What Jobs are available for Science Advisor in Hong Kong?

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

The Agency department of AIA Insurance is seeking a skilled and results-driven Data Scientist to join our dynamic team. The successful candidate will leverage advanced analytical techniques and machine learning models to drive business decisions, optimize processes, and enhance customer experiences. You will collaborate with cross-functional teams to apply data-driven insights to a range of business problems, contributing directly to the company's digital transformation in the insurance industry.

Roles and Responsibilities:

• Data Analysis & Actionable Insights: Apply advanced statistical techniques to analyze large datasets, identify patterns, and build predictive models that address business challenges and provide actionable insights to business.
• Machine Learning Models: Develop and deploy machine learning models and algorithms to solve complex problems in agent performance, and policy optimization. Work with algorithms such as decision trees, SVM, clustering, ensemble methods, and deep learning models.
• Data Engineering: Ensure data quality by cleaning, transforming, and processing large datasets from multiple sources.
• Collaboration: Work closely with business stakeholders, including agency leaders, product managers, and IT to understand business requirements and translate them into data science solutions.
• Presentation and data story-telling: Create impactful presentations to effectively communicate insights to non-technical stakeholders and guide strategic decision-making.

Minimum Job Requirements:

Education:

• A Bachelor's or Master's degree in a quantitative field such as Data Science, Computer Science, Statistics, Mathematics. PhD candidates are welcome to apply.

Technical Skills:

• Proficiency in programming languages such as Python and SQL.
• Experience with machine learning frameworks like Pandas, NumPy, TensorFlow, Keras, or PyTorch.
• Strong knowledge of statistical analysis techniques and modeling methods.
• Familiarity with big data technologies such as Hadoop, Spark, or Databricks.
• Expertise in SQL for data manipulation and querying.
• Experience with data visualization tools like Tableau, Power BI.

Experience:

• Minimum 3–5 years of professional experience as a Data Scientist, preferably in the insurance sectors.
• Proven track record of developing and implementing machine learning models in production environments.
• Strong ability to work with large, complex datasets and derive actionable insights.

Personal Attributes

• Strong problem-solving skills with a keen analytical mindset.
• Strong coding skills.
• Ability to communicate complex technical concepts to non-technical stakeholders.
• Excellent teamwork and collaboration skills in a cross-functional environment.
• Detail-oriented with the ability to maintain accuracy in high-pressure situations.
• Self-motivated and curious, always seeking opportunities for innovation and improvement.

Others:

• You are required to obtain relevant license if your job involves in regulated activities

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.

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
The Agency department of AIA Insurance is seeking a skilled and results-driven Data Scientist to join our dynamic team. The successful candidate will leverage advanced analytical techniques and machine learning models to drive business decisions, optimize processes, and enhance customer experiences. You will collaborate with cross-functional teams to apply data-driven insights to a range of business problems, contributing directly to the company's digital transformation in the insurance industry.

Roles And Responsibilities

• Data Analysis & Actionable Insights: Apply advanced statistical techniques to analyze large datasets, identify patterns, and build predictive models that address business challenges and provide actionable insights to business.
• Machine Learning Models: Develop and deploy machine learning models and algorithms to solve complex problems in agent performance, and policy optimization. Work with algorithms such as decision trees, SVM, clustering, ensemble methods, and deep learning models.
• Data Engineering: Ensure data quality by cleaning, transforming, and processing large datasets from multiple sources.
• Collaboration: Work closely with business stakeholders, including agency leaders, product managers, and IT to understand business requirements and translate them into data science solutions.
• Presentation and data story-telling: Create impactful presentations to effectively communicate insights to non-technical stakeholders and guide strategic decision-making.

Education
Minimum Job Requirements:

• A Bachelor's or Master's degree in a quantitative field such as Data Science, Computer Science, Statistics, Mathematics. PhD candidates are welcome to apply.

