Data science analyst Vacatures

Over de vacature

Overview

As a Data Science Analyst at Accenture AI & Data, you work with clients across NL and abroad to design data-driven solutions. You apply ML, DL, Generative and Agentic AI to create value and improve decision making. You bridge analytics and business outcomes through workshops, visuals, and clear recommendations. You will collaborate with cross-functional teams and develop PoCs to illustrate potential value, contributing to transformation at scale.

Arbeidsvoorwaarden / Benefits

• 4x9 workweek option
• Hybrid working
• MyBenefits budget
• Annual bonus
• Health insurance
• Mental health support

Verantwoordelijkheden

• Model data, perform analyses, and interpret results to inform business decisions
• Develop recommender systems, predictive models, and NLP solutions to improve processes
• Lead or co-facilitate workshops and interviews to translate analytics into business impact
• Collaborate with cross-functional teams and advise clients through actionable recommendations
• Establish stakeholder relationships and foster long-term partnerships
• Create Proof-of-Concepts to demonstrate potential data science value
• Deploy production-ready models on cloud platforms with a focus on scalability
• Support data cleansing, preprocessing, and transformation for diverse data science applications
• Communicate insights to technical and non-technical stakeholders

Belangrijkste vereisten

• Master's degree in a quantitative field with emphasis on data

• 0-3 years of experience in data analysis using statistical modeling and ML

• Proficiency in SQL, Python, R

• Knowledge of ML techniques (neural networks, random forests)

• Experience with cloud platforms (AWS, Azure, GCP) and ML/Agentic AI frameworks (Langchain, LangGraph, PyTorch, Tenserflow)

• Basic data visualization skills (Power BI, Tableau, Qlik, matplotlib, seaborn)

• English language proficiency (Dutch a plus)

• Strong problem-solving and communication abilities

• Proven stakeholder management and ability to translate analytics into business outcomes

• Hands-on experience building Generative or Agentic AI applications (bonus)

• Collaborative mindset

• Effective communication

• Stakeholder management

• SQL

• Python

• R

Over de vacature

Overview

In this role, you apply advanced analytics to improve client outcomes in energy and materials. You work in a small, cross-functional team to turn data into actionable insights for plant performance, collaborating with engineers and analytics specialists. You help shape products and algorithms, contributing to OptimusAI and the broader McKinsey manufacturing AI initiative. You'll have strong growth potential through structured learning, mentorship, and exposure to executive audiences.

Arbeidsvoorwaarden / Benefits

• competitive salary
• comprehensive benefits package
• world-class training and apprenticeship
• global travel opportunities
• mentorship and career development

Verantwoordelijkheden

• Collaborate in a multi-disciplinary team to drive client performance (energy efficiency, product quality, capacity)
• Present insights to executive-level audiences
• Partner with product engineers to develop new products and algorithms
• Codify best practices and contribute to the product roadmap
• Support the OptimusAI platform and its real-time AI advisory capabilities
• Travel to client sites locally and globally as needed

Belangrijkste vereisten

• Bachelor's or Master's degree in a relevant field

• 3+ years of hands-on advanced analytics experience, preferably in heavy industry

• Advanced Python programming skills

• Experience implementing and maintaining MLOps pipelines for model deployment

• Strong DevOps/backend engineering skills (CI/CD, Docker, Kubernetes, Terraform, Ansible)

• Self-starter with strong organizational skills

• Data-driven decision making

• Ability to produce high-quality written outputs and presentations

• Excellent time management and ability to work autonomously

• Strong English communication skills with audience tailoring

• Self-motivation and initiative

• Clear, concise communication

• Structured problem solving

• Python

• MLOps

• CI/CD

Over de vacature

Are you a data-driven professional who enjoys turning complex information into meaningful insights? Are you passionate about SQL, data analytics, automation, and emerging AI technologies? If you're looking for an opportunity to develop your technical expertise while making a real business impact, this could be the perfect next step in your career!
What Will You Do?As a Data Analyst, you will play an important role in developing and maintaining reliable data solutions that support business decisions, reporting, and innovation.Working alongside international colleagues and experienced data professionals, your responsibilities will include:

• Develop and maintain scalable data models, transformations, and datasets for reporting and analytics.
• Write, optimize, and maintain SQL queries to ensure efficient data processing and accessibility.
• Work with modern cloud data platforms, particularly Snowflake, to improve data structures and performance.
• Support data quality, governance, and architecture initiatives through validation, monitoring, and documentation.
• Contribute to projects involving advanced analytics, artificial intelligence, and machine learning.
• Identify opportunities to automate manual reporting and data-related processes.
• Translate technical findings into clear, actionable insights for business stakeholders.
• Participate in proof-of-concept projects and contribute to the continuous improvement of data solutions.

