683 Data Science Manager jobs in Singapore

Overview
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Data Science Manager, Growth Analytics
role at
Airwallex .
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About Airwallex
Airwallex is the only unified payments and financial platform for global businesses. Powered by our unique combination of proprietary infrastructure and software, we empower over 150,000 businesses worldwide – including Brex, Rippling, Navan, Qantas, SHEIN and many more – with fully integrated solutions to manage everything from business accounts, payments, spend management and treasury, to embedded finance at a global scale.
Proudly founded in Melbourne, we have a team of over 1,800 of the brightest and most innovative people in tech across 26 offices around the globe. Valued at US$6.2 billion and backed by world-leading investors, Airwallex is building the global payments and financial platform of the future. If you’re ready to do the most ambitious work of your career, join us.
Attributes We Value
We hire successful builders with founder-like energy who want real impact, accelerated learning, and true ownership. You bring strong role-related expertise and sharp thinking, and you’re motivated by our mission and operating principles. You move fast with good judgment, dig deep with curiosity, and make decisions from first principles, balancing speed and rigor. You’re humble and collaborative; turn zero‐to‐one ideas into real products, and you “get stuff done” end-to-end. You use AI to work smarter and solve problems faster. Here, you’ll tackle complex, high‐visibility problems with exceptional teammates and grow your career as we build the future of global banking. If that sounds like you, let’s build what’s next.
About The Team
As a global team, we span across Australia, China, USA, and Singapore, revolutionizing applied data science, data engineering and platform solutions to support Airwallex's rapid growth. You will collaborate with a diverse range of cross-functional partners, including Product, Engineering, Marketing, Sales, Finance, and more, to tackle complex data problems and shape the future of fintech.
What You’ll Do
We’re seeking a passionate, experienced Data Science Manager to lead our Growth Analytics team. This team drives data-driven decision-making and builds solutions that accelerate Airwallex’s growth. You will be a strategic partner to cross-functional leaders across Growth, Sales, Marketing, and Product to identify opportunities, optimize strategies, and unlock scalable growth using data science and analytics. This role is based in Singapore.
Responsibilities
Operate as a strategic thought partner with Growth, Marketing, Sales, and Data Science leaders to define and implement Airwallex’s growth strategy
Guide the team in applying a variety of data science techniques—root-cause analysis, statistical modeling, and experimentation—to identify opportunities and drive product-led growth (acquisition, activation, retention, reactivation)
Establish insight-driven approaches to address key business problems and drive business impact
Build scalable measurement frameworks that enable consistent, data-driven decision-making across teams and inform growth strategy
Clearly and persuasively communicate data insights and recommendations to technical and non-technical audiences, ensuring findings influence stakeholders at all levels
Translate open-ended business problems into clearly defined data science initiatives for the team to implement
Build, mentor, and manage a high-performing and inclusive team of data scientists, fostering a collaborative environment
Who You Are
We're looking for people who meet the minimum qualifications for this role. The preferred qualifications are great to have, but are not mandatory.
Minimum Qualifications
8+ years industry experience and a degree in a quantitative field (e.g. Statistics, Engineering, Sciences, Computer Science, Economics). Advanced degree (PhD or MS) preferred
2+ years of management experience in data science or data analytics
Excellent communication and interpersonal skills; proven ability to build strong relationships and influence senior stakeholders across functions
Demonstrated experience applying data science to drive growth initiatives with concrete impact
Strong skills in SQL and Python/R; experience with data modeling a plus
Preferred Qualifications
Experience in technology, financial services and/or a high growth environment is advantageous
#singapore
Equal opportunity
Airwallex is proud to be an equal opportunity employer. We value diversity and anyone seeking employment at Airwallex is considered based on merit, qualifications, competence and talent. We don’t regard color, religion, race, national origin, sexual orientation, ancestry, citizenship, sex, marital or family status, disability, gender, or any other legally protected status when making our hiring decisions. If you have a disability or special need that requires accommodation, please let us know.
Airwallex does not accept unsolicited resumes from search firms/recruiters. Airwallex will not pay any fees to search firms/recruiters if a candidate is submitted by a search firm/recruiter unless an agreement has been entered into with respect to specific open position(s). If you are approached by someone claiming to represent Airwallex, please verify with our team.
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• Great Working Environment
• WFH / Hybrid Working Arrangement
• Excellent Exposure and Opportunities

