machine learning intern

IMC Trading

<div>
 As a Machine Learning Engineer, you will play a pivotal role in building systems that drive the training and deployment of large-scale ML models across our global operations. You'll collaborate with leading researchers, hardware experts, and software engineers to build robust solutions that maximize the potential of GPU acceleration, distributed computing, and the latest open-source tools. Your work will influence our trading strategies by accelerating experimentation cycles that foster continuous innovation and refinement.
 <br/>
 <br/>
 This is a unique opportunity to solve problems at the intersection of advanced machine learning and trading, where your contributions will shape the future of IMC&rsquo;s technology and trading capabilities.
 <br/>
 <br/>
 <strong>
  Your Core Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   The opportunity to be in a brand new position in a growing team
  </li>
  <li>
   Develop large-scale distributed training pipelines to manage datasets and complex models
  </li>
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   Build and optimize low-latency inference pipelines, ensuring models deliver real-time predictions in production systems
  </li>
  <li>
   Develop libraries to improve the performance of machine learning frameworks
  </li>
  <li>
   Maximize performance in training and inference using GPU hardware and acceleration libraries
  </li>
  <li>
   Design scalable model frameworks capable of handling high-volume trading data and delivering real-time, high-accuracy predictions
  </li>
  <li>
   Collaborate with quantitative researchers to automate ML experiments, hyperparameter tuning, and model retraining
  </li>
  <li>
   Partner with HPC specialists to optimize workflows, improve training speed, and reduce costs
  </li>
  <li>
   Evaluate and roll out third-party tools to enhance model development, training, and inference capabilities
  </li>
  <li>
   Dig into the internals of open-source ML tools to extend their capabilities and improve performance
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Your Skills And Experience
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  <br/>
 </strong>
 <ul>
  <li>
   5+ years of experience in machine learning with a focus on training or inference systems
  </li>
  <li>
   Hands-on experience with real-time, low-latency ML pipelines in high-performance environments is a strong plus
  </li>
  <li>
   Strong engineering skills, including Python, CUDA, or C++
  </li>
  <li>
   Knowledge of machine learning frameworks such as PyTorch, TensorFlow, or JAX
  </li>
  <li>
   Proficiency in GPU programming for training and inference acceleration (e.g., CuDNN, TensorRT)
  </li>
  <li>
   Experience with distributed training for scaling ML workloads (e.g., Horovod, NCCL)
  </li>
  <li>
   Exposure to cloud platforms and orchestration tools
  </li>
  <li>
   A track record of contributing to open-source projects in machine learning, data science, or distributed systems is a plus
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  About Us
  <br/>
  <br/>
 </strong>
 IMC is a global trading firm powered by a cutting-edge research environment and a world-class technology backbone. Since 1989, we&rsquo;ve been a stabilizing force in financial markets, providing essential liquidity upon which market participants depend. Across our offices in the US, Europe, Asia Pacific, and India, our talented quant researchers, engineers, traders, and business operations professionals are united by our uniquely collaborative, high-performance culture, and our commitment to giving back. From entering dynamic new markets to embracing disruptive technologies, and from developing an innovative research environment to diversifying our trading strategies, we dare to continuously innovate and collaborate to succeed.
</div>


