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As a Data Science Senior Advisor, you will be responsible for contributing to business strategy and influence decision making based on information gained from deep dive analysis. You will produce actionable and compelling recommendations by interpreting insights from complex data sets. You will design processes to consolidate and examine unstructured data to generate actionable insights. You will also partner with business leaders, engineers and industry experts to construct predictive models, algorithms and probability engines.
•Collaborate with internal and external teams to understand customer requirements
•Develop and apply a broad range of techniques and theories from statistics, machine learning, and business intelligence to deliver actionable business insights
•Develop and drive testing of algorithms efficacy for differing analytical use-cases
•Performs end-to-end steps involved in model development while establishing subject-matter expertise
•Work with the academic and business community to develop new techniques and to contribute to research in the area of large databases• 8 to 12 years of related experience
• Solid machine learning and statistical skills
• Solid Programming skills in Python (or any other language)
• Good understanding of business environment and industry trends
• Good communication and problem-solving skills and being customer focused
• Domian knowledge and understanding of Pricing industry
• Knowledge of industry LLMs, Agentic AI would be a plus
• Skilled at data storytelling—turning analytical findings into business insights and presenting them effectively to diverse audiences
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•Contribute to the design and architecture of new or re-engineered software/storage environments
•Prepare written software/storage specifications for sophisticated products from architectural diagrams and documents
•Build and review design, functional, technical and/or user documentation, as needed
•Develop, review and implement test strategies for software products and systems•Validated knowledge of programming languages; operating systems; firmware; BIOS; device drivers; databases; system, network, operating system, and application administration; embedded software/firmware; tools and utilities
•Ability to code/debug more sophisticated programs using either written or verbal design specifications
•Capacity to achieve proficiency of new tools, languages and operating systems with training and on-the-job experience
•5–8 years of related experience
•Bachelor’s degree
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Showcasing excellence and innovation at every stage, Product Management is responsible for the cross-functional management of products or solutions through their entire lifecycle. Using a wealth of technical and industry experience, we work across functional areas to implement our products or solutions. We undertake thorough analysis of the markets to ensure we maximize profitability and adjust our product strategies to respond to competition. Our role also involves acting as subject matter experts for internal and external product events or partner meetings.
Join us as aninto do the best work of your career and make a profound social impact.
What you’ll achieve
As a Product Management Intern, you will identify new growth areas, technologies, and emerging product/service opportunities. You will conduct in-depth market analysis to optimize existing products/solutions and build next generation products, partnering closely with the Engineering and Product Management teams to build a product roadmap and align product strategies for the business.
During the summer you will:
Essential Requirements
Desirable Requirements
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You will:
Lead the design and optimization of logging and monitoring solutions to enhance threat detection and cybersecurity visibility.
Utilize technologies like Splunk, Elastic, Cribl, and NDR platforms to build a scalable observability ecosystem.
Deliver actionable insights that accelerate incident response and improve organizational resilience.
Influence strategic cybersecurity direction and drive innovation across Dell’s global infrastructure.
Make a measurable impact by aligning technical solutions with business objectives.
15+ years of experience in cybersecurity engineering with a focus on logging, monitoring, and infrastructure.
Strong hands-on experience with Elastic Stack (Elasticsearch, Logstash, Kibana), Cribl, and Splunk Enterprise/Splunk Cloud.
Proficiency in Kubernetes, Docker, and CI/CD pipeline integration, supporting scalable and automated deployments.
Scripting skills in Python, Bash, or PowerShell for automation and tool integration.
Desirable Requirements
Expert knowledge in logging technologies, SPLUNK, Elastic Search, Microsoft Sentinel, Palo Alto Strata
Expert knowledge in pipeline technologies, CRIBL, Vector
Bachelor’s or Master’s degree in Cybersecurity, Computer Science, or related field, or equivalent experience.
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Senior Services Solutions Principal – Brussels/Belgium based
In this role, you’ll guide customers through their most complex business and IT challenges, designing and positioning transformational services acrossData & AI, Applications & Multicloud, and Resiliency & Security.
We don’t expect you to be an expert in all three areas—what matters most is strong experience in, a solid consultative and commercial mindset, and the appetite to grow across the others.
What You’ll Do
Engage with senior customer stakeholders, up to CxO level, to shape transformation strategies and outcomes.
