Qureos Mentor

LexisNexis Risk Solutions

<div>Job Discipline Description Delivers remote (e.g., telephone, online) post-sale troubleshooting and diagnostic support services to ensure that all products and services function properly | Resolves technical support inquiries directly or indirectly through on-site and/or remote first-level support representatives General Profile Expands analytical or technical skills in own work area Maintains appropriate licenses, training and/or certifications, as needed Applies experience and skills to complete assigned work within our area of expertise Works within standard operating procedures and/or analytical methods Works with a moderate degree of supervision Recommended Skills Functional Knowledge: Applies analytical and technical skills to perform a variety of activities Business Expertise: Has good understanding of how the team integrates with others Leadership: Has no supervisory responsibilities Problem Solving: Recognizes and solves routine problems that can occur in own work area with or without supervisory approval; evaluates and selects solutions from established operating procedures Impact: Impacts the quality and quantity of own work Interpersonal Skills: Uses communication skills and common courtesy to exchange information
U.S. National Base Pay Range: $40,400 - $67,400. Geographic differentials may apply in some locations to better reflect local market rates.
We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location.
We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120.
Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here .
Please read our Candidate Privacy Policy .
We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.
USA Job Seekers:
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Technical Support Analyst I

<div>Are you passionate about building trusted customer data foundations that power meaningful marketing decisions?
Would you like to shape scalable data pipelines and models that improve customer journeys, analytics, and business outcomes?
About the Business
LexisNexis Risk Solutions is the essential partner in the assessment of risk. Within our Business Services vertical, we offer a multitude of solutions focused on helping businesses of all sizes drive higher revenue growth, maximize operational efficiencies, and improve customer experience. Our solutions help our customers solve difficult problems in the areas of Anti-Money Laundering/Counter Terrorist Financing, Identity Authentication &amp; Verification, Fraud and Credit Risk mitigation and Customer Data Management. You can learn more about LexisNexis Risk at the link below, LexisNexis Risk Solutions | Transform Your Risk Decision Making
About our Team
This role acts as the technical backbone for the Marketing Hub &mdash; partnering closely with analytics, MarTech, and digital teams to deliver the pipelines, data models, and governance frameworks that support personalisation, measurement, experimentation, and strategic decision‑making. The Data Engineer ensures data is not only accurate and compliant but designed for high performance and long‑term growth.
About the Role
The Data Engineer plays a foundational role in enabling modern, insight‑driven marketing by building and maintaining the data infrastructure that powers the organisation&rsquo;s customer intelligence ecosystem. Working across the Customer Data Platform , journey orchestration capability , and advanced analytics and dashboarding environment , the role ensures that marketing has access to trusted, well‑structured, and scalable data.
Responsibilities
<ul><li>Data Architecture &amp; Pipeline Engineering: Build and maintain reliable pipelines integrating customer, campaign, and operational data into the CDP, ensuring accuracy and readiness for analysis
</li><li>Marketing Data Model Design: Develop scalable models supporting segmentation, lifecycle analytics, attribution, and KPI frameworks
</li><li>CDP Enablement &amp; Identity Management: Partner with MarTech and Analytics to improve identity resolution, consent logic, and data quality within the CDP
</li><li>Journey Orchestration Data Readiness: Enable event streams, triggers, and monitoring to support accurate, timely customer journeys
</li><li>Analytics &amp; Dashboarding Enablement: Provide structured datasets and semantic layers for reporting and dashboards, aligned with KPI frameworks
</li><li>Data Governance &amp; Quality Assurance: Maintain data quality, lineage, and compliance with GDPR and PII standards
</li><li>Collaboration &amp; Strategic Influence: Work closely with the Senior Marketing Analyst to align on priorities, translating technical concepts into business insights
</li><li>Operational Excellence &amp; Standards: Ensure scalable, stable data operations using best practices in automation, observability, and continuous improvement
</li></ul>Requirements
<ul><li>Advanced SQL, ETL/ELT frameworks, and cloud data platforms such as Azure, AWS, or GCP
</li><li>Data modelling and pipeline orchestration using tools such as Airflow, Data Factory, dbt, or similar
</li><li>Integrate CDP data sources across digital, CRM, transactional, and behavioural data; support identity resolution, consent handling, audience activation, journey events, trigger logic, and behavioural signals
</li><li>Build data marts and semantic layers for dashboarding and BI tools such as Power BI or Tableau; structure datasets optimised for KPI frameworks, attribution, funnel, and lifecycle analytics
</li><li>Apply data quality frameworks, lineage, cataloguing, and GDPR/PII compliance practices
</li><li>Design secure data pipelines with monitoring, alerting, and SLA/SLO management
</li><li>Translate business and marketing needs into clear technical specifications, communicating technical topics clearly to non-technical stakeholders
</li><li>Partner with analytics, marketing ops, and MarTech teams to own scalable, reliable, trusted customer-data solutions
</li></ul>Risk benefit statement
Learn more about the LexisNexis Risk team and how we work
 
