117 Predictive Modeling jobs in Kuala Lumpur

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Responsibilities

Strategic Collaboration with Data Science: Partner with data scientists to operationalize analytical models, transforming raw insights into production-ready data assets for game monetization and user retention strategies. Full-cycle Data Pipeline Engineering: Design and deploy scalable ETL/ELT pipelines leveraging PySpark/SQL to process 10M+ daily transactions across multi-dimensional datasets (e.g., player behavior, in-game economy). Ensure data integrity for modeling, KPI reporting, and regulatory compliance. Actionable Insights Visualization: Develop and maintain real-time Tableau dashboards integrating internal BI platforms. Translate complex metrics into strategic insights for stakeholders using frameworks like AARRR or LTV analysis. Onsite: KL, reachable by public transport (location note). Qualifications

Degree in Computer Science or related technical field 2+ years of working experience in data analysis/data warehouse/mart development and BI reporting Good understanding of Python, SQL, HiveQL/SparkSQL and the relevant best practices/techniques for performance tuning Working experience in building BI dashboards with Tableau and other BI tools Strong analytical and technical skills in building batch/streaming data pipelines for big data Proficiency in Mandarin (both written and spoken) to effectively communicate with non-English speaking counterparts based in China for gathering requirements and analysis. Experience deploying models in production and adjusting model thresholds to improve performance is a plus Strong interest or knowledge in gaming industry is a plus Employment details

Seniority level: Associate Employment type: Contract Job function: Information Technology Industries: IT Services and IT Consulting Referrals increase your chances of interviewing at iSoftStone by 2x. Get notified about new Data Science Specialist jobs in

Greater Kuala Lumpur .

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Overview

AIA Malaysia Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia

This role is responsible for establishing and leading a high-performing analytics function that supports AIA’s strategic goals and business growth.

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.

Build a career with us as we help our customers and the community live Healthier, Longer, Better Lives.

Responsibilities

• To create a Centre of Excellence for analytics solution strategy to enable AIA’s vision in helping more Malaysians live healthier, longer and better lives.
• To build, lead and inspire the data science team to deliver brilliant analytics work that drives business growth, customer experience, drive productivity and optimize efficiencies.
• To create valuable best practices that can be replicated in other markets.
• To develop best practice analytics solutions to support business decisions with measurable success to drive business growth and effectiveness.
• To create and manage the analytics workplan with the Insights team and business users to ensure delivery of brilliant analytics work that meets the business pace.

Roles & Responsibilities

• To create the data science approach and roadmap to support the long-term and short-term business needs.
• To partner with the Insights team to ensure that the data science team delivers against the analytics workplan in a timely manner with brilliant quality work.
• To take a hands-on approach as the analytics technical expert, using large data sets and applying a variety of machine learning methodologies/algorithms and Generative/Cognitive AI (e.g. deep learning, NLP, image recognition, text recognition, chatbots, robotics, etc.) with different data tools to develop models, run simulations, and drive tangible business outcomes.
• To act as an analytics consultant for business stakeholders and a coach for team members, recommending and delivering creative analytics solutions for continuous improvement and solving business questions.
• To collaborate with potential partner(s)/vendor(s) or internal teams to develop efficient prototypes, assess AI solutions, provide feedback, identify areas for improvement, and finalize designs to automate or streamline operations within the Company.
• To apply MLOps and uphold high ethical standards when implementing machine learning models and AI solutions.
• To implement and manage a high standard of procedural documentation.
• To research and experiment with creative and advanced machine learning techniques and tools.
• To drive the collection of new data and the refinement of existing data sources.
• To possess strong stakeholder management and communication skills, with experience working with senior leadership teams and EXCO members.

Qualifications

• Bachelor’s or Master’s Degree in a relevant field of study is required.
• Minimum of 5 years of relevant working experience.
• Expertise in programming-based analytics, with experience in at least two languages: SQL (mandatory), R, Python, SAS.
• Proven experience in building statistical models, segmentation, predictive and propensity models (e.g. clustering, logistic regression, predictive models, conceptual modeling, hypothesis testing).
• Good understanding of machine learning algorithm design principles.
• Good understanding of machine learning model management practices.
• Ability to work in a fast-paced, multidisciplinary, and competitive environment.
• Strong analytical, problem-solving, deductive reasoning, and critical thinking skills.
• Ability to collaborate effectively with other teams to drive positive outcomes.
• Strong project management skills and ability to manage multiple priorities.
• Added advantage if the candidate has completed machine learning or data science courses on platforms such as Udacity or Coursera.
• Strong sense of urgency and accountability to drive business outcomes.
• Experience in developing Generative AI solutions and working with Large Language Models (LLMs) is a plus.