Machine Learning Engineer

Alignerr

<div>
 <strong>
  About The Role
  <br/>
  <br/>
 </strong>
 What if your machine learning expertise could directly influence how the most advanced AI systems in the world think, reason, and write code? We're looking for experienced ML engineers in Amsterdam and across the Netherlands to evaluate AI-generated machine learning solutions &mdash; catching errors, improving quality, and helping frontier AI models get genuinely better at one of the hardest things they do.
 <br/>
 <br/>
 This is a fully remote, flexible contract role. Work asynchronously on your own schedule, from wherever you are. No fixed hours, no meetings &mdash; just high-impact, expert work that matters.
 <br/>
 <br/>
 <ul>
  <li>
   Organization: Alignerr
  </li>
  <li>
   Type: Hourly Contract
  </li>
  <li>
   Location: Remote (Netherlands)
  </li>
  <li>
   Commitment: Flexible, project-based
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What You'll Do
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Review and evaluate AI-generated machine learning code &mdash; including Python, TensorFlow, PyTorch, and scikit-learn &mdash; for correctness, efficiency, scalability, and clarity
  </li>
  <li>
   Write high-quality ML solutions to modeling, data processing, and deployment problems across a range of difficulty levels
  </li>
  <li>
   Craft clear, developer-friendly explanations for model architecture decisions, code logic, and problem-solving approaches
  </li>
  <li>
   Identify edge cases, ambiguities, and weaknesses in problem statements, datasets, or AI-generated responses
  </li>
  <li>
   Help set the quality bar for how AI understands and produces machine learning code
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   <br/>
  </li>
 </ul>
 <strong>
  Who You Are
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Deeply fluent in machine learning &mdash; you know your way around model development, data preprocessing, training pipelines, and deployment
  </li>
  <li>
   Hands-on experience with ML frameworks such as TensorFlow, PyTorch, or scikit-learn
  </li>
  <li>
   Strong written communicator &mdash; able to explain complex ML concepts clearly and precisely
  </li>
  <li>
   Detail-oriented and rigorous &mdash; you catch what others miss and care about getting things right
  </li>
  <li>
   Self-motivated and comfortable working independently in an async environment
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Nice to Have
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   3&ndash;5+ years working on machine learning projects, pipelines, or MLOps
  </li>
  <li>
   Experience with model evaluation, cloud deployment, or production ML systems
  </li>
  <li>
   Bachelor's, Master's, or PhD in Computer Science, Machine Learning, or a related field
  </li>
  <li>
   Background in data labeling, RLHF, or other AI training workflows
  </li>
  <li>
   Prior experience with code review or technical writing
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Why Join Us
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Work on cutting-edge AI projects alongside leading research labs and top AI teams
  </li>
  <li>
   Fully remote and async &mdash; work when and where it suits you, with no minimum hour commitments beyond project needs
  </li>
  <li>
   Freelance autonomy with the structure of meaningful, task-based work
  </li>
  <li>
   Your contributions directly improve AI models used by top research labs and enterprise teams worldwide
  </li>
  <li>
   High-performing contributors take on expanded responsibilities and lead new programs
  </li>
  <li>
   Potential for ongoing work and contract extension as new projects launch
  </li>
 </ul>
</div>


Software Engineer – Machine Learning (AI Training)

