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> 
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>
#LI-Hybrid</div>

IT Procurement Partner (Hybrid)

<div><div>Role Overview</div> 
Experian Consumer Services are looking for a motivated Junior Salesforce Marketing Cloud Developer to support the development, maintenance, and optimisation of our Salesforce Marketing Cloud platform. This is an excellent opportunity for someone who is passionate about CRM technology, digital marketing, and customer engagement.
You will work closely with developers, campaign teams, analysts, and stakeholders to help build and deliver personalised marketing journeys, email campaigns, automations, and integrations within Salesforce Marketing Cloud.
This is a hybrid, London based role (40% in the office) reporting to the Head of CRM Data &amp; Operations.
Important Responsibilities<ul><li>
Help develop and maintain Salesforce Marketing Cloud solutions</li><li>
Build and deploy email campaigns, landing pages, and customer journeys</li><li>
Help create and maintain automations using Automation Studio and Journey Builder</li><li>
Develop SQL queries, data extensions, and segmentation logic</li><li>
Assist with API integrations and data synchronisation activities</li><li>
Support testing, troubleshooting, and bug fixing across SFMC implementations</li><li>
Work with marketing and CRM teams to understand campaign requirements</li><li>
Ensure campaigns follow best practice for deliverability, accessibility, and compliance</li><li>
Maintain documentation for technical processes and solutions</li><li>
Support platform governance, security, and data quality initiatives</li></ul> 
 
<div>Experience and Skills</div> 
<ul><li>Degree in Computer Science, Marketing Technology, Information Systems, or related field; or equivalent practical experience</li><li>
Relevant internships, placements, or junior development experience beneficial</li><li>
Programming background with some understanding of Salesforce Marketing Cloud i.e.<ul><li>
Journey Builder</li><li>
Email Studio</li><li>
Automation Studio</li><li>
Contact Builder</li></ul></li></ul>
Essential<ul><li>
Understanding of HTML/CSS for email development</li><li>
SQL</li></ul>
The following tools / experience will help in this position but are not essential:-<ul><li>
Experience with AMPscript or SSJS</li><li>
Understanding of REST/SOAP APIs</li><li>
Exposure to Salesforce CRM integrations</li><li>
Knowledge of digital marketing concepts and customer lifecycle marketing</li><li>
Salesforce Marketing Cloud certifications (or working towards one)</li><li>
Snowflake</li><li>
Fivetran</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.
Internal Grade E
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. Experian is also proud to be an Equal Opportunity and Affirmative Action employer. 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>

Junior Developer - Salesforce Marketing Cloud

<div><div>Role Overview</div> 
As a Client Support Analyst, you will manage complex product issues and escalations and work with customers to resolution.
You'll have the opportunity to:<ul><li>
Troubleshoot complex product and technical issues to determine severity and scope and respond accordingly</li><li>
Participate in project management and oversight</li><li>
Manage issues and questions escalated from Customer Support, Account Management, and Implementation teams</li><li>
Troubleshoot and escalate complex issues to technical and product resources with the appropriate information to resolve customer inquiries</li><li>
Lead technical troubleshooting sessions with customers and internal technical teams</li><li>
Maintain ownership of customer communication and follow-up when issues are escalated to product development teams</li><li>
Use prior knowledge, experience and tools available to provide solutions</li><li>
Stay current on product offerings and training, development and provide feedback on our tools and customer experience to improve our products Communicate with customers regarding support cases</li><li>
Manage all client related issues through Client Relationship Management tool (CRM) &ndash; Salesforce</li><li>
Manage and troubleshoot customer and user configurations.</li><li>
Educate and empower customers to maximize use of products, tools, and services</li><li>
Monitor system status and health of the products</li><li>
Maintain internal and external Knowledge Database (KCS, Knowledge Center Solutions) and use to assist troubleshooting</li><li>
Leverage every customer as an opportunity to strengthen the relationship between the customers and the Experian brand</li></ul> 
 
