15 Algorithm Development jobs in Hong Kong

Join to apply for the Assistant Data Science Manager role at AXA Hong Kong and Macau

4 days ago Be among the first 25 applicants

Join to apply for the Assistant Data Science Manager role at AXA Hong Kong and Macau

• Support the development of different data science initiatives, including deep learning models and statistically advanced model scripts, to support data science and analytics initiatives on AI.
• Support the development of LLM-related projects, eg, Knowledge Bot, Document Understanding, etc.
• Support C360 Datamart enhancement and maintenance.
• Monitor and enhance the performance and effectiveness of existing models in production.
• Manage BI solution development and implementation for various MI reporting using Power BI.
• Deliver insights from the data visualization process from a customer-centric approach.
• Work on Data Science projects with different stakeholders to expand the data science discipline into the business application spectrum.
  
  

• Support the development of different data science initiatives, including deep learning models and statistically advanced model scripts, to support data science and analytics initiatives on AI.
• Support the development of LLM-related projects, eg, Knowledge Bot, Document Understanding, etc.
• Support C360 Datamart enhancement and maintenance.
• Monitor and enhance the performance and effectiveness of existing models in production.
• Manage BI solution development and implementation for various MI reporting using Power BI.
• Deliver insights from the data visualization process from a customer-centric approach.
• Work on Data Science projects with different stakeholders to expand the data science discipline into the business application spectrum.
  
  

• Graduate or advanced degree qualification in related subjects, e.g., Data Science, Statistics, Maths, etc.
• 3-5 years of relevant working experience in the data analytics field as a statistician/analyst/data scientist.
• Have experience with Azure and Databricks, which will be a plus.
• Have hands-on experience in RAG design and implementation.
• Have hands-on experience with deep learning frameworks like Tensorflow, PyTorch.
• Good knowledge of the model development process like data cleansing, feature engineering, model training, and validation, and have a good understanding of the algorithms behind.
• Familiar with data science libraries like Pandas, Spark, Numpy, Scikit-learn, etc.
• Strong programming skills in Python and SQL.
• Have experience in web programming, which will be a plus.
• Previous exposure to/knowledge of the instance industry will be an asset.
• Proactive and with a can-do attitude.
• Good command of English, Cantonese/Mandarin.
• Candidate with less experience will be considered with a junior position
  
  

• Seniority level Not Applicable

• Employment type Full-time

• Job function Engineering and Information Technology
• Industries Insurance

Referrals increase your chances of interviewing at AXA Hong Kong and Macau by 2x

Get notified about new Data Science Manager jobs in Hong Kong, Hong Kong SAR .

Kwun Tong District, Hong Kong SAR 1 month ago

Kwun Tong District, Hong Kong SAR 3 months ago

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

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 generate an annual turnover of USD 300 million. Our global footprint and expertise in more than 30 sectors and services enable us to enhance our clients' businesses worldwide.

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

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

As a Data Science & Analytics Consultant, you will work on local and international client engagements, focusing on data acquisition, exploration, modeling, and presenting results to stakeholders.

You will also contribute to internal data science projects on Heka, our internal accelerator for data science initiatives: . As part of the global data science team, you will help develop solutions tailored to client needs.

• Identify, acquire, process, and explore relevant data sources.
• Analyze large structured and unstructured datasets to discover trends and patterns.
• Use data analytics and machine learning to derive insights, build models, and algorithms.
• Communicate findings through presentations, dashboards, datasets, and automation tools.
• Propose solutions and strategies for business challenges.
• Collaborate with engineering and product teams.
• Contribute to a range of deliverables including models, algorithms, datasets, and tools.
• Promote data science practices through training, upskilling, and business development.

• 1-3 years' experience as a Data Scientist or Data Analyst, preferably in consulting.
• Bachelor’s degree or higher in Data Science, Business Analytics, Statistics, Economics, or related fields from a top university.
• Proficiency in Python and ideally another analytical language like R or SQL.
• Strong problem-solving skills and business acumen.
• Excellent communication and presentation skills.
• Fluency in English and Chinese (Cantonese and/or Mandarin).
• Preferred: experience with data visualization tools (e.g., Tableau, PowerBI).
• Preferred: understanding of statistical techniques and machine learning.

What we offer:

• Competitive salary and benefits.
• Training resources for professional development.
• Opportunities to work with top clients across sectors in HK and beyond.
• Dynamic environment with responsibilities for early-career professionals.

