Qureos Mentor

Experian

Experian is a global data and technology company that powers opportunities for individuals and businesses worldwide. They focus on redefining lending practices, preventing fraud, simplifying healthcare, and delivering digital marketing solutions through a unique combination of data, analytics, and software. Experian assists millions in achieving their financial goals while operating across various markets, including financial services, healthcare, and automotive. With a commitment to innovation and advanced technologies, Experian employs over 22,500 people in 32 countries, headquartered in Dublin, Ireland.

<div><div>Role Overview</div> 
Experian Consumer Services is a digital platform that helps consumers improve their financial wellness through credit education, identity protection, and financial products. This role provides legal support for the OwnUp and Home Marketplace businesses, with a focus on digital mortgage services, regulatory compliance, commercial agreements, and strategic business initiatives.
This is a hybrid position. You will report the SVP, Head of Legal, Consumer Services, within the Legal Department. 
You will have opportunity to:<ul><li>
Provide legal guidance for digital mortgage shopping and consumer financial services.</li><li>
Advise on compliance with federal and state mortgage, consumer finance, privacy, advertising, and consumer protection laws.</li><li>
Review new products, services, and marketing initiatives for legal and regulatory compliance.</li><li>
Assess legal and regulatory risks and recommend practical business solutions.</li><li>
Draft, review, and negotiate commercial, partnership, and strategic agreements.</li><li>
Partner with business leaders to support growth initiatives while managing legal risk.</li><li>
Monitor changes in laws and regulations affecting mortgage and consumer financial services.</li><li>
Serve as a trusted legal advisor on regulatory and transactional matters.</li></ul> 
 
<div>Experience and Skills</div> 
<ul><li>Juris Doctor (JD) degree and active license to practice law.</li><li>
6+ years of relevant legal experience in a law firm and/or in-house legal department.</li><li>
Experience advising on federal and state mortgage, consumer finance, privacy, and advertising laws.</li><li>
Knowledge of regulations affecting mortgage brokers, lenders, and marketplace platforms.</li><li>
Experience drafting and negotiating complex commercial agreements.</li><li>
Experience supporting regulatory and transactional matters related to mortgage or consumer financial services.</li></ul> 
 
<div>About Experian</div> 
Experian is a global data and technology company, powering opportunities for people and businesses around the world. We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more. Experian invests in people and new advanced technologies to unlock the power of data. We have an amazing team of 25,200 people in 32 countries.
Benefits/Perks:
Our uniqueness is that we celebrate yours. Experian's people first, inclusive and purpose driven culture is multi award-winning; World's Best Workplaces&trade; 2025 (Fortune Global Top 25), Great Place To Work&trade; in 26 countries to name a few. Check out Experian Life on social or explore our Careers Site to understand why.
Our compensation reflects the cost of labor across several U.S. geographic markets. The base pay range for this position is listed above. Within this range, individual pay is determined by work location and additional factors such as job-related skills, experience, and education. You will be also eligible for a variable pay opportunity.
Experian is proud to be an Equal Opportunity Employer for all groups protected under applicable federal, state and local law, including protected veterans and individuals with disabilities. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.
Benefits/Perks:<ul><li>
Great compensation package and bonus plan</li><li>
Core benefits including medical, dental, vision, and matching 401K</li><li>
Flexible work environment, ability to work remote, hybrid or in-office</li><li>
Flexible time off including volunteer time off, vacation, sick and 12-paid holidays</li><li>
Explore all our exciting benefits here: https://myexperianbenefits.com/</li></ul> 
Recruitment Fraud Awareness - Experian's recruitment process is conducted only through authorised channels. Recruitment communications will only be sent from an @experian.com email address. Experian will never ask candidates to make any payment as part of an application, interview, assessment, onboarding, or recruitment process. To apply for roles or verify opportunities, please visit experian.com/careers.</div>