• Leadership: Guide, motivate, and manage a lean team of data scientists and web developers to meet their targets regarding product volume, timeliness, completeness, and accuracy. Key duties include training, goal setting, resource allocation, performance management, and promoting staff development. Ensure meticulous documentation of all processes.
• Product Innovation and Process Improvement:
• Review and redesign data models and algorithms to ensure the accuracy and up-to-dateness of data products.
• Optimize the utilization of internal and external data sources and drive necessary changes and enhancements.
• Stakeholder Engagement: Collaborate closely with senior leadership, sales, marketing, and tech partners to thoroughly understand, document, analyze, and convert customer needs into product priorities, roadmap plans, and detailed specifications

• A Bachelor's degree with a strong math and programming background with experience in a related field and a minimum of 5 years of experience in the analytics domain.
• Proven track record of solving challenging problems by applying Advanced Analytics (Predictive/Casual/Optimization).
• A minimum one year's experience of managing and motivating a team within a commercial data/information operation, creating new metrics, indices, and performance measurement.
• Advanced usage of R and Python. Strong ability to analyze, interpret and present data using advanced graphing software e.g. Tableau, D3, QlikView, Highcharts, Superset.
• Experience with sourcing data sets from publicly available sources and indexing external websites.
• Experience with large data sets and ability to work with both structured and unstructured data.
• Familiarity with software development methodologies, e.g., Agile, Feature Driven Development, Rapid Application Development.
• Have a mindset to streamline and automate processes. Experience using AI tools and Foundational Models to automate processes or workflows would be highly advantageous.
• Expert analytical thinking and thought leadership skills, with a knack for communicating analytical findings to senior management.
• A self-driven professional who excels both individually and in a team setting. Excellent communication, interpersonal, and negotiation skills are essential, as is comfort in working with multiple teams globally in virtual environment

Overview
IQPC provides business executives around the world with tailored practical conferences, large-scale events, topical seminars, in-house training programs, and a full suite of B2B digital opportunities, keeping them up-to-date with industry trends. IQPC produces over 1,500 events worldwide annually and continues to experience growth. Founded in 1973, IQPC now has offices in major cities across six continents including Berlin, Dubai, London, New York, Singapore, Sydney and Tampa. IQPC's large-scale conferences are market leading “must attend” events for their respective industries.
SSON Research & Analytics (SSON R&A) is the global data analytics center of the Shared Services & Outsourcing Network (SSON), a division of IQPC. At SSON R&A, we offer visual data insights that are simple, accurate, and digestible through a variety of data tools, analytics reports and expert advisory services to the SSON community – shared services and global business services executives who leverage technology and best practices to improve operational efficiency.
Responsibilities
Leadership: Guide, motivate, and manage a lean team of data scientists and web developers to meet targets regarding product volume, timeliness, completeness, and accuracy. Key duties include training, goal setting, resource allocation, performance management, and promoting staff development. Ensure meticulous documentation of all processes.
Product Innovation and Process Improvement: Review and redesign data models and algorithms to ensure the accuracy and up-to-dateness of data products. Optimize the utilization of internal and external data sources and drive necessary changes and enhancements.
Stakeholder Engagement: Collaborate closely with senior leadership, sales, marketing, and tech partners to thoroughly understand, document, analyze, and convert customer needs into product priorities, roadmap plans, and detailed specifications.
Requirements
A Bachelor's degree with a strong math and programming background with experience in a related field and a minimum of 5 years of experience in the analytics domain.
Proven track record of solving challenging problems by applying Advanced Analytics (Predictive/Causal/Optimization).
A minimum one year’s experience of managing and motivating a team within a commercial data/information operation, creating new metrics, indices, and performance measurement.
Advanced usage of R and Python. Strong ability to analyze, interpret and present data using advanced graphing software e.g. Tableau, D3, QlikView, Highcharts, Superset.
Experience with sourcing data sets from publicly available sources and indexing external websites.
Experience with large data sets and ability to work with both structured and unstructured data.
Familiarity with software development methodologies, e.g., Agile, Feature Driven Development, Rapid Application Development.
Have a mindset to streamline and automate processes. Experience using AI tools and Foundational Models to automate processes or workflows would be highly advantageous.
Expert analytical thinking and thought leadership skills, with a knack for communicating analytical findings to senior management.
A self-driven professional who excels both individually and in a team setting. Excellent communication, interpersonal, and negotiation skills are essential, as is comfort in working with multiple teams globally in virtual environment.
We are seeking a candidate for the role of Data Analyst/Scientist who not only possesses experience in data analytics/science but also demonstrates exceptional business acumen. Additionally, the ideal candidate should be capable of simplifying and effectively communicating complex information to a team of non-technical executives.
Join us in leading the way to transform data into insights, translating insights into action, and driving tangible business outcomes.
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• Great Working Environment
• WFH / Hybrid Working Arrangement
• Excellent Exposure and Opportunities