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.

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Education and Training

Industries

• Insurance

Referrals increase your chances of interviewing at AIA Malaysia by 2x

Get notified about new Principal jobs in Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia.

Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia

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MoneyLion is a leader in financial technology powering the next generation of personalized products and content, with a top consumer finance super app, a premier embedded finance platform for enterprise businesses and a world-class media arm. MoneyLion’s mission is to give everyone the power to make their best financial decisions.

We pride ourselves on serving the many, not the few; providing confidence through guidance, choice, personalization; and shortening the distance to an informed action. In our go-to money app for consumers, we deliver curated content on finance and related topics, through a tailored feed that engages people to learn and share.

People take control of their finances with our innovative financial products and marketplace - including our full-fledged suite of features to save, borrow, spend, and invest - seamlessly bringing together the best offers and content from MoneyLion and our 1,100+ Enterprise Partner network, together in one experience.

About Us

MoneyLion is America’s most powerful and rewarding financial membership, empowering people to take control of their finances to achieve their overall life goals. Since its launch in 2013, MoneyLion has amassed more than 4 million members and has earned its customers trust with new banking and investments capabilities that offer a one-of-a-kind rewards program, no-fee checking account, overdraft protection, and loans funded in 15 seconds or less.

About The Role

The Kuala Lumpur office is the technology powerhouse of MoneyLion. We pride ourselves on innovative initiatives and thrive in a fast paced and challenging environment. Join our multicultural team of visionaries and industry rebels in disrupting the traditional finance industry!

As a Data Science Manager in the Machine Learning Department, you will have the opportunity to lead a high-performing team responsible for developing the next generation of Moneylion’s machine learning algorithms behind MoneyLion’s data-driven products.

Key Responsibilities

• Lead the technical direction and execution of the complete machine learning lifecycle, from research and development to validation, deployment, and post-production
• Envision and craft roadmap for machine learning projects towards well-defined success metrics
• Ensure the delivery of machine learning systems according to roadmap and with exceptional quality
• Provide thought leadership in ideating and innovating on cutting-edge techniques from literature to improve the performance of existing solutions
• Collaborate across company leadership and partner with stakeholders to drive adoption of machine learning models, identify and remove roadblocks while minimizing risk to the business and the team
• Define and drive best practices and model development policies to ensure the feasibility, generalizability, and stability of models while ensuring verbose documentation and diagrams are maintained
• Establish and define frameworks for ensuring robust development of machine learning codebase to enable maintainable and continuous improvements with measurable business impact

About You

• Demonstrated experience in leading data science teams with strong focus on success metrics
• Experience owning, building, and validating machine learning systems in production
• Practical experience with deep learning, computer vision, and NLP projects
• Proficient with machine learning libraries and frameworks such as scikit-learn, XGBoost, LightGBM, TensorFlow, Keras
• Proficient in programming languages such as Python and SQL
• Strong understanding of data structures, data modeling and software architecture
• Deep knowledge of probability, statistics, distributions, and analysis methods
• Have strong product/business orientation

What's Next. After you submit your application, you can expect the following steps in the recruitment process:

• Online Technical Test
• Interview - Talent Acquisition Team (Virtual or face-to-face)
• Take-Home Assessment
• Interview & Discussion of Take-Home Assessment - Hiring Manager (Virtual or face-to-face)

What We Value

We value growth-minded and collaborative people with high learning agility who embody our core values of teamwork, customer-first and innovation . Every member of the MoneyLion Team is passionate about fintech and ready to give 100% in helping us achieve our mission.

Working At MoneyLion

At MoneyLion, we want you to be well and thrive. Our generous benefits package includes:

• Competitive salary packages
• Comprehensive medical, dental, vision and life insurance benefits
• Wellness perks
• Paid parental leave
• Generous Paid Time Off
• Learning and Development resources
• Flexible working hours

MoneyLion is committed to equal employment opportunities for all employees. Inside our company, every decision we make regarding our employees is based on merit, competence, and performance, completely free of discrimination. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. Within that team, no one will feel more “other” than anyone else. We realize the full promise of diversity and want you to bring your whole self to work every single day.

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Overview

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

This role supports the development and execution of analytics strategies that align with AIA’s strategic goals and business growth.