<div>Experience and Skills</div> 
<ul><li>2 years' experience in an analytical role, along with supporting clients</li><li>
2 years' experience in the healthcare IT industry is beneficial, but not required</li><li>
2 years' experience reading 837 and CSV remittance files, is beneficial, but not required</li><li>
Bachelor's degree in Business, Healthcare Management, or related field is beneficial, but not required</li><li>
Assist the team with holiday coverage as operationally needed and is managed on a rotational basis</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 digital 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 realise their financial goals and help them to save time and money.
We operate across a range of markets, from financial services to healthcare, automotive, agrifinance, insurance, and many more industry segments.
We invest in people and new advanced technologies to unlock the power of data and to innovate. A FTSE 100 Index company listed on the London Stock Exchange (EXPN), we have a team of 23,300 people across 32 countries. Our corporate headquarters are in Dublin, Ireland. Learn more at experianplc.com.
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</li><li>
Flexible time off including volunteer time off, vacation, sick and 12-paid holidays</li><li>
Explore all our exciting benefits here: https://yourexperianbenefits.com/cand-index.html</li></ul>
At Experian, our people and culture set us apart. We're deeply committed to creating an environment where everyone feels they belong and can excel. From inclusion and authenticity to work/life balance, development, wellness, collaboration, and recognition, we focus on what truly matters. Our people-first approach has earned us global recognition: World's Best Workplaces&trade; 2024 (Fortune Top 25), Great Place To Work&trade; 2025 in 26 countries, and Glassdoor Best Places to Work 2024, among others.
Want to see what life at Experian is really like? Explore Experian Life on social or visit our careers site.
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.</div>

Client Support Analyst, Healthcare Revenue Cycle

<div>Company Description 
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. 
Job Description 
We are looking for a Site Reliability Engineer to improve the reliability, and performance of business-critical systems. Reporting into our Head of SRE you will focus on AWS cloud infrastructure, DevOps tooling, and core SRE practices within a distributed, production environment.
Main Responsibilities:<ul><li>
Leadership &amp; Strategy<ul><li>
Define and implement SRE best practices across the organization.</li><li>
Proven expertise in production support, engineering, disaster recovery (DCR), automation, and cloud operations</li><li>
Mentor and guide a team of SREs, fostering growth.</li><li>
Collaborate with senior stakeholders to align reliability goals with business objectives.</li></ul></li><li>
Reliability &amp; Performance<ul><li>
Establish SLIs, SLOs, and SLAs for critical services and ensure adherence.</li><li>
Drive initiatives to improve system resilience and reduce operational toil.</li><li>
Excellent in designing systems that detect and remediate issues without manual intervention &ndash; Self Healing systems, Runbook automation</li><li>
Exposure to tools like Gremlin, Chaos Monkey, AWS FIS to simulate outages and improve fault tolerance</li></ul></li><li>
Incident Management<ul><li>
Act as the primary point of escalation for critical production issues and lead major incident response, root cause analysis, and postmortems.</li><li>
Perform detailed post-incident investigations to identify underlying causes. Document findings and share learnings to prevent recurrence.</li><li>
Implement preventive measures and continuous improvement processes.</li></ul></li><li>
Observability<ul><li>
Champion monitoring, logging, and alerting strategies using tools like Prometheus, Grafana, ELK, and AWS CloudWatch.</li><li>
Build real-time dashboards to visualize system health and reliability metrics.</li><li>
Configure intelligent alerting based on anomaly detection and thresholds.</li><li>
Combine metrics, logs, and traces to enable root cause analysis and reduce Mean Time to Resolution (MTTR).</li><li>
Knowledge of AIOps or ML-based anomaly detection for proactive reliability management.</li></ul></li><li>
Collaboration<ul><li>
Work closely with development teams to integrate reliability into application design and deployment</li><li>
Promote a culture of shared responsibility for uptime and performance across engineering teams.</li></ul></li></ul> 

Qualifications 
<ul><li>
Deep expertise with various AWS services. Advanced knowledge of monitoring and observability tools.</li><li>
Strong leadership capabilities with a focus on setting clear direction, aligning team efforts with organizational goals, and maintaining high levels of motivation and engagement across the team.</li><li>
Excellent communication skills, with the ability to articulate complex ideas, solutions, and feedback clearly to both technical and non-technical stakeholders. Adept at managing conflict constructively and facilitating consensus.</li><li>
Proven track record of building secure, mission-critical, high-volume transaction web-based software systems, preferably in regulated environments (finance and insurance industries).</li><li>
Hands on technologist working in software development including leading an SRE team.</li></ul> 

Additional Information 
<ul><li>
Hybrid working, 2 days a week our Nottingham Office</li><li>
Great compensation package and discretionary bonus</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 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.
Experian Careers - Creating a better tomorrow together
Find out what its like to work for Experian by clicking here
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Experian Careers - Creating a better tomorrow together
Find out what its like to work for Experian by clicking here</div>

Senior Site Reliability Engineer

Join Experian and explore 15   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

Experian

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