Booking.com

<div>Role Description:
<div><b>
About Us:</b></div><div>
At Booking.com, data drives our decisions. Technology is at our core. And innovation is everywhere. But our company is more than datasets, lines of code or A/B tests. We&rsquo;re the thrill of the first night in a new place. The excitement of the next morning. The friends you encounter. The journeys you take. The sights you see. And the memories you make. Through our products, partners and people, we make it easier for everyone to experience the world.</div><div></div><div><b><br>
Role Description:</b></div><div>
As a Machine Learning Engineer (MLE I), you contribute significantly to ML projects, taking ownership of tasks and driving them to completion. You are expected to work independently and proactively, leveraging your technical expertise to solve complex problems while collaborating closely with your team. You focus on technical execution and continuous learning, contributing to our engineering culture by sharing knowledge and insights.</div><div></div><div><br>
Understanding our travelers is a top priority at Booking. With millions of accommodations, flights, taxis, attractions, and car rentals available on our platform, we help people around the world find the best options for their journeys. Achieving this requires a deep understanding of traveler preferences, including those explicitly expressed through searches and filters, as well as those inferred from behavioral signals such as clicks and bookings. We also need to accurately interpret traveler intent: Why are they on our platform right now? Are they exploring options or already close to making a decision? Are they continuing a previous session, possibly on another device? And are they extending an existing trip as part of a Connected Trip, or starting an entirely new one?</div><div></div><div><br>
The Traveler Intelligence track, part of Booking.com&rsquo;s Marketplace organization, develops the core capabilities that make personalization at scale possible. It brings together traveler data and behavioral signals into a unified, real-time understanding of each traveler, enabling every product surface and AI-driven interaction to become more relevant and timely. By applying advanced Data &amp; AI techniques to interpret behavior and uncover intent, the track helps deliver more personalized, seamless, end-to-end experiences across the entire Booking platform.</div><div></div><div><b><br>
Key Job Responsibilities and Duties:</b></div><ul><li>
Develop production-grade ML systems, from models to features and pipelines, accounting for reliability, scalability, real-time requirements, monitoring and retraining.</li><li>
Build readable and reusable code, applying code quality best practices and using standard libraries. Choose the right technology or coding methodology as well as refactor and simplify code when necessary.</li><li>
Take full ownership of your services end to end by actively monitoring the systems health, performance and business impact.</li><li>
Be responsible for business related data governance processes, the technical implementation and maintenance of data processing services and storage systems, and the implementation and maintenance of ML governance processes.</li><li>
Evaluate possible architecture solutions taking into account the business and technology requirements.</li><li>
Set the relevant service level objectives SLOs and act accordingly when they are not met.</li><li>
Build readable and reusable code, using the right technologies and coding methodologies applying knowledge of business area tools and product needs.</li><li>
Continuously evolve your craft by keeping up to date with the latest developments in ML/AI and related technologies and upskilling on these, as needed.</li><li>
Contribute to the internal ML/AI community by sharing your knowledge and participating in our internal ML programs.</li><li>
Coach others through evidence and clear communication, explaining advanced technical concepts in simpler terms.</li><li>
Maintain a highly cross-disciplinary perspective, solving issues by applying approaches and methods from across a variety of disciplines and related fields.</li><li>
