Qureos Mentor

Experian

<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
 
 
 
 Mid-level Generative AI Application Developer:
 
 
 We are looking for an experienced Generative AI Application Developer to join our team and lead the design and implementation of AI-powered internal applications such as chatbots, copilots, and workflow automations. You will be responsible for building, integrating, and evolving generative AI applications that connect to Experian's internal systems and APIs, using modern Python frameworks and large language models. You will work with engineers, product, and partners to deliver, secure and scalable AI solutions that create value across the organisation.
 
 
 What you'll need to bring to the role &amp; Experian
 
 
 <ul>
 <li>
 A Bachelor's degree in computer science, Software Engineering, Artificial Intelligence, Data Science, or a related field (or equivalent practical experience).
 </li>
 <li>
 3&ndash;5 years of experience in software development, with at least 1&ndash;2 years hands-on building generative AI or ML-create applications.
 </li>
 <li>
 Programming skills in Python, including writing clean, modular, testable code; use virtual environments, dependency management, and packaging; debugging, logging, and error-handling in production services.
 </li>
 <li>
 Deep familiarity with generative AI concepts, such as LLMs, prompting, embeddings, tokens, model selection, safety/guardrails, and evaluation.
 </li>
 <li>
 I have over 1 year of experience with Python-based generative AI frameworks, such as LangChain, OpenAI Agents SDK, or similar orchestration frameworks. I can choose and structure frameworks appropriately, rather than using them as black boxes.
 </li>
 <li>
 Working knowledge of Model Context Protocol (MCP), tools/plugins, or equivalent connector patterns, and how agents securely call external systems.
 </li>
 <li>
 An understanding of how applications and APIs work end-to-end is important. This includes designing and consuming REST/HTTP APIs, which involves authentication, pagination, rate limiting, and error handling. Additionally, it involves building backend services or microservices, such as those using FastAPI, Flask, or similar technologies.
 </li>
 <li>
 Hands-on experience with databases and data access (ex: relational databases (SQL Server, PostgreSQL, MySQL) and ORMs/Query builders) and basic schema design and query optimisation for application workloads.
 </li>
 <li>
 Practical exposure to cloud platforms (AWS, GCP, or Azure), especially for hosting APIs and services, using managed databases, queues, and storage. Basic security, networking, and secrets management concepts.
 </li>
 <li>
 Experience working in Agile teams (Scrum/Kanban), using Git and CI/CD pipelines; comfortable participating in code reviews and improving engineering practices.
 </li>
 <li>
 Ability to mentor junior developers, give constructive feedback, and champion good coding standards and design practices.
 
 
 </li>
 </ul>
 Work that matters - What you'll do
 
 
 <ul>
 <li>
 Develop internal generative AI applications (chatbots, copilots and automations) that integrate with Experian systems and workflows.
 </li>
 <li>
 Develop and operate Python-based backends and APIs that connect LLMs to internal data sources, tools and business logic.
 </li>
 <li>
 Use frameworks such as LangChain, LlamaIndex, and OpenAI Agents / Assistants SDK to orchestrate prompts, tools, and agents.
 </li>
 <li>
 Shape and evolve RAG architectures, including document ingestion, embeddings/vector stores and retrieval flows, to improve relevance and quality.
 </li>
 <li>
 Implement guardrails, safety controls and fallbacks to ensure secure, reliable and compliant AI behaviour in production.
 </li>
 <li>
 Contribute to standards, documentation and mentoring, helping junior developers and the wider team adopt good practices in generative AI development.
 </li>
 <li>
 Participate in testing and evaluating AI applications to ensure they are, in consideration of our requirements, and safe to use (including checking prompts, guardrails, and failure modes).
 </li>
 <li>
 Collaborate with product and partners to understand use cases, define solutions, estimate effort and iterate based on feedback and metrics.
 