Technical Skills

• Proficiency in programming languages such as Python and SQL.
• Experience with machine learning frameworks like Pandas, NumPy, TensorFlow, Keras, or PyTorch.
• Strong knowledge of statistical analysis techniques and modeling methods.
• Familiarity with big data technologies such as Hadoop, Spark, or Databricks.
• Expertise in SQL for data manipulation and querying.
• Experience with data visualization tools like Tableau, Power BI.

Experience

• Minimum 3–5 years of professional experience as a Data Scientist, preferably in the insurance sectors.
• Proven track record of developing and implementing machine learning models in production environments.
• Strong ability to work with large, complex datasets and derive actionable insights.

Personal Attributes

• Strong problem-solving skills with a keen analytical mindset.
• Strong coding skills.
• Ability to communicate complex technical concepts to non-technical stakeholders.
• Excellent teamwork and collaboration skills in a cross-functional environment.
• Detail-oriented with the ability to maintain accuracy in high-pressure situations.
• Self-motivated and curious, always seeking opportunities for innovation and improvement.

Others

• You are required to obtain relevant license if your job involves in regulated activities

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.

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


The Agency department of AIA Insurance is seeking a skilled and results-driven Data Scientist to join our dynamic team. The successful candidate will leverage advanced analytical techniques and machine learning models to drive business decisions, optimize processes, and enhance customer experiences. You will collaborate with cross-functional teams to apply data-driven insights to a range of business problems, contributing directly to the company's digital transformation in the insurance industry.



Roles and Responsibilities:

• Data Analysis & Actionable Insights: Apply advanced statistical techniques to analyze large datasets, identify patterns, and build predictive models that address business challenges and provide actionable insights to business.
• Machine Learning Models: Develop and deploy machine learning models and algorithms to solve complex problems in agent performance, and policy optimization. Work with algorithms such as decision trees, SVM, clustering, ensemble methods, and deep learning models.
• Data Engineering: Ensure data quality by cleaning, transforming, and processing large datasets from multiple sources.
• Collaboration: Work closely with business stakeholders, including agency leaders, product managers, and IT to understand business requirements and translate them into data science solutions.
• Presentation and data story-telling: Create impactful presentations to effectively communicate insights to non-technical stakeholders and guide strategic decision-making.

• A Bachelor's or Master's degree in a quantitative field such as Data Science, Computer Science, Statistics, Mathematics. PhD candidates are welcome to apply.

• Proficiency in programming languages such as Python and SQL.
• Experience with machine learning frameworks like Pandas, NumPy, TensorFlow, Keras, or PyTorch.
• Strong knowledge of statistical analysis techniques and modeling methods.
• Familiarity with big data technologies such as Hadoop, Spark, or Databricks.
• Expertise in SQL for data manipulation and querying.
• Experience with data visualization tools like Tableau, Power BI.

• Minimum 5 years of professional experience as a Data Scientist, preferably in the insurance sectors.
• Proven track record of developing and implementing machine learning models in production environments.
• Strong ability to work with large, complex datasets and derive actionable insights.

• Strong problem-solving skills with a keen analytical mindset.
• Strong coding skills.
• Ability to communicate complex technical concepts to non-technical stakeholders.
• Excellent teamwork and collaboration skills in a cross-functional environment.
• Detail-oriented with the ability to maintain accuracy in high-pressure situations.
• Self-motivated and curious, always seeking opportunities for innovation and improvement.

• You are required to obtain relevant license if your job involves in regulated activities

招聘職位 Job Title

中國科學院香港創新研究院科技處項目管理

Coordinator, Scientific and Technological Department, Hong Kong institute of Science & Innovation, Chinese Academy of Sciences

工作地址 Office Address

中國香港特別行政區新界沙田白石角香港科學園10W 7層

7/F, Building 10W (Lakeside 2), Hong Kong Science Park West Avenue 10, Sha Tin

工作職責 Responsibilities

1.負責聯繫國家科技部、國家自然科學基金委、香港創新科技署等內地及香港相關科技管理部門,組織科研項目申報工作;

Liaise with relevant technology management authorities in mainland China and Hong Kong, including the Ministry of Science and Technology, the National Natural Science Foundation of China, and the Hong Kong Innovation and Technology Commission, and organize research project applications.