Achieve mutually agreeable solutions by staying adaptable, communicating ideas in clear coherent language and practicing active listening</li></ul><div></div><div><b><br>
Qualifications &amp; Skills:</b></div><ul><li>
2+ years of relevant work experience (or equivalent), involved with the application of Machine Learning to business problems in a commercial environment.</li><li>
Experience in areas like e.g. Recommender Systems, Deep Learning, Information Retrieval, Computer Vision, Speech Recognition, Causal Inference, MLOps, etc.</li><li>
Work experience (or equivalent), involved with the application of Machine Learning to business problems, preferably in a commercial environment.</li><li>
Knowledge of multiple machine learning facets, such as working with large data sets, experimentation, scalability and optimization.</li><li>
Experience with data-driven product development: analytics, A/B testing, etc.</li><li>
Strong working experience in one or more general purpose programming languages; experience with Python and Spark</li><li>
Experience of version control systems</li><li>
Excellent English communication skills, both written and verbal</li></ul><div></div><div><b><br>
Benefits &amp; Perks - Global Impact, Personal Relevance:</b></div><div></div><div><br>
Booking.com&rsquo;s Total Rewards Philosophy is not only about compensation but also about benefits. We offer a competitive compensation and benefits package, as well unique-to-Booking.com benefits which include:</div><ul><li>
Annual paid time off and generous paid leave scheme including: parent, grandparent, bereavement, and care leave</li><li>
Hybrid working including flexible working arrangements, and up to 20 days per year working from abroad (home country)</li><li>
Industry leading product discounts - up to 1400 per year - for yourself, including automatic Genius Level 3 status and Booking.com wallet credit</li><li>
Living and working in Amsterdam, one of the most cosmopolitan cities in Europe</li><li>
Contributing to a high scale, complex, world renowned product and seeing real-time impact of your work on millions of travelers worldwide</li><li>
Working in a fast-paced and performance driven culture</li><li>
Opportunity to utilize technical expertise, leadership capabilities and entrepreneurial spirit</li><li>
Promote and drive impactful and innovative engineering solutions</li><li>
Technical, behavioral and interpersonal competence advancement via on-the-job opportunities, experimental projects, hackathons, conferences and active community participation</li><li>
Competitive compensation and benefits package and some great added perks of working in the home city of Booking.com</li></ul><div></div><div><b><br>
Diversity, Equity and Inclusion (DEI) at Booking.com:</b></div><div></div><div><br>
Diversity, Equity &amp; Inclusion have been a core part of our company culture since day one. This ongoing journey starts with our very own employees, who represent over 140 nationalities and a wide range of ethnic and social backgrounds, genders and sexual orientations.</div><div></div><div><br>
Take it from our Chief People Officer, Paulo Pisano: &ldquo;At Booking.com, the diversity of our people doesn&rsquo;t just build an outstanding workplace, it also creates a better and more inclusive travel experience for everyone. Inclusion is at the heart of everything we do. It&rsquo;s a place where you can make your mark and have a real impact in travel and tech.&rdquo;</div><div></div><div><br>
We ensure that colleagues with disabilities are provided the adjustments and tools they need to participate in the job application and interview process, to perform crucial job functions, and to receive other benefits and privileges of employment.</div><div></div><div><b><br>
Application Process:</b></div><div>
This section should provide:</div><ul><li>
Let&rsquo;s go places together: How we Hire</li><li>
This role does not come with relocation assistance.</li></ul><div></div><div><br>
Booking.com is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. We strive to move well beyond traditional equal opportunity and work to create an environment that allows everyone to thrive.</div>
Key Skills:
<p>
Recommender Systems, Deep Learning, Information Retrieval, Computer Vision, Speech Recognition, Causal Inference, MLOps, Python, SQL, PyTorch, Spark, Snowflake</p></div>