 
 </li>
 </ul>
 More about you
 
 
 <ul>
 <li>
 With a willingness to prototype by doing.
 </li>
 <li>
 Curiosity about how things work end-to-end: from the UI, through backend APIs, to the underlying models and data.
 </li>
 <li>
 Experience communicating updates and resolutions to customers and other partners and the ability to work collaboratively in a multidisciplinary team environment.
 </li>
 <li>
 Comfortable explaining technical concepts in simple terms to non-technical stakeholders.
 </li>
 <li>
 Team-oriented mindset, working closely with business users, analysts, developers, and other stakeholders.
 </li>
 <li>
 Experience reviewing code to find and address potential issues and defects, especially when testing and validating AI behaviour.
 </li>
 <li>
 Experience weighing specific technical tradeoffs to maximize impact for effort when designing prompts, tools, and user flows.
 </li>
 <li>
 Ethically aware of bias, hallucinations, privacy, and misinformation risks when designing and deploying AI solutions.
 
 
 </li>
 </ul>
 Why this role is important to us
 
 
 This role is critical to how we adopt and scale Generative AI across the organization. You won't just be experimenting with new technology &ndash; you'll be shipping real AI products that colleagues rely on to work more efficiently and make better decisions. You are expected to own solutions end-to-end: from shaping internal use cases, to building robust RAG/LLM-powered services, and improving them over time. Your technical choices will influence our standards for AI architecture, safety, and quality. You'll also play a key part in uplifting the team, by sharing best practices, mentoring junior developers, and helping define how we build and operate AI systems at Experian. Over time, this role is a natural steppingstone towards senior technical leadership in AI application development, with a strong impact on how we responsibly use Generative AI on a scale.
 
 
 
 Qualifications
 
 
 
 <ul>
 <li>
 A Bachelor's degree in computer science, Software Engineering, Artificial Intelligence, Data Science, or a related field (or equivalent practical experience).
 </li>
 <li>
 3&ndash;5 years of experience in software development, with at least 1&ndash;2 years hands-on building generative AI or ML-create applications.
 
 
 </li>
 </ul>
 
 Additional Information
 
 
 
 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
 
 
 Experian Careers - Creating a better tomorrow together
 
 
 Find out what its like to work for Experian by clicking here
</div>

Software Engineer

<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 an experienced and driven Senior Data Scientist to join our team and lead the development of AI-powered solutions. As a Senior Data Scientist, you will work closely with teams to design, implement, and deploy data-driven solutions that drive business value. You will help shape our data science strategy, mentor junior team members, and ensure the robustness and scalability of our models in production environments. 
What you'll need to bring to the role &amp; Experian 
<ul><li>
A Bachelor's/Master's/Ph.D. degree in computer science, Statistics, Mathematics, Data Science, or a related field.</li><li>
5+ years of experience in data science or machine learning, with a strong track record of delivering impactful solutions.</li><li>
Proficiency in Python and ML frameworks such as scikit-learn, XGBoost, PyTorch, TensorFlow, or similar.</li><li>
Experience with statistical modeling, time series forecasting, supervised and unsupervised learning, and optimization techniques.</li><li>
Experience with generative AI principles.</li><li>
Intermediate to fluent English proficiency &ndash; technical concepts clearly in English is essential.</li><li>
Experience working with financial datasets (e.g., credit scoring, fraud detection, risk modeling, pricing, or forecasting).</li><li>
Proficiency in SQL and experience with relational and non-relational databases (e.g., PostgreSQL, CosmosDB, MongoDB).</li><li>
Experience deploying models into production using Databricks and cloud platforms (AWS, GCP, or Azure).</li><li>
Familiarity with MLOps practices, CI/CD pipelines, and model monitoring tools.</li><li>
Experience with data visualization tools (e.g., Plotly, Tableau) to communicate insights effectively.</li></ul>
Work that matters - What you'll be doing<ul><li> 
Lead the design, development, and deployment of machine learning models to solve high-impact financial problems.</li><li>
Collaborate with product managers, engineers, and business stakeholders to define data science use cases and translate them into actionable solutions.</li><li>
Analyse large-scale structured and unstructured datasets to extract insights and build predictive models.</li><li>
Develop and maintain robust model training workflows.</li><li>
Ensure model interpretability, fairness, and compliance with regulatory standards.</li><li>
Mentor junior data scientists and contribute to the growth of the data science team.</li><li>
Communicate findings and recommendations clearly to both technical and non-technical audiences.</li></ul> 
More about you 
<ul><li>
Passion for using data to drive decisions.</li><li>
A mindset for continuous learning and innovation.</li><li>
Ethical awareness of bias, fairness, and transparency in AI models.</li></ul> 
Why this role is important to us 
This role is critical to our mission of leveraging data and AI to drive innovation across our services. As a Senior Data Scientist, your expertise will directly influence strategic decisions, improve customer outcomes, and enhance operational efficiency. You will collaborate closely with professionals from diverse backgrounds - including product, engineering, operations, and business strategy - to solve real-world challenges across multiple domains. Your insights will help shape our data science roadmap and deliver measurable value to the organization. 
Qualifications 
<ul><li>
A Bachelor's/Master's/Ph.D. degree in computer science, Statistics, Mathematics, Data Science, or a related field.</li><li>
5+ years of experience in data science or machine learning, with a strong track record of delivering impactful solutions.</li></ul> 

