Company Description

Sia is a next-generation, global management consulting group. Founded in 1999, we were born digital. Today our strategy and management capabilities are augmented by data science, enhanced by creativity and driven by responsibility. We’re optimists for change and we help clients initiate, navigate and benefit from transformation. We believe optimism is a force multiplier, helping clients to mitigate downside and maximize opportunity. With expertise across a broad range of sectors and services, our 3,000 consultants serve clients worldwide from 48 locations in 19 countries. Our expertise delivers results. Our optimism transforms outcomes.

Job Description

To support our growth, we are recruiting Senior Consultants specializing in advanced analytics and Generative AI solutions. You will lead client engagements from strategy through execution, manage stakeholders, and guide project teams toward impactful delivery.  

Responsibilities  

  • Develop and oversee advanced predictive and explanatory models (Machine Learning, econometrics, optimization, and time-series forecasting). 

  • Lead innovative projects leveraging Generative AI and large language models (LLMs). 

  • Manage client engagements as a trusted advisor, providing strategic recommendations to middle and senior management. 

  • Guide multidisciplinary project teams, mentoring team members and ensuring impactful project delivery. 

Within Sia, you will: 

  • Contribute to enhancing Sia’s Data Science and Generative AI offerings through internal training sessions, working groups, and publications. 

  •  Represent Sia at professional events, actively contributing to thought leadership (articles, white papers, webinars). 

  •  Support business development by crafting proposals, identifying collaboration opportunities, and nurturing long-term client relationships. 

Your profile 

  • Strategic thinker with strong analytical skills and a proactive approach. 

  • Experienced in clearly communicating complex ideas to varied audiences. 

  • Effective at managing multiple stakeholders and guiding project teams. 

  • Demonstrated ability to mentor and develop colleagues. 

  • Interested in applying innovative analytics and AI solutions to drive sustainability and create meaningful business impact. 

Qualifications

  • Completed WO Master's degree in Data Science, Econometrics, Applied Mathematics, Computer Science, (Energy) Engineering, or a related technical field involving substantial programming. 

  • 3-6 years of relevant professional experience (or equivalent academic research). 

  • Strong analytical mindset with the ability to explore options systematically and synthesize actionable insights. 

  • A fast learner who demonstrates strong communication skills, adaptability, and entrepreneurial drive. 

  • Fluency in English, with excellent communication and presentation abilities. Dutch or French fluency is a plus. 

  • Proven interest in Data Science, Generative AI, and relevant sectors such as Energy and Finance. 

What do we offer? 

  • Competitive salary package, including annual salary increase, bonuses, and flexible mobility options (company car or personalized mobility plan). 

  • Tailored training and development opportunities to position you as an expert in your field. 

  • Flexible working arrangements (office, home, client sites) and international project exposure. 

  • Collaborative global environment for professional development and knowledge sharing. 

Additional Information

Unfortunately, we are unable to provide a work permit for this position. 

Sia is an equal opportunity employer. Employment decisions—including hiring, promotion, remuneration, or disciplinary actions—are based solely on performance, competence, conduct, and business needs. 

Sia is an equal opportunity employer. All aspects of employment, including hiring, promotion, remuneration, or discipline, are based solely on performance, competence, conduct, or business needs. 

Location

Amsterdam, NH, Netherlands

Job Overview
Job Posted:
4 days ago
Job Expires:
Job Type
Full Time

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