Sia is an equal opportunity employer. Employment decisions are based on performance, competence, conduct, and business needs.

• Seniority level: Entry level
• Employment type: Full-time
• Job function: Consulting

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 generate an annual turnover of USD 300 million. Our global footprint and expertise in more than 30 sectors and services enable us to enhance our clients' businesses worldwide.

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

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

As a Data Science & Analytics Consultant, you will work on local and international client engagements, focusing on data acquisition, exploration, modeling, and presenting results to stakeholders.

You will also contribute to internal data science projects on Heka, our internal accelerator for data science initiatives: As part of the global data science team, you will help develop solutions tailored to client needs.

• Identify, acquire, process, and explore relevant data sources.
• Analyze large structured and unstructured datasets to discover trends and patterns.
• Use data analytics and machine learning to derive insights, build models, and algorithms.
• Communicate findings through presentations, dashboards, datasets, and automation tools.
• Propose solutions and strategies for business challenges.
• Collaborate with engineering and product teams.
• Contribute to a range of deliverables including models, algorithms, datasets, and tools.
• Promote data science practices through training, upskilling, and business development.

• 1-3 years' experience as a Data Scientist or Data Analyst, preferably in consulting.
• Bachelor’s degree or higher in Data Science, Business Analytics, Statistics, Economics, or related fields from a top university.
• Proficiency in Python and ideally another analytical language like R or SQL.
• Strong problem-solving skills and business acumen.
• Excellent communication and presentation skills.
• Fluency in English and Chinese (Cantonese and/or Mandarin).
• Preferred: experience with data visualization tools (e.g., Tableau, PowerBI).
• Preferred: understanding of statistical techniques and machine learning.

What we offer:

• Competitive salary and benefits.
• Training resources for professional development.
• Opportunities to work with top clients across sectors in HK and beyond.
• Dynamic environment with responsibilities for early-career professionals.

Sia is an equal opportunity employer. Employment decisions are based on performance, competence, conduct, and business needs.

• Seniority level: Entry level
• Employment type: Full-time
• Job function: Consulting

Join to apply for the Senior Data Science Manager - Data & AI role at AXA Hong Kong and Macau

1 day ago Be among the first 25 applicants

Join to apply for the Senior Data Science Manager - Data & AI role at AXA Hong Kong and Macau

Direct message the job poster from AXA Hong Kong and Macau

AXA Hong Kong and Macau is a member of the AXA Group, a leading global insurer with presence in 50 markets and serving 95 million customers worldwide. Our purpose is to act for human progress by protecting what matters.

As one of the most diversified insurers in Hong Kong, we offer integrated solutions across Life, Health and General Insurance. We are the largest General Insurance provider and a major Health and Employee Benefits provider. Our aim is to not only be the insurer to provide comprehensive protection to our customers, but also a holistic partner to the individuals, businesses and community we serve. At the core of our service commitment is continuous product & service innovation and customer experience enrichment, which is achieved through actively listening to our customers' needs and leveraging and investing in technology and digital transformation.

We embrace our responsibility to be a driving force against climate change and a force for good to create shared value for our community. We are proud to be the first to address the importance of mental health through different products and services and thought leading iconic research. Our overall Sustainability Strategy, with emphasis on climate strategy and biodiversity commitment, is developed based on TCFD recommendations. We are committed to integrating environmental, social and governance factors across our business and strive to contribute to a sustainable future through 3 distinct roles - as an investor, an insurer and an exemplary company.

AXA is an equal opportunity employer. We are committed to promoting Diversity and Inclusion (D&I) by creating a work environment where all employees are treated with dignity, respect, and where individual differences are valued. We welcome and treasure diverse profiles to join our big family, and to build an inclusive culture together which allows everyone to maximise their personal potential.

Our people strategies are designed to enhance employee well-being and professional growth, ultimately empowering them to excel within the company. Click here to learn more about our Benefits ( , Culture ( & Career Development (

We are seeking a highly experienced and strategic Senior Data Science & AI Manager to lead our Data & AI Center of Excellence (CoE). Reporting to the Data Science and Management Director, you will oversee a talented team of five data science analysts and act as a core business partner. This role demands a proactive leader with strong technical expertise, excellent stakeholder management, and a proven track record in delivering impactful data and AI solutions that support operational excellence and strategic business needs.