Additional Information 
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
Find out what its like to work for Experian by clicking here</div>

Senior Data Scientist

<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 
Job description 
Overview
We are seeking an experienced Senior Automation Engineer with a strong background in Playwright and Python to join our QA team. The ideal candidate will lead automation initiatives, mentor team members, and ensure high-quality delivery through the implementation of robust test automation strategies.
Responsibilities<ul><li>Design, develop, and maintain automated test scripts using Playwright with Python (and C# where applicable).</li><li>Implement and enhance BDD frameworks (e.g., Pytest-BDD, Cucumber, SpecFlow, Reqnroll).</li><li>Collaborate with product and development teams to ensure comprehensive test coverage.</li><li>Perform API-level automation and integrate tests into CI/CD pipelines.</li><li>Mentor and guide QA engineers (manual and automation) on best practices.</li><li>Analyse test results, identify defects, and drive timely resolution.</li><li>Extend and optimise automation frameworks and tools as needed.</li><li>Work in Agile/Scrum environments and contribute to sprint planning and quality goals.</li></ul> 
Qualifications 
Qualifications<ul><li>
QA Automation</li><li>
Playwright</li><li>
Python</li><li>
BDD</li></ul> 

Additional Information 
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
Find out what its like to work for Experian by clicking here</div>

Senior Automation Test Analyst

<div>Why this role is important to us:
As the Global FinOps Practice Lead, you will serve as the strategic architect, executive influencer, and cross-regional integrator for Experian's cloud financial management. Beyond driving spend optimization, this role shapes enterprise-wide behavioral change, aligning senior technology, finance, product and commercial leaders behind a unified cloud-value strategy.
You will operate as a complex systems leader, balancing financial rigor, technical depth, organizational change, and long-range planning to maximize Experian's commercial advantage in a multi-cloud, data-intensive environment.
Key Responsibilities Include but not limited to:
Run Enterprise FinOps Strategy
Define and own the global FinOps vision, ensuring alignment with Experian's strategic objectives and technology transformation agenda.
Establish global KPIs, maturity frameworks and performance governance that shape senior leadership decision-making.
Provide authoritative input into monthly/quarterly technology performance reviews and OKR reporting, influencing corrective actions at executive level.
Shape the enterprise's approach to cloud commercial optimisation, directing strategic negotiation positions with major cloud providers.
Define and govern the financial strategy for GenAI adoption, balancing innovation acceleration with sustainable cost management.
Govern Cloud Spend &amp; Institutionalise FinOps Discipline
Own global FinOps policies and ensure adoption across engineering, architecture and product communities.
Promote adoption throughout Regions and Business Units as part of wider technology transformation initiatives.
Foster enterprise-wide implementation of cost governance frameworks, integrating financial responsibility into both operational and technical decision-making processes.
Lead prioritisation of optimisation opportunities and ensure business units proactively act on insights.
Oversee strategic management of cloud commitments to ensure optimal financial coverage and predictable multi-year spend. Deliver transparent, concise and executive-ready FinOps reporting to senior leaders and corporate stakeholders.
Tooling Ownership
Serve as central owner for Cloudability configuration, data quality, dashboards and user enablement.