Requirements

We are looking for an analytical, curious, and proactive professional who enjoys solving problems and exploring new technologies.
Your background and skills:

• A bachelor's or master's degree in Data Science, Computer Science, Business Analytics, Artificial Intelligence, Applied Mathematics, Engineering, Physics, or a related field.
• Recent graduates and professionals with up to 3 years of relevant experience are welcome to apply.
• Strong SQL skills and a good understanding of relational databases.
• Knowledge of data modeling and ETL/ELT processes.
• Experience with cloud-based data platforms, preferably Snowflake.
• Familiarity with Python, dbt, or modern data engineering practices is a strong advantage.
• Experience with business intelligence tools, such as Power BI, is considered a plus.
• Understanding of data architecture, data quality, testing, and governance principles.
• Strong analytical, problem-solving, and communication skills.
• Ability to explain technical concepts clearly to non-technical stakeholders.
• A proactive attitude, attention to detail, and a willingness to continuously learn and develop.

Benefits

• On-site working model
• Flexible working hours

Application Procedure

If you are interested in this vacancy, you can apply by clicking on the button above. By clicking on apply, you agree to our privacy commitment and terms and conditions . Your application will be sent directly to the recruiter in charge. IMPORTANT: if you are not yet registered with Undutchables we kindly ask you to do so. Your information will be handled in the strictest confidence and your CV will not be sent to a company unless you have given prior permission. Curious about how the recruitment process works within Undutchables, click here to read more.

Over de vacature

Are you a data-driven professional who enjoys turning complex information into meaningful insights? Are you passionate about SQL, data analytics, automation, and emerging AI technologies? If you're looking for an opportunity to develop your technical expertise while making a real business impact, this could be the perfect next step in your career!
What Will You Do?As a Data Analyst, you will play an important role in developing and maintaining reliable data solutions that support business decisions, reporting, and innovation.Working alongside international colleagues and experienced data professionals, your responsibilities will include:

• Develop and maintain scalable data models, transformations, and datasets for reporting and analytics.
• Write, optimize, and maintain SQL queries to ensure efficient data processing and accessibility.
• Work with modern cloud data platforms, particularly Snowflake, to improve data structures and performance.
• Support data quality, governance, and architecture initiatives through validation, monitoring, and documentation.
• Contribute to projects involving advanced analytics, artificial intelligence, and machine learning.
• Identify opportunities to automate manual reporting and data-related processes.
• Translate technical findings into clear, actionable insights for business stakeholders.
• Participate in proof-of-concept projects and contribute to the continuous improvement of data solutions.

Requirements We are looking for an analytical, curious, and proactive professional who enjoys solving problems and exploring new technologies.
Your background and skills:

• A bachelor's or master's degree in Data Science, Computer Science, Business Analytics, Artificial Intelligence, Applied Mathematics, Engineering, Physics, or a related field.
• Recent graduates and professionals with up to 3 years of relevant experience are welcome to apply.
• Strong SQL skills and a good understanding of relational databases.
• Knowledge of data modeling and ETL/ELT processes.
• Experience with cloud-based data platforms, preferably Snowflake.
• Familiarity with Python, dbt, or modern data engineering practices is a strong advantage.
• Experience with business intelligence tools, such as Power BI, is considered a plus.
• Understanding of data architecture, data quality, testing, and governance principles.
• Strong analytical, problem-solving, and communication skills.
• Ability to explain technical concepts clearly to non-technical stakeholders.
• A proactive attitude, attention to detail, and a willingness to continuously learn and develop.

Benefits

• On-site working model
• Flexible working hours

Application Procedure If you are interested in this vacancy, you can apply by clicking on the button above. By clicking on apply, you agree to our privacy commitment and terms and conditions . Your application will be sent directly to the recruiter in charge. IMPORTANT: if you are not yet registered with Undutchables we kindly ask you to do so. Your information will be handled in the strictest confidence and your CV will not be sent to a company unless you have given prior permission. Curious about how the recruitment process works within Undutchables, click here to read more.

