technical knowledge to large datasets, conducting exploratory data analysis, feature engineering, and model building.
• Coaching & Mentorship: Develop others as a technical coach, sharing your expertise and insights.
• Expertise Development: Become a known expert in one or multiple data science techniques and methodologies.

Skills

Python

Data science

Cloud environments

Communication skills

Model development

Education

Bachelor's/Master's in quantitative field

Tools

OpenCV

scikit-learn

PyTorch

TensorFlow/Keras

Pandas

Job description

Job Description

As a Data Scientist in our organization, you will play a crucial role in disrupting current business practices by designing and implementing innovative models that enhance our processes.

• Research, design, and customize algorithms tailored to various problems and data types.
• Utilize expertise in Operations Research (including optimization and simulation) and machine learning models (such as tree models, deep learning, and reinforcement learning) to develop scalable data science algorithms.
• Integrate advanced techniques from Generative and Agentic AI to create more dynamic and responsive models, enhancing our analytical capabilities.
• Collaborate with Data and AI Engineering teams to productionize solutions: applying exploratory data analysis, feature engineering, and model building within cloud environments on massive datasets to deliver accurate and impactful insights.
• Mentor others as a technical coach and become a recognized expert in one or more data science techniques, quantifying the improvements in business outcomes.

Job Location

SINGAPORE GENERAL OFFICE

Team

You and other Data Scientists will report to the Data Science Director. You will partner with domain experts in different business units, understand the problem, design solution trajectories, solve the problem, innovate new capabilities, and collaborate with Data and AI Engineering teams to translate your efforts into robust, scaled, and reliable solutions.

Responsibilities

• Algorithm Design & Development: Contribute to the design and development of scalable data science algorithms.
• Collaboration: Work closely with Data and AI Engineering teams to effectively productionize algorithms.
• Data Analysis: Apply thorough technical knowledge to large datasets, conducting exploratory data analysis, feature engineering, and model building.
• Coaching & Mentorship: Develop others as a technical coach, sharing your expertise and insights.
• Expertise Development: Become a known expert in one or multiple data science techniques and methodologies.

Qualifications

Required Qualifications

• Educational background: Bachelor’s, Master’s, or postgraduate in a quantitative field (Operations Research, Computer Science, Engineering, Applied Mathematics, Statistics, Physics, Analytics, etc.)
• Experience: 2-5 years of relevant work experience in data science.
• Technical skills: Proficient in programming languages such as Python and familiar with data science/machine learning libraries like OpenCV, scikit-learn, PyTorch, TensorFlow/Keras, and Pandas.
• Proven ability to develop and test code within cloud environments.
• Communication: Strong written and verbal communication skills, with the ability to influence others to take action.

Preferred Qualifications

• Experience applying analytic methodologies such as machine learning, optimization, simulation, generative and agentic AI to real-world problems.
• Commitment to lifelong learning and a willingness to teach others while learning new techniques.
• Experience with large datasets and developing on cloud computing platforms such as GCP or Azure.
• Familiarity with DevOps practices, including tools like Git and CI/CD.

Benefits

• Responsibilities from day 1 – work on key brands from the beginning, and grow ownership over time.
• Recognized state-of-the-art marketing skills and continuous mentorship.
• Dynamic and respectful work environment, encouraging agility and work/life balance.

We are an equal opportunity employer and value diversity at our company. We do not discriminate against individuals on the basis of race, color, gender, age, national origin, religion, sexual orientation, gender identity or expression, marital status, citizenship, disability, HIV/AIDS status, or any other legally protected factor.