IQPC provides business executives around the world with tailored practical conferences, large-scale events, topical seminars, in-house training programs, and delivers a full suite of B2B digital opportunities, keeping them up-to-date with industry trends. IQPC produces over 1,500 events worldwide annually and continues to experience growth. Founded in 1973, IQPC now has offices in major cities across six continents including Berlin, Dubai, London, New York, Singapore, Sydney and Tampa. IQPC's large-scale conferences are market leading “must attend” events for their respective industries.

SSON Research & Analytics (SSON R&A) is the global data analytics center of the Shared Services & Outsourcing Network (SSON), a division of IQPC. At SSON R&A, we offer visual data insights that are simple, accurate, and digestible through a variety of data tools, analytics reports and expert advisory services to the SSON community – shared services and global business services executives who leverage technology and best practices to improve operational efficiency.

Job description:

We are looking for an experienced Data Analytics/Science Manager who combines entrepreneurial mind-set, strong leadership qualities, and exceptional business acumen. This role involves steering our data team’s daily operations and driving the innovation of our data products. Your work will significantly enhance the data insights delivered to our B2B clients by utilizing a combination of internal and external datasets.

As an integral member of the SSON R&A team, you will take the lead in communicating the team’s strategic projects to various internal stakeholders.

Responsibilities:

• Leadership: Guide, motivate, and manage a lean team of data scientists and web developers to meet their targets regarding product volume, timeliness, completeness, and accuracy. Key duties include training, goal setting, resource allocation, performance management, and promoting staff development. Ensure meticulous documentation of all processes.
• Product Innovation and Process Improvement:
• Review and redesign data models and algorithms to ensure the accuracy and up-to-dateness of data products.
• Optimize the utilization of internal and external data sources and drive necessary changes and enhancements.
• Stakeholder Engagement: Collaborate closely with senior leadership, sales, marketing, and tech partners to thoroughly understand, document, analyze, and convert customer needs into product priorities, roadmap plans, and detailed specifications

Requirements:

• A Bachelor's degree with a strong math and programming background with experience in a related field and a minimum of 5 years of experience in the analytics domain.
• Proven track record of solving challenging problems by applying Advanced Analytics (Predictive/Casual/Optimization).
• A minimum one year’s experience of managing and motivating a team within a commercial data/information operation, creating new metrics, indices, and performance measurement.
• Advanced usage of R and Python. Strong ability to analyze, interpret and present data using advanced graphing software e.g. Tableau, D3, QlikView, Highcharts, Superset.
• Experience with sourcing data sets from publicly available sources and indexing external websites.
• Experience with large data sets and ability to work with both structured and unstructured data.
• Familiarity with software development methodologies, e.g., Agile, Feature Driven Development, Rapid Application Development.
• Have a mindset to streamline and automate processes. Experience using AI tools and Foundational Models to automate processes or workflows would be highly advantageous.
• Expert analytical thinking and thought leadership skills, with a knack for communicating analytical findings to senior management.
• A self-driven professional who excels both individually and in a team setting. Excellent communication, interpersonal, and negotiation skills are essential, as is comfort in working with multiple teams globally in virtual environment