Over de vacature

Overview

In this Data Lead role, you will own LYNX's data domain end-to-end, guiding the transformation from a fragmented setup to a scalable, platform-driven ecosystem. You'll align Data Platform, Analytics, and Data Science to make data-driven decision-making the default across the company. You'll mature the self-service platform, embed governance, and lay foundations for AI and ML. This hands-on leadership position involves building and coaching the team while collaborating with senior stakeholders to turn data into commercial value.

Arbeidsvoorwaarden / Benefits

• competitive salary
• fixed 13th month
• 8% holiday allowance
• pension scheme fully paid by LYNX
• public transport travel allowance
• home office equipment and allowance

Verantwoordelijkheden

• Own the Data Domain End-to-End: steer strategy, architecture, governance, standards, and roadmap across Data Platform, Analytics, and Data Science
• Design structural solutions to recurring data problems and promote best practices across the organisation
• Mature the Platform & Enable Self-Service: evolve warehouse, catalog, ingestion, semantic/m red layer, and access models to support self-service data
• Raise Data Maturity: improve data capture and usage at the source, promoting data literacy and ownership
• Define the Future of Analytics: articulate AI-driven analytics vision and enable reliable data foundations for AI/ML
• Partner with Leadership on high-impact questions and deliver analyses that influence decisions
• Build & Develop the Team: onboard and coach Data Platform Engineer, Data Analytics Engineer, and Data Scientists
• Lead the Data Science Capability: develop centralised data science with a path to hybrid squad partnership
• Provide Functional Leadership to Analysts: establish standards and priorities with Engineering Managers
• Support Regulatory Reporting: ensure data platform and governance meet regulatory standards
• Set Governance Standards: establish ownership, lineage, quality, and privacy
• Lay the AI/ML Foundations: prepare platform and semantic layer for AI-assisted access and ML use cases

Belangrijkste vereisten

• Experienced data leader with hands-on architecture and transformation experience

• Strong knowledge of modern data platform architecture: warehousing, ingestion, cataloging, dbt-based modelling, semantic layers

• Understanding of Data Platform, Analytics, and Data Science to set direction across all three

• Pragmatic build-vs-buy mindset with market-standard tooling

• Strong communicator able to translate technical choices into business impact

• Leadership style focused on enabling others and delivering independent value across the organisation

• System-thinking approach to root causes and cross-department influence

• Ability to operate in a matrix organisation with cross-team alignment

• Governance, quality, and compliance as design principles

• communication

• leadership

• systems thinking

• data platform architecture

• data warehousing

• data ingestion

Over de vacature

Overview

In this role, you help clients turn data into actionable insights and shape investments for advancing Agentic AI capabilities. You join a cross-disciplinary team within Accenture Data & AI to design data-driven strategies and operating models, driving measurable value. You collaborate with industry experts to build AI roadmaps and ethical, transformative solutions. This position offers exposure to varied industries and a strong emphasis on learning, collaboration, and impact.

Arbeidsvoorwaarden / Benefits

• Work-Life Flexibility: 4x9 workweek
• Hybrid Working
• Competitive Base Salary
• Health & Wellness: Collective Health Insurance, Mental Health Support
• 26 vacation days
• Mobility Budget or transport options

Verantwoordelijkheden

• Build and maintain client relationships to enable trusted engagements
• Design data & AI strategy and operating models for clients
• Define value and investment cases to guide AI initiatives
• Create (Agentic) AI product roadmaps aligned with business goals
• Promote data ethics and best practices in AI transformations
• Collaborate with cross-functional teams and participate in internal taskforces
• Contribute to data & AI-led transformation and communicate insights to diverse audiences

Belangrijkste vereisten

• Master's degree in one of the listed fields

• 0-3 years of experience in a similar role

• Fluent Dutch (B2) and English (C1) both written and spoken

• Strong analytical and problem-solving skills

• Excellent communication and presentation abilities

• Excellent communicator

• Strong presentation skills

• Analytical mindset

• Data science

• Artificial intelligence

• Machine learning

Over de vacature

The impact
that you will create.
At ACT, your work has real impact on the company, your colleagues, and the world. You can make a difference from day one, and your contributions will be recognized. We encourage entrepreneurial spirit and a commitment to excellence in every team. Reward your expertise
with success.
At ACT, we constantly strive to make an environment that fosters success. In our dynamic work environment, you have the tools, space, support, platform, mentorship, and teammates to help you grow and succeed - whatever success might look like to you.Your Role in Our Story: 

