Data Science Consultant
At a glance
Mid-level Data Science role at AIA. Taguig · full-time.
Pay not stated Data Science salary
dataroles summary, based on the employer's posting.
What you'll do
- Gather and prepare data so it can be used in analytical modeling
- Build custom models and algorithms for different datasets, shaped by business needs
- Create ways to track model performance and data accuracy, then test model quality
- Work with business units to put models, processes and tools into practice
- Set up governance and shared frameworks for analytics across the organization
What you bring
- A degree in statistics, mathematics, data science, computer science or a comparable subject, plus at least three years in data or computational work
- Hands-on programming with Python and SQL, along with experience using Tableau or Power BI
- Strong grounding in advanced statistics and predictive or prescriptive methods
- Experience working with large databases to manipulate, process and extract data
Who this fits
This mid-level role suits someone who can apply data science methods to business needs and explain complex information clearly. You’ll work with different business units and help train others in data science.
From the employer
At AIA we’ve started an exciting movement to create a healthier, more sustainable future for everyone.
As pioneering innovators for over 100 years, we’re now transforming our organisation to be faster, simpler and more connected. Because we want to be even better equipped to develop digital solutions and experiences that help more people live Healthier, Longer, Better Lives.
To get there, we need people with tech/digital/analytics expertise and passion to help develop positive, sustainable change through digitally enhanced experiences that will impact the lives of millions of people and create a healthier future for everyone.
If you believe in developing a better tomorrow, read on.
About the Role
Able to apply different data science techniques such as deep learning, machine learning, reinforcement learning, natural language processing and other approach on different business requirements from various business units.ROLES AND RESPONSIBILITIES:
- Able to collect, extract, and wrangle data that is used to perform analytic modelling.
- Develop custom data models and algorithm applied to different data sets based on business requirements
- Develop processes and tools to monitor, assess, and analyze algorithm, model performance, and data accuracy
- Develop testing framework and test model quality.
- Coordinate with various business units to implement models or process and tools.
- Develop governance and framework to establish analytics practice across the organization
GENERAL QUALIFICATIONS:
- Innovative, proactive, creative, well-organized and able to easily adapt to various technologies
- Strong analytical skills and logical reasoning; attention to details; Process-oriented
- Great interpersonal skills and excellent oral and written communication skills. Can present complex information in a clear and compelling manner
- Comfortable in very fast-paced environment and transforming organization
- Willingness and desire to learn new environment and tools and advance your knowledge. Keeps up to data with new research and integrated applications in the area of data science.
- Willingness to train and educate resources on data science topics
TECHNICAL QUALIFICATIONS:
- Bachelor’s Degree in Statistics, Mathematics, Data Science, Computer Science or an equivalent course with 3 years + experience in data/computational focus.
- Experience using programming languages such as Python, SQL
- Experience using visualization tools such as Tableau, PowerBI.
- Strong knowledge on advanced statistical methods, predictive and prescriptive methods. Preferably with expertise in deep learning, recommender systems, and NLP/Computational Linguistics
- Background in handling big data. Strong track record of manipulating, processing, and extracting data from large databases.
Build a career with us as we help our customers and the community live Healthier, Longer, Better Lives.
You must provide all requested information, including Personal Data, to be considered for this career opportunity. Failure to provide such information may influence the processing and outcome of your application. You are responsible for ensuring that the information you submit is accurate and up-to-date.
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