Responsibilities:

• Lead, mentor, and inspire a high-performing team of data science analysts, fostering a culture of innovation, continuous learning, and results-driven delivery.
• Demonstrate strong leadership presence, proactively driving the adoption and integration of AI and Data solutions across the organization.
• Drive end-to-end delivery of high-impact Data & AI use cases, ensuring alignment with operational and business objectives, with a focus on automation, efficiency, and strategic growth.
• Develop and implement scalable data pipelines, Data Marts, and data products on Azure Cloud and Databricks, leveraging Python, PySpark, and modern cloud tools.
• Lead the deployment of advanced machine learning models, Large Language Models (LLMs), and Generative AI solutions (e.g., Document Understanding, Summarization, Retrieval-Augmented Generation) with a proven track record of successful use case implementations.
• Build and nurture strong data business partnerships by understanding business acumen, translating complex data insights into actionable strategies, and managing mature stakeholder relationships.
• Support organizational change by knowledge transfer, upskilling team members in AI/ML techniques, cloud engineering, and emerging technologies.
• Promote best practices in AI, cloud data engineering, and analytics, ensuring high-quality, timely delivery of initiatives while maintaining operational excellence.
• Proactively identify new opportunities for data-driven automation and AI innovation that can create sustainable business value.

Qualifications:

• Bachelor's or Master's degree in Computer Science, Data Science, Statistics, AI Engineering, or a related field.
• 8+ years of experience in data science, AI, or machine learning, with at least 3+ years in a senior leadership or managerial capacity.
• Proven ability to drive strategic AI use cases supporting operations and business needs, with a strong portfolio of successful LLM and GenAI deployments.
• Extensive hands-on experience with Azure Cloud, Databricks, data pipeline development, and cloud data engineering.
• Strong expertise in building, deploying, and operationalizing machine learning models, especially LLMs, with a track record of delivering tangible business impact.
• Deep understanding of business processes, with the ability to act as a mature and trusted data business partner.
• Excellent stakeholder management skills, capable of managing complex relationships and influencing senior leadership.
• Strong leadership presence, with the ability to motivate, develop, and upskill teams effectively.
• Proactive, innovative, and self-driven, with a demonstrated ability to anticipate future needs and lead change initiatives.
• Outstanding communication skills, capable of translating technical concepts for non-technical audiences and fostering cross-functional collaboration.

• Seniority level Mid-Senior level

• Employment type Full-time

• Job function Analyst, Science, and Strategy/Planning
• Industries Insurance

Referrals increase your chances of interviewing at AXA Hong Kong and Macau by 2x

Get notified about new Data Science Manager jobs in Wong Chuk Hang, Hong Kong SAR .

Kwun Tong District, Hong Kong SAR 1 month ago

Kwun Tong District, Hong Kong SAR 3 months ago

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

Join to apply for the Senior Data Science Manager – Data & AI role at AXA Hong Kong and Macau

2 days ago Be among the first 25 applicants

Join to apply for the Senior Data Science Manager – Data & AI role at AXA Hong Kong and Macau

We are seeking a highly experienced and strategic Senior Data Science & AI Manager to lead our Data & AI Center of Excellence (CoE). Reporting to the Data Science and Management Director, you will oversee a talented team of five data science analysts and act as a core business partner. This role demands a proactive leader with strong technical expertise, excellent stakeholder management, and a proven track record in delivering impactful data and AI solutions that support operational excellence and strategic business needs.

Key Responsibilities

• Lead, mentor, and inspire a high-performing team of data science analysts, fostering a culture of innovation, continuous learning, and results-driven delivery.
• Demonstrate strong leadership presence, proactively driving the adoption and integration of AI and Data solutions across the organization.
• Drive end-to-end delivery of high-impact Data & AI use cases, ensuring alignment with operational and business objectives, with a focus on automation, efficiency, and strategic growth.
• Develop and implement scalable data pipelines, Data Marts, and data products on Azure Cloud and Databricks, leveraging Python, PySpark, and modern cloud tools.
• Lead the deployment of advanced machine learning models, Large Language Models (LLMs), and Generative AI solutions (e.g., Document Understanding, Summarization, Retrieval-Augmented Generation) with a proven track record of successful use case implementations.
• Build and nurture strong data business partnerships by understanding business acumen, translating complex data insights into actionable strategies, and managing mature stakeholder relationships.
• Support organizational change by knowledge transfer, upskilling team members in AI/ML techniques, cloud engineering, and emerging technologies.
• Promote best practices in AI, cloud data engineering, and analytics, ensuring high-quality, timely delivery of initiatives while maintaining operational excellence.
• Proactively identify new opportunities for data-driven automation and AI innovation that can create sustainable business value.
  