2.負責聯繫中國科學院各院屬單位,科研項目策劃、組織申報和管理工作;

Coordinate with the institutions under the Chinese Academy of Sciences to plan, apply for, and manage projects.

3.承擔重大科技活動和學術活動的組織協調;

Organize and coordinate major scientific and academic events.

4.負責知識產權和成果轉化管理工作;

Manage intellectual property and technology transfer on a daily basis.

5.負責對外科技合作和課題管理工作;

Oversee international scientific cooperation and research project management.

6.負責領導交辦的其他工作。

Perform other duties as assigned by leadership.

應聘條件 Requirements

1.具有良好道德品質及職業操守,愛國愛港,遵紀守法;

Demonstrates excellent moral character and professional ethics; patriotic, committed to Hong Kong SAR, and compliant with laws and regulations.

2.碩士研究生學歷並具有3年及以上相關工作經驗,過往業績良好,或具有博士研究生學歷;

Holds a master's degree with generally 3 or more years of relevant work experience and a proven track record of performance, or a doctoral degree.

3.具有較高的職業素質,較強的責任心,服務意識及溝通協調能力;

Possesses strong professional qualities, a high sense of responsibility, service orientation, and excellent communication and coordination skills.

4.具有良好的普通話、英語、粵語書寫和表達能力。

Proficient in written and spoken Mandarin, English, and Cantonese.

5.信息技術或生命科技專業領域優先。

Priority given to candidates with academic backgrounds in information technology or life sciences.

應聘事項 Remarks

薪酬福利綜合確定,以最終簽訂的僱傭合約為準。

Remuneration package shall be reviewed with consideration, and subject to the Employment Contract.

自發佈招聘啟事起,凡符合應聘條件的人員均可報名。

Since release of the job ads, all interested applicants are welcomed to apply.

In Hong Kong - Hong Kong

Looking for an innovative, agile work environment where you can have an impact on big-name companies and startups? Join Simon Kucher's service line for digital consulting projects "Elevate".

Be part of a dynamic team delivering digital growth by combining specialist knowledge in tech and data with creativity to deliver end-to-end projects with proven impact across industries.

Help businesses make informed decisions and drive growth by transforming raw data into actionable insights. Ready to boost your personal development in data science, analytics, and AI? Become a pioneer of the digital transformation and support us as a Data Science Consultant.

What makes us special:

• Become part of a unique entrepreneurial team. Think independently, use your initiative, and take some risks. Entrepreneurship is a powerful force that drives the growth not only of our firm but our clients and people.
• Unlock the power of opportunity. Advance your career in a thriving company that creates positive impact. We invest in your professional development every step of the way.
• Enjoy balance and flexible working. Be empowered to do your best work – whether it's remotely or in the office.
• Prioritize your health and wellbeing. No matter where you live, we offer a competitive suite of health benefits to help keep you and your loved ones safe.
• Work in a values-driven culture. At Simon-Kucher, our vision is to become the world's leading growth specialist. Our values guide the way we do business and communicate our distinctiveness. They sum up what we stand for, influence our culture, and drive how and why we do things.

How you will create an impact:

• Work on solving interesting problems for clients in the space of commercial excellence, i.e., pricing, sales and go to market, or all activities related to growth topics
• Work across different industries, e.g., B2B, B2C, software, life sciences etc. in solving client's commercial problem
• Work with data, leveraging tools like Excel, Tableau, Power BI etc. to conduct deep and meaningful analyses. Draw insights to solve client's problems and give recommendations
• End-to-end ownership of workstreams within projects, which entails collecting data, conducting deep analysis, drawing insights, creating slides & engaging with stakeholders
• Contribute to the development of the Hong Kong office

Your profile:

• Degree in Computer Science, Statistics or related field would be ideal
• Experience with Python, SQL, GIT/Jira, Unix/Linux, Cloud Platforms (AWS/Azure) would be ideal
• Strong expertise in Business Analytics Modelling, BI/ Visualization Analytics (Power BI/Tableau), Business Analytics in R, Statistics with Python, Marketing Analytics
• Quick learner, inquisitive by nature, ability to learn independently
• Clear communication of highly technical material to general audience would be ideal
• A unique blend of Data Science technical understanding, deep industry expertise, and consulting experience would be most desirable
• Willingness and ability to work as part of a team

If you're interested, and if you'd like to offer your skills and commitment to our international team, then we would be pleased to receive your application.