Advance automation by testing new tools, technologies, and integrations to improve insights and cut workload.
Manage global vendor relationships and ensure rapid resolution of high-impact issues.
Forecasting, Budgeting &amp; Commitment Planning
Build and maintain multi-year AWS and other CSP spend models to inform enterprise commitment reporting and credit distribution across the group, providing BU-level and consolidated views.
Partner with Finance/Technology leadership to give guidance on forecasting approach and increase global accuracy.
Deliver and promote tooling to improve ability of users to manage, track and forecast cloud spend.
Manage AWS credit distribution through Global Allocation Solution for financial reporting.
Manage reporting to track cloud migration (consumption and revenue on cloud)
People and Stakeholder management
Lead a distributed FinOps team, providing coaching, performance management, and career development.
Participate and heavily contribute to a cross functional technology leadership team, located in multiple global locations.
Upskill and train people around the organisation in FinOps practises and cloud cost management.
Influence key stakeholders to factor commercial implications of cloud decisions for whole of Experian
Support in developing a team with skills required to continue to move Experian into an organization which has best-in-class FinOps capabilities
Qualifications:
Bachelor's or master's degree in business, finance, IT, or analytics; MBA/engineering degree
A minimum of 8+ years of overall professional experience (progressive experience in a financial setting) and relevant experience in cloud FinOps/cloud spend optimisation
Experience in sourcing of public cloud services including cloud sourcing strategy planning
Experience with cloud tools such as Cloudability or AWS native tools
Proven success in KPI development and reporting transformation at scale.
Strong understanding of public cloud players (e.g. AWS, Azure, Google), their product portfolio and commercial cost/structure models
Experience in preparing and analysing investment cases, including complex financial analysis to support major contract negotiations
Exceptional communication, leadership, and stakeholder management skills.
More about you:
Exceptional leadership skills &ndash; including building and leading cross-functional teams in a matrix management environment
Excellent communicator &ndash; both written and verbal.
Strong interpersonal skills &ndash; ability to form and leverage relationships.
Experience of influencing senior leaders.
Highly numerate with ability to draw meaningful conclusions and drive actions from analysis.
Confidence to challenge commercial decisions.
A strong courage of conviction, particularly in ambiguous situations.
Enthusiasm and desire to drive the business forward.
Experience of change management.
Everyone has different experience, and so please don't rule yourself out if you cannot 'tick' all of the qualities mentioned above. Talk to us about the experience that you do have. 
 
<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. 
 
<div>Experience and Skills</div> 
<ul><li>Bachelor's or master's degree in business, finance, IT, or analytics; MBA/engineering degree</li><li>
A minimum of 8+ years of overall professional experience (progressive experience in a financial setting) and relevant experience in cloud FinOps/cloud spend optimisation</li><li>
Experience in sourcing of public cloud services including cloud sourcing strategy planning</li><li>
Strong understanding of public cloud players (e.g. AWS, Azure, Google), their product portfolio and commercial cost/structure models</li><li>
Proven success in KPI development and reporting transformation at scale.</li><li>
Experience with cloud tools such as Cloudability or AWS native tools</li></ul> 
 
<div>Additional Information 
</div> 
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>