Corporate Counsel, Consumer Services

<div><div>Role Overview</div> 
What you'll do
Experian IT Services (EITS) is the centralized technology organization that globally supports Experian's business-critical IT ecosystem. Our organization includes Infrastructure Services, Cyber &amp; Information Security, Enterprise Architecture, Cloud Engineering, and Operations. We drive growth through scalable, reusable technology platforms that improve productivity, accelerate delivery, and strengthen system reliability and security.
We are hiring an Observability SME to join our Observability Engineering team in Hyderabad, operating in a hybrid work model. This role is ideal for an experienced observability professional with a DevOps background who can implement scalable monitoring and observability solutions across cloud, on-premises, and hybrid environments.
You will guide observability best practices across Experian's technology ecosystem, with a focus on Dynatrace, automation, telemetry onboarding, and cloud infrastructure monitoring. You will work with Cloud Engineering, Operations, Developers, Platform Engineers, and Teams to improve application and infrastructure visibility, reduce operational overhead, and ensure faster incident detection and resolution.
We are looking for hands-on expertise in observability platforms, automation scripting, and cloud infrastructure management. You will help standardize observability practices, automate monitoring workflows and help use modern telemetry practices across teams. You will report to an Engineering Manager. 
Role Responsibilities<ul><li>
Be the Observability SME, providing technical consultation and hands-on expertise in implementing observability solutions.</li><li>
Manage observability solutions using Dynatrace, ensuring monitoring of applications, infrastructure, services, and user experience.</li><li>
Develop automation scripts using Python and Shell scripting or similar to improve monitoring setup, alerting, reporting, dashboard creation, and operational workflows.</li><li>
Manage observability infrastructure in cloud and support migration of On-Prem Infrastructure to Cloud.</li><li>
Configure alerts to improve proactive monitoring and reduce noise, false positives, and operational inefficiencies.</li><li>
Collaborate with DevOps, Cloud Engineering, Operations, Developers, and Platform teams to embed observability into the software delivery lifecycle.</li><li>
Help develop SLIs, SLOs, and error budgets to improve service reliability and operational visibility.</li><li>
Troubleshoot complex monitoring, telemetry, and platform issues across distributed systems, microservices, and cloud-native environments.</li><li>
Support continuous improvement of incident management workflows by integrating observability insights into operational processes.</li><li>
Contribute to observability standards, documentation, best practices, and knowledge-sharing across teams.</li><li>
Work with partners to understand monitoring requirements and translate them into scalable observability solutions.</li></ul> 
What your background is<ul><li>
Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.</li><li>
7&ndash;10 years of experience in Observability Engineering, Monitoring Engineering, DevOps, Cloud Operations, or related technology roles.</li><li>
Hands-on experience with Dynatrace as a primary observability platform.</li><li>
Automation scripting experience using Python and Shell scripting.</li><li>
Hands-on experience managing or supporting infrastructure in AWS Cloud environments.</li><li>
Experience with infrastructure monitoring, application performance monitoring, log monitoring, alerting, dashboards, and event correlation.</li><li>
5+ years of experience working in DevOps environments with exposure to CI/CD, automation, cloud platforms, and operational support practices.</li><li>
3+ years of experience working with your partners, development teams, platform teams, and operations teams to implement monitoring and observability solutions.</li></ul> 
Good to have<ul><li>
Hands-on experience with open-source observability solutions like Prometheus and Grafana.</li><li>
Any cloud observability certification (e.g., Dynatrace, Datadog, and Splunk).</li><li>
Cloud certifications (e.g., AWS Solutions Architect, DevOps Engineer, Developer &ndash; AWS preferred).</li><li>
3+ years of experience with Kubernetes and containerized environments.</li><li>
Knowledge of ITIL, ITSM, and ServiceNow Event Management.</li><li>
Experience with Terraform for infrastructure automation and provisioning.</li><li>
3+ years of experience with Kubernetes and Docker.</li><li>
Hands-on experience with Datadog.</li><li>
Working knowledge of OpenTelemetry for standardized telemetry collection across traces, metrics, and logs.</li><li>
Familiarity with ITIL, ITSM, incident management, and ServiceNow Event Management.</li></ul> 
 