Hit the 'Apply Now' button to begin your application

About Simon-Kucher

Simon-Kucher is a global consultancy with more than 2,000 employees in 30 countries. Our sole focus is on unlocking better growth that drives measurable revenue and profit for our clients. We achieve this by optimizing every lever of their commercial strategy – product, price, innovation, marketing, and sales – based on deep insights into what customers want and value. With 40 years of experience in monetization topics of all kinds, we are regarded as the world's leading pricing and growth specialist. simon- We believe in building a culture that embraces diversity, equity, and inclusion, creating an environment in which our people feel valued, are able to be themselves and feel their contribution matters. If we get that right, remarkable things will happen; people will grow faster, innovate, feel valued, and create better outcomes for everyone – our people, our clients and, of course, our business.

Your personal contact:

Melanie Weller

Melanie.-

Sia Partners is a next-generation consulting firm focused on delivering superior value and tangible results to its clients as they navigate the digital revolution. With over 2,400 consultants in 17 countries, we will generate an annual turnover of USD 300 million for the current fiscal year. Our global footprint and our expertise in more than 30 sectors and services allow us to enhance our clients' businesses worldwide.

We guide their projects and initiatives in strategy, business transformation, IT & digital strategy, and Data Science. As the pioneer of Consulting 4.0, we develop consulting bots and integrate AI in our solutions.

In 2024 we announced our exciting partnership with Blackstone as our first financial investor since inception to support our company's continued growth. We have also been ranked by Vault as a Top 20 Consulting Firm to work for in the APAC region for 2025.

Job Description

As a consultant in data science & analytics you will work on both local and international client engagements on data science topics, including data acquisition and exploration, building relevant models, and presenting results to stakeholders.

You will also contribute to internal data science projects hosted on Heka, our internal accelerator for data science projects:

As part of the global data science team, you will contribute to the development of various solutions designed to address our clients' needs.

Key responsibilities:

• Identify, acquire, process and explore relevant data sources.
• Analyze large amounts of structured and unstructured information to discover trends and patterns.
• Use your data analytics and data science expertise to derive valuable insights from datasets, build predictive models and machine-learning algorithms.
• Communicate at scale, through multiple mediums: presentations, dashboards, datasets, bots and more.
• Propose solutions and strategies to business challenges.
• Collaborate with engineering and product development teams.
• Contribute to a broad range of projects and deliverables, including models, algorithms, datasets, measurements, services, tools and processes.
• Evangelize data science in the region by contributing to training & upskilling as well as business development initiatives

Qualifications

• 1-3 years' experience as a Data Scientist or Data analyst (ideally in consulting)
• At least a bachelor's or equivalent degree in a relevant area of study (Data Science, Business Analytics, Statistics, Economics or a related field of study) from a top university
• Good skills in Python and ideally another analytical language (e.g., R, SQL)
• Problem-solving aptitude and strong business acumen
• Excellent communication and presentation skills
• English and Chinese (Cantonese and/or Mandarin) fluency a must
• Strong plus:
  Experience with data visualization tools (e.g., Tableau, PowerBI, R-shiny)
• Strong plus:
  Good understanding of statistical techniques and concepts
• Strong plus:
  Knowledge of Machine Learning techniques or optimization

Additional Information

What do we offer?

• Competitive salary & top tier benefits
• Training resources to further develop yourself as an expert in your discipline
• Opportunity to work with top tier clients in financial services, retail, and other sectors in HK and beyond
• Dynamic environment with many opportunities to take on responsibilities usually reserved for more experienced professionals

Sia is an equal opportunity employer. All aspects of employment, including hiring, promotion, remuneration, or discipline, are based solely on performance, competence, conduct, or business needs.