Global Head Experian FinOps Practice

<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 an experienced and driven Data Scientist to join our team and lead the development of AI-powered solutions. As a Data Scientist, you will work closely with cross-functional teams to design, implement, and deploy data-driven solutions that drive business value. You will play a key role in shaping our data science strategy, mentoring junior team members, and ensuring the robustness and scalability of our models in production environments. 
What you'll need to bring to the role &amp; Experian<ul><li> 
A Bachelor's/Master's/Ph.D. degree in computer science, Statistics, Mathematics, Data Science, or a related field.</li><li>2+ years of experience in data science or machine learning, with a strong track record of delivering impactful solutions.</li><li>Proficiency in Python and ML frameworks such as scikit-learn, XGBoost, PyTorch, TensorFlow, or similar.</li><li>Strong understanding of statistical modeling, time series forecasting, supervised and unsupervised learning, and optimization techniques.</li><li>Good understanding of generative AI concepts and principles.</li><li>Intermediate to fluent English proficiency &ndash; technical concepts clearly in English is essential.</li><li>Experience working with financial datasets (e.g., credit scoring, fraud detection, risk modeling, pricing, or forecasting).</li><li>Proficiency in SQL and experience with relational and non-relational databases (e.g., PostgreSQL, CosmosDB, MongoDB).</li><li>Experience deploying models into production using Databricks and cloud platforms (AWS, GCP, or Azure).</li><li>Familiarity with MLOps practices, CI/CD pipelines, and model monitoring tools.</li><li>Experience with data visualization tools (e.g., Plotly, Tableau) to communicate insights effectively.</li></ul>
Work that matters - What you'll be doing<ul><li> 
Lead the design, development, and deployment of machine learning models to solve high-impact financial problems.</li><li>Collaborate with product managers, engineers, and business stakeholders to define data science use cases and translate them into actionable solutions.</li><li>Analyse large-scale structured and unstructured datasets to extract insights and build predictive models.</li><li>Develop and maintain robust model training workflows.</li><li>Ensure model interpretability, fairness, and compliance with regulatory standards.</li><li>Communicate findings and recommendations clearly to both technical and non-technical audiences.</li></ul> 
More about you<ul><li> 
Passion for using data to drive decisions.</li><li>A mindset for continuous learning and innovation.</li><li>Ethical awareness of bias, fairness, and transparency in AI models.</li></ul> 
Why this role is important to us 
This role is critical to our mission of leveraging data and AI to drive innovation across our services. As a Data Scientist, your expertise will directly influence strategic decisions, improve customer outcomes, and enhance operational efficiency. You will collaborate closely with professionals from diverse backgrounds - including product, engineering, operations, and business strategy - to solve real-world challenges across multiple domains. Your insights will help shape our data science roadmap and deliver measurable value to the organization. 
Qualifications<ul><li> 
A Bachelor's/Master's/Ph.D. degree in computer science, Statistics, Mathematics, Data Science, or a related field.</li><li>2+ years of experience in data science or machine learning, with a strong track record of delivering impactful solutions.</li></ul> 
Additional Information 
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
Find out what its like to work for Experian by clicking here</div>

Data Scientist

<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 an experienced and driven
 
 Data Scientist
 
 to join our team and lead the development of AI-powered solutions. As a
 
 Data Scientist
 
 , you will work closely with cross-functional teams to design, implement, and deploy data-driven solutions that drive business value. You will play a key role in shaping our data science strategy, mentoring junior team members, and ensuring the robustness and scalability of our models in production environments.
 
 
 
 What you'll need to bring to the role &amp; Experian
 
 
 
 <ul>
 <li>
 A Bachelor's/Master's/Ph.D. degree in computer science, Statistics, Mathematics, Data Science, or a related field.
 </li>
 <li>
 2+ years of experience in data science or machine learning, with a strong track record of delivering impactful solutions.
 </li>
 <li>
 Proficiency in Python and ML frameworks such as scikit-learn, XGBoost, PyTorch, TensorFlow, or similar.
 </li>
 <li>
 Strong understanding of statistical modeling, time series forecasting, supervised and unsupervised learning, and optimization techniques.
 </li>
 <li>
 Good understanding of generative AI concepts and principles.
 </li>
 <li>
 Intermediate to fluent English proficiency &ndash; technical concepts clearly in English is essential.
 </li>
 <li>
 Experience working with financial datasets (e.g., credit scoring, fraud detection, risk modeling, pricing, or forecasting).
 </li>
 <li>
 Proficiency in SQL and experience with relational and non-relational databases (e.g., PostgreSQL, CosmosDB, MongoDB).
 </li>
 <li>
 Experience deploying models into production using Databricks and cloud platforms (AWS, GCP, or Azure).
 </li>
 <li>
 Familiarity with MLOps practices, CI/CD pipelines, and model monitoring tools.
 </li>
 <li>
 Experience with data visualization tools (e.g., Plotly, Tableau) to communicate insights effectively.
 
 
 </li>
 </ul>
 
 Work That Matters - What You'll Be Doing
 
 
 
 <ul>
 <li>
 Lead the design, development, and deployment of machine learning models to solve high-impact financial problems.
 </li>
 <li>
 Collaborate with product managers, engineers, and business stakeholders to define data science use cases and translate them into actionable solutions.
 </li>
 <li>
 Analyse large-scale structured and unstructured datasets to extract insights and build predictive models.
 </li>
 <li>
 Develop and maintain robust model training workflows.
 </li>
 <li>
 Ensure model interpretability, fairness, and compliance with regulatory standards.
 </li>
 <li>
 Communicate findings and recommendations clearly to both technical and non-technical audiences.
 