We are seeking a candidate for the role of Data Analyst/Scientist who not only possesses experience in data analytics/science but also demonstrates exceptional business acumen. Additionally, the ideal candidate should be capable of simplifying and effectively communicating complex information to a team of non-technical executives

Join us in leading the way to transform data into insights, translating insights into action, and driving tangible business outcomes.

**(What the role is)**The Government Technology Agency (GovTech) is the lead agency driving Singapore’s Smart Nation initiatives and public sector digital transformation. As the Centre of Excellence for Infocomm Technology and Smart Systems (ICT & SS), GovTech develops the Singapore Government’s capabilities in Data Science & Artificial Intelligence, Application Development, Smart City Technology, Digital Infrastructure, and Cybersecurity. At GovTech, we offer you a purposeful career to make lives better. We empower our people to master their craft through continuous and robust learning and development opportunities all year round. Our GovTechies embody our Agile, Bold and Collaborative values to deliver impactful solutions. GovTech aims to transform the delivery of Government digital services by taking an "outside-in" view, putting citizens and businesses at the heart of everything we do. Play a part in Singapore’s vision to build a Smart Nation and embark on your meaningful journey to build tech for public good. Join us to advance our mission and shape your future with us today! Learn more about GovTech at tech.gov.sg.**(What you will be working on)**At Ministry of Trade & Industry (MTI), we are always on the lookout for high performing individuals who share our aspiration of making Singapore a conducive environment for entrepreneurs and enterprises to tap its diverse opportunities.As a Data Science Manager (Assistant Director / Staff Data Scientist), you will drive the productisation and operationalisation of AI models and applications used across the ministry, our departments and statutory boards. You will lead technical implementation, system integration, and performance engineering — while strengthening our internal AI platform and tooling.**Our Team**You will be part of the **Ministry Family CIO Office (MFCO)**, which leads MTI’s digital product development, innovation, and platform strategy. MFCO works closely with policy and corporate divisions to design and deliver meaningful, scalable digital solutions across the ministry.This role focuses on leading the evaluation, development/ configuration and optimisation of generative AI and LLM solutions for policy making, knowledge management, employee productivity, Government-to-Business (G2B) service delivery, and developing the infrastructure needed to deploy them safely and effectively. You will also contribute to MTI’s AI strategy, portfolio and uplifting our functional capabilities and the competencies of MTI officers so that they are confident in using AI in their everyday work.**Roles & Responsibilities:***AI Strategy and Portfolio*** Work closely with Strategy & Planning teams to define and maintain the AI strategy for MTI and the Ministry Family, ensuring the plan is technically feasible.* Work closely with stakeholders and product managers to manage the AI portfolio and supporting strategies for structured and unstructured data.* Create long-term technical plans and roadmap for the AI portfolio. Update it regularly to meet future business needs and infrastructure requirements.**AI Productisation and System Integration*** Lead data scientists/ engineers to develop prototypes which address business problems and promote them into production-ready solutions.* Design and deploy scalable AI pipelines that support the real-time integration of LLMs and ML models into internal and external digital platforms.* Ensure systems are robust, maintainable, and tuned for performance, latency, and cost-effectiveness.**AI Infrastructure and Optimisation*** Establish the AI technology stack for MTI and the Ministry Family ensuring alignment with central services and local infrastructure.* Lead efforts to optimise models for inference speed, memory usage, and production readiness.