<div>Experience and Skills</div> 
<ul><li>Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.</li><li>
7&ndash;10 years of relevant experience in Observability, Monitoring, DevOps, Cloud Operations, or Infrastructure Engineering.</li><li>
Hands-on experience with Dynatrace.</li><li>
Scripting experience using Python and Shell.</li><li>
Hands-on experience with AWS infrastructure monitoring.</li><li>
Experience with DevOps practices, automation, cloud infrastructure, and production operations.</li></ul> 
 
<div>About Experian</div> 
Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, create marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics and software. We also assist millions of people to accomplish their financial goals and help them save time and money.
We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more industry segments.
We invest in people and new advanced technologies to unlock the power of data. As a FTSE 100 Index company listed on the London Stock Exchange (EXPN), we have a team of 22,500 people across 32 countries. Our corporate headquarters are in Dublin, Ireland. Learn more at experianplc.com.
Our uniqueness is that we truly celebrate yours. Experian's culture and people are important differentiators. We take our people agenda very seriously and focus on what truly matters; DEI, work/life balance, development, authenticity, engagement, collaboration, wellness, reward &amp; recognition, volunteering... the list goes on. Experian's strong people first approach is award winning; Great Place To Work&trade; in 24 countries, FORTUNE Best Companies to work and Glassdoor Best Places to Work (globally 4.4 Stars) to name a few. Check out Experian Life on social or our Careers Site to understand why.
Experian is proud to be an Equal Opportunity and Affirmative Action employer. Innovation is a critical part of Experian's DNA and practices, and our diverse workforce drives our success. Everyone can succeed at Experian and bring their whole self to work, irrespective of their gender, ethnicity, religion, color, sexuality, physical ability or age. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.
Experian Careers - Creating a better tomorrow together
Benefits
Experian care for employee's work life balance, health, safety and wellbeing. In support of this endeavor, we offer best-in-class family well-being benefits, enhanced medical benefits and paid time off.
#LI-Hybrid
This is a hybrid role.<div></div>
Experian Careers - Creating a better tomorrow together</div>

Senior Observability Engineer

<div><div>Role Overview</div> 
<ul><li>Lead and mentor a team of application security engineers and penetration testers.</li><li>
Guide team members&rsquo; daily project and operational activities</li><li>
Manage and mature the application security program through direct interactions.</li><li>
Actively seek to improve our application security and penetration testing operations.</li><li>
Identify improvement opportunities in all processes and activities involved.</li><li>
Participate in security and technology strategic planning to ensure identified risk governance is incorporated into the enterprise strategy.</li><li>
Appropriately assess risk and provide software security advice when business decisions are made.</li><li>
Set strategies, processes and oversee the management and operations of SAST, SCA, DAST, and penetration testing operations to provide coverage for the application portfolio.</li></ul><ul><li>
Function as a subject matter expert in application, network and cloud penetration testing, scanning platforms, exploits, tools, and techniques.</li><li>
Building and executing a security testing strategy and lead AI first transformation to improve effectiveness and efficiency of our services.</li><li>
Manage test resources to ensure maximum performance.</li><li>
Ensuring secure outcomes of application and configuration testing.</li><li>
Oversee vulnerability identification and measurement.</li><li>
Guide development teams through a review of their applications and risks against common application flaws like OWASP Top 10 and others Provide visibility to senior management along with context and prioritization of the issues.</li><li>
Operate as an advocate for Security in interactions with internal and external teams.</li><li>
Work with Risk &amp; Compliance teams on SOC 2, PCI-DSS, HIPAA, and other audits as needed Research and recommend policy and procedures as they relate to Application Security</li><li>
Lead projects to implement security technologies for the entire enterprise.</li><li>
Define security guardrails through automated tool policies, SLAs, custom rules, and support the developer community.</li><li>
Help the enterprise manage vulnerabilities across automated tooling and manual security assessments.</li><li>
Work with Champions to build relationships and ensure key activities are supported and deliverables are achieved in a timely manner.</li><li>
Support the AppSec technical team and ensure relationships with Business and team maximised and effective.</li></ul> 