Machine Learning Engineer I

<div><b>Company Description</b><p><br>
Sia is a next-generation, global management consulting group. Founded in 1999, we were born digital. Today our strategy and management capabilities are augmented by data science, enhanced by creativity and driven by responsibility. We&rsquo;re optimists for change and we help clients initiate, navigate and benefit from transformation. We believe optimism is a force multiplier, helping clients to mitigate downside and maximize opportunity. With expertise across a broad range of sectors and services, our 3,000 consultants serve clients worldwide from 48 locations in 19 countries. Our expertise delivers results. Our optimism transforms outcomes.</p><b><br>
Job Description</b><p><b><br>
What you will do</b><br>
As an expert in the field of Machine Learning Engineering you will be responsible for the growth of our Data team, both professionally as well as in size. You will be in charge of shaping and executing the future of your expertise within Sia. You will work on client projects as well as on building our own Sia AI solutions, together with our Dutch team of Data Scientists, our French Data Engineering team, and other business units of Sia Global.</p><p>
Your responsibilities include:</p><ul><li>
Leading an internal team towards the development of AI products;</li><li>
Working in a multidisciplinary team on client projects as an expert on your subject;</li><li>
Making architectural and design decisions for cloud environments;</li><li>
Building production level ML/AI solutions with solid software engineering;</li><li>
Guiding Data Scientists to scale up their models into production (parallelizing, optimizing, tuning, testing, and wrapping);</li><li>
Giving trainings, leading internal meetings and organizing external events;</li><li>
Participating in team meetings and workshops with clients;</li><li>
Writing blog articles, presenting at conferences and sending out press releases on the subject that you lead.</li></ul><p><b>
Who you will work with</b><br>
The Data Science team is young, diverse and growing (10+). You will join a team that will challenge you and invest in your professional development. We have a flat structure and rely on the entrepreneurial spirit of our members: initiative is highly encouraged. We are striving for well-being, diversity and knowledge-sharing inside the team, so that we can grow together.</p><p><b>
Who you are</b></p><ul><li>
You are an established technical professional that wants to make the next step in their career, taking on more leadership responsibilities.</li><li>
You have first-rate project management and time management skills.</li><li>
You are a true problem solver, you turn complex issues into simple and impactful business solutions.</li><li>
You are enthusiastic for applying Data Science/Engineering solutions to business problems.</li><li>
You have excellent communication skills and can present complicated concepts in a synthetic way.</li><li>
You have the ability to adapt rapidly and work on a range of different business areas within a challenging environment.</li><li>
You have the ability to work collaboratively in a team environment.</li></ul><p><b>
In return, you can expect:</b></p><ul><li>
An international company that gives importance to diversity, inclusion, employee well-being and corporate social responsibilities actions.</li><li>
A great working atmosphere with friendly and professional colleagues where innovation and entrepreneurship are encouraged</li><li>
A personal development plan with a regular follow-up as well training opportunities to develop yourself</li><li>
A competitive salary with great advantages, like mobility budget, hospital insurance, performance -related bonus,...</li></ul><br>
<b>
Qualifications</b><br>
<ul><li>
MSc level education in Computer Science, Applied Mathematics, Artificial Intelligence, Embedded Systems or related field of study.</li><li>
2-4 years of experience in building production-quality ML/Deep Learning pipelines and models.</li><li>
Good understanding of Machine Learning fundamentals and strong knowledge in a specific domain (e.g., Computer Vision, Deep Learning, NLP).</li><li>
Expert coding skills in Python and at least one of these languages: Scala, C++, Java.</li><li>
Hands-on experience with database management languages (e.g., SQL, PostgreSQL).</li><li>
Hands-on experience in cloud-based infrastructures (AWS/GCP/Azure).</li><li>
Hands-on experience with Unix-based command line and DevOps tools (Git, Docker, Kubernetes).</li><li>
Hands-on experience with big data technologies (e.g. Spark, Hadoop, Databricks).</li><li>
You have a strong interest in data and AI-related topics, the ability to quickly build expertise in these areas, and you&rsquo;re excited about helping our clients seize the opportunities they offer.</li><li>
Experience with coaching/mentoring other engineers.</li><li>
Prior experience in Management Consulting is a strong plus.</li><li>
Willingness to travel and work at local and international clients.</li><li>
Fluency in spoken and written English and Dutch is required.</li></ul><br>
<b>
Additional Information</b><p><br>
We are unable to provide a work permit for this position</p><p>
Sia is an equal opportunity employer. All aspects of employment, including hiring, promotion, remuneration, or discipline, are based solely on performance, competence, conduct, or business needs.</p><div></div><p>
Sia is an equal opportunity employer. All aspects of employment, including hiring, promotion, remuneration, or discipline, are based solely on performance, competence, conduct, or business needs.</p></div>

