Current Openings Current Openings

Job Description

Lead : 10 years experience in Insurance and Healthcare domain

Senior Data Scientists: 6-8 years experience in Insurance and Healthcare domain

Date Scientists : 4 -5 Years experience in Insurance and Healthcare domain

For our Client in Singapore | Work From Home Option | Exciting Career| Immediate Joiner

What you will do?

The role will primarily own and lead the development, implementation and monitoring of data science projects and work with cross functional teams across data analytics, actuarial analytics, clinical (coders and doctors), and data engineers in an international team to deliver the projects on time. Effective communication between a range of stakeholders is vital to ensure delivery.

The ideal person has a passion for data and deep understanding of the life journey of data science projects and data products.

Core responsibilities include:

• Connecting with a multitude of local and international stakeholders to understand the data, systems, and analytical processes in a healthcare context
• Own and lead the development and implementation of data science models, to solve business problems
• Research and application of new data science techniques/ framework fit for purpose to solve real world problems
• Rapidly test and iterate different data science algorithms
• Own model monitoring statistics and trigger points to decide model retraining parameters.
• Work with the ML Engineers to deploy ML models successfully and contribute to the MLOps process and pipeline development
• Usage of data science to find new insights to inform healthcare strategies and develop product – there will be a broad range of products to understand from clinical, operations, financial, fraud, digital, sales and marketing, wellness, etc.
• Present data and model findings to larger team in a way that provides actionable insights
• Improve processes and data outcomes where opportunities arise
• Mentor and guide junior data scientists in the team

What skills do you need?

Behavioural skills

• Ability to lead projects which involve a wide range of stakeholders
• Communication skills across a wide range of stakeholders
• Ability to work cohesively in a team environment with key focus on the data
• High level of attention to detail, resilience, enthusiasm, energy and drive
• Positive, can-do attitude focused on continuous improvement
• Ability to take and provide feedback to drive improved delivery
• Rigorous ability to problem-solve and optimise environment

Technical understanding

• A working understanding of the data used in healthcare is optimal as data forms the basis of products, as such the following core understandings are required:
• Proficient in SQL, python, and advanced excel
• Proficient in developing ML algorithms and models at a very large scale in an industry environment
• Proficient in a range of data science algorithms (Machine Learning, Deep Learning, Reinforcement Learning, etc.). Specialisation in one field is also welcomed.
• Working experience in the MLOps process and AI governance with cloud platforms: Microsoft Azure preferred (Databricks, Synapse, Data Factory, etc.)

Preferred:

• Working experience of the model lifecycle in at least 2 out of the following areas of expertise from clinical, operations, financial, fraud, digital, sales and marketing, wellness, or any relevant dataset in healthcare
• Working experience in health outcome indices and metrics and measures
• Knowledge of patient health management, provider profiling, healthcare reporting, and other key healthcare technologies etc. is advantageous
• Knowledge of clinical tools including coders, groupers, and classifications is advantageous
• Knowledge of data science in the healthcare space is advantageous
• Knowledge of healthcare benefit pricing, product pricing and other actuarial calculations (reserving, risk rating, etc.) is advantageous

Qualifications

• Degree in either Data Science, Statistics, Applied Mathematics or Computer Science
• Master's degree plus >6 years of relevant data science experience required or bachelors plus > 8 years of relevant experience
• > 1 years of mentoring and guiding data scientist experience preferred
• Experience in healthcare data science is preferred

Lead : 10 years experience in Insurance and Healthcare domain

Senior Data Modeler: 6-8 years experience in Insurance and Healthcare domain

Date Modeler : 4 -5 Years experience in Insurance and Healthcare domain

For our Client in Singapore | Work From Home Option | Exciting Career| Immediate Joiner

Positive, can-do attitude

• Ethical and able to maintain confidentiality and manage boundaries
• Technical understanding
• Advanced to Expert knowledge in SQL – on any database platformModern datawarehouse design skills eg DataWarehouse, Data Lakehouse, Data Mesh, Data Vault
• Experience working on large and complex datasets.
• Working with design tools eg Enterprise Architect, Power Designer
• Working with Data Architects to design and implement solutions
• Nice to haveHealth Care or Health Insurance data experience with Strong communicator (verbal and written)

Qualifications

• The following requirements are essential:
• Honours or Master’s degree in BSc Computer Science
• Other qualifications will also be considered if accompanied by the relevant experience
• 5 to 10 years of experience is preferred as per position

