Employment type: Permanent Location: Makati City, Metro Manila 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: 10AM to 6PM Manila time Pay range: Php 85,000 to Php 125,000   Discover a world of endless possibilities with Cambridge University Press & Assessment, a distinguished global academic publisher and assessment organisation proudly affiliated with the prestigious University of Cambridge.   We are looking for a Senior Data Scientist with a data engineering background to join our Global Data and Integration Team.  You will be expected to work as part of a small team who enable AI and ML ops within Cambridge, as well as bring innovative thinking to achieving our goal of near real time analytics and automation.   Why Cambridge?   At Cambridge, our unwavering commitment is to excel in education, learning, and research on a global scale. With a presence in over 170 countries, we empower millions of individuals, unlocking their potential and enabling their success. From dedicated teachers shaping young minds to visionary researchers pushing the boundaries of knowledge, we embody a relentless pursuit of enlightenment, curiosity, and understanding.   We embrace change as an opportunity for growth and progress, constantly adapting to meet the evolving needs of our customers. Collaboration and attentive listening are at the heart of our journey, as we work hand in hand with our customers and each other to innovate and discover more effective ways to achieve our goals. We believe people thrive in an environment where Trust and Empowerment are at the forefront, which is why all our new team members are provided regularisation on their first day so they can start #PursuingPotential from day one.   Joining Cambridge means becoming a part of an extraordinary institution renowned worldwide. Beyond that, 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.   What can you get from Cambridge?   In this role, you'll have the opportunity to collaborate with colleagues from diverse branches, expanding your horizons and enriching your understanding of different cultures. We value your wellbeing and offer stability, fostering your professional and personal growth through internal and external activities and training sessions to help enrich your skillset.   Enjoy work-life balance flexibility through our range of options, including flexible schedules, hybrid work arrangements, and generous paid leave. As a regular employee on Day One, you'll have access to comprehensive healthcare benefits, ensuring your peace of mind with coverage for dependents, group life insurance, and robust well-being programs.   What will you do as a Data Scientist?    As a Senior Data Scientist, you will play a crucial role in providing AI and ML Ops solutions working closely with product experts from technology, our business streams and the Enterprise Data Platform Management team. Your expertise and insights will enable Cambridge to utilize AI and Gen AI to automate and advance analytics within Cambridge.    

What makes you the ideal candidate for this role? The following will help you be an ideal candidate for this post:

Over 2 years of proven expertise in Data Science, with hands-on experience in predictive and descriptive analytics, ideally with big data projects. 

Skilled Data Engineer with experience working in production environments on major cloud platforms (e.g., AWS, Azure, GCP).

Demonstrated ability to independently develop AI solutions that address business or technology challenges.

Strong communication skills, with a track record of effectively explaining technical solutions to both technical and non-technical stakeholders, providing clear evidence of your thought process and approach.

  If you are driven by the opportunities that Data Science and Gen AI bring and embrace change, fast thinking and evidence based decision making, as well as working for a globally renowned institution that celebrates innovation, embraces inclusion, and empowers learners, we invite you to pursue your potential with us. Deadline of application submission is on November 21st, 2024, but may close early if we receive sufficient applications. Therefore, if you are interested, please submit your application as early as possible. Whilst not essential, it is very advantageous if you submit a Cover Letter alongside your CV.