https://relx.wd3.myworkdayjobs.com/RiskSolutions/page/21c296c982531000b79663f3194b0000 

We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location.
We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120.
Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here .
Please read our Candidate Privacy Policy .
We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.
USA Job Seekers:
EEO Know Your Rights .</div>

Data Engineer

<div>Are you ready to take the next step in your engineering career and make an impact in aviation analytics?
Would you enjoy working on cutting-edge products with a collaborative, global team?
About the Business
At Cirium, our goal is to keep the world connected. We are the industry leader in aviation analytics; helping our customers understand the past, present, and predicting what will happen tomorrow. Our mission is to transform the aviation industry by enabling airlines, airports, travel companies, tech giants, aircraft manufacturers, financial institutions, and many more accelerate their own digital transformation. You can learn more about Cirium at https://www.cirium.com/
About our Team
You will be joining a collaborative, curious, team of Software Engineers at all different levels. By joining us you will have the opportunity to share ownership in solving this problem end to end.
About the Role
As a Software Engineer III, you will contribute to building scalable, high-quality software solutions within a specific product or functional area. You&rsquo;ll collaborate with teammates to design, develop, and improve systems while solving real-world problems that support innovative aviation analytics products.
Responsibilities
<ul><li>Interfacing with other personnel or team members to finalize requirements
</li><li>Writing and reviewing portions of detailed specifications for the development of system components of moderate complexity
</li><li>Working closely with other Development team members to understand Product Requirements and translate them into Software designs
</li><li>Implementing development processes, coding best practices and code reviews
</li><li>Operating in various development environments (Agile, Waterfall, etc.) while collaborating with key stakeholders
</li><li>Completing bug fixes and resolving technical issues
</li></ul>Requirements
<ul><li>Have solid Software Development experience
</li><li>Be proficient in development languages, including one or more the following: Java, Springboot, Python, C#
</li><li>Have an excellent understanding of data modelling principles, data manipulation languages, and storage systems
</li><li>Be familiar with industry best practices, such as code coverage
</li><li>Have a good knowledge of software development methodologies (e.g., Agile, Scrum, Kanban) and test-driven development
</li><li>Have the ability to work well with internal and external technology resources
</li><li>Have excellent verbal and written communication skills
</li></ul>Risk benefit statement
Learn more about the LexisNexis Risk team and how we work here 
We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location.
We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120.
Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here .
Please read our Candidate Privacy Policy .
We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.
USA Job Seekers:
EEO Know Your Rights .</div>

