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Eidra Consulting

<div><p>Eidra is an international, PE-backed consultancy collective that combines management consulting with deep expertise in design, technology, and commerce. In 3.5 years, the Dutch collective has grown significantly and is now shifting from product execution toward broader strategic partnerships with clients. The new Senior Director Consulting will lead the practice that drives that shift.</p><h3 class="jobSectionHeader"><b>
The role</b></h3><p>
Eidra is wired for growth. The moment to accelerate is now, and in the Netherlands, that acceleration starts with the Senior Director Consulting who builds and leads the practice worthy of that ambition.</p><p>
The starting point is a consulting practice with nine professionals, most of them senior generalists with strong strategy consulting backgrounds. Part of the team operates as orchestrator and strategist on larger client assignments that span multiple companies within the collective. Others are embedded directly inside the operating companies, actively bridging the consulting and expert worlds. In AI work specifically, Eidra's engineers, product designers, and data specialists sit alongside the consulting team, so a strategy engagement can credibly cover the full stack, from operating model to product to change program. It is a position very few pure-play strategy firms can match, and the foundation for something significantly larger.</p><p>
The Senior Director will grow the Dutch consulting practice, with the ambition to triple or quadruple the team into a practice that is built to last. That means winning new clients and deepening existing relationships, moving from focused specialist engagements toward full-scope growth programs that draw on the breadth of the collective. The Senior Director sits at the table where growth strategies are defined, and builds the relationship from there, orchestrating seamlessly across brands and capabilities to make sure clients get the full strength of the group. That orchestration, getting the most value out of the collective for every client, is the core responsibility of the consulting practice.</p><p>
Both words in that sentence &mdash; &quot;builds&quot; and &quot;relationship&quot; &mdash; capture what this role is about at its core. The entrepreneurial appetite for building is matched by a talent to connect people and build relationships, externally with C-level client stakeholders and internally with the managing directors and specialists across the Dutch operating companies. Genuine curiosity is the foundation: an intrinsic interest in what happens inside a product studio, a design agency, or a commerce practice, and the ability to earn the trust of people who are exceptionally good at what they do. Eidra consultants care more about the problem than their title.</p><p>
Eidra operates on a simple principle: test it, try it, and see if it works. There is no predefined path and no shortage of room to experiment. The Senior Director who thrives here is energized by that freedom and committed to bringing out the best in themselves and their fantastic team of experts every day: designers, engineers, brand strategists, and digital specialists who have built things, shipped things, and won awards. Working alongside them teaches something no strategy deck ever could. This is not a practice with a vision already set: it is one still waiting to be built.</p><h3 class="jobSectionHeader"><b>
A genuine challenger</b></h3><p>
Most management consultants know the frustration of handing over a deck and watching nothing happen. At Eidra, that frustration disappears. The execution capacity sits next door: strategy becomes a product roadmap, a brand repositioning, a re-engineered customer journey, software that actually gets built. Eidra has established itself as a genuine challenger to the largest consulting firms, and is increasingly invited to compete at that level. The Netherlands is one of Eidra's three primary growth markets, alongside DACH and the US, with growth split roughly evenly between organic expansion and acquisitions.</p><h3 class="jobSectionHeader"><b>
What you bring</b></h3><p>
Over 12 years of experience, with a foundation in consulting followed by a more entrepreneurial or commercial path, such as growing a business or a business line</p><p>
Track record in building and growing C-suite client relationships</p><p>
Generalist consulting toolkit across growth strategy, operating models, and digital transformation</p><p>
Entrepreneurial mindset</p><p>
Organizational savvy with strong stakeholder management skills</p><p>
Able to translate AI strategy into operating models, products, and execution</p><p>
Fluent Dutch speaker, based in the Netherlands</p></div>