 
<div>Experience and Skills</div> 
 <ul><li>Four-year college diploma or university degree in computer science or computer engineering, and/or 5 years equivalent work experience in application development.</li><li>
Preferred certifications are listed as follows OSCE3, OSCE, OSCP, OSWE, CCSAS, CCT, CRT, GXPN, CISSP or CSSLP or similar certification.</li><li>
3-5 years supervisory experience preferred.</li><li>
8-13 years direct experience in enterprise-level applications security.</li><li>
Previous experience leading teams of penetration testers strongly encouraged and highly desired.</li><li>
Experience with cloud-based application architectures</li></ul> 
 
<div>About Experian</div> 
Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, create marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics and software. We also assist millions of people to realize their financial goals and help them save time and money.
We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more industry segments.
We invest in people and new advanced technologies to unlock the power of data. As a FTSE 100 Index company listed on the London Stock Exchange (EXPN), we have a team of 22,500 people across 32 countries. Our corporate headquarters are in Dublin, Ireland. Learn more at experianplc.com.
Our uniqueness is that we celebrate yours. Experian's culture and people are important differentiators. We take our people agenda very seriously and focus on what matters; DEI, work/life balance, development, authenticity, collaboration, wellness, reward &amp; recognition, volunteering... the list goes on. Experian's people first approach is award-winning; World's Best Workplaces&trade; 2024 (Fortune Top 25), Great Place To Work&trade; in 24 countries, and Glassdoor Best Places to Work 2024 to name a few. Check out Experian Life on social or our Careers Site to understand why.
Experian is proud to be an Equal Opportunity and Affirmative Action employer. Innovation is an important part of Experian's DNA and practices, and our diverse workforce drives our success. Everyone can succeed at Experian and bring their whole self to work, irrespective of their gender, ethnicity, religion, colour, sexuality, physical ability or age. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.<div></div>
Experian Careers - Creating a better tomorrow together</div>

Application Security Manager

<div><div>Role Overview</div> 
Internal Grade D/EB8
Data Scientist &ndash; GenAI &amp; AI Engineering
The Generative AI Centre of Expertise (GenAI CoE) at Experian helps teams across Experian's UK business. It improves products using Generative AI, machine learning, and automation. The centre has a focus on responsible, measurable impact.
Who is a GenAI CoE Data Scientist?
This is a mid-level, hybrid role for a data scientist who enjoys hands-on work and wants to grow into AI engineering. You'll report into the Head of Machine Learning and work across two connected areas:<ul><li>
Experimentation and evaluation (data science): framing problems, designing experiments, defining success metrics, analysing results, and understanding model/system behaviour in product contexts</li><li>
AI engineering: build GenAI systems (prototypes through to production-ready components), supported by experienced colleagues</li></ul>
A big part of the job is choosing the right approach &mdash; when GenAI is valuable, and when simpler analytics or ML is the better answer.
What you'll do<ul><li>
You will work with product, engineering, and business teams to turn fuzzy ideas into clear problem statements, assumptions, and success metrics</li><li>
You will design and run experiments to evaluate GenAI systems, including baseline comparisons, error analysis, and understanding failure modes</li><li>
Help refine GenAI solutions, using modern development practices and AI-assisted coding tools to iterate quickly</li><li>
Communicate results, including trade-offs, limitations, and recommendations for what to do next</li><li>
Share insights with the team and spend ~10% of your time on learning and knowledge sharing</li></ul> 
 
<div>Experience and Skills</div> 
<ul><li>You have experience working as a data scientist (or in a similar role), applied machine learning, and Python programming.</li><li>
You are comfortable working with incomplete information, and enjoy figuring things out through exploration and experimentation.</li><li>
You are keen to develop broader skills across AI engineering and product-focused delivery.</li><li>
You think beyond your scope: you join up product, data, and engineering context to spot issues early and improve decisions.</li></ul> 
It would be great if you also have<ul><li>
Exposure to software engineering practices such as version control, testing, or object-oriented programming.</li><li>
You will understand how companies deploy or run AI systems in practice through cloud services or containerised environments.</li><li>
Experience explaining technical concepts or analysis to non-technical partners.</li></ul> 
 
