Data Science Lecturer

Midrand, Gauteng Eduvos

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Get notified about new Lecturer jobs in United States .

Assistant/Associate/Professor - Educational Leadership Assistant Professor - Teacher Education Generalist Assessment Assistant Professor - Education Specialties Assistant Professor of English, British Literature Assistant Professor of African American Literature Part-time Lecturer-Business & Hospitality Part-time Lecturer- Language and Literature / Literary Studies Assistant/Associate Professor of Finance Adjunct Faculty, Continuing Education - Lifelong Learning Instructor - FA25/SP26 Assistant / Associate Professor (Entrepreneurship), Department of Management & Entrepreneurship, Fall 2026 Lecturer - LING 341: Language Issues in the United States (Fall 2025) Part-time Lecturer - Interdisciplinary Studies/Teacher Development Center Assistant Professor - Agriculture (Soils) Assistant Professor Organizational Studi Lecturer - PHIL 110: Critical Thinking (Fall 2025) Assistant/Associate Professor of Finance School of Global Innovation & Leadership Lecturer Pool Assistant/Associate/Full Professor (General) Assistant Professor of Elementary Literacy Education Assistant Professor of Elementary Literacy Education Special Assistant Professor of Writing Studies Assistant/Associate Professor of Management Assistant/Associate Professor of Mathematics Assistant Professor and Director of Project Management Lecturer (Assistant Professor) or Senior Lecturer in Management Science and Operations Assistant Professor/Lecturer in Economics #J-18808-Ljbffr
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Data Science Analyst

Midrand, Gauteng Accenture in South Africa

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THE WORK : Join our dynamic team and embark on a journey where you will be empowered to perform independently and become an SME. Required active participation/contribution in team discussions and contribute in providing solutions to work related problems. Let's create a brighter future together!

Use existing research methods and develop new approaches to discover anthropological, ethnographical and sociological insights.

Develop brand tracking systems and convert data into relevant KPI dashboards.

Utilize analytical methodologies, mathematical modeling or optimization techniques to develop intellectual property.

BONUS POINTS IF YOU HAVE:

  • Advanced proficiency in Generative Design
  • Advanced proficiency in Machine Learning

HERE'S WHAT YOU WILL NEED:

  • Expert proficiency in Data Science.
  • Advanced proficiency in Data Analytics.
  • A minimum of 1 year of experience in relevant related skills.
  • Bachelor's Degree in relevant field of studies

BONUS POINTS IF YOU HAVE:

  • Advanced proficiency in Generative Design
  • Advanced proficiency in Machine Learning

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Data Science Analyst

Midrand, Gauteng R900000 - R1200000 Y Accenture in South Africa

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THE WORK
: Join our dynamic team and embark on a journey where you will be empowered to perform independently and become an SME. Required active participation/contribution in team discussions and contribute in providing solutions to work related problems. Let's create a brighter future together

Use existing research methods and develop new approaches to discover anthropological, ethnographical and sociological insights.

Develop brand tracking systems and convert data into relevant KPI dashboards.

Utilize analytical methodologies, mathematical modeling or optimization techniques to develop intellectual property.

BONUS POINTS IF YOU HAVE:

Advanced proficiency in Generative Design

Advanced proficiency in Machine Learning

HERE'S WHAT YOU WILL NEED:
Expert proficiency in Data Science.

Advanced proficiency in Data Analytics.

A minimum of 1 year of experience in relevant related skills.

Bachelor's Degree in relevant field of studies

BONUS POINTS IF YOU HAVE:
Advanced proficiency in Generative Design

Advanced proficiency in Machine Learning

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Data Science & Enablement Lead

Randburg, Gauteng Whizants (Pty) Ltd.

Posted 2 days ago

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About the Role

Our client is looking for a hands-on Data Science & Enablement Lead to execute the organisation’s data vision and priorities. This role focuses on operationalising Master Data Management (MDM), data governance, data quality, architecture, and enabling AI, advanced analytics, and data science. You will ensure that enterprise data is accurate, governed, and integrated to support business operations, compliance, and innovation. This includes collaborating across Architecture, Operations, Risk, Governance, and IT to build a scalable, science-ready data ecosystem, integrating data from systems such as Oracle E-Business Suite.