• To support the Centre of Excellence for analytics solution strategy to enable AIA’s vision of promoting Healthier, Longer, Better Lives.

• To be part of the data science team to deliver analytical work that drives business growth, enhances customer experience, improves productivity, and optimizes efficiencies.

• To create valuable best practices that can be replicated in other markets.

• To produce best practice analytics solutions that support business decisions with measurable success, driving growth and effectiveness.

• To deliver the analytics workplan in collaboration with the Insights team and business users, ensuring timely and high-quality output that meets business needs.

Roles & Responsibilities

• To be part of the data science team in delivering analytical work that supports business execution, contributing to business growth, enhancing customer experience, improving productivity, and optimizing efficiencies.
• To create valuable best practices that can be replicated across other markets.
• To produce best practice analytics solutions that support business decisions with measurable success, driving growth and effectiveness.
• To deliver the analytics workplan in collaboration with the Insights team and business users, ensuring high-quality output that aligns with business pace and priorities.

Job Requirements

• Bachelor's Degree or Master's in any relevant field of study is required.
• Minimum 3 years of experience in data science or related fields.
• Expert in programming-based analytics, with experience in two or more languages such as SQL, R, or Python.
• Proven experience in building statistical models, segmentations, and predictive or propensity models, including clustering, neural networks, scenario analysis, conceptual modelling, and hypothesis testing.
• Good understanding of machine learning algorithm design principles and model management practices.
• Able to work effectively in a fast-paced, multidisciplinary, and competitive environment.
• Strong analytical skills, deductive reasoning, problem-solving, and critical thinking abilities.
• Able to collaborate with other teams to drive positive outcomes.
• Strong business acumen and project management skills, with the ability to manage multiple priorities.
• Added bonus if the candidate has experience with Big Data platforms (especially unstructured data) and deep learning.
• Strong sense of urgency and accountability to drive business outcomes.

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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Company Description

Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose – to uplift everyone, everywhere by being the best way to pay and be paid.

Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa.

Job Description

Visa Consulting and Analytics (VCA) is the consulting arm of Visa, and drives tangible, impactful results for clients. Drawing on our expertise in consulting, data analytics, technology, payments and economics, VCA solves the most strategic problems for our clients. VCA's core client segments include issuers, acquirers, merchants, fintechs, payment enablers and governments.

The Intelligence & Data Solutions (IDS) team at VCA consists of data scientists, analysts, and engineers who provide analytics solutions. Their goal is to leverage VisaNet, one of the largest datasets globally, to help clients enhance their performance and increase profitability.

Specific Responsibilities include

• Lead, execute, and deliver data science projects for Visa's key clients.
• Develop project scopes, methodologies, and implement solutions using appropriate tools.
• Analyze data using statistical software like Python or R.
• Extract and aggregate data from large data sets using SQL, Hive, Spark or other tools.
• Maintain quality control and documentation for projects.
• Innovate with Visa's and client data to meet needs.
• Enhance techniques by promoting new methodologies.
• Foster thought leadership and innovation in data science.
• Manage communication with clients and stakeholders.
• Mentor and supervise data scientists in the team.
• Deliver analytics projects providing actionable insights.
• Identify opportunities for innovation using new techniques.
• Manage stakeholders effectively.
• Build visualization capabilities to address client problems.
• Identify market trends through deep analysis of payment industry information.
• Perform client-specific analysis on portfolio data.
• Manage the transfer of technical knowledge for business solution implementation.

This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager.

Qualifications

• 8+ or more years of relevant work experience with a Bachelor's Degree or at least 4 years of work experience with an Advanced degree (e.g. Masters, PhD)
• Extensive experience working with or on the following items:
• Advanced M/L, D/L algorithms, and Generative A.I.
• Extracting and aggregating data from large sets using SQL/Hive or Spark.
• Analyzing large datasets with Python, R, SQL, or Spark.
• Creating visual insights using software such as Tableau and Power BI.
• Communicating data-driven insights and recommendations.
• Building predictive and descriptive models with various tools.
• Performing data mining and statistical modeling.
• Prior experience in financial services is a plus.
• Working with and engaging business stakeholders - both internally and/or externally (e.g. clients / partners etc.).

Additional Information

Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.

#J-18808-Ljbffr

Company Description

Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose – to uplift everyone, everywhere by being the best way to pay and be paid.

Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa.

