data analytics specialist

Vinted

<div>
 
 Brief Info About Vinted
 
 
 
 Our mission is to make second-hand the first choice, and we're looking for people who want to help us get there. Every day, we work together to help our members buy and sell pre-loved clothing and lifestyle items, giving each piece a second life &ndash; or even a third.
 
 
 The Vinted Group is made up of three business units that support this mission:
 
 
 
 Vinted Marketplace
 
 is Europe&rsquo;s leading platform for second-hand fashion and a go-to destination for all kinds of pre-loved items, with a growing range of categories. Our platform connects millions of members across 20+ markets, helping great items find a new life.
 
 
 
 Vinted Go
 
 enhances the shipping experience with a vast network of over 500,000 pick-up and drop-off points, partnering with more than 60 carriers across Europe, with added services like item verification for peace of mind on high-value pieces.
 
 
 
 Vinted Pay
 
 is the newest part of the Vinted Group, dedicated to bringing secure, reliable payments to buyers and sellers across Europe. Seamlessly integrated into the Vinted app, it helps keep every transaction safe, efficient, and easy for our members.
 
 
 Founded in 2008 in Lithuania, Vinted began as a way for friends to find new homes for clothes they no longer needed. In 2019, we became Lithuania's first unicorn! Today, our headquarters remain in Vilnius, and we've grown with offices across Europe, supported by a team of over 2,000 people.
 
 
 
 Information About The Position
 
 
 
 Vinted&rsquo;s
 
 Marketing domain
 
 is growing - we&rsquo;re on a mission to make Vinted known and loved as the go-to destination for everything second-hand. Marketing is one of the primary drivers behind our biggest strategic goals, from
 
 winning the USA market
 
 to expanding beyond fashion into a
 
 multi-vertical platform
 
 .
 
 
 We&rsquo;re looking for 2 x
 
 Data Scientists
 
 to join our
 
 Marketing Modelling Intelligence
 
 team to hands-on build, refine, and scale our core predictive and explanatory models. In this role, you will be the technical engine behind our Bayesian Media Mix Models (MMM), user value machine learning models, and advanced statistical frameworks. Your focus will be on engineering robust, high-performing models that transform complex data into the precise insights our domain relies on.
 
 
 
 In this position, you&rsquo;ll
 
 
 
 <ul>
 <li>
 Evolve Our Marketing Measurement: Code, calibrate, and scale our Bayesian Media Mix Models (MMM) and ROI frameworks to unlock precise business insights.
 </li>
 <li>
 Build and Deploy Core Models: Build and maintain sophisticated econometric and statistical models (MMM, GMV, engagement) to quantify marketing impact and guide multi-channel growth.
 </li>
 <li>
 Automate Model Validation &amp; Health Monitoring: Design automated frameworks and reliability metrics that continuously monitor model health and ensure long-term accuracy.
 </li>
 <li>
 Build Next-Gen, Automated Capabilities: Drive the ambition toward intelligent data products [such as self-healing MMMs] using modern AI and automation to optimize model runtimes and scale our ecosystem as Vinted grows.
 </li>
 <li>
 Partner Decision Scientists &amp; Marketing Leadership: Act as the core technical partner, translating complex mechanics into clear concepts and helping the team connect model outputs to robust business decisions.
 </li>
 <li>
 Champion Modelling Excellence: Maintain a high bar for code quality, rigorous validation, and reproducibility to ensure our data science practices remain clean and trusted.
 
 
 </li>
 </ul>
 
 About You
 
 
 
 <ul>
 <li>
 Proven Data Science Experience: Hands-on experience focused on advanced statistical, econometric, or time-series modelling (experience in marketing measurement/MMM is an advantage).
 </li>
 <li>
 Deep Theoretical Knowledge: Strong foundation in advanced statistics, causal inference, and regression. Familiarity with probabilistic programming (e.g., PyMC) is a major plus.
 </li>
 <li>
 Research-to-Application Mindset: Ability to read scientific papers, explore state-of-the-art techniques, and replicate or adapt advanced methodologies to solve complex problems.
 </li>
 <li>
 Production-Grade Engineering: Highly proficient in Python, with a passion for building models as data products. You design your pipelines and code so they are modular, reproducible, and easily used or extended by other scientists.
 </li>
 <li>
 Business-Minded Tech Partner: You care deeply about the why behind your code, naturally connecting technical model outputs to commercial metrics and business outcomes.
 </li>
 <li>
 Educational Background: A Master&rsquo;s or PhD degree in a highly quantitative discipline (Statistics, Econometrics, Mathematics, Data Science, or similar).
 </li>
 <li>
 Impactful storyteller: A charismatic and confident presenter who navigates any topic&rsquo;s technicality, actively driving and facilitating strategic business conversations across both technical and leadership audiences.
 