TransUnion's Job Applicant Privacy Notice

Personal Information We Collect

Your Privacy Choices

What We'll Bring
At TransUnion, we strive to build an environment where our associates are in the driver's seat of their professional development, while having access to help along the way. We encourage everyone to pursue passions and take ownership of their careers. With the support of colleagues and mentors, our associates are given the tools needed to get where they want to go. Regardless of job titles, our associates have the opportunity to learn new things and be a leader every day.

Come be a part of our team – you'll work with great people, pioneering products and cutting-edge technology.

What You'll Bring

• Bachelor's or higher in a quantitative field (e.g., statistics, applied mathematics, financial mathematics, computer science, engineering, operations research) with a strong academic record.
• 5 years or above experience in supporting clients and at least 4 years in analytics, ideally in industries like financial services, insurance, or digital marketing.
• Proven success in end-to-end model development for at least 4 years.
• Strong analytical, critical thinking, and problem-solving skills with a proactive mindset.
• Advanced programming skills and aptitude: proficiency with statistical programs such as R or Python; experience with other programming languages (SQL, C/C++, Java, Ab Initio) and platforms (Hive, Spark)
• Capable of leading complex analytics projects with minimal supervision and cross-functional collaboration.
• Excellent project/time management; able to handle multiple initiatives in a fast-paced environment.
• Strong business acumen and communication skills; able to influence stakeholders at all levels.
• Deep understanding of industry trends and customer needs to identify business opportunities.
• Skilled in translating technical insights into actionable business recommendations.
• Occasional travel required.

Impact You'll Make

• Partner with internal and external cross-functional teams to drive new business initiatives and deliver long term value-added product propositions for customers. This includes but is not limited to the development of predictive risk management and business intelligence solutions for credit card issuers, auto & mortgage lenders, collections agencies and retail banks.
• Lead analytics engagements across the consumer lending lifecycle using descriptive, predictive, and prescriptive techniques (e.g., segmentation, logistic regression, PCA, decision trees, random forests, XGBoost).
• Design and develop programs for data extraction, segmentation, and statistical analysis on large datasets using tools like R, SQL, and Hive.
• Deliver analytic insights and recommendations in succinct and compelling presentations for internal and external customers representing a wide range of backgrounds and levels.
• Develop project proposals, sales presentations and promotional collateral to enable the adoption of integrated customer solutions supported by TransUnion.
• Identify strategies and opportunities for customers to test and adopt TransUnion's analytic products and services.
• Mentor and train junior team members, fostering a high-performance culture aligned with TransUnion's values.

This is a hybrid position and involves regular performance of job responsibilities virtually as well as in-person at an assigned TU office location for a minimum of two days a week.

TransUnion's Internal Job Title
Consultant, Data Science and Analytics

What We'll Bring:

At TransUnion, we strive to build an environment where our associates are in the driver's seat of their professional development, while having access to help along the way. We encourage everyone to pursue passions and take ownership of their careers. With the support of colleagues and mentors, our associates are given the tools needed to get where they want to go. Regardless of job titles, our associates have the opportunity to learn new things and be a leader every day.

Come be a part of our team – you'll work with great people, pioneering products and cutting-edge technology.

What You'll Bring

• Bachelor's or higher in a quantitative field (e.g., statistics, applied mathematics, financial mathematics, computer science, engineering, operations research) with a strong academic record.
• 5 years or above experience in supporting clients and at least 4 years in analytics, ideally in industries like financial services, insurance, or digital marketing.
• Proven success in end-to-end model development for at least 4 years.
• Strong analytical, critical thinking, and problem-solving skills with a proactive mindset.
• Advanced programming skills and aptitude: proficiency with statistical programs such as R or Python; experience with other programming languages (SQL, C/C++, Java, Ab Initio) and platforms (Hive, Spark)
• Capable of leading complex analytics projects with minimal supervision and cross-functional collaboration.
• Excellent project/time management; able to handle multiple initiatives in a fast-paced environment.
• Strong business acumen and communication skills; able to influence stakeholders at all levels.
• Deep understanding of industry trends and customer needs to identify business opportunities.
• Skilled in translating technical insights into actionable business recommendations.
• Occasional travel required.