* Oversee the benchmarking and evaluation of AI solutions, models and frameworks.**Engineering Culture and Tooling*** Establish best practices in model deployment, testing, and observability.* Contribute to reusable components, libraries, and infrastructure that support other AI and product teams.* Mentor engineers on best practices for AI evaluation, model reliability, and technical excellence.**(What we are looking for)*** **Engineering Leadership** – Lead implementation across model deployment, observability, and infrastructure design with a focus on reliability and performance.* **Performance and Optimisation** – Improve model inference speed and cost efficiency while ensuring high-quality outputs.* **Infrastructure Tooling** – Build infrastructure to support the strategy of MTI and drive synergies out of the diverse needs and maturity in the Ministry Family.* **Collaboration and Execution** – Work closely with business owners, product managers, data scientists/ engineers and data teams to deliver real-world, production-ready solutions.**Required Qualifications and Experience*** Right candidate must be technically hands on and experience in all parts of the technology stack: client side, back end, infrastructure, performance, data, and others.* Worked on the full stack development and built end-to-end systems in a digital product environment including user interfaces, APIs, backend systems, and database systems.* Very well versed in the software development using Agile, modular design, pair programming, software automation, continuous integration, continuous delivery, and infrastructure automation.* Experience building and deploying ML models in production environments (e.g. REST/gRPC endpoints, containerised models, model serving platforms).* Proficiency in Python and experience with ML/AI frameworks.* Experience with evaluation frameworks, CI/CD pipelines, and monitoring stacks.* Strong systems thinking and performance engineering mindset.* Familiarity with techniques for safe deployment, evaluation metrics, model guardrails, and A/B testing in ML systems.* Have a strong sense of what it means to be a technical leader, particularly as it relates to the suite of soft skills beyond just your technical chops.* Passion towards engineering excellence; you deeply understand that software engineering is a team sport, and you take pride in the craftsmanship aspect of software engineering.* The ability to guide a team to achieve important goals together.* Minimally 5+ year of development experience in machine learning engineering, or AI infrastructure roles; and 2+ years of experience coaching developers, helping them enhance their performance and grow their careers.**Join Us**If you’re excited to turn cutting-edge AI into robust, production-ready systems that power the future of education — we’d love to hear from you. Join us to build AI solutions that matter for the next generation of learners, educators, and public service!GovTech is an equal opportunity employer committed to fostering an inclusive workplace that values diverse voices and perspectives, as we believe it is key to innovation.Our employee benefits are based on a total rewards approach, offering a holistic and market-competitive suite of perks.We champion flexible work arrangements (subject to your job role) and trust you to manage your time to deliver your best.Learn more about life inside GovTech at go.gov.sg/GovTechCareers.The Singapore Public Service plays a key role in the economic growth, progress and stability of Singapore by formulating and implementing government policies, as well as providing key public services. Whether you are a fresh graduate joining the workforce or an experienced professional, the Singapore Public Service offers a great variety of job opportunities for you. The work in the Public Service can be broadly categorised into the following sectors: Economic, Social, Security & External Relations, and Administration & Corporate Development.Be part of the team that shapes the future of Singapore. Log on and take your first step towards a career that matters!
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The Innovation Lab