Job Description

Visa Consulting and Analytics (VCA) is the consulting arm of Visa, and drives tangible, impactful results for clients. Drawing on our expertise in consulting, data analytics, technology, payments and economics, VCA solves the most strategic problems for our clients. VCA's core client segments include issuers, acquirers, merchants, fintechs, payment enablers and governments.

The Intelligence & Data Solutions (IDS) team at VCA consists of data scientists, analysts, and engineers who provide analytics solutions. Their goal is to leverage VisaNet, one of the largest datasets globally, to help clients enhance their performance and increase profitability.

Specific Responsibilities include

• Lead, execute, and deliver data science projects for Visa's key clients.
• Develop project scopes, methodologies, and implement solutions using appropriate tools.
• Analyze data using statistical software like Python or R.
• Extract and aggregate data from large data sets using SQL, Hive, Spark or other tools.
• Maintain quality control and documentation for projects.
• Innovate with Visa's and client data to meet needs.
• Enhance techniques by promoting new methodologies.
• Foster thought leadership and innovation in data science.
• Manage communication with clients and stakeholders.
• Mentor and supervise data scientists in the team.
• Deliver analytics projects providing actionable insights.
• Identify opportunities for innovation using new techniques.
• Manage stakeholders effectively.
• Build visualization capabilities to address client problems.
• Identify market trends through deep analysis of payment industry information.
• Perform client-specific analysis on portfolio data.
• Manage the transfer of technical knowledge for business solution implementation.

This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager.

Qualifications

• 8+ or more years of relevant work experience with a Bachelor's Degree or at least 4 years of work experience with an Advanced degree (e.g. Masters, PhD)
• Extensive experience working with or on the following items:
• Advanced M/L, D/L algorithms, and Generative A.I.
• Extracting and aggregating data from large sets using SQL/Hive or Spark.
• Analyzing large datasets with Python, R, SQL, or Spark.
• Creating visual insights using software such as Tableau and Power BI.
• Communicating data-driven insights and recommendations.
• Building predictive and descriptive models with various tools.
• Performing data mining and statistical modeling.
• Prior experience in financial services is a plus.
• Working with and engaging business stakeholders - both internally and/or externally (e.g. clients / partners etc.).

Additional Information

Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.

#J-18808-Ljbffr

**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**This role is responsible for establishing and leading a high-performing analytics function that supports AIA’s strategic goals and business growth. • To create a Centre of Excellence for analytics solution strategy to enable AIA’s vision in helping more Malaysians live healthier, longer and better lives. • To build, lead and inspire the data science team to deliver brilliant analytics work that drives business growth, customer experience, drive productivity and optimize efficiencies. • To create valuable best practices that can be replicated in other markets. • To develop best practice analytics solutions to support business decisions with measurable success to drive business growth and effectiveness. • To create and manage the analytics workplan with the Insights team and business users to ensure delivery of brilliant analytics work that meets the business pace.***Roles & Responsibilities:*** To create the data science approach and roadmap to support the long-term and short-term business needs.* To partner with the Insights team to ensure that the data science team delivers against the analytics workplan in a timely manner with brilliant quality work.* To take a hands-on approach as the analytics technical expert, using large data sets and applying a variety of machine learning methodologies/algorithms and Generative/Cognitive AI (e.g. deep learning, NLP, image recognition, text recognition, chatbots, robotics, etc.) with different data tools to develop models, run simulations, and drive tangible business outcomes.* To act as an analytics consultant for business stakeholders and a coach for team members, recommending and delivering creative analytics solutions for continuous improvement and solving business questions.* To collaborate with potential partner(s)/vendor(s) or internal teams to develop efficient prototypes, assess AI solutions, provide feedback, identify areas for improvement, and finalize designs to automate or streamline operations within the Company.* To apply MLOps and uphold high ethical standards when implementing machine learning models and AI solutions.* To implement and manage a high standard of procedural documentation.* To research and experiment with creative and advanced machine learning techniques and tools.* To drive the collection of new data and the refinement of existing data sources.* To possess strong stakeholder management and communication skills, with experience working with senior leadership teams and EXCO members.**Job Requirements:*** Bachelor’s or Master’s Degree in a relevant field of study is required.* Minimum of 5 years of relevant working experience.* Expertise in programming-based analytics, with experience in at least two of the following languages: SQL (mandatory), R, Python, SAS.* Proven experience in building statistical models, segmentation, predictive and propensity models (e.g. clustering, logistic regression, predictive models, conceptual modeling, hypothesis testing).* Good understanding of machine learning algorithm design principles.* Good understanding of machine learning model management practices.* Ability to work in a fast-paced, multidisciplinary, and competitive environment.* Strong analytical, problem-solving, deductive reasoning, and critical thinking skills.* Ability to collaborate effectively with other teams to drive positive outcomes.* Strong project management skills and ability to manage multiple priorities.* Added advantage if the candidate has completed machine learning or data science courses on platforms such as Udacity or Coursera.* Strong sense of urgency and accountability to drive business outcomes.* Experience in developing Generative AI solutions and working with Large Language Models (LLMs) is a plus.*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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Overview