Impact You'll Make:

• Partner with internal and external cross-functional teams to drive new business initiatives and deliver long term value-added product propositions for customers. This includes but is not limited to the development of predictive risk management and business intelligence solutions for credit card issuers, auto & mortgage lenders, collections agencies and retail banks.
• Lead analytics engagements across the consumer lending lifecycle using descriptive, predictive, and prescriptive techniques (e.g., segmentation, logistic regression, PCA, decision trees, random forests, XGBoost).
• Design and develop programs for data extraction, segmentation, and statistical analysis on large datasets using tools like R, SQL, and Hive.
• Deliver analytic insights and recommendations in succinct and compelling presentations for internal and external customers representing a wide range of backgrounds and levels.
• Develop project proposals, sales presentations and promotional collateral to enable the adoption of integrated customer solutions supported by TransUnion.
• Identify strategies and opportunities for customers to test and adopt TransUnion's analytic products and services.
• Mentor and train junior team members, fostering a high-performance culture aligned with TransUnion's values.

This is a hybrid position and involves regular performance of job responsibilities virtually as well as in-person at an assigned TU office location for a minimum of two days a week.

What We'll Bring:

At TransUnion, we strive to build an environment where our associates are in the driver's seat of their professional development, while having access to help along the way. We encourage everyone to pursue passions and take ownership of their careers. With the support of colleagues and mentors, our associates are given the tools needed to get where they want to go. Regardless of job titles, our associates have the opportunity to learn new things and be a leader every day.

Come be a part of our team – you'll work with great people, pioneering products and cutting-edge technology.

What You'll Bring:

• Bachelor's or higher in a quantitative field (e.g., statistics, mathematics, computer science, engineering) with a strong academic record.
• 8 years or above experience in supporting clients and at least 4 years in analytics, ideally in industries like financial services, insurance, or digital marketing.
• Proven success in end-to-end model development for at least 4 years.
• Strong analytical, critical thinking, and problem-solving skills with a proactive mindset.
• Advanced programming skills and aptitude: proficiency with statistical programs such as R or Python; experience with other programming languages (SQL, C/C++, Java, Ab Initio) and platforms (Hive, Spark)
• Capable of leading complex analytics projects with minimal supervision and cross-functional collaboration.
• Excellent project/time management; able to handle multiple initiatives in a fast-paced environment.
• Strong business acumen and communication skills; able to influence stakeholders at all levels.
• Deep understanding of industry trends and customer needs to identify business opportunities.
• Skilled in translating technical insights into actionable business recommendations.
• Occasional travel required.

Impact You'll Make:

This position is responsible for developing credit risk management and business intelligence analytic solutions through consulting engagements and research serving TransUnion's clients. This position requires an understanding of consumer lending and credit risk management practices.

• Collaborate with internal and external cross-functional teams to drive strategic business initiatives and deliver long-term, value-added product solutions, including predictive risk and business intelligence tools for clients including credit card issuers, lenders, collections agencies, and retail banks.
• Lead analytics engagements across the consumer lending lifecycle using descriptive, predictive, and prescriptive techniques (e.g., segmentation, logistic regression, PCA, decision trees, random forests, XGBoost).
• Design and develop programs for data extraction, segmentation, and statistical analysis on large datasets using tools like R, SQL, and Hive.
• Deliver analytic insights and recommendations in succinct and compelling presentations for internal and external customers representing a wide range of backgrounds and levels.
• Develop project proposals, sales presentations and promotional collateral to enable the adoption of integrated customer solutions supported by TransUnion.
• Identify strategies and opportunities for customers to test and adopt TransUnion's analytic products and services.
• Mentor and train junior team members, fostering a high-performance culture aligned with TransUnion's values.