Location: India

Job Description

Responsibilities

Project Management

• Manages strategic business planning projects that consist of the following: defining scope, outlining timelines, establishing participant's roles and responsibilities, and establishing criteria for success.
• Exhibits advanced project management skills to ensure timely completion of complex marketing projects.Manages project parameters including timelines, objectives, project scope, and project participants.
• Communicates to senior management, effectively, in review of weekly deliverables and critical business & thinking questions.
• Identifies and formally communicates best practices for product offerings, marketing materials and overall business & analytical resources.
• Informs all appropriate personnel of plans, programs and operations that affect their areas, and encourages feedback from all employees to increase productivity.
• Audits own performance and recommends own objectives and standards of performance.
• Maintains an awareness of developments in the merchandising and marketing fields that relate to job responsibilities and integrates them into own practices.
• Works effectively in an on-shore/off-shore environment

Business Acumen

• Leads the development of effective strategies and tactics resulting in improved business performance against established client/project goals.
• Develops timely, innovative, objective analysis that leads to fact-based solutions for the strategic business issues.
• Leads Business Analysts in completing complex strategic analyses.
• Contributes in the business acumen training of new Business Analysts.
• Researches and communicates retail and consumer products industry trends.
• Visits retail outlets regularly to identify effective category merchandising, pricing and promotional activities and gain an appreciation of retail operations and consumer dynamics.
• Deep understanding of retail and CPG core business functions (e.g., Marketing, Pricing, Promotions, Assortment & Space optimization)

Analytic Acumen

• Leads the development of qualitative and quantitative goals and objectives against which the performance is measured.
• Challenges current operating procedures and business models in order to improve sales and profits within targeted departments or within targeted merchandising efforts at both department and store levels.
• Prepares" presentations and aids in the development of communication vehicles to update Purchasing and Store Operations with best of breed merchandising implementations.
• Leads in the analytical acumen training of new Business Analysts.
• Communicates the logic behind the data comprising the information/knowledge used in the development of both end deliverables.
• Develop & incorporate new applications of market basket data to improve sales and profits.
• Incorporates various analytics from IRI, ACNielsen and other syndicated and third party information into category insights and opportunities and/or develops new applications via IRI/ACNielsen consumer data to improve sales and profits.

Location: India

Job Description

Responsibilities

Project Management

• Manages strategic business planning projects that consist of the following: defining scope, outlining timelines, establishing participant's roles and responsibilities, and establishing criteria for success.
• Exhibits advanced project management skills to ensure timely completion of complex marketing projects.Manages project parameters including timelines, objectives, project scope, and project participants.
• Communicates to senior management, effectively, in review of weekly deliverables and critical business & thinking questions.
• Identifies and formally communicates best practices for product offerings, marketing materials and overall business & analytical resources.
• Informs all appropriate personnel of plans, programs and operations that affect their areas, and encourages feedback from all employees to increase productivity.
• Audits own performance and recommends own objectives and standards of performance.
• Maintains an awareness of developments in the merchandising and marketing fields that relate to job responsibilities and integrates them into own practices.
• Works effectively in an on-shore/off-shore environment

Business Acumen

• Leads the development of effective strategies and tactics resulting in improved business performance against established client/project goals.
• Develops timely, innovative, objective analysis that leads to fact-based solutions for the strategic business issues.
• Leads Business Analysts in completing complex strategic analyses.
• Contributes in the business acumen training of new Business Analysts.
• Researches and communicates retail and consumer products industry trends.
• Visits retail outlets regularly to identify effective category merchandising, pricing and promotional activities and gain an appreciation of retail operations and consumer dynamics.
• Deep understanding of retail and CPG core business functions (e.g., Marketing, Pricing, Promotions, Assortment & Space optimization)

Analytic Acumen

• Leads the development of qualitative and quantitative goals and objectives against which the performance is measured.
• Challenges current operating procedures and business models in order to improve sales and profits within targeted departments or within targeted merchandising efforts at both department and store levels.
• Prepares" presentations and aids in the development of communication vehicles to update Purchasing and Store Operations with best of breed merchandising implementations.
• Leads in the analytical acumen training of new Business Analysts.
• Communicates the logic behind the data comprising the information/knowledge used in the development of both end deliverables.
• Develop & incorporate new applications of market basket data to improve sales and profits.
• Incorporates various analytics from IRI, ACNielsen and other syndicated and third party information into category insights and opportunities and/or develops new applications via IRI/ACNielsen consumer data to improve sales and profits.