Software Engineer III

<div>About ICIS
ICIS is part of Lexis Nexis Risk a division of RELX Group, a FTSE 20 company with revenues of $12.9 billion in 2025 and an employee base of over 30,000 people across 40 countries. ICIS makes some of the world&rsquo;s most important markets more trusted and predictable by providing data services, thought leadership and decision tools. We exist to help businesses in the energy, petrochemical and fertilizer industries make strategic decisions, mitigate risk, improve productivity, and capitalise on new opportunities. Thousands of decisions are taken across supply chains every day using our intelligence and we make this possible through a global presence that delivers the targeted, local insights customers need to achieve growth in this new world of meaningful data. Shaping the world by connecting markets to optimise the world&rsquo;s valuable resources. With a global team of more than 700, ICIS has employees based in London, New York, Houston, Karlsruhe, Frankfurt, Milan, Mumbai, Singapore, Guangzhou, Beijing, Shanghai, Dubai, Sao Paulo, Seoul, Tokyo and Perth. 
Job Purpose:
Are you an experienced Quant Analyst / Data Scientist in energy markets? As Quantitative Analyst at ICIS, you will drive data-based innovation and complement our technical capability to operationally deploy and maintain Data Science models and model interfaces in some of the largest industries in the world - energy and chemicals with global supply networks. You will join our existing team of experienced Data Scientists and work closely alongside ICIS market experts around the globe. Our models enable the analysis of prices and market fundamentals to support decision making in trading and operations. You will be part of an international team, which requires occasional travel globally. As of day one, you will take responsibility in demanding analytics innovation projects - your primary focus will be to design, improve and maintain models and Python (dash) applications for augmented energy pricing processes across a wide range of markets. 
Key Accountabilities/Responsibilities: 
<ul><li>Maintain and enhance applications in Python (Dash) to put the &ldquo;human in the loop&rdquo; with Data Science models
</li></ul><ul><li>Drive and support R&amp;D and operation of data-driven analytical market models: Together with our analysts and market experts, you will co-develop strong quantitative market models to predict key market variables drawing from a wide variety of techniques; guide and support others in the development of models, implement new models as well as model enhancements, such as driving cloud-based model and process automation
</li></ul><ul><li>Engage with internal market experts to explain our models and insights and to discuss the market structure and key drivers - translating domain knowledge back into our models and building a deep understanding of operations and decision making in our markets
</li></ul><ul><li>Drive maintenance and improvements of the code base and code structure for operational models and backend data architectures
</li></ul><ul><li>Develop, test, and roll out new application functionality and change requests following product owner prioritization
</li></ul><ul><li>Manage operational models &amp; applications (monitoring, refactoring, update of live services)
</li></ul><ul><li>Review and debug code and ensure good code documentation
</li></ul><ul><li>Enable efficient communication across teams through fast prototyping and demos of potential solutions
</li></ul><ul><li>Expand your knowledge, by learning new techniques and applying them to existing and new analytical problems in our markets. Actively share knowledge and innovation areas with your peers 
</li></ul> 
Key Skills/Experience Required: 
<ul><li>Minimum of 3 to 5 years of practical experience as a software engineer, preferably in the context of markets and market prices
</li></ul><ul><li>Excellent Python skills and experience with Python packages for applications (such as Dash)
</li></ul><ul><li>Professional use of version control tools in projects involving several developers
</li></ul><ul><li>Experience with designing and managing containerized applications and familiarity with cloud platforms (e.g. AWS)
</li></ul><ul><li>Data handling and data modeling knowledge and experience using relational databases (e.g. PostgreSQL)
</li></ul><ul><li>Holistic perspective on business value from analytics and a strong ability to explain complex topics to diverse stakeholders at the appropriate level, strong communication and engagement
</li></ul><ul><li>Preferably previous exposure to Data Analytics or Data Science and an interest in working on analytics and forecasting projects heavily reliant on human / machine collaboration 
</li></ul>We offer: 
<ul><li>A highly stable job environment part of a company with 30,000 employees
</li></ul><ul><li>A vibrant working environment in a dynamic, inclusive, ambitious and committed team which drives Data Science forward and keeps a start-up like atmosphere
</li></ul><ul><li>Flexibility, loyalty, empowerment, and trust as part of our corporate culture
</li></ul><ul><li>Benefits, e.g. fitness studio, 20 days work from anywhere and 2 days additional leave for social engagement 
</li></ul>We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law. At ICIS, we are committed to Diversity and Inclusion, we have a leadership team who are 50% women and more than a third of our technology team are female.
Primary Location Base Pay Range: Germany - Karlsruhe &euro;59,300 - &euro;98,600.
We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location.
We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120.
Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here .
Please read our Candidate Privacy Policy .
We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.
USA Job Seekers:
EEO Know Your Rights .</div>