Lead customer workshops, presentations, and solution designs that connect business value with technology.
Collaborate closely with Core Sales, Services Sales, Delivery, and Partners to build high-impact, outcome-based service solutions.
Contribute to RFP/SOW responses and transition solutions into delivery with precision.
What We’re Looking For
Native Flemish/Dutch speaker , with fluent English.
Proven experience in Services Presales, Solution Architecture, or IT transformation (ideally 10+ years, but strong profiles with less and customer-side backgrounds are welcome).
Depth in one key services area (Data & AI, Multicloud, or Resiliency & Security) and curiosity to grow into the others.
Strong communication, commercial acumen, and customer engagement skills, especially at the executive level.
Ability to design and negotiate service solutions, aligning to business and financial outcomes.
Why Dell Technologies?
Work on large-scale enterprise and government transformation projects.
Be part of a collaborative team driving innovation in AI, Cloud, and Security.
Shape your career with opportunities to grow across multiple services domains.
Make a real impact for customers while developing as a trusted advisor.
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As a technical Staff member of our AI Solution Engineering team, you will be responsible for investigation, evaluation, validation and producing solutions and publication ready reference architectures for GenAI Solutions based on Dell server, storage and networking products, GPUs/DPUs/SmartNICs and applications from alliance partners. You will collaborate with AI, Server, Storage, Network architects, engineers, developers, product managers, and sales staff to ensure that our AI solutions are best-in-class for customer needs while being cost-effective.
As a senior member of our AI Solution Engineering team, you will be responsible for early investigation, evaluation, validation and producing solutions and publication ready reference architectures for GenAI Solutions based on Dell server, storage and networking products, GPUs/DPUs/SmartNICs and applications from alliance partners. You will collaborate with AI, Server, Storage, Network architects, engineers, developers, product managers, and sales staff to ensure that our AI solutions are best-in-class for customer needs while being cost-effective.
You will:
Essential Requirements
Desirable Requirements
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What you’ll achieve
You will be responsible for the design and development of BIOS using a range of applicable technologies (e.g., programming languages, compilers, assemblers, debuggers, ITP's, Scopes, Logic Analyzers and other tools) and state-of-the-art software engineering methodologies.
You will:
Design, development, debugging, and testing of BIOS software for complex systems.
Work closely with ODM partners and a team of software engineers to deliver a high quality BIOS for use in Dell's server product line.
Participate in product development in all stages from planning and design to development and testing. Good candidates should be proactive in managing work including meeting schedules, identifying risks, and delivering high quality software.
Bachelor of electronic engineering or computer engineering or computer science or equivalent degreewith 5+ years of current software development experience, including: 2+ years programming experience in C/C++ and/or assembly languages and/or UEFI development
Hands-on experience in all aspects of full life cycle software development (creating specifications, requirements reviews, creating design requirements and driving design reviews, code development, debugging, validation)
Working with external, cross functional, and internal teams (including systems and test engineers and product support) to drive creation of new feature requirement specifications
Application closing date:30 Sep, 2025
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As a Data Science Senior Advisor, you will be responsible for contributing to business strategy and influence decision making based on information gained from deep dive analysis. You will produce actionable and compelling recommendations by interpreting insights from complex data sets. You will design processes to consolidate and examine unstructured data to generate actionable insights. You will also partner with business leaders, engineers and industry experts to construct predictive models, algorithms and probability engines.
•Collaborate with internal and external teams to understand customer requirements
•Develop and apply a broad range of techniques and theories from statistics, machine learning, and business intelligence to deliver actionable business insights
•Develop and drive testing of algorithms efficacy for differing analytical use-cases
•Performs end-to-end steps involved in model development while establishing subject-matter expertise
•Work with the academic and business community to develop new techniques and to contribute to research in the area of large databases• 8 to 12 years of related experience
• Solid machine learning and statistical skills
• Solid Programming skills in Python (or any other language)
• Good understanding of business environment and industry trends
• Good communication and problem-solving skills and being customer focused
• Domian knowledge and understanding of Pricing industry
• Knowledge of industry LLMs, Agentic AI would be a plus
• Skilled at data storytelling—turning analytical findings into business insights and presenting them effectively to diverse audiences
These jobs might be a good fit