Machine learning Engineer

<div>Role Description:
<p>
At Booking.com, data drives our decisions. Technology is at our core and innovation is everywhere. But our company is more than datasets, lines of code or A/B tests. We&rsquo;re the thrill of the first night in a new place. The excitement of the next morning. The friends you make. The journeys you take. The sights you see. And the food you sample. Through our products, partners and people, we can empower everyone to experience the world.</p><p></p><p><b><br>
About the team:</b></p><p></p><p><br>
This opening is for the <b>Agentic Modeling Team</b> within the Data &amp; AI Marketplace department.</p><p></p><p><br>
The Agentic Modeling team is responsible for enabling mission teams across Booking.com to build, deploy, and continuously improve production-grade AI agents &mdash; without requiring deep AI expertise. We provide a modular, configuration-driven platform where teams compose reusable building blocks &mdash; tools, memory, context management, agent strategies, and system prompts &mdash; into custom agents tailored to their domains. Our SDK and tooling support the full agent lifecycle: building, evaluating, optimizing, publishing, and iterating on agents that power the Connected Trip experience.</p><p></p><p><br>
As a Senior Machine Learning Scientist, you will research, design, and develop the core AI capabilities that power our agentic platform &mdash; focusing on agent strategies, reasoning architectures, context management, memory systems, and multi-agent patterns. You will work at the intersection of LLM research and production systems, translating state-of-the-art techniques into reusable, scalable capabilities that teams across Booking.com can leverage through configuration.</p><p></p><p><b><br>
Key Job Responsibilities and Duties:</b></p><ul><li>
Research and develop advanced <b>agent strategies - </b>iterative planning, self-correction, multi-step reasoning, and conditional execution paths.</li><li>
Design and build <b>context management</b> and <b>memory systems</b> (session-level and long-term) that enable personalized, improving agent experiences.</li><li>
Research and implement <b>multi-agent patterns -</b> enabling specialized agents to collaborate, share context, and delegate sub-tasks.</li><li>
Help build systematic <b>experimentation and optimization</b> - model selection, strategy comparison, prompt engineering, and architecture decisions backed by quantitative analysis.</li><li>
Build reusable ML components that encode production best practices and are available to all teams through configuration.</li><li>
Collaborate closely with ML engineers to ensure research translates into production-grade capabilities with appropriate latency and reliability.</li><li>
Collaborate with cross-functional teams (product managers, mission teams, platform engineers) to translate business requirements into agent capabilities.</li></ul><p></p><p><b><br>
Qualifications &amp; Skills:</b></p><ul><li>
Advanced knowledge and experience in <b>NLP, LLM-based systems, and agentic AI architectures</b> - including tool use, reasoning, retrieval-augmented generation, and agent planning.</li><li>
Experience designing and building <b>production agentic or conversational AI systems</b> at scale.</li><li>
Experience with <b>LLM evaluation and optimization</b> - designing metrics and systematically improving model-based systems.</li><li>
Relevant work or academic experience (MSc + 6 years, or PhD + 4 years), applying Machine Learning to business problems.</li><li>
Masters degree, PhD or equivalent experience in a quantitative field (e.g., Computer Science, Artificial Intelligence, Mathematics, Physics, etc.).</li><li>
Experience designing and executing end-to-end R&amp;D plans. Preferably evidenced by peer-reviewed publications, patents, or open-source contributions.</li><li>
Strong working knowledge of Python and ML/AI frameworks. Experience with LLM APIs and retrieval systems.</li><li>
Experience collaborating cross-functionally in the development of ML-powered products.</li><li>
Excellent English communication skills, both written and verbal.</li><li>
Successfully driving technical and people-related initiatives while communicating with stakeholders at all levels.</li><li>
Leading by example, developing your team and motivating them to achieve their goals. Providing timely feedback and managing key performance indicators</li></ul><p><b>
Benefits &amp; Perks - Global Impact, Personal Relevance:</b></p><p></p><p><br>
Booking.com&rsquo;s Total Rewards Philosophy is not only about compensation but also about benefits. We offer a competitive compensation and benefits package, as well unique-to-Booking.com benefits which include:</p><ul><li><p>
Annual paid time off and generous paid leave scheme including: parent, grandparent, bereavement, and care leave</p></li><li><p>
Hybrid working including flexible working arrangements, and up to 20 days per year working from abroad (home country)</p></li><li><p>
Industry leading product discounts - up to 1400 per year - for yourself, including automatic Genius Level 3 status and Booking.com wallet credit</p></li></ul><p></p><p><b><br>
Inclusion at Booking.com:</b></p><p></p><p><br>
Inclusion has been a core part of our company culture since day one. This ongoing journey starts with our very own employees, who represent over 140 nationalities and a wide range of ethnic and social backgrounds, genders and sexual orientations.</p><p></p><p><br>
Take it from our Chief People Officer, Paulo Pisano: &ldquo;At Booking.com, the diversity of our people doesn&rsquo;t just build an outstanding workplace, it also creates a better and more inclusive travel experience for everyone. Inclusion is at the heart of everything we do. It&rsquo;s a place where you can make your mark and have a real impact in travel and tech.&rdquo;</p><p></p><p><br>
We ensure that colleagues with disabilities are provided the adjustments and tools they need to participate in the job application and interview process, to perform crucial job functions, and to receive other benefits and privileges of employment.</p><p></p><p><br>
Application Process:</p><p>
This section should provide:</p><ul><li><p>
Let&rsquo;s go places together: How we Hire</p></li><li><p>
This role does not come with relocation assistance.</p></li></ul><p></p><p><br>
Booking.com is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. We strive to move well beyond traditional equal opportunity and work to create an environment that allows everyone to thrive.</p></div>