 
 </li>
 </ul>
 
 Work perks
 
 
 
 <ul>
 <li>
 The opportunity to benefit from our share options programme
 </li>
 <li>
 25 days of paid annual leave
 </li>
 <li>
 Newest MacBook models
 </li>
 <li>
 Confidential Employee Assistance Program (EAP) for you and your family
 </li>
 <li>
 Frequent team-building events
 </li>
 <li>
 Home office support: we provide IT workstation equipment and a personal budget of up to &euro;540 for home workplace furniture
 </li>
 <li>
 Lunch benefit per working day
 </li>
 <li>
 Access to a discounted gym membership plan
 </li>
 <li>
 A personal monthly budget for shopping on Vinted
 </li>
 <li>
 Collective Defined Contribution Pension plan
 </li>
 <li>
 NS Business Card for your commute to the office by public transport
 </li>
 <li>
 The opportunity to spend up to 90 days per year - 21 of which can be spent working outside of the EU - on workation
 </li>
 <li>
 A dog-friendly office
 
 
 </li>
 </ul>
 
 Working at Vinted
 
 
 
 
 Individual Learning Budget
 
 
 
 We invest in your professional growth! As part of our commitment to continuous learning, we offer an annual learning budget to support your personal and career development through courses, certifications, workshops and more.
 
 
 
 Hybrid Work
 
 
 
 We&rsquo;ve adopted a hybrid workplace model where 2 days in the office are recommended but not enforced. It&rsquo;s up to you and your team to decide on the exact days you&rsquo;ll spend working together in person.
 
 
 
 Equal Opportunity
 
 
 
 The Vinted Group is committed to building an inclusive workplace where people from all walks of life feel a sense of belonging. We welcome applications from people of all backgrounds, identities and life experiences. At Vinted, all applicants are treated fairly without regard to their race, age, religion or belief, sex, national origin, citizenship, gender identity, sexual orientation, disability, or any other protected characteristic.
 
 
 The annual gross salary range for this position is:
 
 
 &euro;53.900&mdash;&euro;91.500 EUR
</div>

Data Scientist, Marketing Modelling Intelligence

RP Group

<div>About the role:
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. 
 
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.
What will you do:
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.
In this role, you will:<div><ul><li>
Build and maintain DBT data models in Databricks, ensuring data quality, performance, and documentation standards are met.</li></ul></div><div><ul><li>
Help integrating customer touchpoints across marketing, commerce, and operations.</li></ul></div><div><ul><li>
Support the development and maintenance of multi-touch attribution (MTA) models and assist in laying the groundwork for MMM.</li></ul></div><div><ul><li>
Develop and maintain Power BI dashboards, semantic models, and metric definitions that serve business stakeholders.</li></ul></div><div><ul><li>
Write and optimise SQL transformations and work with Data Engineers on ingestion pipelines across Azure and GCP.</li></ul></div><div><ul><li>
Follow version control, CI/CD, and documentation standards using Azure DevOps and Git.</li></ul></div><div><ul><li>
Work closely with the Lead Analytics Engineer and business stakeholders to translate requirements into analytics solutions.</li></ul></div><div><ul><li>
Proactively monitor data accuracy and flag integrity issues in analytical models.</li></ul></div>
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.
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.
For this position, we can only consider applicants who are already residing in the Netherlands and hold a valid work permit.
This is you:<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>
Come work with us, as this is what we offer!<div><div><div><div>
Together, we go all out to offer the best to our guests and colleagues. If you join us, your efforts will be rewarded with:<ul><li>
An annual contract with a trial period of one month, whereby we would of course ultimately be happy to employ you permanently.</li><li>
A salary between &euro;3.600,- and &euro;5.100,- gross per month on a full-time basis*.</li><li>
A bonus scheme.</li><li>
27 days' holiday for a full-time working week* with the option to purchase 10 additional days off.</li><li>
Flexible working hours and the possibility of (partly) working from home.</li><li>
Working from home allowance of &euro;2,40 per home working day.</li><li>
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.</li><li>
Training and education options.</li><li>
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.</li><li>
Possibility of paid additional maternity and parental leave.</li><li>
Various group insurance policies, including free continuous travel insurance for you and your family.</li><li>
A favorable staff booking scheme.</li></ul><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