The Strategic Analytics Innovation Lab (SAIL) is part of the global Strategic Analytics team and based in Singapore. The lab will:

• Act as a 'centre of excellence' for data science / analytics research initiatives (e.g. predictive underwriting, data mining, machine learning-enabled analysis.
• Deliver innovative solutions for the life insurance market, including underwriting rules engine design, portfolio risk management, product pricing and development, and sales processes.
• Act as a global 'co-hub' for data science initiatives along with the Strategic Analytics team based in London, but with greater focus on Asia/Australia market initiatives,
• Encourage the adoption and upskilling of Singapore-based pricing and research staff through training and exposure to data science projects, and allow PLRe to attract and cultivate new talent within Singapore,
• Allow better co-ordination between PLRe's research and analytics resources located in Europe, Toronto, Asia, and Australia given geography / timezones.

The Role

Given that the Innovation Lab will act as a 'co-hub' for Strategic Analytics divisionally, the role will help to undertake the collection, validation, and analysis of Pacific Life Re's unique insurance data sources across offices globally, and work with the existing Strategic Analytics personnel based in London and Australia. The role will be responsible for delivering projects for APAC and the global markets Pacific Life Re operate in, developing innovative insurance solutions utilising insights derived from predictive analytics.

The role will work closely with a variety of teams within Pacific Life Re and our subsidiary insurtech company UnderwriteMe, including R&D, Pricing, Underwriting, and Sales & Marketing. Given the nature of the role, engagement with third parties (e.g. academic institutions, clients, industry groups) will also be necessary to build partnerships and explore new sources of data and opportunities to innovate.

Duties

• Work on and lead targeted predictive analytics and projects for Pacific Life Re and UnderwriteMe clients - collaborating with clients and internal stakeholders on projects or research with innovative data utilisation and predictive modelling aspects,
• Support the integration of data science techniques and insights derived from projects into broader R&D, including projects that link to developing cutting edge Terms of Trade and capital risk assumptions,
• Support product development efforts related to the above,
• Work with third parties and clients to identify and integrate new data sources which could improve risk and product propositions,
• Actively participate in research-related initiatives, sharing expertise at industry and PLRe events, and to lead analytics projects in conjunction with direct insurance companies and other partners,
  Help to upskill other APAC teams by conducting training and knowledge sharing related to predictive analytics and data science

Qualifications & Experience

• Bachelor degrees in statistics, computer science, mathematics, Actuarial Science, or related disciplines
• Strong mathematical background and experience relevant to developing statistical and machine learning models, including the associated data preparations and data visualisations
• Strong knowledge and experience in associated relevant tools (Python/R, SQL, Tableau, etc)
• Minimum 7 years' experience working in life insurance in either a similar role or in an R&D, pricing, or experience analysis capacity.
• Previous experience conducting analytics projects within the broader insurance and reinsurance market
• Working knowledge of the products and markets Pacific Life Re operates in - including product terms, pricing approaches, underwriting, and distribution
• Experience with AWS or other cloud-based infrastructure & tools
• Sufficient data engineering and computer science knowledge to manage data science projects end-to-end and help provide steer for related data management and IT infrastructure
• Ability to work independently and in collaboration with a wide variety of stakeholders with differing technical backgrounds
• Strong communication and presentation skills, particularly in explaining complex issues in clear terms,
• Good organisational and project management skills, and the ability to manage multiple projects and various stakeholders simultaneously
• Strong mentoring skills to develop and train junior members of the team
• Enthusiastic, with a keen drive and focus

• Act as a 'centre of excellence' for data science / analytics research initiatives (e.g. predictive underwriting, data mining, machine learning-enabled analysis.
• Deliver innovative solutions for the life insurance market, including underwriting rules engine design, portfolio risk management, product pricing and development, and sales processes.
• Act as a global 'co-hub' for data science initiatives along with the Strategic Analytics team based in London, but with greater focus on Asia/Australia market initiatives,
• Encourage the adoption and upskilling of Singapore-based pricing and research staff through training and exposure to data science projects, and allow PLRe to attract and cultivate new talent within Singapore,
• Allow better co-ordination between PLRe's research and analytics resources located in Europe, Toronto, Asia, and Australia given geography / timezones.

• Work on and lead targeted predictive analytics and projects for Pacific Life Re and UnderwriteMe clients - collaborating with clients and internal stakeholders on projects or research with innovative data utilisation and predictive modelling aspects,
• Support the integration of data science techniques and insights derived from projects into broader R&D, including projects that link to developing cutting edge Terms of Trade and capital risk assumptions,
• Support product development efforts related to the above,
• Work with third parties and clients to identify and integrate new data sources which could improve risk and product propositions,
• Actively participate in research-related initiatives, sharing expertise at industry and PLRe events, and to lead analytics projects in conjunction with direct insurance companies and other partners,
• Help to upskill other APAC teams by conducting training and knowledge sharing related to predictive analytics and data science

