Please note that this vacancy is part of a Talent Pool. This means that while we are proactively identifying potential candidates for future opportunities within our team, there is no immediate opening. As a result, candidates in the talent pool may not be contacted for an interview in the short term.
KPMG Belgium is currently looking for a Junior Data & AI Advisor (Zaventem or Antwerp) to join our KPMG Lighthouse team – center of excellence around Data, AI and Emerging Technologies.
As a Junior Data & AI Advisor in the Lighthouse team, you will support our core services, which include:
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AI Strategy & Transformation: Creating a vision and strategy, developing and implementing a transformation roadmap around data and AI.
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Data Management and Digital Governance: Building trust in data by establishing governance, processes, and technologies for data management.
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Business Intelligence and Analytics[AV1] [LB2] : Enabling businesses and people by delivering actionable data and insights to support decision-making.
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Intelligent Automation and New Tech: Developing applications, automated workflows and operating models for sustainable human and AI co-existence by leveraging new technologies and driving innovation.
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Digital Solution Architecture Development: Providing technical support to drive digital transformation and next-generation architectures.
Depending on interest and opportunities, you will typically provide support across various focus areas and responsibilities.
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Your role will be highly varied and involves working in a supportive, young and dynamic team;
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You will contribute to the growth of KPMG Lighthouse and participate in the development and implementation of our data-and AI-driven capabilities, mostly through impactful projects at clients and monitoring of evolutions in our domain;
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You will be in regular contact with clients in various industries;
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You will participate in interviews, brainstorms and workshops with business & technology teams on data and AI related topics;
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You will help to translate business ambitions to data-and AI-driven initiatives and participate in their delivery;
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You will leverage data-and AI-driven approaches to resolve business and automation issues, combining technical solutions (coding and scripting) with organizational design, role clarity, and governance;
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You will work cross-functionally with business operations and business analysts to help them perform their duties more effectively and genuinely revolutionizing AI;
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You will work with data-and AI-driven technologies across the value chain, leveraging our partnerships with Collibra, Microsoft, and Appian.
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You will soon hold a Master’s degree in technological fields (e.g. computer science, informatics, industrial engineering, civil engineering, business analytics, data science, …) and have:
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Knowledge about data management, data & analytics, machine learning / AI and automation (have notion of cloud computing, agile; development, containerization …)
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Knowledge of common programming languages: Python, R, SAS, SQL, Java …
While academic qualifications are important, there are several other main competences we highly value, including:
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A broad interest in how data & AI can help transform and improve business processes;
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Strong affinity to apply data, analytics and AI to solve business challenges;
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Strong analytical skills and make-it-happen mentality;
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Enthusiasm about working in a project-based environment;
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Eagerness to learn and make an impact;
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Strong client orientation and being a real team player;
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Strong communication skills in English and in Dutch or French;
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A natural pro-activeness, ambition and high motivation.
At KPMG, we commit ourselves to encouraging true team spirit and creating an international and dynamic working environment in which each can pursue the knowledge needed to boost their career. Additionally, we highly invest in our people’s development of soft skills and technical knowhow.
We also offer:
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An inclusive workspace that encourages diversity and pursues mutual respect and tolerance for each other’s beliefs and background;
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A competitive and attractive compensation package and a great number of extra-legal advantages;
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A flexible, hybrid working schedule where employees can work on different locations: at home, at the office, on the go or at a client’s site;
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A wide range of teambuilding activities and social events (e.g. afterwork drinks, network evenings, annual national receptions, etc.) that enable new joiners to meet colleagues within the wider KPMG community and have some fun along the way;
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A comprehensive well-being program that includes hospitalization insurance and several initiatives that focus on mental health.