Senior Director Consulting

Saga Legal AI

<div><p>Saga is a legal innovation company on a mission to remove the friction between legal expertise and real-world impact, so lawyers can focus on what matters the most: people, ethics, and impact. Founded in Norway and built for the legal profession from day one, we integrate with local legal sources across jurisdictions and are currently available in 12 languages. In just 18 months, we've grown to 70+ employees and 5,000+ users across 20+ countries - with market leadership in Norway and the Netherlands, and active expansion across Europe. We believe technology shouldn't replace legal reasoning, but strengthen it - so the law can work as it's meant to: aligned, accountable, and capable of delivering justice for everyone.</p><p></p><p>
As we grow, we're looking for someone at an unusual and valuable intersection: a legal professional ready to step into marketing, growth, and technology - and help us speak credibly to legal professionals while opening doors into the communities where they already gather.</p><p></p><p><b>
Your role as a Legal Marketing &amp; Growth Specialist</b></p><p></p><p>
This role could be a great fit if you're a legal professional - a jurist, paralegal, or lawyer - who's beginning to imagine applying your expertise beyond traditional legal practice. Maybe you find yourself drawn to technology, curious about marketing and growth, and excited by the idea of using your legal knowledge and network in a completely new way.</p><p></p><p>
As a Legal Marketing &amp; Growth Specialist, you'll bridge law, technology, and marketing. Working closely with Marketing, Legal Engineering, Sales, and Product, you'll build relationships across the legal community, create content that resonates with legal professionals, and position Saga as a trusted voice in legal innovation. Success comes from building trust, growing meaningful relationships, and helping more lawyers across Europe discover a better way to work.</p><p><b><br>
What you'll be doing</b></p><ul><li>
Build and nurture relationships with lawyers, bar associations, alumni networks, and legal innovators across the Netherlands and beyond</li><li>
Create thought leadership and educational content that resonates with legal professionals and strengthens Saga's position in the market</li><li>
Represent Saga at legal events and conferences, spotting new partnership and networking opportunities</li><li>
Act as the voice of the legal customer - bringing market insights and customer feedback into Marketing, Product, and Legal Engineering</li><li>
Support go-to-market, customer education, and product marketing alongside Sales and Marketing</li><li>
Build a scalable community and advocacy program that drives awareness, credibility, and long-term growth</li></ul><p><b>
What you'll bring</b></p><ul><li>
A legal education and practical legal experience, with genuine interest in technology and the future of legal work</li><li>
An active presence in the Dutch legal community - associations, alumni networks, committees, or events</li><li>
Experience creating content, organising events, or building communities beyond traditional legal practice</li><li>
Strong communication and storytelling skills - you make legal and technical ideas clear and engaging</li><li>
An entrepreneurial mindset and the confidence to build relationships and create opportunities from scratch</li><li>
Practical AI fluency - you already use AI tools in your work and are eager to experiment and learn</li></ul><p></p><p><b>
Our team &amp; culture</b></p><p>
We're a team of lawyers, engineers, designers, and builders across multiple countries, with a startup mindset - flexible, fast-moving, and focused on what matters. We don't believe in rigid structures or unnecessary processes, but we do believe in discipline: showing up consistently, following through, and holding ourselves to a high standard.</p><p></p><p>
Outside of work, many of us are active in sports - running, skiing, hiking - not as a mandate, but because we're drawn to the same mindset sport builds: consistency, resilience, and a long-term view. If you thrive in a flat, high-ownership environment, you'll feel right at home.</p><p></p><p><b>
Why join Saga</b></p><ul><li>
A salary between &euro;3,000&ndash;&euro;4,500 gross per month (all-inclusive, based on a 40-hour week), depending on experience and skill set</li><li>
A rare opportunity to pivot from law into tech and marketing - with real support and mentorship to make the transition</li><li>
The chance to shape the foundation of one of Europe's fastest-growing legal innovation companies, serving legal professionals worldwide</li><li>
Autonomy to build, experiment, and shape initiatives with direct impact on strategy and client success</li><li>
A way to use your legal expertise and network for real business impact</li><li>
An annual learning budget for courses, conferences, and development</li><li>
An international team that moves fast, thinks clearly, and builds with care</li></ul><p></p><p><b><br>
Our process</b></p><p></p><p>
If all this sounds like your kind of challenge, we&rsquo;d love to hear from you.</p></div>