<div>About Experian</div> 
Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, create marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics and software. We also assist millions of people to realize their financial goals and help them save time and money.
We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more industry segments.
We invest in people and new advanced technologies to unlock the power of data. As a FTSE 100 Index company listed on the London Stock Exchange (EXPN), we have a team of 22,500 people across 32 countries. Our corporate headquarters are in Dublin, Ireland. Learn more at experianplc.com.
Benefits package includes:<ul><li>
Hybrid working - 40% office based</li><li>
Great compensation package and discretionary bonus plan</li><li>
Core benefits include pension, bupa healthcare, sharesave scheme and more!</li><li>
25 days annual leave with 8 bank holidays and 3 volunteering days. You can also purchase additional annual leave.</li></ul>
Our uniqueness is that we celebrate yours. Experian's culture and people are important differentiators. We take our people agenda very seriously and focus on what matters; DEI, work/life balance, development, authenticity, collaboration, wellness, reward &amp; recognition, volunteering... the list goes on. Experian's people first approach is award-winning; World's Best Workplaces&trade; 2024 (Fortune Top 25), Great Place To Work&trade; in 24 countries, and Glassdoor Best Places to Work 2024 to name a few. Check out Experian Life on social or our Careers Site to understand why.
Experian is proud to be an Equal Opportunity and Affirmative Action employer. Innovation is an important part of Experian's DNA and practices, and our diverse workforce drives our success. Everyone can succeed at Experian and bring their whole self to work, irrespective of their gender, ethnicity, religion, colour, sexuality, physical ability or age. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.
#LI-Hybrid #LI-ST1 
Experian Careers - Creating a better tomorrow together</div>

Data Scientist – GenAI & AI Engineering

<div>
 
 Company Description
 
 
 
 Experian is a global data and technology company that empowers people and businesses around the world. With our unique combination of data, analytics and software, we have established ourselves as one of the leading service providers for risk, fraud and identity management in the DACH region.
 
 
 Experian gives individuals better access to financial services such as loans, insurance, mobile phone contracts and online shopping. We help companies of all sizes and industries make smarter decisions, lend more responsibly and protect themselves and their customers from identity fraud and crime.
 
 
 We invest in our talented people and new, advanced technologies to harness the power of data and drive innovation. We employ 25,100 people in 32 countries and are a FTSE 100 company listed on the London Stock Exchange (EXPN). Our headquarters are in Dublin, Ireland.
 
 
 
 Job Description
 
 
 
 
 Introduction of role, purpose
 
 
 :
 
 
 
 The Data Scientist plays a pivotal role in the development and application of advanced analytics and machine learning models to support the development, monitoring, and maintenance of our data products, including Scores, Attributes, and other Data Services. This role is integral to driving innovation and improving the performance of our products, working closely with our Data Engineering, Product &amp; Tech teams ensuring data-driven decision-making.
 
 
 The primary purpose of this role is to develop, implement, and maintain machine learning models and analytical solutions that enhance our data products. It also includes the monitoring of our Bureau Data Asset and the continues improvement of our Bureau Data Ingestion Pipeline.
 
 
 Main focus of this role are product-related tasks with only limited or no involvement in client projects.
 