AIA Malaysia Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia. Join to apply for the Data Science, Analyst role at AIA Malaysia.

At AIA we’ve started an exciting movement to create a healthier, more sustainable future for everyone. We’re transforming our organisation to be faster, simpler and more connected to develop digital solutions and experiences that help more people live Healthier, Longer, Better Lives. 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.

If you believe in developing a better tomorrow, read on.

Responsibilities

• Support the Centre of Excellence for analytics solution strategy to enable AIA’s vision of promoting Healthier, Longer, Better Lives.
• Be part of the data science team to deliver analytical work that drives business growth, enhances customer experience, improves productivity, and optimizes efficiencies.
• Create valuable best practices that can be replicated in other markets.
• Produce best practice analytics solutions that support business decisions with measurable success, driving growth and effectiveness.
• Deliver the analytics workplan in collaboration with the Insights team and business users, ensuring timely and high-quality output that meets business needs.

Job Requirements

• Bachelor's Degree or Master's Degree in any relevant field of study is required.
• Minimum 3 years of experience in data science or related fields.
• Expert in programming-based analytics, with experience in two or more languages such as SQL, R, or Python.
• Proven experience in building statistical models, segmentations, and predictive or propensity models, including clustering, neural networks, scenario analysis, conceptual modelling, and hypothesis testing.
• Good understanding of machine learning algorithm design principles and model management practices.
• Able to work effectively in a fast-paced, multidisciplinary, and competitive environment.
• Strong analytical skills, deductive reasoning, problem-solving, and critical thinking abilities.
• Able to collaborate with other teams to drive positive outcomes.
• Strong business acumen and project management skills, with the ability to manage multiple priorities.
• Added bonus if the candidate has experience with Big Data platforms (especially unstructured data) and deep learning.
• Strong sense of urgency and accountability to drive business outcomes.

#J-18808-Ljbffr

**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**This role supports the development and execution of analytics strategies that align with AIA’s strategic goals and business growth. • To support the Centre of Excellence for analytics solution strategy to enable AIA’s vision of promoting Healthier, Longer, Better Lives. • To be part of the data science team to deliver analytical work that drives business growth, enhances customer experience, improves productivity, and optimizes efficiencies. • To create valuable best practices that can be replicated in other markets. • To produce best practice analytics solutions that support business decisions with measurable success, driving growth and effectiveness. • To deliver the analytics workplan in collaboration with the Insights team and business users, ensuring timely and high-quality output that meets business needs.**Roles & Responsibilities:*** To be part of the data science team in delivering analytical work that supports business execution, contributing to business growth, enhancing customer experience, improving productivity, and optimizing efficiencies.* To create valuable best practices that can be replicated across other markets.* To produce best practice analytics solutions that support business decisions with measurable success, driving growth and effectiveness.* To deliver the analytics workplan in collaboration with the Insights team and business users, ensuring high-quality output that aligns with business pace and priorities.**Job Requirements:*** Bachelor's Degree or Master's in any relevant field of study is required.* Minimum 3 years of experience in data science or related fields.* Expert in programming-based analytics, with experience in two or more languages such as SQL, R, or Python.* Proven experience in building statistical models, segmentations, and predictive or propensity models, including clustering, neural networks, scenario analysis, conceptual modelling, and hypothesis testing.* Good understanding of machine learning algorithm design principles and model management practices.* Able to work effectively in a fast-paced, multidisciplinary, and competitive environment.* Strong analytical skills, deductive reasoning, problem-solving, and critical thinking abilities.* Able to collaborate with other teams to drive positive outcomes.* Strong business acumen and project management skills, with the ability to manage multiple priorities.* Added bonus if the candidate has experience with Big Data platforms (especially unstructured data) and deep learning.* Strong sense of urgency and accountability to drive business outcomes.*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.*
#J-18808-Ljbffr