Senior Machine Learning Scientist - Marketplace

Simon-Kucher & Partners

<div></div><div><h1 class="jobSectionHeader"><b>Intern/Associate Consultant Data Science</b></h1>
<p></p><div><b>In The Netherlands</b> - Amsterdam</div>
<br>
This opportunity offers a unique entry into Consulting as a Data Science Intern, particularly focusing on the use of Large Language Models (LLMs) and Natural Language Processing (NLP) in our UK and Netherlands projects.
<div><div><b>What makes us special:</b><br>
<ul><li><b>Become part of a unique entrepreneurial team.</b> Think independently, use your initiative, and take some risks. Entrepreneurship is a powerful force that drives the growth not only of our firm but our clients and people.</li>
<li><b>Unlock the power of opportunity.</b> Advance your career in a thriving company that creates positive impact. We invest in your professional development every step of the way.</li>
<li><b>Enjoy balance and flexible working.</b> Be empowered to do your best work &ndash; whether it&rsquo;s remotely or in the office.</li>
<li><b>Work in a values-driven culture.</b> At Simon-Kucher, our vision is to become the world's leading growth specialist. Our values guide the way we do business and communicate our distinctiveness. They sum up what we stand for, influence our culture, and drive how and why we do things.</li>
</ul></div><div><b>How you will create an impact:</b><br>
<ul><li>You will be an integral part of project teams driving top-line growth for clients, mainly across UK and Netherlands projects.</li>
<li>Responsible for the core stages of model development, including:Data wrangling and pre-processingMachine learning model development, testing, and implementation.</li>
<li>You will analyze and communicate data insights to project teams to support strategic decision-making.</li>
<li>The internship offers an opportunity to learn about commercial strategy consulting in a practical, project-based environment.</li>
<li>Top-performing interns may be offered an entry-level Data Scientist position after completion of the internship.</li>
</ul></div><div><b>Your profile:</b><br>
<ul><li>You have completed both your VWO and bachelor's degree with above-average study results in a quantitative field, such as computer science, engineering, statistics, operational research, data science, or equivalent experience.</li>
<li>Deep knowledge of Machine Learning, statistical modelling, and NLP techniques.</li>
<li>Strong programming skills in R and/or Python, with experience in NLP libraries and frameworks.</li>
<li>Exceptional communication skills to effectively convey complex data insights.</li>
<li>High percentile numerical, deductive, and inductive reasoning skills.</li>
<li>A strong desire to work in a fast-paced, commercially agile environment.</li>
<li>A keen interest in commercial strategy and a desire to work in a dynamic, fast-paced environment.</li>
<li>Strong enthusiasm, curiosity, and a commitment to achieving the best outcomes.</li>
</ul></div></div><p>Internships within the Data Science team usually last around 4 to 6 months and are designed to expose individuals to working on client projects. Interns can expect responsibility from the outset as a valued member of the project team. Throughout your time at Simon-Kucher, you will contribute to analysis and results and can benefit from working alongside experienced Consultants, Directors, and Partners. To be eligible for the internship, you must be enrolled at a university and able to work from our Amsterdam office during the internship period.<br>
<br>
<b>About Simon-Kucher</b><br>
Simon-Kucher is a global consultancy with more than 2,200 employees in 30+ countries. Our sole focus is on unlocking better growth that drives measurable revenue and profit for our clients. As a trusted commercial advisor, we combine deep consulting expertise, growth specialization, and technology to scale impact. We optimize every lever of commercial strategy &ndash; product, pricing, innovation, marketing, sales, and digital &ndash; based on deep insights into what customers value and are willing to pay for. With over 40 years of experience in monetization, we are regarded as the world&rsquo;s leading commercial growth and pricing specialist. <b>simon-kucher.com</b>
</p>
<p>We believe in building a culture that embraces diversity, equity, and inclusion, creating an environment in which our people feel valued, are able to be themselves and feel their contribution matters. If we get that right, remarkable things will happen; people will grow faster, innovate, feel valued, and create better outcomes for everyone &ndash; our people, our clients and, of course, our business.
</p>
<p><b>Your personal contact:</b><br>
Anne-Fleur Lefel<br>
Recruitment.amsterdam@simon-kucher.com</p></div>