Legal Marketing & Growth Specialist

RP Group

<p></p><div><p><b>About the role:</b></p>
In this pivotal role, you will act as a bridge between business and IT, translating business needs into effective BI solutions using a variety of analysis and reporting tools. You will work closely with key stakeholders to understand and leverage Landal&rsquo;s datasets, establish standards and templates, and promote best practices across the organization.<br>
<br>
Develop and maintain high-quality analytics data models, BI reports, and semantic layers that power data-driven decisions across Finance, Commerce, and Operations. The Analytics Engineer works hands-on in Databricks, DBT, and Power BI to translate raw data into reliable, well-documented assets contributing to our Customer 360 initiative, marketing attribution models, and cost-to-LTV analytics under the guidance of the Lead Analytics Engineer.<p></p><p><b>
What will you do:</b></p><p>
As a Analytics Engineer at Landal, you will play a key role in bridging the gap between business and IT, helping our organization make data-informed decisions at both strategic and tactical levels.</p><p></p><p>
In this role, you will:</p><div><ul><li><p>
Build and maintain DBT data models in Databricks, ensuring data quality, performance, and documentation standards are met.</p></li></ul></div><div><ul><li><p>
Help integrating customer touchpoints across marketing, commerce, and operations.</p></li></ul></div><div><ul><li><p>
Support the development and maintenance of multi-touch attribution (MTA) models and assist in laying the groundwork for MMM.</p></li></ul></div><div><ul><li><p>
Develop and maintain Power BI dashboards, semantic models, and metric definitions that serve business stakeholders.</p></li></ul></div><div><ul><li><p>
Write and optimise SQL transformations and work with Data Engineers on ingestion pipelines across Azure and GCP.</p></li></ul></div><div><ul><li><p>
Follow version control, CI/CD, and documentation standards using Azure DevOps and Git.</p></li></ul></div><div><ul><li><p>
Work closely with the Lead Analytics Engineer and business stakeholders to translate requirements into analytics solutions.</p></li></ul></div><div><ul><li><p>
Proactively monitor data accuracy and flag integrity issues in analytical models.</p></li></ul></div><p></p><p>
This position offers a dynamic mix of hands-on development and advisory responsibilities, allowing you to have a real impact on the organization&rsquo;s data-driven decision-making.</p><p></p><p>
Your work location is our new office on Wibautstraat in Amsterdam. Of course, working from home is possible, but it is desirable that you work from the office at least 3 days a week.</p><p></p><p><b>
For this position, we can only consider applicants who are already residing in the Netherlands and hold a valid work permit.</b></p><p></p><p><b>
This is you:</b></p><ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in a quantitative field such as Computer Science, Business Information Management, Engineering, or a related discipline;</li><li>A minimum of 2 years of relevant experience as a Data Analyst or Analytics Engineer;</li><li>Ideally you have some understanding of AI applied analytics, such as Databricks Genie;</li><li>Proven experience in querying, analyzing, and managing large datasets;
</li><li>Advanced proficiency in BI and analytics tools such as Power BI, DBT, Databricks, Power Apps, or similar;
</li><li>Strong experience in dashboard development and data visualization, with understanding of data relationships;
</li><li>SQL proficiency and experience with Data Modeling (Kimball) and Semantic Models;
</li><li>Hands-on experience creating comprehensive business reports and interactive dashboards; Ability to translate complex business requirements into technical BI solutions;
</li><li>Analytical skills for interpreting critical and complex data sets.</li></ul><p></p><p><b>
Come work with us, as this is what we offer!</b></p><div><div><div><div><p>
Together, we go all out to offer the best to our guests and colleagues. If you join us, your efforts will be rewarded with:</p><ul><li><p>
An annual contract with a trial period of one month, whereby we would of course ultimately be happy to employ you permanently.</p></li><li><p>
A salary between &euro;3.600,- and &euro;5.100,- gross per month on a full-time basis*.</p></li><li><p>
A bonus scheme.</p></li><li><p>
27 days' holiday for a full-time working week* with the option to purchase 10 additional days off.</p></li><li><p>
Flexible working hours and the possibility of (partly) working from home.</p></li><li><p>
Working from home allowance of &euro;2,40 per home working day.</p></li><li><p>
A travel allowance in accordance with the Landal travel allowance scheme based on &euro;0,23 cents per km. If you decide to travel by public transport, your travel costs will be 100% reimbursed.</p></li><li><p>
Training and education options.</p></li><li><p>
Participation in the Recreation pension fund. The standard retirement date in this scheme is 67 years. The premium for this old-age pension is 21.8% of the pension basis, with Landal and you each paying half.</p></li><li><p>
Possibility of paid additional maternity and parental leave.</p></li><li><p>
Various group insurance policies, including free continuous travel insurance for you and your family.</p></li><li><p>
A favorable staff booking scheme.</p></li></ul><p></p><ul><li>A full-time employment contract at Landal has a 38-hour working week, which is equivalent to a 5-day working week. If you have a part-time employment contract, your salary and vacation days are calculated pro rata.</li></ul></div></div></div></div></div><div></div>