Senior Data Scientist (Commodity Markets) m/f/d

<div>Seeking an ambitious, detail-oriented Software Engineer to be part of a core development group responsible for cutting-edge software solutions used internally by technology teams across RELX Group. As a member of our team, you will be expected not only to have a deep and comprehensive knowledge of modern Java enterprise development and best practices but will be seen as a &ldquo;go to&rdquo; person across the division for a set of technologies. Our group develops and maintains Java libraries for reading, writing, analyzing, transforming, and managing data in various formats in both on-premises and cloud environments, including SQL and NoSQL databases as well as other cloud storage solutions. The libraries we create expedite and standardize the development of applications and microservices by our partner product technology teams. On our team, you are not developing with a framework- you are developing the framework! You will need excellent communication skills, as well as the ability to quickly comprehend new and unfamiliar APIs and software frameworks. You will be responsible for research, design, and software development assignments and will provide direct input to project plans and scheduling. You will also work with technologists on other teams to translate their needs into requirements and solutions.
 
 
QUALIFICATIONS:
 
5+ years of Software Engineering experience
 
BS Engineering/Computer Science or equivalent experience required
 
 
TECHNICAL SKILLS:
<ul><li>Expertise in core Java development (version 17 and up).
</li><li>Strong knowledge of Java object-oriented design and architectural principles. The ability to design and code to interfaces effectively.
</li><li>Problem-solving experience and the ability to effectively troubleshoot complex issues and find effective, strategic solutions.
</li><li>Strong data manipulation and data analysis skills.
</li><li>Experience working with git.
</li><li>Experience with agile and test-driven development.
</li><li>Ability to effectively prioritize tasks, manage time, and cope with change.
</li><li>Strong research skills.
</li><li>Good oral and written communications skills.
</li></ul>Applicants with experience in the following technologies will be preferred:
<ul><li>Cloud-based development, particularly Azure experience
</li><li>Big data processing (particularly Spark/Databricks, specifically in a data engineering role)
</li></ul>ACCOUNTABILITIES :
<ul><li>Work effectively with team members and other technical personnel to create or understand requirements, troubleshoot issues, and deliver solutions.
</li><li>Complete enhancements and bug fixes.
</li><li>Successfully implement development processes, coding best practices, and code reviews.
</li><li>Keep abreast of new technology developments.
</li><li>All other duties as assigned.
</li></ul>&amp;#xa;&amp;#xa;U.S. National Base Pay Range: $86,600 - $144,400. Geographic differentials may apply in some locations to better reflect local market rates.&amp;#xa;&amp;#xa;&amp;#xa;&amp;#xa;This job is eligible for an annual incentive bonus.&amp;#xa;&amp;#xa;&amp;#xa;&amp;#xa;&amp;#xa;&amp;#xa;
We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location.
We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120.
Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here .
Please read our Candidate Privacy Policy .
We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.
USA Job Seekers:
EEO Know Your Rights .</div>