 
 </li>
 </ul>
 
 More About You
 
 
 
 <ul>
 <li>
 Passion for using data to drive decisions.
 </li>
 <li>
 A mindset for continuous learning and innovation.
 </li>
 <li>
 Ethical awareness of bias, fairness, and transparency in AI models.
 
 
 </li>
 </ul>
 
 Why this role is important to us
 
 
 
 This role is critical to our mission of leveraging data and AI to drive innovation across our services. As a Data Scientist, your expertise will directly influence strategic decisions, improve customer outcomes, and enhance operational efficiency. You will collaborate closely with professionals from diverse backgrounds - including product, engineering, operations, and business strategy - to solve real-world challenges across multiple domains. Your insights will help shape our data science roadmap and deliver measurable value to the organization.
 
 
 
 Qualifications
 
 
 
 <ul>
 <li>
 A Bachelor's/Master's/Ph.D. degree in computer science, Statistics, Mathematics, Data Science, or a related field.
 </li>
 <li>
 2+ years of experience in data science or machine learning, with a strong track record of delivering impactful solutions.
 
 
 </li>
 </ul>
 
 Additional Information
 
 
 
 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
</div>

<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 
As a Data Architect, you will play a critical role in designing and governing modern, cloud-native data platforms and analytics solutions. You will work closely with global technology teams to design data models, review data architecture designs, and ensure alignment with enterprise standards. Your influence will help shape the future of our data and analytics landscape.
Key Responsibilities<ul><li>
Lead data architecture reviews and provide feedback on data platform designs, data models, and non-functional requirements</li><li>
Collaborate with global teams to ensure architectural alignment, drive reuse of data assets, and champion high-quality data engineering practices</li><li>
Design and implement conceptual, logical, and physical data models for complex financial systems</li><li>
Act as a strong, visible advocate for enterprise data platforms and champion their adoption with regional stakeholders</li><li>
Design scalable, secure, and resilient data solutions using AWS services including SageMaker Unified Studio</li><li>
Guide engineering teams in applying cloud data architecture patterns, AWS Well-Architected Framework principles, and data modeling best practices</li><li>
Develop and maintain architectural documentation including data models, blueprints, patterns, and technical specifications</li><li>
Lead the migration of existing data capabilities onto modern cloud-native data platforms</li><li>
Oversee subsequent data platform migration and decommissioning of legacy data systems</li><li>
Work closely with multiple product teams to capture data requirements and feed them into platform backlogs</li><li>
Contribute to the definition and evolution of the enterprise data platform roadmap, ensuring alignment with business and technology goals</li><li>
Stay current with emerging data technologies and industry best practices</li><li>
Mentor data engineering teams and promote architectural excellence across the organisation</li><li>
Provide technical leadership in the integration of unified analytics and AI platforms using SageMaker Unified Studio</li></ul> 
Qualifications 
<ul><li>
8+ years in enterprise data architecture and modeling, with proven experience as a Data Architect.</li><li>
Strong hands-on experience with AWS data services: Storage &amp; Lakehouse: S3, Lake Formation Processing: Glue, EMR (Spark), Lambda Warehouse: Redshift Streaming: Kinesis, MSK AI/ML: SageMaker Unified Studio</li><li>
Strong understanding of cloud-native architectures, data lakehouse, and event-driven/streaming patterns</li><li>
Expertise in data modeling techniques (3NF, Dimensional, Data Vault 2.0)</li><li><ul><li>Strong understanding of cloud-native data architectures, including data lakehouse, event-driven, and streaming patterns</li></ul></li><li>
Experience with infrastructure as code (Terraform, AWS CDK) and CI/CD (Jenkins, Bitbucket)</li></ul> 

Additional Information 
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
Find out what its like to work for Experian by clicking here</div>

Data Architect – Cloud Data & Analytics (AWS Focus)

Join Experian and explore 12   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.

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