• Bachelor degrees in statistics, computer science, mathematics, Actuarial Science, or related disciplines
• Strong mathematical background and experience relevant to developing statistical and machine learning models, including the associated data preparations and data visualisations
• Strong knowledge and experience in associated relevant tools (Python/R, SQL, Tableau, etc)
• Minimum 7 years' experience working in life insurance in either a similar role or in an R&D, pricing, or experience analysis capacity.
• Previous experience conducting analytics projects within the broader insurance and reinsurance market
• Working knowledge of the products and markets Pacific Life Re operates in - including product terms, pricing approaches, underwriting, and distribution
• Experience with AWS or other cloud-based infrastructure & tools
• Sufficient data engineering and computer science knowledge to manage data science projects end-to-end and help provide steer for related data management and IT infrastructure
• Ability to work independently and in collaboration with a wide variety of stakeholders with differing technical backgrounds
• Strong communication and presentation skills, particularly in explaining complex issues in clear terms,
• Good organisational and project management skills, and the ability to manage multiple projects and various stakeholders simultaneously
• Strong mentoring skills to develop and train junior members of the team
• Enthusiastic, with a keen drive and focus

You Lead the Way. We’ve Got Your Back.
With the right backing, people and businesses have the power to progress in incredible ways. When you join Team Amex, you become part of a global and diverse community of colleagues with an unwavering commitment to back our customers, communities and each other. Here, you’ll learn and grow as we help you create a career journey that’s unique and meaningful to you with benefits, programs, and flexibility that support you personally and professionally.
At American Express, you’ll be recognized for your contributions, leadership, and impact—every colleague has the opportunity to share in the company’s success. Together, we’ll win as a team, striving to uphold our company values and powerful backing promise to provide the world’s best customer experience every day. And we’ll do it with the utmost integrity, and in an environment where everyone is seen, heard and feels like they belong.
Join Team Amex and let's lead the way together.
Functional Description
Decision Science colleagues will serve as a key member of the Credit and Fraud Risk organization. We seek a thought-leader and a problem-solver who can blend business, technical, and industry best practices when it comes to developing the analyses, models, and algorithms that power our customers’ digital experiences.
This team is responsible for developing, implementing, and tracking AI/ML models for driving enterprise digital personalization in prospect marketing and automating data capability and model governance.
Our Decision Science teams use industry leading modeling and AI practices to predict customer behavior. We develop, deploy and validate predictive models and support the use of models in economic logic to enable profitable decisions across credit, fraud, marketing and servicing optimization engines.
The role will entail some of the below listed responsibilities:
Work with massive amounts of digital data (Web, App, API) and sophisticated tools in an industry leading Big Data environment.
Build everything from basic reports to advanced machine learning models and algos to drive improvements to our customer’s online and mobile app experiences.
Work with product owners to revolutionize the product and content design with a data-driven approach
Collaborate with tech partners to test, implement and deploy modeling solutions to production system.
Develop insights into customer behavior and introduce new approaches to transform complex behavioral data into actionable information
Leverage the power of closed loop through Amex network to make decisions more intelligent and relevant
Innovate with a focus on developing newer and better approaches using big data & machine learning solution
Minimum qualifications and skills required across role types are highlighted below:
Masters/PhDs in a quantitative field (Computer Science, Statistics, Mathematics, Physics, Operation Research etc.) with hands-on experience leveraging sophisticated analytical and machine learning techniques.
Expertise in an analytical language (Python, R or the equivalent), and experience with databases (Hive, SQL, or the equivalent). Knowledge of SAS is a plus but not required.
Deep understanding of machine learning/statistical algorithms such as deep learning and boosting. Experience with data visualization is a plus
Minimum 1 year of experience in marketing modeling
Demonstrated ability to frame business problems into mathematical programming problems, leverage external thinking and tools (from academia and/or other industries) to engineer a solution and deliver business insights
Ability to work effectively in a team environment
Independent thinker who’s organized, has great attention to detail, and can multi-task
Strong communication skills
Ability to learn quickly and work independently with sophisticated, unstructured initiative
Ability to integrate with cross-functional business partners worldwide
Proficient in presentation tools, including Excel and PowerPoint
We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally:
Competitive base salaries
Bonus incentives
Support for financial-well-being and retirement
Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location)
Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
Generous paid parental leave policies (depending on your location)
Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
Free and confidential counseling support through our Healthy Minds program
Career development and training opportunities
Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.
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