Elsevier

<div>Product Analyst
About Our Team
The Product Analytics team turns behavioural and product data into insights that help us evaluate product changes, improve user experience and influence product strategy. We work closely with Product Managers, UX Designers, Engineers and senior stakeholders to understand user behaviour and identify opportunities with the greatest customer and business impact.
About The Role
In this role, you will lead the Product Analytics scope for one or more of our fast-growing, innovative, world-leading products.
You will be part of an analytics team of 30+ analysts located in Amsterdam and London, working with product teams and stakeholders across the US, UK and the Netherlands.
Responsibilities:
Understand User Behaviour
Use behavioural and transactional data to measure user journeys, adoption, engagement, retention, conversion and satisfaction. Use techniques such as funnel analysis, cohort analysis, user segmentation and feature adoption to generate actionable insight.
Define Product Success
Partner with Product Managers and other stakeholders to translate customer needs, product strategy and business objectives into clear product goals (OKRs) and success metrics.
Evaluate Product Changes
Design measurement approaches for new product features, launches and iterations (including A/B testing and experimentation), to determine whether changes are driving customer and business outcomes.
Use AI-Assisted Practices
Use AI tools to accelerate analytical workflows, including SQL and Python development, exploratory analysis, visualisation and documentation. Apply agentic working practices by breaking complex questions into clear briefs for AI assistants and applying human judgement and validation checks to ensure results are accurate and useful.
Communicate Insight Clearly
Tell compelling stories with data through concise analysis, presentations, and dashboards. Communicate insights and recommendations effectively to audiences ranging from product squads to senior leadership. Help stakeholders interpret results and make confident, data-informed decisions.
Improve Measurement Quality
Work with Product and Engineering colleagues to ensure the right product data capture is in place. Define tracking requirements that make future product decisions easier and more reliable.
Requirements:
Product Analytics Experience
A minimum of 3-5 years of hands-on experience in Product Analytics, Digital Analytics or a closely related analytical role where you have used data to influence product decisions, feature development or customer experience improvements. Whether you are an emerging senior analyst or a seasoned expert, we would love to hear from you.
Technical Proficiency
SQL and Python/R - Advanced skills for deep-dive analysis, statistical work, and visualisation.
Web Analytics &ndash; Familiarity with / desire to work with Adobe Analytics to analyse user behaviour.
AI Tools &ndash; Experience of tools like ChatGPT / Codex, Microsoft Copilot and Claude Code to accelerate but not replace analytical reasoning.
Familiarity with Snowflake, Tableau, Databricks or similar platforms is useful.
Stakeholder Influence
Ability to work effectively with Product Managers, UX Designers, Engineers and senior stakeholders. Answer strategic questions, advocate a data-driven culture and empower stakeholders to use data well. Challenge assumptions constructively to influence strategy and prioritise product roadmaps to deliver better outcomes.
Communication And Collaboration
Fluent in English, with strong presentation skills. Comfortable working in cross-functional and culturally diverse teams across different locations and time zones.
Growth Mindset
Enthusiasm for learning, curiosity about users and products, and a positive, humble attitude. You are not afraid to ask questions and are comfortable working with ambiguity.
Work in a way that works for you
We promote a healthy work/life balance across the organization. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals.
Flexible working hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive. 
<ul><li>
 
</li></ul>About Our Company
Elsevier helps researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. We do this by facilitating insights and critical decision-making for customers across the global research and health ecosystems. Applying customer centricity, product and data best practices, and a passion for excellence, we deliver world-class customer solutions.
Primary Location Base Pay Range: NLD Amsterdam (Radarweg) &euro;40,400 - &euro;67,400. This role is covered by the Collective Labor Agreement Publishing Industry.
We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location.
We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120.
Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here .
Please read our Candidate Privacy Policy .
We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.
USA Job Seekers:
EEO Know Your Rights .</div>

Shared Technology Product Analyst

Promptwatch

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

Data Scientist

Xccelerated | Part of Xebia

<div>
 
 Data Engineer
 
 
 
 
 
 
 Location:
 
 Netherlands (hybrid)
 
 
 
 Language:
 
 English-speaking environment
 
 
 
 
 
 Are you a
 
 Data Engineer based in Europe
 
 who wants to take the next step in your career?
 