Key Responsibilities
  1. Enterprise Data Execution
    • Execute enterprise data strategy aligned with transformation, compliance, and AI/data science goals.
    • Champion data standards, governance processes, and quality metrics across functions.
    • Lead governance forums and implement policies, standards, and procedures.
    • Develop and maintain an enterprise data platform using Microsoft Azure, Microsoft Fabric, or similar.
    • Enable business teams with structured, accessible, and trusted datasets.
  2. Master Data Management (MDM)
    • Implement MDM framework across master data domains (items, customers, suppliers, etc.).
    • Harmonize master data for consistency across systems and support analytics/AI.
    • Monitor and improve data quality in terms of completeness, accuracy, and timeliness.
  3. Data Integration & Platform Development
    • Design and operate a central data lake according to best practices.
    • Lead data integration from systems, including Oracle E-Business Suite and others.
    • Design and implement secure data access controls using Active Directory groups, ensuring authorised data access.
    • Ensure data is accessible, secure, classified, and ready for AI, analytics, and data science.
  4. Governance, Stewardship & Quality
    • Implement data ownership, stewardship, and accountability models.
    • Support stakeholders in compliance with governance controls.
    • Monitor data quality metrics and address issues within SLAs.
    • Ensure data meets ethical standards and is suitable for automated and algorithmic use.
  5. Cross-Functional Delivery
    • Collaborate with Operations, Supply Chain, and Data Science teams to deliver integrated, reliable data.
    • Work with Risk & Governance teams to maintain compliance, audit, and AI-risk policies.
    • Enable analytics and data science by supporting structured, interoperable data pipelines.
Key Deliverables
  • Secure & Scalable Data Lake: Implement and maintain a centralized repository for business-critical data with AD/role-based access.
  • Integrated Data Pipelines: Implement reliable and secure pipelines from Oracle and other platforms.
  • MDM Framework: Deploy MDM for critical entities (customers, products, vendors) to ensure data accuracy and consistency.
  • AI/ML Enablement: Support the design and deployment of ML models for predictive analytics, anomaly detection, segmentation.
  • Data Access Architecture: Implement security frameworks based on Active Directory and role-based security.
  • AI Infrastructure & Insights: Build infrastructure for model deployment, performance monitoring, and automated reporting.
  • Team Collaboration: Lead efforts with business units to discover AI/data opportunities and refine models.
Qualifications & Experience

Essential

  • 8–10+ years in data management, including MDM, governance, integration, and quality initiatives.
  • Experience in the full development lifecycle of a Data Lake in a mid to large enterprise.
  • Expertise in Oracle E-Business Suite and integrating data from multiple systems.
  • Deep knowledge of MDM best practices and AI/ML model building.
  • Experience with Microsoft Azure, Microsoft Fabric, or similar platforms.
  • Strong project management skills for complex data initiatives.
  • Proficiency in Python, SQL, Spark, cloud ETL, and orchestration tools.
  • Experience in designing secure AD/role-based access control systems.
  • Experience with streaming data integration tools like Apache Kafka or Azure Event Hubs.

Desirable

  • Familiarity with data governance frameworks (e.g., DAMA, DCAM).
  • Experience with data cataloging/metadata tools.
  • Experience in regulated industries such as finance, healthcare, or manufacturing.
  • Background in FMCG, manufacturing, retail, or other data-intensive sectors.
Education
  • Bachelor's degree in IT, Computer Science, Data Science, or a related field.
  • Postgraduate qualifications in data, analytics, or BI are advantageous.
Technical Competence
  • Skilled in Azure Data Factory, Synapse, Purview, Microsoft Fabric, etc.
  • Familiar with Oracle EBS data structures and integration approaches.
  • Hands-on experience with MDM tools, ETL platforms, and governance frameworks.
  • Strong knowledge of AI/data science needs: labeling, versioning, ethics.
  • Proficient in operationalizing analytics pipelines for BI, AI, and ML.
  • Experienced with AD-based security and role-based access control.
  • Skilled in real-time data streaming solutions (e.g., Kafka, Event Hubs).
Key Competencies
  • Strategic thinking and end-to-end solution ownership.
  • Strong analytical and problem-solving capability.
  • Excellent communication and stakeholder engagement skills.
  • Leadership and mentorship abilities.
  • Results-driven with a strong focus on quality and delivery.