Intern/Associate Consultant Data Science

SoTalent

<div>
 <p>
  Data Scientist
 </p>
 <p>
  <strong>
   📍 Amsterdam, Netherlands | Hybrid/Flexible Working
  </strong>
 </p>
 <p>
  An exciting opportunity is available for a
  <strong>
   Data Scientist
  </strong>
  to develop production-ready machine learning, NLP, and Generative AI solutions that help transform complex scientific data into intelligent, real-world applications.
 </p>
 <p>
  Working within a collaborative, cross-functional environment, you'll design and deploy AI-powered solutions that improve knowledge discovery, information retrieval, semantic search, and decision support using large-scale scientific content and data.
 </p>
 <p>
  Key Responsibilities
 </p>
 <ul>
  <li>
   Design, develop and deploy machine learning, NLP and Generative AI solutions for scientific discovery and intelligent content understanding.
  </li>
  <li>
   Build models supporting semantic search, information retrieval, recommendation systems, question answering, summarisation, entity extraction and content classification.
  </li>
  <li>
   Work with large-scale structured and unstructured datasets including scientific publications, research data, knowledge graphs, ontologies, metadata and citations.
  </li>
  <li>
   Apply a range of machine learning techniques including classification, regression, clustering, ranking, deep learning, embeddings, LLMs and retrieval-based methods.
  </li>
  <li>
   Fine-tune, evaluate and integrate AI models into scalable, production-ready systems.
  </li>
  <li>
   Develop clean, maintainable Python code and reusable data science components, pipelines and experimentation frameworks.
  </li>
  <li>
   Monitor model performance, detect drift, support automated retraining and continuously optimise deployed solutions.
  </li>
  <li>
   Partner closely with engineering, product, UX, analytics and domain experts to translate business challenges into measurable AI solutions.
  </li>
  <li>
   Communicate technical concepts, model performance and recommendations to both technical and non-technical stakeholders.
  </li>
 </ul>
 <p>
  Skills &amp; Experience
 </p>
 <ul>
  <li>
   Experience in Data Science, Machine Learning, Artificial Intelligence, Natural Language Processing, Statistics, Computer Science or another quantitative discipline.
  </li>
  <li>
   Strong Python programming skills with experience writing clean, well-tested and maintainable code.
  </li>
  <li>
   Experience working with Large Language Models (LLMs), including platforms such as GPT, Claude or Gemini, with exposure to prompt engineering, fine-tuning or model integration.
  </li>
  <li>
   Solid understanding of supervised and unsupervised learning, feature engineering, model evaluation and performance optimisation.
  </li>
  <li>
   Experience working with large structured, semi-structured or unstructured datasets, particularly text-heavy datasets.
  </li>
  <li>
   Proficiency with modern machine learning libraries such as Pandas, NumPy, SciPy, Scikit-learn, PyTorch or TensorFlow.
  </li>
  <li>
   Strong analytical thinking with the ability to solve complex problems and convert ambiguous requirements into practical solutions.
  </li>
  <li>
   Excellent communication and collaboration skills with experience working across multidisciplinary teams.
  </li>
 </ul>
 <p>
  What's on Offer
 </p>
 <ul>
  <li>
   Flexible working arrangements supporting work-life balance.
  </li>
  <li>
   Hybrid working environment.
  </li>
  <li>
   Wellbeing initiatives, parental leave, study assistance and sabbatical opportunities.
  </li>
  <li>
   The opportunity to work on cutting-edge AI, NLP and machine learning technologies.
  </li>
  <li>
   A collaborative, innovative environment where your work contributes to advancing scientific research and healthcare worldwide.
  </li>
  <li>
   Competitive salary and comprehensive benefits package.
  </li>
 </ul>
 <p>
  If you're passionate about applying machine learning and Generative AI to solve meaningful real-world problems while working with large-scale scientific data, this is an excellent opportunity to make a significant impact.
 </p>
</div>


Data Scientist

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