Data Science & Machine Learning Engineering Manager

Accenture B.V.
20 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Tech stack

Artificial Intelligence
Amazon Web Services (AWS)
Business Analytics Applications
Artificial Neural Networks
Azure
Cloud Computing
R
Python
Machine Learning
SQL Databases
PyTorch
Random Forest
Information Technology
Programming Languages

Job description

Are you a Data Science leader who combines deep technical expertise with strategic vision? Do you thrive on guiding teams to deliver impactful, data-driven solutions that tackle complex business challenges? Can you oversee end-to-end data science and ML projects that deliver measurable impact for our clients? If you want to help organizations position data science as a core business driver and mentor the next generation of data experts, we'd love to meet you.

The work

As a Data Science & Machine Learning Engineering Manager, you will be part of our Data & AI team within the Strategy & Consulting practice. 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.
  • Serve as a 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.
  • You will help building and growing the team, actively developing data & AI skills that shape the teams' strategic direction.

Processes

  • Lead Data Science 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

  • Collaborate with our practice leadership on setting the vision and direction of the Data Science team.
  • Utilize your expertise in Data Science, Machine Learning and (Gen)AI to create meaningful business impact.

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.

Requirements

  • 6+ years of professional experience in consulting capacity, or project management type roles in Data Science & ML areas
  • Master's degree (WO) in a quantitative field (Data Science, Mathematics, Computer Science, Econometrics, Business Analytics or any other relevant studies) with specific emphasis on data
  • Fluent in English (both spoken and written)
  • Experience with relevant programming languages (SQL, Python, R, etc.), Machine Learning techniques (Neural Networks, Random Forest, etc.), Cloud computing (AWS, Azure or GCP) and ML & Agentic AI frameworks (Langchain, LangGraph, PyTorch, Tenserflow, etc.).
  • Thorough and in-depth understanding of the technical fundamentals behind (Generative) AI technologies
  • Professional experience leading and managing multi-disciplinary teams, setting up a practice and building skills.
  • You have a clear vision on Data & AI, what direction the capability will move towards and are able to share this vision with both your colleagues and our clients

Benefits & conditions

These promises are reflected through our excellent employee benefits, including:

  • Unlimited learning: access to thousands of free courses, classes and workshops.
  • Flexible working hours (4x9) & work location.
  • Paid transport (budget for electric bicycle or car, NS-Business card).
  • Parental leave, Paternity leave for all non-birthing parents.
  • Pension scheme, discount on Accenture shares, annual bonus, collective health insurance scheme.

About the company

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, Accenture is a global company with a world-class brand and reputation. Our people are Change Makers, and to support them as an employer, we make five promises: * Work with flexibility, in a culture based on trust * Embrace a sustainable growth mindset * Live a human-led culture of Inclusion & Diversity by caring deeply for all our people. * Lead and transform our clients with technology * Connect with our global network of 700.000 colleagues., Accenture is an equal opportunity employer. Our leaders are committed to building a better, stronger and more equitable company for future generations to create positive, long-lasting change. Inclusion and diversity are fundamental to our culture and core values. We celebrate diversity and are committed to creating an inclusive environment for all employees. Our rich diversity makes us more innovative and creative, which helps us better serve our clients and our communities. Our position as partner to many of the world's leading businesses, organizations and governments affords us both an extraordinary opportunity and a tremendous responsibility to make a difference. Sustainability is one of our greatest responsibilities, which we embed it into everything we do and for everyone we work with. Accenture is committed to providing equal employment opportunities for all., Accenture is committed to providing veteran employment opportunities to our service men and women. Please read Accenture's Recruiting and Hiring Statement for more information on how we process your data during the Recruiting and Hiring process. About Accenture We work with one shared purpose: to deliver on the promise of technology and human ingenuity. Every day, more than 775,000 of us help our stakeholders continuously reinvent. Together, we drive positive change and deliver value to our clients, partners, shareholders, communities, and each other. We believe that delivering value requires innovation, and innovation thrives in an inclusive and diverse environment. We actively foster a workplace free from bias, where everyone feels a sense of belonging and is respected and empowered to do their best work. At Accenture, we see well-being holistically, supporting our people's physical, mental, and financial health. We also provide opportunities to keep skills relevant through certifications, learning, and diverse work experiences. We're proud to be consistently recognized as one of the World's Best Workplaces .

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