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Data science & enablement lead

Randburg, Gauteng Whizants

Posted today

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permanent
About the Role Our client is looking for a hands-on Data Science & Enablement Lead to execute the organisation’s data vision and priorities. This role focuses on operationalising Master Data Management (MDM), data governance, data quality, architecture, and enabling AI, advanced analytics, and data science. You will ensure that enterprise data is accurate, governed, and integrated to support business operations, compliance, and innovation. This includes collaborating across Architecture, Operations, Risk, Governance, and IT to build a scalable, science-ready data ecosystem, integrating data from systems such as Oracle E-Business Suite. Key Responsibilities Enterprise Data Execution Execute enterprise data strategy aligned with transformation, compliance, and AI/data science goals. Champion data standards, governance processes, and quality metrics across functions. Lead governance forums and implement policies, standards, and procedures. Develop and maintain an enterprise data platform using Microsoft Azure, Microsoft Fabric, or similar. Enable business teams with structured, accessible, and trusted datasets. Master Data Management (MDM) Implement MDM framework across master data domains (items, customers, suppliers, etc.). Harmonize master data for consistency across systems and support analytics/AI. Monitor and improve data quality in terms of completeness, accuracy, and timeliness. Data Integration & Platform Development Design and operate a central data lake according to best practices. Lead data integration from systems, including Oracle E-Business Suite and others. Design and implement secure data access controls using Active Directory groups, ensuring authorised data access. Ensure data is accessible, secure, classified, and ready for AI, analytics, and data science. Governance, Stewardship & Quality Implement data ownership, stewardship, and accountability models. Support stakeholders in compliance with governance controls. Monitor data quality metrics and address issues within SLAs. Ensure data meets ethical standards and is suitable for automated and algorithmic use. Cross-Functional Delivery Collaborate with Operations, Supply Chain, and Data Science teams to deliver integrated, reliable data. Work with Risk & Governance teams to maintain compliance, audit, and AI-risk policies. Enable analytics and data science by supporting structured, interoperable data pipelines. Key Deliverables Secure & Scalable Data Lake: Implement and maintain a centralized repository for business-critical data with AD/role-based access. Integrated Data Pipelines: Implement reliable and secure pipelines from Oracle and other platforms. MDM Framework: Deploy MDM for critical entities (customers, products, vendors) to ensure data accuracy and consistency. AI/ML Enablement: Support the design and deployment of ML models for predictive analytics, anomaly detection, segmentation. Data Access Architecture: Implement security frameworks based on Active Directory and role-based security. AI Infrastructure & Insights: Build infrastructure for model deployment, performance monitoring, and automated reporting. Team Collaboration: Lead efforts with business units to discover AI/data opportunities and refine models. Qualifications & Experience Essential 8–10+ years in data management, including MDM, governance, integration, and quality initiatives. Experience in the full development lifecycle of a Data Lake in a mid to large enterprise. Expertise in Oracle E-Business Suite and integrating data from multiple systems. Deep knowledge of MDM best practices and AI/ML model building. Experience with Microsoft Azure, Microsoft Fabric, or similar platforms. Strong project management skills for complex data initiatives. Proficiency in Python, SQL, Spark, cloud ETL, and orchestration tools. Experience in designing secure AD/role-based access control systems. Experience with streaming data integration tools like Apache Kafka or Azure Event Hubs. Desirable Familiarity with data governance frameworks (e.g., DAMA, DCAM). Experience with data cataloging/metadata tools. Experience in regulated industries such as finance, healthcare, or manufacturing. Background in FMCG, manufacturing, retail, or other data-intensive sectors. Education Bachelor's degree in IT, Computer Science, Data Science, or a related field. Postgraduate qualifications in data, analytics, or BI are advantageous. Technical Competence Skilled in Azure Data Factory, Synapse, Purview, Microsoft Fabric, etc. Familiar with Oracle EBS data structures and integration approaches. Hands-on experience with MDM tools, ETL platforms, and governance frameworks. Strong knowledge of AI/data science needs: labeling, versioning, ethics. Proficient in operationalizing analytics pipelines for BI, AI, and ML. Experienced with AD-based security and role-based access control. Skilled in real-time data streaming solutions (e.g., Kafka, Event Hubs). Key Competencies Strategic thinking and end-to-end solution ownership. Strong analytical and problem-solving capability. Excellent communication and stakeholder engagement skills. Leadership and mentorship abilities. Results-driven with a strong focus on quality and delivery. #J-18808-Ljbffr
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Data Science Manager: Telemetry Solutions

Midrand, Gauteng R104000 - R130878 Y MiWay Insurance Limited

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Who are we?
We made Miway to change the way insurance works, to make it work your way, protecting what matters to you and making life a whole lot easier.