Data Analyst

Promptwatch

<div>
 Data Scientist
 <br/>
 <br/>
 Amsterdam
 <br/>
 Full-time
 <br/>
 Medior-Senior (4+ YOE)
 <br/>
 &euro;60,000 - &euro;85,000
 <br/>
 <br/>
 Promptwatch sits on one of the richest datasets in AI Search: real AI responses across ChatGPT, Claude, Gemini, and Perplexity, combined with billions of crawler logs and clicks. We ingest around 2,000 events per second of crawler logs, CDN data, and clickstream data, on top of huge volumes of unstructured AI response text. As a Data Scientist, you'll turn this data into the metrics, models, and insights that define how agentic AI Search is measured and improved.
 <br/>
 <br/>
 This is a high-impact, hands-on role. You'll work closely with Product and Engineering to design visibility and sentiment metrics, surface trends across millions of AI answers, and build the analytical foundation that our customers and our public research rely on. Working with large amounts of unstructured data, vector search, and embeddings is at the heart of the role.
 <br/>
 <br/>
 What You'll Do:
 <br/>
 <br/>
 Design and refine metrics for brand visibility, citations, and sentiment across AI assistants
 <br/>
 Analyze large-scale, high-velocity datasets (~2,000 events/second of crawler logs, CDN, and clickstream data) to surface actionable trends
 <br/>
 Make sense of large amounts of unstructured AI response text using embeddings and vector search
 <br/>
 Build statistical and ML models to detect patterns in how AI systems retrieve, rank, and cite content
 <br/>
 Develop reproducible analyses and pipelines that scale with our growing dataset
 <br/>
 Produce public-facing research and reports that establish Promptwatch as a thought leader in AI search space.
 <br/>
 Validate data quality and define methodologies that customers can trust
 <br/>
 What
 <br/>
 <br/>
 We're Looking For:
 <br/>
 <br/>
 4+ years experience in data science, analytics, or a quantitative research role
 <br/>
 Strong proficiency in Python and SQL for data analysis
 <br/>
 Solid foundation in statistics, experimentation, and ML fundamentals
 <br/>
 Experience working with large, messy, real-world datasets, including high volumes of unstructured text
 <br/>
 Hands-on experience with vector search and embeddings
 <br/>
 Ability to translate ambiguous questions into clear, measurable analyses
 <br/>
 Strong communication skills to present findings to technical and non-technical audiences
 <br/>
 Curious and excited about AI, search, and emerging buyer behavior
 <br/>
 Familiarity with data warehouses and analytics tooling (e.g. BigQuery, Tinybird/ClickHouse, Elasticsearch)
 <br/>
 <br/>
 Nice to Have:
 <br/>
 <br/>
 Experience with NLP or working with LLM outputs
 <br/>
 Background in SEO, search, or marketing analytics
 <br/>
 Experience building data visualizations or dashboards
 <br/>
 <br/>
 Compensation
 <br/>
 Salary: &euro;60,000 - &euro;85,000 (depending on experience)
 <br/>
 <br/>
 Perks: Great office location, team off-sites, company and team sports activities
</div>