 
 
 Main Responsibilities, Tasks, Duties
 
 
 
 <ul>
 <li>
 Develop and implement machine learning models and advanced analytics solutions
 </li>
 <li>
 Monitor the performance and quality of our models and data products
 </li>
 <li>
 Perform ad hoc analyses to support product development and decision-making
 </li>
 <li>
 Collaborate closely with Data Engineering, Product &amp; Tech teams to understand functional requirements and to ensure proper implementation of analytical solutions, new product features and improve processes
 </li>
 <li>
 Ensure model accuracy and integrity through rigorous testing and validation processes
 </li>
 <li>
 Document methodologies, processes, and findings to maintain transparency and reproducibility
 </li>
 <li>
 Extract, manipulate, and analyze data from data lake to support various product development and monitoring activities
 </li>
 <li>
 Support our Legal and Compliance Teams in cases of consumer complaints, questions regarding our Scores and regulatory or policy changes
 </li>
 <li>
 Stay up to date on industry trends and new developments in machine learning and data science.
 
 
 </li>
 </ul>
 
 Responsibility, E.g. Budget, Key Deliverables
 
 
 
 <ul>
 <li>
 Ensure timely delivery of high-quality machine learning models and analyses
 </li>
 <li>
 Maintain and improve the accuracy and performance of our models and data products
 </li>
 <li>
 Contribute to the development of new product features and enhancements
 </li>
 <li>
 Support data-driven decision making within Product Management
 </li>
 <li>
 Provide insights and recommendations based on data analysis to support strategic decision-making
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 Required qualification, expertise, skills:
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in data science, Statistics, Computer Science, or a related field
 </li>
 <li>
 Strong analytical and problem-solving skills with keen attention to detail
 </li>
 <li>
 Deep knowledge of statistical methods and machine learning algorithms, especially logistic regression and boosted trees and its application
 </li>
 <li>
 Proficiency in programming languages such as Python or Scala
 </li>
 <li>
 Experience with machine learning frameworks such as XGBoost, PyTorch, or scikit-learn
 </li>
 <li>
 Experience with data manipulation and extraction from data lakes or large data storages using SQL and Spark
 </li>
 <li>
 Proven ability to analyze complex business and risk processes, translating them into actionable data models
 
 
 </li>
 </ul>
 
 Preferred Further Skills (not Mandatory)
 
 
 
 <ul>
 <li>
 We are not looking for a pure theorist: You should have the ability to interpret and apply analytical models within a business context. Ideally, you have demonstrated how to analyze business processes and translate them into data models to enable data-driven decision-making.
 </li>
 <li>
 Experience in the credit bureau or financial services environment is a plus, but not mandatory
 </li>
 <li>
 Strong ability to communicate complex analytical results clearly and provide actionable insights for non-technical stakeholders
 </li>
 <li>
 Excellent communication and collaboration skills
 </li>
 <li>
 Ability to work independently and manage multiple tasks simultaneously
 
 
 </li>
 </ul>
 
 Benefits/Perks
 
 
 
 
 Additional Information
 
 
 
 <ul>
 <li>
 A high degree of autonomy in a dynamic, internationally oriented organization
 </li>
 <li>
 A motivated team that values innovation and collaboration
 </li>
 <li>
 Great compensation package and attractive employee benefits
 </li>
 <li>
 Flexible working hours and remote work options
 
 
 </li>
 </ul>
 Experian is proud to be an equal opportunity and affirmative action employer. Innovation is a critical part of Experian's DNA and practices, and our diverse workforce drives our success. Everyone can succeed at Experian and bring their whole self to work, irrespective of their gender, ethnicity, religion, colour, sexuality, physical ability or age. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.
 
 
 Experian Careers - Creating a better tomorrow together
 
 
 Find out what its like to work for Experian by clicking here
 
 
</div>

Senior Data Scientist (m/f/d)

<div>
 
 Company Description
 
 
 
 Experian is a global data and technology company that empowers people and businesses around the world. With our unique combination of data, analytics and software, we have established ourselves as one of the leading service providers for risk, fraud and identity management in the DACH region.
 
 
 Experian gives individuals better access to financial services such as loans, insurance, mobile phone contracts and online shopping. We help companies of all sizes and industries make smarter decisions, lend more responsibly and protect themselves and their customers from identity fraud and crime.
 
 
 We invest in our talented people and new, advanced technologies to harness the power of data and drive innovation. We employ 25,100 people in 32 countries and are a FTSE 100 company listed on the London Stock Exchange (EXPN). Our headquarters are in Dublin, Ireland.
 
