Job details
Job Description We are looking for an individual who is passionate about data and excellent at problem solving to join our Data Science team within Cigna International Markets Data & Analytics. Our Data Science team develops and implements state-of-the-art classification and predictive models to solve problems identified by US Digital Acquisition and Engagement Analytics. For this role, the objective is to combine technical aptitude and a consultative approach to design, develop and deploy data analytics products which create values through implementations. Job Responsibilities
- Institutionalize end-to-end data analytics development and implementation cycle to ultimately create values to the businesses
- Work with US Digital Acquisition and Engagement Analytics to understand business problems and formulate the most appropriate data analytics approach
- Employ state-of-the-data machine learning algorithms to develop and validate predictive / prescriptive analytics
- Implement predictive / prescriptive analytics in the manner that their effects are trackable
- Work with Data Engineering to keep abreast of data ingestion and data enrichment including first and third party data
- Work with Data Management and Governance to ensure full compliance of data protection and Artificial Intelligence ethics.
- Manage the entire predictive / prescriptive analytics lifecycle from model development to model power evaluation to model power monitoring.
- Tertiary education in Data Science, Statistics, Actuary, Applied Mathematics
- Knowledge and experience in supervised and unsupervised machine learning algorithms including but not limiting to regression, decision trees, gradient boosting, k-nearest neighbor, Naive Bayes classifier, deep learning, and natural language processing / understanding.
- Knowledge in International Classification of Diseases (ICD)
- Knowledge and experience in Python
- Knowledge and experience in SQL and NoSQL
- Experience in Cloud computing preferably Amazon Web Services, Sagemaker, Athena, Databricks, etc.
- Strong communication skill in English; additional languages an advantage
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'pay_status' => 'Free', 'external_job_description' => '<p><b> Job Description </b> </p> <p> We are looking for an individual who is passionate about data and excellent at problem solving to join our Data Science team within Cigna International Markets Data & Analytics. 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From modifying worksheets to forecasting future trends, you’ll master the art of data manipulation, visualization, and analysis with confidence and precision.<br /> <br /> <strong>Learning Outcomes</strong> <ul> <li>Master the art of modifying Excel worksheets to suit your data analysis needs.</li> <li>Discover advanced data analysis techniques, including working with lists and lookup functions.</li> <li>Create compelling data visualizations using charts, PivotTables, and PivotCharts.</li> <li>Effortlessly manage multiple worksheets and workbooks, making data organization a breeze.</li> <li>Apply data forecasting techniques and automate workbook functionality, saving time and boosting productivity.</li> </ul> <strong>COURSE CURRICULUM</strong> <ul> <li>Modifying a Worksheet</li> <li>Working with Lists</li> <li>Analyzing Data</li> <li>Visualizing Data with Charts</li> <li>Using PivotTables and PivotCharts</li> <li>Working with Multiple Worksheets and Workbooks</li> <li>Using Lookup Functions and Formula Auditing</li> <li>Automating Workbook Functionality</li> <li>Creating Sparklines and Mapping Data</li> <li>Forecasting Data</li> </ul> <strong>Why choose this Data Analysis in Excel course?</strong> <ul> <li>Unlimited access to the course for a lifetime.</li> <li>Opportunity to earn a certificate accredited by the CPD Quality Standards and CIQ after completing this course.</li> <li>Structured lesson planning in line with industry standards.</li> <li>Immerse yourself in innovative and captivating course materials and activities.</li> <li>Assessments designed to evaluate advanced cognitive abilities and skill proficiency.</li> <li>Flexibility to complete the Course at your own pace, on your own schedule.</li> <li>Receive full tutor support throughout the week, from Monday to Friday, to enhance your learning experience.</li> <li>Unlock career resources for CV improvement, interview readiness, and job success.</li> </ul> <strong>Who is this Data Analysis in Excel course for?</strong> <ul> <li>Professionals seeking to enhance their data analysis skills.</li> <li>Students preparing for careers in data-driven industries.</li> <li>Analysts, researchers, and data enthusiasts eager to upskill.</li> <li>Business professionals looking to make data-driven decisions.</li> <li>Anyone interested in harnessing Excel for powerful data analysis.</li> </ul> <strong>Certification</strong><br /> <br /> Upon course completion, a written assignment test is available. 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Our Data Science team develops and implements state-of-the-art classification and predictive models to solve problems identified by US Digital Acquisition and Engagement Analytics. For this role, the objective is to combine technical aptitude and a consultative approach to design, develop and deploy data analytics products which create values through implementations. </p> <p><b> Job Responsibilities </b> </p> <ul> <li> Institutionalize end-to-end data analytics development and implementation cycle to ultimately create values to the businesses </li> <li> Work with US Digital Acquisition and Engagement Analytics to understand business problems and formulate the most appropriate data analytics approach </li> <li> Employ state-of-the-data machine learning algorithms to develop and validate predictive / prescriptive analytics </li> <li> Implement predictive / prescriptive analytics in the manner that their effects are trackable </li> <li> Work with Data Engineering to keep abreast of data ingestion and data enrichment including first and third party data </li> <li> Work with Data Management and Governance to ensure full compliance of data protection and Artificial Intelligence ethics. </li> <li> Manage the entire predictive / prescriptive analytics lifecycle from model development to model power evaluation to model power monitoring. </li></ul> <p><b> Job Requirements </b> </p> <ul> <li> Tertiary education in Data Science, Statistics, Actuary, Applied Mathematics </li> <li> Knowledge and experience in supervised and unsupervised machine learning algorithms including but not limiting to regression, decision trees, gradient boosting, k-nearest neighbor, Naive Bayes classifier, deep learning, and natural language processing / understanding. </li> <li> Knowledge in International Classification of Diseases (ICD) </li> <li> Knowledge and experience in Python </li> <li> Knowledge and experience in SQL and NoSQL </li> <li> Experience in Cloud computing preferably Amazon Web Services, Sagemaker, Athena, Databricks, etc. </li> <li> Strong communication skill in English; 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Hiring company
Cigna
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