Junior Consultant - Data Science & Machine Learning Engineering Analyst

3900 Accenture B.V. Company; Amsterdam; Hybrid; EUR 60,000 - 85,000; Full time

Benefits offered by this job

4x9 Workweek

Hybrid Working

FlexDay

Annual Bonus

Net Allowance

Employee Share Purchase Plan

Job summary

Accenture NL is hiring a Data Science Analyst to join our AI & Data team. You will work with clients in the Netherlands and abroad on data modelling, analyses and interpretation, applying ML, DL, Generative AI and NLP to create business value.

You will collaborate with cross-functional teams, translate insights into recommendations, and drive data-driven solutions that align with strategic goals. In-person collaboration is encouraged, with flexible work arrangements.

Qualifications

• Master's degree (WO) in a quantitative field with data emphasis.

Responsibilities

• Collaborate with clients to translate analytical solutions into business recommendations.
• Develop and deliver data-driven insights to bridge analytics and business outcomes.
• Explore data cleansing, preprocessing, and transformation for various data science applications.
• Deploy production-ready models on cloud platforms (Azure/AWS/GCP) ensuring scalability and efficiency.

Skills

Machine Learning

Deep Learning

Generative AI

NLP

Data Analysis

Communication

Problem Solving

Education

Master's degree (WO) in a quantitative field

Tools

SQL

Python

R

LangGraph

PyTorch

TensorFlow

Azure

AWS

GCP

Job description

Dream big, innovate smarter.

Vacancy closing date: November 30th, 2026 Job Day: November 13th, 2026

The work As a Data Science Analyst, you will be joining our AI & Data 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 AI 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.

Here’s what you’ll need

• 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.
• 0-3 years of professional experience in data analysis using statistical modeling and machine learning techniques to solve business questions.
• 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.

What’s in it for you

• Work‑Life Flexibility: 4x9 Workweek Option, Hybrid Working, FlexDay
• Financial Well‑being: Competitive Base Salary, MyBenefits Budget, Annual Bonus, Net Allowance, Employee Share Purchase Plan
• Health & Wellness: Collective Health Insurance Scheme, Mental Health Support, Well‑being Hub
• Time Off & Leave: 26 Vacation Days, Special Leave Types (parental leave, partner leave, bereavement leave, and gender affirmation leave)
• Culture Days
• Mobility & Commuting: NS Business Card, Mobility Budget (option to choose between electric bike, car lease, or public transport reimbursement)
• Career Development: Performance Achievement Program, Learning & Development Platform, Guidance from People Leads
• Inclusion, Diversity & Social Impact: Do Good Volunteer Program, I&D Networks, Refugee Talent Track
• Culture & Community: Accentrics & Friday Drinks, Annual Accenture NL Party, Flat Organizational Hierarchy

Your future starts here.

About Accenture

Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent‑and innovation‑led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability.

Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.

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