 
 
 Job Description
 
 
 
 
 Introduction of role, purpose
 
 
 :
 
 
 
 The Data Scientist plays a pivotal role in the development and application of advanced analytics and machine learning models to support the development, monitoring, and maintenance of our data products, including Scores, Attributes, and other Data Services. This role is integral to driving innovation and improving the performance of our products, working closely with our Data Engineering, Product &amp; Tech teams ensuring data-driven decision-making.
 
 
 The primary purpose of this role is to develop, implement, and maintain machine learning models and analytical solutions that enhance our data products. It also includes the monitoring of our Bureau Data Asset and the continues improvement of our Bureau Data Ingestion Pipeline.
 
 
 Main focus of this role are product-related tasks with only limited or no involvement in client projects.
 
 
 
 Main Responsibilities, Tasks, Duties
 
 
 
 <ul>
 <li>
 Develop and implement machine learning models and advanced analytics solutions
 </li>
 <li>
 Monitor the performance and quality of our models and data products
 </li>
 <li>
 Perform ad hoc analyses to support product development and decision-making
 </li>
 <li>
 Collaborate closely with Data Engineering, Product &amp; Tech teams to understand functional requirements and to ensure proper implementation of analytical solutions, new product features and improve processes
 </li>
 <li>
 Ensure model accuracy and integrity through rigorous testing and validation processes
 </li>
 <li>
 Document methodologies, processes, and findings to maintain transparency and reproducibility
 </li>
 <li>
 Extract, manipulate, and analyze data from data lake to support various product development and monitoring activities
 </li>
 <li>
 Support our Legal and Compliance Teams in cases of consumer complaints, questions regarding our Scores and regulatory or policy changes
 </li>
 <li>
 Stay up to date on industry trends and new developments in machine learning and data science
 
 
 </li>
 </ul>
 
 Responsibility, E.g. Budget, Key Deliverables
 
 
 
 <ul>
 <li>
 Ensure timely delivery of high-quality machine learning models and analyses
 </li>
 <li>
 Maintain and improve the accuracy and performance of our models and data products
 </li>
 <li>
 Contribute to the development of new product features and enhancements
 </li>
 <li>
 Support data-driven decision making within Product Management
 </li>
 <li>
 Provide insights and recommendations based on data analysis to support strategic decision-making
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 Required qualification, expertise, skills:
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in data science, Statistics, Computer Science, or a related field
 </li>
 <li>
 Strong analytical and problem-solving skills with keen attention to detail
 </li>
 <li>
 Deep knowledge of statistical methods and machine learning algorithms, especially logistic regression and boosted trees and its application
 </li>
 <li>
 Proficiency in programming languages such as Python or Scala
 </li>
 <li>
 Experience with machine learning frameworks such as XGBoost, PyTorch, or scikit-learn
 </li>
 <li>
 Experience with data manipulation and extraction from data lakes or large data storages using SQL and Spark
 </li>
 <li>
 Proven ability to analyze complex business and risk processes, translating them into actionable data models
 
 
 </li>
 </ul>
 
 Preferred Further Skills (not Mandatory)
 
 
 
 <ul>
 <li>
 We are not looking for a pure theorist: You should have the ability to interpret and apply analytical models within a business context. Ideally, you have demonstrated how to analyze business processes and translate them into data models to enable data-driven decision-making.
 </li>
 <li>
 Experience in the credit bureau or financial services environment is a plus, but not mandatory
 </li>
 <li>
 Strong ability to communicate complex analytical results clearly and provide actionable insights for non-technical stakeholders
 </li>
 <li>
 Excellent communication and collaboration skills
 
 
 </li>
 </ul>
 Ability to work independently and manage multiple tasks simultaneously
 
 
 
 Benefits/Perks
 
 
 
 
 Additional Information
 
 
 
 <ul>
 <li>
 A high degree of autonomy in a dynamic, internationally oriented organization
 </li>
 <li>
 A motivated team that values innovation and collaboration
 </li>
 <li>
 Great compensation package and attractive employee benefits
 </li>
 <li>
 Flexible working hours and remote work options
 
 
 </li>
 </ul>
 Experian is proud to be an equal opportunity and affirmative action employer. Innovation is a critical part of Experian's DNA and practices, and our diverse workforce drives our success. Everyone can succeed at Experian and bring their whole self to work, irrespective of their gender, ethnicity, religion, colour, sexuality, physical ability or age. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.
 
