Status
Actief
Contract
Full-time
Locatie
Amsterdam
Salaris
85.000
Expertise
Do you have strong technical expertise and a strategic mindset with a focus on AI? Do you enjoy client conversations to deliver impactful data science, machine learning, and Advanced AI solutions? From guiding end-to-end projects to shaping data-driven strategies and exploring emerging topics such as Agentic AI, you know how to turn innovation into business value. If you are excited to guide and lead delivery and sales teams and help organizations position AI as a core business driver, we want to hear from you!
The work
As a Data Science & Machine Learning Engineering (Senior) Manager, you will be part of our Data & AI team within the Strategy & Consulting practice. You will act as both a leader and an AI evangelist, leading project teams and educating clients on the latest trends in AI, machine learning, and data science. You will be working with diverse clients across multiple industries, guiding organizations in their Data & AI journey, delivering analytics solutions and helping clients turn data into actionable insights to drive innovation.
People
- Manage project teams of experts, including data scientists, Machine Learning Engineers and other AI professionals on (Gen)AI best practices, analytics, and innovation assignments.
- Be the mentor for junior and senior team members, providing career guidance and fostering professional growth.
- Partner with key stakeholders to demonstrate the value of Data Science, ensuring solutions are aligned with their business objectives.
- Help building and growing the team, actively developing data & AI skills that shape the teams’ strategic direction.
- Collaborate with our practice leadership on setting the vision and direction of the Data Science team.
Processes
- Lead AI opportunities and projects, from concept to implementation, ensuring high-quality outcomes and alignment with client needs.
- Build and maintain client relationship, acting as a trusted advisor to drive adoption and success with AI initiatives.
- Drive business development from a Data & AI perspective and connect with Industry and Function experts within Accenture.
Technology and Data
- Use your expertise in Data Science, Machine Learning and (Gen)AI to create meaningful business impact.
- Stay ahead of industry trends, continuously integrating cutting-edge technologies and methodologies into data science workflows, and bringing clients into these conversations.
With all our roles, there is in-person time for collaboration, learning and building relationships with clients, peers, leaders, and communities. As an employer, we will be as flexible as possible to support your specific work/life needs.
Who we are
n today’s world, business leaders want to rapidly and confidently reinvent to increase resilience, mitigate risk, and grow with sustainable value. That’s where Accenture Strategy & Consulting comes in. We bring together strategic visionaries, industry experts, practitioners from across every enterprise function, business intelligence professionals, change specialists, data and AI authorities, and many other specialized skills to co-create each client’s unique path to reinvention. You will be a trusted partner to business leaders, working with a diverse team of experts to deliver successful tech-enabled transformation and new kinds of value for your clients. Join our global network of people using the latest assets, platforms and partnerships to help bring ideas to life.
Accenture Data & AI is driving these exciting changes across 40 industries and in more than 120 countries, covering skills that range from strategy development to data science professionalization. Our advice is based on best practice and situational analysis and enables our clients to act with speed and confidence. Whether we are investigating complex issues or identifying new opportunities, our work always comes down to one thing: unlocking value and creating real, tangible impact.
Strategy & Consulting is one of five services that make up one Accenture – the others are Operations, Technology, Song and Industry X
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