Why Miway?We know what it's like to be in an early morning accident on the way to work, to watch helplessly as water floods your business premises, or have your most precious possessions stolen, to lose a truckload of costly stock, or be stranded a long way from home.

So, we created products that put you first, that help you get back on your feet, that make a difference when you're down and dealing with a loss. That's insurance the way it should be. Insurance your way.

That's Miway.You may want to be part of that. Insurance the way it should be. Built around you.It's about you - not about us.

Why Join Us?
This is a rare opportunity to lead at the frontier of actuarial innovation - where data science, machine learning, and software engineering create real-world impact. As Data Science Manager: Telemetry Solutions, you'll help shape the future of insurance.

  • Lead actuarial and data science initiatives across telematics, claims, and operational intelligence.
  • Work with rich, real-time datasets from connected vehicles and IoT platforms to unlock insights and build predictive systems.
  • Collaborate with cross-functional teams - including product, development, and claims - to integrate analytics into key decision-making processes.
  • Apply and grow your technical skills across AI, machine learning, and production-grade systems in a dynamic environment.
  • Join a forward-looking team that values innovation, ownership, and continuous learning.

If you're technically strong, strategically curious, and passionate about using data science to tackle bold, modern challenges - this is your opportunity to lead the change.

What will you do?
The Data Science Manager: Telemetry Solutions is a future-focused leadership role that bridges actuarial science, data science, machine learning, and engineering. You will lead a multidisciplinary team that leverages telematics and alternative data to deliver intelligent solutions across usage-based insurance (UBI), claims innovation, product development, and dynamic risk assessment.

This role offers a unique opportunity to operate at the intersection of data, strategy, and technology - driving meaningful transformation in how insurance products are developed, risks are understood, and operations are optimised.

Key Responsibilities

  • Architect and deploy scalable, real-time systems for ingesting, processing, and analysing high-frequency vehicle sensor and telemetry data.
  • Develop and maintain robust APIs and automation tools in Python and C# to support internal platforms and customer-facing applications.
  • Oversee the creation and deployment of AI models - including computer vision and large language models (LLMs) - to enhance claims automation and document intelligence.
  • Champion innovation within the actuarial domain by blending traditional methodologies with modern MLOps, software engineering, and streaming analytics.
  • Manage end-to-end machine learning pipelines using tools like MLflow, ensuring reproducibility, governance, and performance monitoring.
  • Collaborate closely with Product, IT, Data Engineering, and Claims teams to embed intelligent analytics into core business processes and customer experiences.
  • Mentor and grow a high-performing team of data scientists, and software engineers.
  • Provide technical insight and data-driven narratives to support strategic decision-making through dashboards, models, and actuarial reporting.

Qualifications

  • Degree in Actuarial Science, Data Science, Statistics, Computer Science, or a related field (Honours or Master's preferred).

Experience

  • Minimum of 5 years' experience in data science, or data engineering roles, preferably in a telematics-driven insurance environment.
  • Proficient in Python and C#, with a solid foundation in object-oriented programming and API development.
  • Advanced SQL skills, including data processing, database management, and query optimisation (Essential).
  • Practical experience using Git for version control and collaboration(Essential).
  • Hands-on experience with machine learning libraries and frameworks such as XGBoost, spaCy, Hugging Face, TensorFlow, or PyTorch.
  • Proven ability to deploy and monitor models using MLflow and related MLOps tools.
  • Experience with large-scale datasets, ideally from IoT or telematics sources.
  • Working knowledge of Docker for containerisation (Intermediate to Advanced – Advantageous).
  • Exposure to messaging systems such as RabbitMQ (Advantageous).
  • Strong understanding of software engineering principles, including object-oriented design and clean code practices.
  • Solid business acumen with the ability to translate technical work into strategic outcomes.
  • Excellent communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.
  • Demonstrated leadership experience and a passion for mentoring cross- functional teams.
  • Strong analytical and problem-solving skills, with the ability to extract insights from high-volume, high-dimensional data

Knowledge And Skills
Actuarial Problem Solving

Issues management

Business knowledge

Business analysis

Personal Attributes
Self-development - Contributing independently

Interpersonal savvy - Contributing independently

Nimble learning - Contributing independently

Tech savvy - Contributing independently

Core Competencies
Cultivates innovation - Contributing independently

Customer focus - Contributing independently

Drives results - Contributing independently

Collaborates - Contributing independently

Being resilient - Contributing independently

Build a successful career with us
We're all about building strong, lasting relationships with our employees. We know that you have hopes for your future – your career, your personal development and of achieving great things. We pride ourselves in helping our employees to realise their worth. Through its five business clusters – Sanlam Fintech, Sanlam Life and Savings, Sanlam Investment Group, Sanlam Allianz, Santam, as well as MiWay and the Group Office – the group provides many opportunities for growth and development.