 
 Would you like to
 
 relocate to the Netherlands
 
 and work on a modern cloud-based data platform while accelerating your growth through structured, high-level training?
 
 
 
 
 
 At
 
 Xccelerated
 
 , we are looking for
 
 Medior Data Engineers
 
 to help build a
 
 state-of-the-art data platform on Google Cloud Platform (GCP)
 
 . You&rsquo;ll work alongside experienced consultants and follow an intensive training program designed to rapidly strengthen your technical and professional skills.
 
 
 
 
 
 💡 Why join Xccelerated?
 
 <ul>
 <li>
 Build a
 
 modern data platform from scratch
 
 on Google Cloud Platform
 </li>
 <li>
 Work on real client projects while continuously improving your skills
 </li>
 <li>
 Receive
 
 60+ days of structured technical training
 
 led by experienced Tech Leads
 </li>
 <li>
 Collaborate with international engineering and analytics teams
 </li>
 <li>
 After one year, transition to a
 
 direct contract with the client organization
 
 </li>
 </ul>
 
 
 
 
 🚀 Your role as a Data Engineer
 
 
 As a Data Engineer at Xccelerated, you will help lay the foundation for data-driven decision making.
 
 
 You will:
 
 <ul>
 <li>
 Design, build and maintain
 
 scalable data pipelines
 
 on GCP
 </li>
 <li>
 Develop components of a modern data platform supporting analytics and machine learning use cases
 </li>
 <li>
 Ensure reliable integration between data sources, pipelines and data models
 </li>
 <li>
 Work closely with engineering, analytics and cloud teams on architecture and implementation
 </li>
 <li>
 Continuously improve data quality, reliability and performance
 </li>
 </ul>
 
 
 
 
 👩 💻 Who we&rsquo;re looking for
 
 
 You&rsquo;re a hands-on engineer who enjoys learning by doing and working on meaningful data challenges.
 
 
 You bring:
 
 <ul>
 <li>
 A Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data, Cloud or a related field
 </li>
 <li>
 
 3&ndash;4 years of experience
 
 as a Data Engineer (or similar role)
 </li>
 <li>
 Strong skills in
 
 Python
 
 and
 
 SQL
 
 </li>
 <li>
 Experience with at least one public cloud:
 
 GCP, AWS or Azure
 
 </li>
 <li>
 Familiarity with modern data tools such as
 
 Spark, Databricks or Airflow
 
 </li>
 <li>
 A proactive mindset and willingness to
 
 relocate to the Netherlands
 
 </li>
 </ul>
 
 
 
 
 🎁 What we offer
 
 
 At Xccelerated, we offer more than just a job &mdash; we offer a
 
 career accelerator in Data &amp; Cloud
 
 .
 
 <ul>
 <li>
 Competitive salary based on experience
 </li>
 <li>
 
 Relocation support
 
 for candidates moving to the Netherlands
 </li>
 <li>
 25 vacation days
 </li>
 <li>
 Intensive onboarding with a hands-on technical bootcamp
 </li>
 <li>
 Weekly technical training, mentoring and innovation days
 </li>
 <li>
 Company laptop and modern tooling
 </li>
 <li>
 Great lunches, excellent coffee and a well-stocked snack bar
 </li>
 <li>
 Hybrid working model and an international team
 </li>
 </ul>
 
 
 
 
 🌍 About Xccelerated
 
 
 Xccelerated (part of the
 
 Xebia Group
 
 ) is a tech accelerator focused on developing the next generation of Data &amp; Cloud professionals.
 
 
 You&rsquo;ll work
 
 four days per week
 
 on real client projects and spend
 
 one day per week
 
 on structured training, coaching and innovation. After one year, you&rsquo;ll have the opportunity to join one of our partner companies directly.
 
 
 
 
 
 📩 Interested in relocating to the Netherlands?
 
 
 We&rsquo;d love to hear from you.
 
