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Selected role

Data Science and Machine Learning Engineering Analyst

Accenture Amsterdam, NH, NL

Senior Full-time

Are you passionate about transforming raw data into actionable insights and contributing to innovative solutions? Will you take on the challenge to help our clients become data-driven? Do you want to change the way organizations manage their data and do business? Are you interested in how data flows through an organization and how it is governed to generate knowledge and value? Do you enjoy working at the forefront of the latest Advanced AI developments and applying them directly to create tangible client value? If so, we invite you to explore the role of a Data Science Analyst at Accenture.

The work

As a Data Science Analyst, you will be joining our Data & AI team. You will work directly with various clients, located in both The Netherlands and abroad, on new problem-solving solutions and methodologies, data modelling, analyses & interpretation. You apply the latest algorithms and techniques such as Machine Learning, Deep Learning, Generative and Agentic AI to create value for action. Examples include building recommender systems that increase customer loyalty, predicting risk at an individual level to better comply with rules and regulations, developing GenAI-powered applications or intelligent agents that support decision-making or automate processes, and creating NLP solutions (including sentiment analysis) to increase efficiency.

You have strong technical skills and are also able to facilitate workshops/interviews to bridge the gap between data analytics and business outcomes. You collaborate with cross-functional teams to address real-world business problems. You provide advice to clients by translating analytical solutions into recommendations. You help to achieve strategic goals and impact business results.

People Engage collaboratively with clients to comprehend their data-oriented challenges, deliver insights, and suggest data-driven solutions aligned with their organizational goals. Establish enduring relationships with vital stakeholders to foster long-term partnerships and facilitate seamless collaboration. Develop Proof-of-Concepts aimed at illustrating potential data science solutions to clients, showcasing the inherent value of employing data-driven methodologies.
Processes Analyze extensive and intricate datasets, performing data cleansing, preprocessing, and data transformation into formats suitable for diverse data science applications. Apply a diverse array of data science techniques, encompassing statistical modeling and machine learning algorithms, to extract insights and provide resolutions to business inquiries.
Technology and Data Collaborate closely with cloud platforms (Microsoft Azure / AWS / GCP, etc.) to deploy and manage production-ready models, ensuring both scalability and operational efficiency.

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

In 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.

Strategy & Consulting is one of five services that make up one Accenture – the others are Operations, Technology, Song and Industry X.

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.

#LI-EU

Here’s what you’ll need

0 to 3 years of professional experience in data analysis using statistical modeling and machine learning techniques to solve business questions.
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
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.).
Basic experience with data visualization tools such as Power BI, Tableau, Qlik, matplotlib, seaborn etc.
English (Dutch proficiency is a plus)
Excellent problem-solving skills and the ability to tackle complex challenges.
Effective communication skills to convey insights to technical and non-technical stakeholders.

Bonus points if you have

Hands-on experience with building Generative or Agentic AI applications, for example using frameworks or tooling such as LangGraph, Google ADK, or similar orchestration frameworks.
Participated in extracurricular activities such as student consulting clubs, board roles, internships that showcase your leadership skills.
Proven affinity with data and a strong analytical mindset.
Demonstrated stakeholder management activities and familiarity with using AI, data science, and machine learning to achieve business goals.

While we’ve listed a variety of skills and qualifications we believe will help contribute to our team’s success, please note that you do not need to have all the listed requirements to apply. We value diversity in experiences and perspectives, and we encourage candidates who meet many, but not necessarily all, of the criteria to submit their application with confidence.

What’s in it for you?

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.

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.

What we believe

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.

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