Data Scientist

McKinsey & Company

<div><div><div><div><div><div><div>Job ID: 109606</div></div></div></div><div></div><div><ul><div>
Amsterdam</div><div>
Brussels</div><div>
Lisbon</div><div>
Madrid</div></ul></div><div></div><div><div><div><br>
</div></div></div></div><div><p>
Do you want to do work that matters, alongside supportive leaders who will help you grow faster than you ever thought possible? Are you a creative problem-solver who is energized by challenges? You&rsquo;ve come to the right place.</p><div><p>
YOUR IMPACT</p><div><div><p>
You will leverage your creativity and problem-solving skills to tackle clients&rsquo; most pressing issues using an analytical lens, meeting client needs and communicating your work to executive audiences.</p><p></p><p>
Client counterparts span a wide range of audiences and functions from treasury and risk professionals, marketing &amp; sales teams, procurement category managers, to high-level stakeholders (e.g., CFO). When working internally, you will build innovative algorithms and products (what we call &ldquo;IP development&rdquo;) to best meet our most common client needs, from building price forecasting models for commodities markets, to brainstorming and developing new offers and solutions to support future clients. You will also work with our engineers to design new interfaces to deliver faster, more impactful insights to our clients.</p><p></p><p>
Your work on the team will primarily be in applying advanced analytics to enable better commodity risk management decisions. For example, you might work as the lead in maintaining and expanding existing hedging strategies by re-training existing models through process driven approaches. You might also modify and improve algorithm performance across market regimes, by introducing new features, data sources, and modelling approaches; rapidly identify opportunities for our clients to increase earnings potential and reduce downside risk by back testing various risk management strategies; co-build bespoke tools with client data science teams that tailor machine-learning algorithms to attain an optimal balance of earnings and volatility given clients&rsquo; risk appetite and capital constraints; and/or collaborate with and train cross-functional client teams to instill long-lasting capabilities and ensure new decision-making models are embraced by organizations.</p><p></p><p>
You will receive best-in-class training in structuring business problems and serving as a client adviser and have opportunities to work closely with and learn from our senior commodity and risk practitioners, as well as industry players that are shaping the future of commodity markets and trading. You will get access to unparalleled career acceleration, with a huge amount of ownership and responsibility from the get-go in a collaborative, diverse, non-hierarchical environment. You will get the opportunity to travel to client sites, locally and around the world (once travel resumes). Lastly, you will be able to provide direct and measurable impact to some of the largest organizations in agribusiness, materials, energy, industrial, and consumer foods sectors around the globe.</p><p></p><p>
As a member of the Commodity Analytics team, you will be based in one of the following offices: Brussels, Amsterdam, Madrid or Lisbon. You&rsquo;ll work closely with McKinsey&rsquo;s Commodity Trading Service Line to support clients across sectors and geographies.</p><p></p><p>
Commodity Analytics helps commodity producers, processors, buyers, and traders across agriculture/softs, metals, energy, and consumer sectors improve commodity price risk capabilities with cutting-edge data science.</p><p></p><p>
The Commodity Trading Service Line at McKinsey supports clients in commodity trading and risk strategy, trading operations transformation, and trading and risk digitization driven by deep trading experts with hands-on trading experience and advanced analytics assets.</p><p></p><p>
Our Risk Practice supports clients in many different industries facing challenges of developing and implementing tailored concepts for risk.</p></div></div></div><div><p>
YOUR GROWTH</p><div><p>
Driving lasting impact and building long-term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance/high reward culture - doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward.</p><p></p><p>