  

• Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, AI Engineering, or a related field.
• 8+ years of experience in data science, AI, or machine learning, with at least 3+ years in a senior leadership or managerial capacity.
• Proven ability to drive strategic AI use cases supporting operations and business needs, with a strong portfolio of successful LLM and GenAI deployments.
• Extensive hands-on experience with Azure Cloud, Databricks, data pipeline development, and cloud data engineering.
• Strong expertise in building, deploying, and operationalizing machine learning models, especially LLMs, with a track record of delivering tangible business impact.
• Deep understanding of business processes, with the ability to act as a mature and trusted data business partner.
• Excellent stakeholder management skills, capable of managing complex relationships and influencing senior leadership.
• Strong leadership presence, with the ability to motivate, develop, and upskill teams effectively.
• Proactive, innovative, and self-driven, with a demonstrated ability to anticipate future needs and lead change initiatives.
• Outstanding communication skills, capable of translating technical concepts for non-technical audiences and fostering cross-functional collaboration.
  
  

• Seniority level Not Applicable

• Employment type Full-time

• Job function Engineering and Information Technology
• Industries Insurance

Referrals increase your chances of interviewing at AXA Hong Kong and Macau by 2x

Get notified about new Data Science Manager jobs in Hong Kong, Hong Kong SAR .

Kwun Tong District, Hong Kong SAR 1 month ago

Kwun Tong District, Hong Kong SAR 3 months ago

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

Join to apply for the Customer Analytics & Data Science Manager role at Bank of China (Hong Kong)

2 days ago Be among the first 25 applicants

Join to apply for the Customer Analytics & Data Science Manager role at Bank of China (Hong Kong)

Direct message the job poster from Bank of China (Hong Kong)

• Collaborate with business teams to identify business insight from data, covering the entire customer engagement journey, including acquisition, on-boarding, usage growth and retention/anti-attrition for the entire spectrum of personal banking products/services
• Proactively engage business teams to understand their business problems
• Formulate an innovative analytic framework to effectively study the data with customer centric perspective
• Explore the data, identify the business insight and consolidate the findings into an easy to understand structure
• Present the findings to senior management and business
• Develop and manage different portfolio management reports to effectively monitor the business
  
  

• Collaborate with business teams to identify business insight from data, covering the entire customer engagement journey, including acquisition, on-boarding, usage growth and retention/anti-attrition for the entire spectrum of personal banking products/services
• Proactively engage business teams to understand their business problems
• Formulate an innovative analytic framework to effectively study the data with customer centric perspective
• Explore the data, identify the business insight and consolidate the findings into an easy to understand structure
• Present the findings to senior management and business
• Develop and manage different portfolio management reports to effectively monitor the business
  
  

• Degree holder with major in quantitative, numerical science, computer science or related disciplines
• At least 5 years relevant working experience, preferably in financial services industry with proven track record and exposure in customer analysis, database marketing, report tracking and automation
• Proven competence in data processing of huge volume of data by SAS and use of different office tools, such as Excel and PowerPoint
• A mature self-starter with strong drive, solid analytic mind, remarkable problem-solving skills and good soft skills, including interpersonal, negotiation and project management
• Open-minded and receptive to different new ideas
• Excellent communication and presentation skills with good command of English and Chinese in both spoken and written. Fluent in Putonghua is an advantage
  
  

• Seniority level Not Applicable

• Employment type Full-time

• Job function Business Development and Information Technology
• Industries Banking, Capital Markets, and Financial Services

Referrals increase your chances of interviewing at Bank of China (Hong Kong) by 2x

Get notified about new Data Science Manager jobs in Hong Kong SAR .