 
 Experian Careers - Creating a better tomorrow together
 
 
 Find out what its like to work for Experian by clicking here
 
 
</div>

<div>Company Description 
Experian is a global data and technology company, powering opportunities for people and businesses around the world. We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more. Experian invests in people and new advanced technologies to unlock the power of data. We have an amazing team of 25,200 people in 32 countries. 
Job Description 
Reporting to the Lead IT Procurement Director and operating in a hybrid capacity from our Costa Mesa, CA office typically requiring onsite presence up to two days per week. You will play a critical part in driving strategic sourcing excellence across our technology landscape. You will partner with IT and business leaders to shape category strategies, optimize supplier performance, and ensure we maximize both value and innovation from its technology investments.
What You'll Be Doing<ul><li>
Lead end‑to‑end strategic sourcing initiatives across indirect technology categories</li><li>
Serve as a category subject‑matter expert and trusted advisor to IT and business stakeholders.</li><li>
Manage competitive sourcing events (RFX), develop sourcing strategies, evaluate proposals, and deliver clear, data‑driven supplier recommendations.</li><li>
Negotiate pricing, and commercial terms to achieve optimal outcomes while ensuring compliance and minimizing risk.</li><li>
Partner closely with IT, Legal, Finance, and other cross‑functional teams to support contract development, onboarding, and governance.</li><li>
Build and sustain strong supplier relationships, driving continuous improvement, innovation, and performance management.</li><li>
Identify, develop, and implement cost‑optimization and value‑creation initiatives across assigned categories.</li><li>
Monitor market trends and emerging technologies models to inform sourcing strategies and enable innovation.</li><li>
Ensure adherence to procurement policies, regulatory requirements, and internal controls.</li></ul> 

Qualifications 
<ul><li>
5+ years of experience in technology categories strategic procurement - XaaS/cloud, AI, and other technology solutions</li><li>
Proven track record leading complex sourcing initiatives, including RFXs</li><li>
Solid understanding and experience of technology contracting - drafting, redlining, commercial term negotiation, alignment of legal terms.</li><li>
Experience in a role influencing and partnering with senior cross‑functional stakeholders.</li><li>
Proficiency with strategic sourcing tools and CLM platforms.</li><li>
Experience working in a fast‑paced, global, matrixed environment.</li></ul> 

Additional Information 
Benefits/Perks:
Our uniqueness is that we celebrate yours. Experian's people first, inclusive and purpose driven culture is multi award-winning; World's Best Workplaces&trade; 2025 (Fortune Global Top 25), Great Place To Work&trade; in 26 countries to name a few. Check out Experian Life on social or explore our Careers Site to understand why.
Our compensation reflects the cost of labor across several U.S. geographic markets. The base pay range for this position is listed above. Within this range, individual pay is determined by work location and additional factors such as job-related skills, experience, and education. You will be also eligible for a variable pay opportunity.
Experian is proud to be an Equal Opportunity Employer for all groups protected under applicable federal, state and local law, including protected veterans and individuals with disabilities. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.
Benefits/Perks:<ul><li>
Great compensation package and bonus plan</li><li>
Core benefits including medical, dental, vision, and matching 401K</li><li>
Flexible work environment, ability to work remote, hybrid or in-office</li><li>
Flexible time off including volunteer time off, vacation, sick and 12-paid holidays</li><li>
Explore all our exciting benefits here: https://myexperianbenefits.com/</li></ul>
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IT Procurement Partner (Hybrid)

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