Turnaround time
The shortlisting process will only start once the application due date has been reached. The time taken to complete this process will depend on how far you progress and the availability of managers.

Deadline to apply: 19 September 2025.
Our commitment to transformation
At MiWay we believe in cultivating a positive and dynamic working environment that gives you freedom and opportunity to succeed. MiWay is committed to transformation and embracing diversity. This is what drives us to achieve a multicultural workplace with employment equity as a key goal to create an inclusive workforce, reflective of the demographics of our society.

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Manager: AI/ML and Data Science

Johannesburg, Gauteng wePlace

Posted 11 days ago

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Role Purpose:
The Manager: AI and Data Science is responsible for leading the bank's AI and Data Science initiatives, driving innovation, and enabling advanced analytics capabilities. This role will oversee data scientists, set the AI strategy, and ensure alignment with business goals.

Key Responsibilities:
  • Define and implement the AI strategy aligned with the bank's objectives.
  • Manage and mentor a team of data scientists, ensuring high-quality AI/ML model development.
  • Oversee the development and deployment of AI/ML solutions for business problems.
  • Collaborate with stakeholders to identify opportunities for AI-driven innovation.
  • Monitor AI/ML model performance and ensure alignment with ethical and compliance standards.
  • Promote data-driven decision-making across the organization.
Requirements:
  • Bachelors or Masters degree in Data Science, Machine Learning, Computer Science, or related field.
  • 5+ years of experience in AI/ML model development and deployment.
  • Strong leadership and team management skills.
  • Proficiency in Python, R, and relevant ML frameworks.
  • Experience with cloud-based AI solutions (AWS, Azure, or GCP).
Should you not receive a response from us within one week of your application, your application has unfortunately not been successful.

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In online university data science tutor

Edenvale, Gauteng R150000 - R250000 Y Rebuild Tutoring

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**Role Des


cription


This is a full-time on-site role for an Online University Data Science Tutor at Rebuild Tutoring located in Edenvale. The Data Science Tutor will be responsible for providing online tutoring sessions to university students in data science. They will develop and deliver customized lesson plans, provide guidance on assignments and projects, and assess student progress. The role will involve facilitating interactive and engaging learning experiences.

Qualifications

  • Communication and Training skills
  • Analytical Skills and Research abilities
  • Strong Writing skills
  • Experience in data science or related field
  • Ability to adapt teaching methods to suit individual student needs
  • Bachelor's or Master's degree in Data Science, Computer Science, or a related field**
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Senior Clinical Data Science Lead (Sponsor Dedicated)

Johannesburg, Gauteng ICON

Posted 2 days ago

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Overview

Senior Clinical Data Science Lead (Sponsor Dedicated)

ICON plc is a world-leading healthcare intelligence and clinical research organization. We’re proud to foster an inclusive environment driving innovation and excellence, and we welcome you to join us on our mission to shape the future of clinical development.

Senior Clinical Data Science Lead (Advanced Clinical Data Manager) – Sponsor Dedicated – South Africa

Clinical Data Management Expertise. The CDM will perform scientific (complex) clinical data review in close collaboration with the Study Responsible Physicians (SRP) and Study Responsible Scientists (SRS).

What you will be doing:

  • Tapping into your technical and clinical expertise, performing scientific data review with focus on complex indication and therapy related elements of the study
  • Involved in study related activities from the protocol design stage onwards, providing input into the study specific and/or indication specific data collection tools.
  • Close partnership with study physician(s) and study scientist(s) in order to establish, align and confirm scientific clinical data review expectations for assigned trial(s).
  • Reviews content and integration requirements for eCRF and other data collection tools
  • Reviews (complex) scientific study data, manages queries and holds discussions with relevant stakeholders. Involvement in other review activities (e.g., Coding, SAE reconciliation) is possible.
  • Leads and attends meetings as appropriate.
  • Establishes conventions and quality expectations for clinical data.
  • Works in collaboration with the study physicians, study scientists, global data managers, statisticians and other stakeholders
  • Identifies and communicates lessons learned and best practices.