 
 📧 Contact:
 
 Samantha Goncalves
 
 &ndash; sgoncalves@xccelerated.io
 
 
 📞 Phone: +31 6 13889770
 
 
 
 
 
 📋 Application process
 
 <ol>
 <li>
 Introductory interview with one of our recruiters
 </li>
 <li>
 Technical assessment &amp; presentation with one of our Tech Leads (remote)
 </li>
 </ol>
 
 We aim to complete the process within
 
 1&ndash;3 weeks
 
 , depending on availability.
 
</div>

Data Engineer (Relocation to the Netherlands)

<div>Company Description 
Sia is a next-generation, global management consulting group born digital, augmented by data, enhanced by creativity, and driven by responsibility. We partner with clients to resolve challenges and capitalize on opportunities. We believe that in today&rsquo;s world of change and disruption, optimism is a force multiplier. 
Job Description 
The Amsterdam Data Science team is diverse, dynamic, and rapidly growing. You will collaborate closely within multidisciplinary teams, applying advanced analytics and machine learning techniques to solve complex business problems and deliver impactful solutions. Our flat structure encourages initiative, entrepreneurial spirit, diversity, well-being, and knowledge sharing so that we grow together.
Responsibilities
As a Data Science Consultant, you will collaborate with our Data Scientists, Data Engineers, and Consultants on various client projects in multidisciplinary teams. You will use advanced analytics, machine learning, and GenAI techniques to solve complex business problems and deliver impactful solutions.
Responsibilities include:<ul><li>
Collaborate with colleagues to identify business challenges and extract actionable insights from data.</li><li>
Develop and implement statistical models, optimization solutions, and advanced machine learning techniques.</li><li>
Apply Generative AI and large language models to create innovative solutions.</li><li>
Clearly present analytical results and assist in facilitating client workshops.</li></ul>
Your profile<ul><li>
Motivated, analytical, and eager to learn.</li><li>
Thrive in collaborative, multidisciplinary environments.</li><li>
Clear communicator, comfortable translating complex technical concepts into actionable recommendations.</li></ul> 
Qualifications<ul><li> 
Completed WO Master's degree in Data Science, Econometrics, Applied Mathematics, Computer Science, (Energy) Engineering, or a related technical field involving substantial programming.</li><li>
1 to 3 years of relevant professional experience.</li></ul><ul><li>
Strong coding skills in Python and at least one additional analytical language (e.g., R, SQL).</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>
Solid knowledge of Machine Learning techniques, optimization methods, and Generative AI.</li><li>
Previous exposure or interest in cloud platforms (AWS, Azure, GCP) is a plus.</li><li>
Fluent in English and Dutch, both written and oral. Additional languages are considered advantageous.</li></ul>
What we offer<ul><li>
Training and development opportunities to advance your expertise.</li><li>
A supportive environment with structured mentorship and personalized training opportunities.</li><li>
Opportunities to participate in international projects.</li><li>
Flexible working hours and performance-based promotion.</li><li>
Competitive salary, bonus, and benefits package (health insurance, pension).</li></ul> 
Additional Information 
We are unable to provide a work permit for this position.
Non-Dutch speakers will unfortunately not be accepted.
Sia is an equal opportunity employer. Employment decisions&mdash;including hiring, promotion, remuneration, or disciplinary actions&mdash;are based solely on performance, competence, conduct, and business needs.<div></div>
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.</div>

Data Science Consultant

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> 
</div></div></div></div><div>
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.<div>
YOUR IMPACT<div><div>
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.
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.
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.
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.
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.
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.
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.
Our Risk Practice supports clients in many different industries facing challenges of developing and implementing tailored concepts for risk.</div></div></div><div>
YOUR GROWTH<div>
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.
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.
When you join us, you will have:<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>
YOUR QUALIFICATIONS AND SKILLS<div><div><ul>
Undergraduate degree is required; Advanced degree in a quantitative discipline (computer science, applied mathematics, economics, quantitative finance, engineering) or equivalent practitioner experience is preferred
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
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
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
6+ months&rsquo; experience with LLM-based analytics in enterprise settings (e.g., document/comms extraction, RAG, evaluation/guardrails) is preferred but not required
Experience integrating data science and/or automation workflows with CTRM/ETRM systems via API is preferred but not required
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
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
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
Experience applying advanced analytical and statistical methods to solve business problems involving commodity markets is required
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</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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