Kwun Tong District, Hong Kong SAR 3 months ago

Kwun Tong District, Hong Kong SAR 2 months ago

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

Join to apply for the Advisor, Data Science and Analytics role at TransUnion

Join to apply for the Advisor, Data Science and Analytics role at TransUnion

Direct message the job poster from TransUnion

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

• Master’s or PhD in statistics, applied math, financial math, computer science, or a related quantitative field; or a Bachelor’s with 3+ years of relevant experience and demonstrate a consistent track record of academic excellence.
• Minimum 10 years supporting internal/external clients, with at least 5 years in analytics, preferably in industries of Financial Services, Insurance, Fraud or Digital Marketing.
• Proven analytical, critical thinking, and problem-solving skills with a proactive mindset.
• Advanced programming skills and aptitude; mastery with statistical programs such as R or Python.
• Experience of leading complex analytics projects with minimal supervision, collaborating across teams and directly with clients.
• Strong project and time management skills to lead multiple complex portfolios and work streams in a collaborative and fast-paced environment.
• Excellent business acumen and communication skills, including the ability to present and translate technical concepts into actionable recommendations to multiple levels, including executive audiences
• Occasional travel required.
  
  

• Serve as a subject matter expert on cross-functional teams internally and externally, driving new business initiatives and delivering long-term, value-added solutions to TransUnion customers.
• Lead the development of technical solutions to complex problems with minimal supervision.
• Act as the primary contact for strategic clients, identifying opportunities to test and adopt analytic products and services. Frequent direct engagement with client or TransUnion executives would be expected.
• Deliver analytic insights and recommendations in succinct and compelling presentations for internal and external customers representing a wide range of backgrounds and levels.
• Provide both oversight and hands-on support in developing analytic solutions using tools like R, Python, SQL, Hive, and Spark, while formalizing repeatable processes.
• Lead research and innovation initiatives, including multi-team projects in collaboration with peers across the team.
• Represent TransUnion at industry events, seminars, and summits, or advisory boards, attend independently sponsored conferences and tradeshows on behalf of TransUnion.
• Mentor and train junior team members, fostering a high-performance culture aligned with TransUnion’s values.
  
  

• Seniority level Not Applicable

• Employment type Full-time

• Job function Research, Analyst, and Information Technology
• Industries Financial Services, Information Services, and IT Services and IT Consulting

Referrals increase your chances of interviewing at TransUnion by 2x

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

Join to apply for the Consultant, Data Science and Analytics role at TransUnion

Join to apply for the Consultant, Data Science and Analytics role at TransUnion

Get AI-powered advice on this job and more exclusive features.

Direct message the job poster from TransUnion

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.
  
  

• 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.
  
  

• Seniority level Not Applicable

• Employment type Full-time

• Job function Research, Analyst, and Information Technology
• Industries Financial Services, Information Services, and IT Services and IT Consulting

Referrals increase your chances of interviewing at TransUnion by 2x

Shenzhen, Guangdong, China CN¥25,000.00-CN¥5,000.00 1 year ago

Wan Chai District, Hong Kong SAR 5 days ago

Kwun Tong District, Hong Kong SAR 1 month ago

Shenzhen, Guangdong, China CN 0,000.00-CN 5,000.00 2 years ago

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

Join to apply for the Senior Consultant, Data Science and Analytics role at TransUnion

TransUnion is actively hiring for a Senior Consultant, Data Science and Analytics . This position involves developing credit risk management and business intelligence solutions through consulting and research, serving clients across various sectors including financial services, insurance, and digital marketing.

• Bachelor’s or higher degree in a quantitative field (e.g., statistics, mathematics, computer science, engineering) with a strong academic record.
• 8+ years supporting clients, with at least 4 years in analytics, preferably in relevant industries.
• Proven success in end-to-end model development for at least 4 years.
• Strong analytical, critical thinking, and problem-solving skills with a proactive approach.
• Advanced programming skills in R or Python; experience with SQL, C/C++, Java, and platforms like Hive, Spark.
• Ability to lead complex analytics projects independently and collaborate across teams.
• Excellent project management skills and ability to handle multiple initiatives in a fast-paced environment.
• Strong business acumen and stakeholder communication skills.
• Understanding of industry trends and customer needs to identify business opportunities.
• Ability to translate technical insights into actionable business strategies.
• Occasional travel may be required.

This role involves developing analytics solutions for credit risk management and business intelligence, collaborating with cross-functional teams to deliver predictive risk and BI tools, and mentoring junior staff. Key activities include designing data programs, delivering insights, developing proposals, and fostering client adoption of TransUnion's analytic products.