Qualifications

  • Bachelor’s degree or higher, preferably in a health/scientific discipline
  • 5+ years of Clinical Data Management experience
  • Robust experience with EDC (e.g., Medidata Rave) and use of Data Review tools such as J-Review
  • Deep understanding of drug development
  • Strong technical skills, including experience working with using Microsoft Excel functionality
  • Excellent written and oral communication skills

What ICON can offer you

  • Various annual leave entitlements
  • A range of health insurance offerings to suit you and your family’s needs
  • Competitive retirement planning offerings to maximise savings and plan with confidence for the years ahead
  • Global Employee Assistance Programme, LifeWorks, offering 24-hour access to a global network of professionals who are there to support you and your family’s well-being
  • Life assurance
  • Flexible country-specific optional benefits, including childcare vouchers, bike purchase schemes, discounted gym memberships, subsidised travel passes, health assessments, among others

Visit our careers site to read more about the benefits ICON offers.

At ICON, inclusion & belonging are fundamental to our culture and values. We are dedicated to providing an inclusive and accessible environment for all candidates and are committed to a workplace free of discrimination and harassment. All qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. If you need a reasonable accommodation for any part of the application process, or to perform the essential functions of a position, please let us know.

Interested in the role, but unsure if you meet all of the requirements? We would encourage you to apply regardless – there’s every chance you’re exactly what we’re looking for here at ICON whether it is for this or other roles.

Are you a current ICON Employee? Please click to apply.

#J-18808-Ljbffr
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Senior clinical data science lead (sponsor dedicated)

Johannesburg, Gauteng ICON

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permanent
Overview Senior Clinical Data Science Lead (Sponsor Dedicated) ICON plc is a world-leading healthcare intelligence and clinical research organization. We’re proud to foster an inclusive environment driving innovation and excellence, and we welcome you to join us on our mission to shape the future of clinical development. Senior Clinical Data Science Lead (Advanced Clinical Data Manager) – Sponsor Dedicated – South Africa Clinical Data Management Expertise. The CDM will perform scientific (complex) clinical data review in close collaboration with the Study Responsible Physicians (SRP) and Study Responsible Scientists (SRS). What you will be doing: Tapping into your technical and clinical expertise, performing scientific data review with focus on complex indication and therapy related elements of the study Involved in study related activities from the protocol design stage onwards, providing input into the study specific and/or indication specific data collection tools. Close partnership with study physician(s) and study scientist(s) in order to establish, align and confirm scientific clinical data review expectations for assigned trial(s). Reviews content and integration requirements for e CRF and other data collection tools Reviews (complex) scientific study data, manages queries and holds discussions with relevant stakeholders. Involvement in other review activities (e.g., Coding, SAE reconciliation) is possible. Leads and attends meetings as appropriate. Establishes conventions and quality expectations for clinical data. Works in collaboration with the study physicians, study scientists, global data managers, statisticians and other stakeholders Identifies and communicates lessons learned and best practices. Qualifications Bachelor’s degree or higher, preferably in a health/scientific discipline 5+ years of Clinical Data Management experience Robust experience with EDC (e.g., Medidata Rave) and use of Data Review tools such as J-Review Deep understanding of drug development Strong technical skills, including experience working with using Microsoft Excel functionality Excellent written and oral communication skills What ICON can offer you Various annual leave entitlements A range of health insurance offerings to suit you and your family’s needs Competitive retirement planning offerings to maximise savings and plan with confidence for the years ahead Global Employee Assistance Programme, Life Works, offering 24-hour access to a global network of professionals who are there to support you and your family’s well-being Life assurance Flexible country-specific optional benefits, including childcare vouchers, bike purchase schemes, discounted gym memberships, subsidised travel passes, health assessments, among others Visit our careers site to read more about the benefits ICON offers. At ICON, inclusion & belonging are fundamental to our culture and values. We are dedicated to providing an inclusive and accessible environment for all candidates and are committed to a workplace free of discrimination and harassment. All qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. If you need a reasonable accommodation for any part of the application process, or to perform the essential functions of a position, please let us know. Interested in the role, but unsure if you meet all of the requirements? We would encourage you to apply regardless – there’s every chance you’re exactly what we’re looking for here at ICON whether it is for this or other roles. Are you a current ICON Employee? Please click to apply. #J-18808-Ljbffr
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