Senior Data Scientist
Work setup: We operate in a hybrid work environment, and we encourage applicants who are open to working in the office
two days a week to apply.
Work schedule: Monday to Friday, 10AM to 6PM Manila time
Employment type: Permanent
Location: Makati City, Metro Manila
Pay range: Php 104,000 to Php 142,000
We value transparency and want to ensure a good fit for both parties. We encourage applicants who are comfortable with this salary range to apply.
Discover a world of endless possibilities with Cambridge University Press & Assessment, a distinguished global academic publisher and assessment organization proudly affiliated with the prestigious University of Cambridge.
We are looking for a dedicated Senior Data Scientist to join our Automarking for Digital Assessments team. You will be responsible for developing and maintaining the data assets, robust pipelines, and analytical processes that drive our automated marking systems.
Why Cambridge
Cambridge University Press & Assessment is a world-renowned not-for-profit academic publisher and assessment organisation, proudly part of the prestigious University of Cambridge. With a legacy rooted in over 800 years of educational excellence, we are dedicated to unlocking the potential of learners and educators across the globe.
Joining Cambridge's second largest global office in the Philippines —operating for over 22 years with 1,300+ colleagues— means becoming a part of an extraordinary institution renowned worldwide. We are recognised as a Great Place to Work® for three consecutive years, reflecting our inclusive culture, strong sense of purpose, and commitment to the professional growth and well-being of our people. At Cambridge, we don't just publish books or deliver tests—we empower progress, inspire curiosity, and champion the pursuit of knowledge.
What can you get from Cambridge
At Cambridge, you'll become a part of a vibrant and forward-thinking community that transcends tradition, fostering a culture of continuous growth and personal development. Here, we provide the right environment for you to thrive, supporting your professional journey and empowering you to reach your highest potential, that is why
our pay philosophy is intricately tied to your skills and competencies, ensuring that your compensation aligns with the unique value you bring to the role you are applying for.
The organization offers a wide range of benefits and opportunities including:
- Regular Employment on Day 1
- HMO Coverage and Life Insurance on Day 1
- Paid Annual Leaves (Vacation, Well-being, Flexible, Holiday, and Volunteering leaves)
- Vesting/Retirement package
- Opportunities for career growth and development
- Access to well-being programs
- Flexible schedule, hybrid work arrangement and work-life balance
- Opportunity to collaborate with colleagues from diverse branches that will expand your horizons and enrich your understanding of different cultures
What will you do as a Senior Data Scientist Reporting to the Automarking for Digital Assessments Team Lead, your accountabilities will include:
- Technical Leadership: Act as the data science SME, establishing team-wide standards for dataset development, data quality, and statistical evaluation methodologies.
- Dataset Ownership: Design, develop, and govern the critical training, validation, and benchmarking datasets used for machine learning models.
- Model Evaluation & Analytics: Lead the design of analytical frameworks and metrics to compare machine-generated scores against human marking, ensuring model consistency and fairness.
- Data Engineering: Lead the development of scalable data pipelines and analytical tooling to support robust experimentation workflows.
- Mentorship & Collaboration: Mentor colleagues in analytics and statistical reasoning while partnering with engineering and subject-matter experts to drive technical decisions.
Please review the attached job description for further details on the role.
What makes you the ideal candidate for this role
An ideal candidate has the following qualities:
Essential:
- Proven Leadership: Significant data science experience with a demonstrated ability to independently lead complex analytical initiatives and influence technical direction.
- Technical Expertise: Strong Python and SQL skills alongside extensive experience building data pipelines and processing large, complex datasets.
- Advanced Analytics: Extensive experience in experimental design, statistical evaluation, and defining metrics or benchmarks for machine learning performance.
- Communication & Collaboration: Strong stakeholder management skills and the ability to translate complex analytical findings to both technical and non-technical audiences.
Desirable:
- NLP & Automated Scoring: Experience supporting NLP development or evaluating machine learning outcomes against expert human decision-making.
- EdTech Domain: Experience within educational technology, learning platforms, or psychometrics.
- Cloud & Tooling: Experience building analytical tooling and working with cloud-based data platforms.
For the selection process, note that there may be a technical interview to assess your skills that can include a take home task.
Please ensure to upload correct and updated details and documents as these cannot be changed once submitted.Learn more about our hiring process by going through our Candidate Application Guide.
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