Jobs in the Netherlands, in English.

Senior Specialist Data Science & Engineering - AI & data

Hybrid in Amsterdam·Full-time·Added 19 days ago (last checked 20 Oct)

KPMG Netherlands

180 open roles

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Our summary

Work mode: Hybrid, Amsterdam
Contract: Full-time
Languages: Dutch
Experience: 2+ years

Skills

This job advert was originally written in Dutch.

Requirements

What we're looking for

A master's degree in a STEM-related field (e.g., computer science, physics), with a strong foundation in mathematics and statistics.
Demonstrable experience (minimum 2 years) in solving complex problems using AI, data science, and large-scale data processing, preferably in a consultancy setting.
Experience in data analysis and programming with languages such as Python, SQL, Scala, or other languages.
Experience with cloud and analytics platforms such as Azure, AWS, Google Cloud, Databricks, Snowflake.
A conceptual understanding of data engineering paradigms, networking, and data storage solutions.
Familiarity with solutions such as Data Lakes and Data Warehouses, as well as big data tools and techniques such as Spark and Flink.
An analytical mindset capable of abstract thinking, coupled with curiosity and a willingness to learn at the intersection of data science and big data engineering.
Good communication skills and the ability to work effectively in a team, with a knack for explaining complex technical concepts to non-technical stakeholders.
A self-starting attitude, capable of handling multiple projects in parallel and adapting to changing client needs.
You work in an international team, but you are proficient in the Dutch language.

Pay & benefits

What you'll get

Gross monthly salary between € 4,000.- and € 5,100.- depending on your work experience, variable performance bonus, a fixed expense allowance, and a fixed work-from-home allowance per working day.
A flexible pension without a mandatory personal contribution.
30 vacation days (on a full-time basis) and the possibility to buy more days or sell your vacation days.
At KPMG we work hybrid, so a combination of working from home, at the client, and at the office.
A fully equipped home office.
A lease car with an NS business card or a mobility scheme.
A laptop and iPhone.
An extensive range of training and education that contributes to your professional and personal development.
Diversity networks in the areas of pride, gender, ability, cultural diversity, and generations that regularly organize various activities to celebrate difference!
Attention to vitality! Exercising at the office in Amstelveen or a discount at a gym near you, as well as access to coaching, health, and vitality programs.
‘Together’ is one of our core values. You can therefore count on various social activities such as team outings, drinks, and events together with your colleagues.

The role

As a Senior Specialist Data Science & Engineering, you will work in a team of passionate data scientists, data engineers, (agentic) AI experts, and architects, who are dedicated to making an impact through data. You will work directly with clients to understand their needs, advise on, and implement innovative data and analytics solutions that combine the latest techniques in data science and data engineering. Your role encompasses both the analytical aspect of data science, such as generative AI, agentic AI, time series analysis, natural language processing, and image recognition, as well as the technical challenges of big data engineering, including designing effective data processing pipelines and creating real-time applications. Our pragmatic approach means that you use the best tools, platforms, and methods for each project, ensuring optimal results for our diverse clients.

What you'll do

Solving complex problems that require a mix of (agentic) AI, data science, and big data engineering skills.
Implementing and deploying Machine learning and AI models.
Designing and implementing large-scale data processing pipelines.
Translating business questions into data science and engineering tasks.
Ensuring the reliability and efficiency of data transformations in both batch and real-time applications.
Communicating technical solutions and translating them into valuable insights for clients across various sectors, including the public sector, infrastructure, retail, etc.
Advising on strategy and governance.
Translating business challenges into pragmatic and future-proof solutions.
Taking the lead in multidisciplinary teams.
Contributing to business development, proposals, and the further expansion of our AI & data practice