Senior Software Engineer I

<div>Are you passionate about improving data quality and readiness to unlock the full potential of AI solutions?
Do you enjoy collaborating across teams to ensure data is structured, governed, and usable for intelligent systems?
About the Business:
LexisNexis Risk Solutions is the essential partner in the assessment of risk. Within our Business Services vertical, we offer a multitude of solutions focused on helping businesses of all sizes drive higher revenue growth, maximize operational efficiencies, and improve customer experience. Our solutions help our customers solve difficult problems in the areas of Anti-Money Laundering/Counter Terrorist Financing, Identity Authentication &amp; Verification, Fraud and Credit Risk mitigation and Customer Data Management. You can learn more about LexisNexis Risk at the link below,
https://risk.lexisnexis.com
About the Team:
We are a newly formed Enterprise AI team focused on enabling agent-based solutions across the organization. We build and manage the environments, platforms, and guardrails that allow teams to create, test, and scale AI agents safely and efficiently turning experimentation into real business impact.
We&rsquo;re a team of curious builders and operators who are constantly exploring, learning, and applying new AI tools and approaches to solve real-world problems and improve how work gets done.
About the Role:
We are seeking an AI Data Analyst to support teams in preparing and maintaining AI‑ready data for use in AI tools, copilots, and intelligent agents. This role focuses on data readiness, quality, metadata, and governance, helping teams understand how to structure, document, and manage their data so it can be safely and effectively used by AI systems.
The AI Data Analyst partners with data engineering, AI, and governance teams to assess data readiness, identify gaps and recommend improvements. This role does not own end‑to‑end data pipelines and is not expected to be a deep technical expert in RAG or embeddings, but should have a solid working understanding of AI‑driven data needs.
Responsibilities:
AI Data Readiness Support
<ul><li>Work with product and delivery teams to assess whether datasets and content are fit for AI use cases .
</li><li>Help teams understand and apply AI data readiness standards , including quality, freshness, metadata, and access expectations.
</li><li>Identify common data issues that impact AI outcomes (e.g., stale data, unclear ownership, missing metadata) and recommend remediation steps.
</li><li>Contribute to repeatable checklists, guidance, or documentation that help teams prepare data for AI.
</li></ul>Data Quality &amp; Relevance
<ul><li>Support data quality checks focused on accuracy, completeness, consistency, and timeliness for AI‑consumed data.
</li><li>Assist in monitoring and validating data freshness and relevance, escalating issues to engineering or data owners as needed.
</li><li>Help teams improve data clarity and usability to reduce ambiguity in AI outputs.
</li></ul>Metadata &amp; Semantic Enablement
<ul><li>Assist teams in improving metadata, documentation, and business descriptions so AI systems can better interpret content.
</li><li>Support basic semantic labeling or categorization efforts that improve AI retrieval and reasoning (in coordination with engineering teams).
</li><li>Promote good content hygiene practices (clear structure, consistent naming, well‑scoped documents).
</li></ul>AI Data Sources &amp; Retrieval (Support Role)
<ul><li>Support the upkeep and documentation of approved data sources used by AI solutions.
</li><li>Help ensure data included in AI retrieval scenarios is appropriate, governed, and up to date.
</li><li>Collaborate with AI and platform teams on data inclusion/exclusion decisions without owning technical implementation.
</li></ul>Governance, Lineage &amp; Compliance Awareness
<ul><li>Help teams align AI‑consumed data with enterprise governance requirements , including classification, access controls, and retention.
</li><li>Support basic data lineage and ownership documentation for AI‑relevant datasets.
</li><li>Partner with governance and security teams by surfacing risks or gaps; does not act as final approval authority.
</li></ul>What This Role Does Not Own
<ul><li>Does not design or own end‑to‑end production data pipelines.
</li><li>Does not act as the primary technical owner for RAG frameworks, vector databases, or embedding strategies.
</li><li>Does not make final governance or compliance decisions independently.
</li></ul>Requirements:
<ul><li>Proven experience in data analysis, analytics engineering, data operations, or data quality roles.
</li><li>Good understanding of data quality principles and how poor data impacts downstream systems.
</li><li>Experience working with structured and unstructured data (tables, files, documents, knowledge assets).
</li><li>Proficiency in SQL and comfort investigating data issues.
</li><li>Familiarity with data governance fundamentals (classification, access controls, ownership, retention).
</li><li>Strong communication skills and ability to explain data concepts to non‑technical stakeholders.
</li></ul>Preferred Qualifications
<ul><li>Exposure to AI‑enabled products, copilots, or search‑based solutions.
</li><li>Basic familiarity with AI data concepts such as semantic search, embeddings, or retrieval patterns.
</li><li>Experience working in enterprise or regulated environments.
</li><li>Experience contributing to standards, playbooks, or shared data practices.
</li></ul>What Success Looks Like
<ul><li>Teams can reliably prepare datasets that meet AI readiness expectations with less rework.
</li><li>AI solutions benefit from more relevant, up‑to‑date, and understandable data .
</li><li>Clear ownership and documentation exist for data used by AI systems.
</li><li>Strong collaboration between delivery teams, data engineering, and governance.
</li></ul>Working for You:
We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer:
<ul><li>Medical Inpatient and Outpatient Insurance: Coverage for your healthcare needs.
</li><li>Life Assurance Policies: Providing financial security for your loved ones.
</li><li>Modern Family Benefits: Support for maternity, paternity, and adoption needs.
</li><li>Long Service Award: Recognition for your dedication and loyalty.
</li><li>Celebratory Allowance/Gifts: Marking special occasions to celebrate with you.
</li><li>Flexible Benefits Plan : Offering you wider choice of services and products
</li><li>Employee Assistance Program : Access support for personal and work-related challenges.
</li><li>Flexible Working Arrangements: Balance work and personal life effectively.
</li><li>Access to Learning and Development Resources: Empowering your professional growth.
</li></ul>Risk benefit statement
 