In return for your drive, determination, and curiosity, we'll provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever thought possible. Your colleagues&mdash;at all levels&mdash;will invest deeply in your development, just as much as they invest in delivering exceptional results for clients. Every day, you'll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you won&rsquo;t find anywhere else.</p><p></p><p>
When you join us, you will have:</p><p></p><div><ul><li>
Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey.</li><li>
A voice that matters: From day one, we value your ideas and contributions. You&rsquo;ll make a tangible impact by offering innovative ideas and practical solutions. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes.</li><li>
Global community: With colleagues across 65+ countries and over 100 different nationalities, our firm&rsquo;s diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, you&rsquo;ll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences.</li><li>
World-class benefits: On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package, which includes medical, dental, mental health, and vision coverage for you, your spouse/partner, and children.</li></ul></div></div></div></div></div><div><div><div><p>
YOUR QUALIFICATIONS AND SKILLS</p><div><div><ul><p>
Undergraduate degree is required; Advanced degree in a quantitative discipline (computer science, applied mathematics, economics, quantitative finance, engineering) or equivalent practitioner experience is preferred</p><p>
2+ years&rsquo; experience in commodity markets developing market research, trading, or hedging/risk management strategies such as netback/deal economics, signal backtesting, stress testing, and/or hedge effectiveness is preferred but not required</p><p>
2+ years&rsquo; experience in physical/cash markets of metals, power/electricity markets, natural gas, crude oil, refined products, and/or ocean freight is preferred but not required</p><p>
2+ years&rsquo; experience applying time series analysis of mean-reverting and cointegrated commodity prices/premiums (e.g., ARIMA, VECM, GARCH),supervised learning (e.g., SVM, LSTM, parallel or sequential tree-based models), unsupervised learning (e.g., PCA, K-means clustering), optimization (e.g., LP/MILP and stochastic models), and/or NLP sentiment analysis is preferred but not required</p><p>
6+ months&rsquo; experience with LLM-based analytics in enterprise settings (e.g., document/comms extraction, RAG, evaluation/guardrails) is preferred but not required</p><p>
Experience integrating data science and/or automation workflows with CTRM/ETRM systems via API is preferred but not required</p><p>
Experience automating middle/back-office processes with PRA and LLMs (e.g., pre-trade KYC/credit, trade execution, compliance, logistics, trade settlement) is preferred but not required</p><p>
Production-quality Python for model development, including optimization, time series forecasting, feature engineering, backtesting, and evaluation using standard DS toolkits (e.g., pandas, scikit-learn, statsmodels, gradient boosting, etc.) is required</p><p>
Familiarity with pytest and reproducible research workflow; experience operationalizing models: versioned experiments, CI/CD, model monitoring and drift detection, and collaboration with engineering on APIs and model/solution design is required</p><p>
Experience applying advanced analytical and statistical methods to solve business problems involving commodity markets is required</p><p>
Ability to explain commodity market nuances and/or complex analytics approaches and results in layman&rsquo;s terms to executive audiences across commodity trading, operations, supply chain / logistics, and finance / accounting functions is required</p></ul></div></div></div></div></div><div><div><div><div>
Please review the additional requirements regarding essential job functions of McKinsey colleagues.</div>
<div>Our unwavering commitment to integrity drives everything we do, guiding us to always act in the best interests of our clients, our people, and the communities we serve.</div></div></div></div></div>

Senior Data Scientist - Commodity Trading and Risk Management

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Senior Data Scientist - Commodity Trading and Risk Management