As a Quantitative Risk Analyst at ACT Group, you will be instrumental in enhancing our risk management strategies and ensuring our organization's financial resilience. You will join a dynamic team committed to developing and optimizing risk assessment models that support the company’s decision-making processes. By leveraging your expertise in Python and SQL, you will analyse complex datasets to identify, assess, and mitigate potential risks. Working closely with stakeholders across the organization, you will provide insights and recommendations that guide strategic initiatives. This role offers a unique opportunity to engage with cutting-edge technologies and contribute to the development of innovative solutions in risk management. In essence, your role involves:

• Design and implement advanced Python risk models.
• Optimize algorithms and statistical models for risk prediction.
• Maintain and update codebases for performance and reliability.
• Process and analyze large datasets using SQL.
• Apply statistical techniques to interpret data and identify trends.
• Perform stress testing and develop risk mitigation strategies.
• Collaborate with cross-functional teams and the trading desk to gather data and understand strategies.

Your Expertise: 

To be successful in this role, we are looking for candidates with the following qualifications and attributes:

• 3 - 5 years of relevant working experience with strong knowledge of Python and object-oriented programming.
• Bachelor’s or Master’s degree in Mathematics, Computer Science, Physics, Engineering, Statistics, or a related field.
• Experience in trading houses is a plus.
• Strong analytical, quantitative, and problem-solving skills.
• Excellent communication and teamwork abilities with excellent proficiency in English.
• Proactive and adaptable to shifting priorities.

If you meet these criteria and are ready to contribute your expertise to a dynamic and challenging environment, we encourage you to apply.

Our commitment to you:
International Workplace
Business and Communication Related Trainings
Exciting ACT activities
Hybrid work policy
Lunch Discount
14 programs for industry and product knowledge
Make impact one day or from day one?
Act on it.
The path
to your journey

• Apply HereMake an impact one day or day one? Why choose? Apply Now!
• ScreeningIf your application is shortlisted, you will be invited to an initial screening interview with one of our recruiters
• First Interview Meet the team and get to know more about ACT and your role in our story
• Second Interview In the final interview, you are invited to meet with members of the business to discuss your industry knowledge, professional achievements and your vision for the future

Over de vacature

Overview

In this role, you will deliver performance measurement and attribution analysis for multiple investment strategies, focusing on quantitative and active products. You will partner with portfolio managers to validate outputs, drive reporting accuracy, and support digital and data-led transformation across EMEA. You'll develop scalable analytics and automate processes to improve decision-making and client reporting. This is a hands-on role at NTAM, contributing to a high-impact, data-driven investment analytics function.

Verantwoordelijkheden

• Provide performance measurement and attribution analysis for quantitative and active strategies
• Deconstruct portfolio returns using Brinson-Fachler and factor-based methods (style, sector, security selection)
• Collaborate with portfolio management to validate attribution outputs and ensure reporting accuracy
• Develop and enhance performance measurement and asset allocation reporting capabilities
• Investigate data/process issues to identify root causes and implement sustainable solutions
• Support digital and data transformation initiatives with scalable analytics and reporting solutions across EMEA
• Contribute to strategic development of the performance measurement and analytics function with automation and scalability
• Identify opportunities to improve efficiency and automation across reporting and analytics

Belangrijkste vereisten

• Degree in Finance, Mathematics, Computer Science, Physics, Engineering, or another quantitative discipline

• Minimum 7 years in financial services with direct experience in performance measurement, attribution, investment analytics, or risk analytics in asset management

• Strong understanding of quantitative and active investment strategies and factor-based attribution

• Experience with investment analytics platforms such as BlackRock Aladdin, FactSet, or similar

• Ability to analyse large datasets and translate findings into business insights

• Experience with data visualization and analytics tools such as Power BI, QlikView, or similar

• Strong analytical and problem-solving abilities

• Effective communication of complex concepts to technical and non-technical stakeholders

• Stakeholder management and cross-team collaboration

• Python

• R

• SQL

Over de vacature

Overview

In this role you will design and implement advanced risk models to strengthen the company's financial resilience. You will work with a dynamic, cross-functional team to develop and optimize analytical methods that support decision-making. You will analyze large datasets and apply statistical techniques to identify trends and risk drivers, while collaborating with stakeholders including the trading desk. You will contribute to scalable solutions using modern technology and stress-testing to inform risk mitigation. This is a hands-on opportunity to shape risk management with cutting-edge tools and real impact.