Learn more about the LexisNexis Risk team and how we work: https://relx.wd3.myworkdayjobs.com/RiskSolutions/page/21c296c982531000b79663f3194b0000
&amp;#xa;&amp;#xa;U.S. National Base Pay Range: $78,800 - $131,300. Geographic differentials may apply in some locations to better reflect local market rates.&amp;#xa;&amp;#xa;If performed in Ohio, the base pay range is $74,900 - $124,700.&amp;#xa;&amp;#xa;This job is eligible for an annual incentive bonus.&amp;#xa;&amp;#xa;&amp;#xa;&amp;#xa;&amp;#xa;&amp;#xa;
We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location.
We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120.
Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here .
Please read our Candidate Privacy Policy .
We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.
USA Job Seekers:
EEO Know Your Rights .</div>

AI Data Analyst

<div>Are you motivated to build scalable data solutions that directly shape customer engagement and marketing performance?
Do you enjoy collaborating across teams to turn complex data into actionable insights and real-time decision making?
<h3 class="jobSectionHeader">About the Business
</h3>LexisNexis&reg; Risk Solutions provides customers with solutions and decision tools that combine public and industry-specific content with advanced technology and analytics to assist in evaluating and predicting risk and enhancing operational efficiency.
We use the power of data and advanced analytics to help our customers make better, timelier decisions. By bringing clarity to information, we help make communities safer, insurance rates more accurate, commerce more transparent, business decisions easier, and processes more efficient.
About Our Team
The MarTech &ndash; Marketing Automation team is a dynamic group managing several SaaS-based solutions within the Marketing Technology stack for LNRS Data Services.
About the Role
This role focuses on building and optimising data infrastructure that enables advanced marketing and customer data capabilities. You will create scalable pipelines, data models, and governance practices that support analytics, segmentation, and real-time engagement. Working closely with cross-functional teams, you will help deliver reliable, high-quality data solutions that drive business outcomes.
Responsibilities
<ul><li>Build and maintain scalable data pipelines integrating customer, campaign, and operational data into the CDP and marketing data layer
</li><li>Design and manage data models to support segmentation, lifecycle analytics, attribution, and KPI measurement
</li><li>Ensure data quality, consistency, deduplication, and optimisation for analytics and reporting use cases
</li><li>Enable CDP functionality including identity resolution, consent management, and audience readiness
</li><li>Develop event streams and triggers to support customer journey orchestration and real-time decisioning
</li><li>Provide structured datasets and semantic layers for dashboards and advanced analytics
</li><li>Implement data governance practices, including lineage, cataloguing, validation, and GDPR/PII compliance
</li><li>Partner with analytics, MarTech, and marketing teams to align data solutions with business needs
</li></ul>Requirements
<ul><li>Strong SQL skills and experience with ETL/ELT and pipeline orchestration tools (e.g., Airflow, dbt, Data Factory)
</li><li>Experience with cloud data platforms (e.g., Azure, AWS, or GCP)
</li><li>Proficiency in data modelling (dimensional, entity-relationship, event-driven)
</li><li>Understanding of marketing data ecosystems, including CDPs, CRM, and behavioural data
</li><li>Experience supporting analytics and BI tools (e.g., Power BI, Tableau) from a data engineering perspective
</li><li>Knowledge of data governance, quality frameworks, and secure data handling (including GDPR/PII)
</li><li>Ability to translate business requirements into scalable technical solutions
</li><li>Strong collaboration and communication skills with technical and non-technical stakeholders
</li></ul>You can learn more about LexisNexis Risk Solutions here:
 
LexisNexis Risk Solutions 
We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location.
We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120.
Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here .
Please read our Candidate Privacy Policy .
We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.
USA Job Seekers:
EEO Know Your Rights .</div>

Senior Data Scientist II

Join LexisNexis Risk Solutions and explore 8   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.