Verantwoordelijkheden

• Design and implement advanced Python risk models
• Optimize algorithms and statistical models for risk prediction
• Maintain and update codebases for performance and reliability
• Process and analyze large datasets using SQL
• Apply statistical techniques to interpret data and identify trends
• Perform stress testing and develop risk mitigation strategies
• Collaborate with cross-functional teams and the trading desk to gather data and understand strategies

Belangrijkste vereisten

• 3 - 5 years of relevant working experience with strong knowledge of Python and object-oriented programming

• Bachelor's or Master's degree in Mathematics, Computer Science, Physics, Engineering, Statistics, or a related field

• Experience in trading houses is a plus

• Strong analytical, quantitative, and problem-solving skills

• Excellent communication and teamwork abilities with excellent proficiency in English

• Proactive and adaptable to shifting priorities

• strong communication

• teamwork

• analytical mindset

• Python

• object-oriented programming

• SQL

Over de vacature

Overview

In this role you will own end-to-end operational processes for the trading desk, building scalable automation and applying AI-driven workflows to improve efficiency. You'll collaborate with traders and engineers to deliver cross-team initiatives that enhance reliability and scalability of positions, bookings, and reference data. The role sits at the intersection of traders, developers, and application engineers, enabling better market operations and stability.

Arbeidsvoorwaarden / Benefits

• performance-based bonus
• global team exposure
• training opportunities
• health insurance discounts
• fully paid commuting expenses
• office perks (meals, coffee, massages)

Verantwoordelijkheden

• Own end-to-end operational processes (corporate actions, expiries, early exercises, onboarding new underlyings)
• Build and maintain validation, reconciliation and monitoring for positions, bookings and reference data
• Deliver automation and tooling in Python to remove manual work and scale coverage
• Apply AI and agentic workflows to operational problems
• Drive larger improvement projects, sometimes delivering them directly and other times representing trading on cross-team initiatives
• Coordinate with Application Engineers on incidents and system upgrades
• Participate in an on-call rota

Belangrijkste vereisten

• Graduate or up to 2 years of experience

• STEM degree preferred ( Mathematics, Physics, Engineering or Computer Science )

• Strong analytical mindset and problem decomposition

• Solid Python skills

• Curiosity about AI tooling and applying LLMs or agentic workflows

• Good communication and collaboration with multiple stakeholders

• Fluent in English

• Interest in financial markets

• Strong communication

• Collaborative mindset

• Curiosity about AI and automation

• Python

• AI tooling and LLMs

• Automation at scale

Over de vacature

Are you a structured eLIMS Specialist? Can you translate laboratory processes into clear system configurations?As an eLIMS Specialist Quality Control in Leiden, you will work directly with QC analysts. You will manage master data and ensure smooth laboratory workflows. You will receive a competitive salary up to €3708 per month. The position offers a view to a permanent contract. You will also enjoy clear career development opportunities in the pharmaceutical industry.

what we offer

• An attractive salary
• A full-time position
• Travel allowance per kilometer traveled
• Development and training opportunities
• Clear career growth opportunities in pharma
• Work at an innovative company in Leiden

who are you
To perform well in this role within Quality Control, you must meet the following requirements:

• You are willing to work in Leiden
• You speak English
• You are available full-time
• You have a Bachelor degree in Life Sciences or Computer Science
• You have at least 2 years of experience in a regulated industry
• You have experience with LIMS or eLIMS systems
• You have knowledge of GMP principles

what will you do
As an eLIMS Specialist Quality Control, you form the vital bridge between laboratory users and IT systems. At the start of your day, you connect with the QC team to discuss updated protocols and test methods. Next, you translate these requirements into structured eLIMS master data and configurations. When operational issues or system bottlenecks occur, you investigate the root cause to deliver maintainable solutions quickly. This way, you ensure high data quality and uninterrupted laboratory workflows.

Here are your main responsibilities:

• Translating lab procedures into eLIMS master data
• Configuring and maintaining QC master data
• Troubleshooting operational eLIMS and data issues

where will you work
You will work in a modern Quality Control environment in Leiden. Accuracy and compliance are top priorities here. Our team includes dedicated analysts and data specialists who collaborate closely to deliver reliable results. The culture is supportive and professional, offering room to grow your technical expertise. As an eLIMS Specialist, you will drive continuous improvement and digital optimization.

Why you want to work here:

• A supportive team of skilled colleagues
• Plenty of space for continuous improvement initiatives
• Opportunity to work with modern laboratory software systems

job application
Ready for the next step as an eLIMS Specialist Quality Control in Leiden? Apply today and join our team!