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Senior Data Scientist
- Pay
- Pay not listed
- Work setting
Hybrid — work setting source
Senior Data Scientist Location: Madrid (Hybrid: 4 days office / 1 day WFH) Stack: Python, SQL, GCP (BigQuery, AI Platform, Cloud Functions), ML Libraries, CRM (Salesforce), LLMs.
Read the full posting- Employment
- Not stated
What you’ll work on
Full postingLead the commercial analytics data science roadmap from problem framing to production
Evolve existing lead scoring and conversion models and design new predictive algorithms
Design A/B tests and causal inference studies to quantify revenue and sales impact
Integrate model predictions into CRM and sales workflows with engineers and analysts
Translate technical output into business insights and drive adoption with sales leaders
From the employer’s posting
Lead the commercial analytics data science roadmap end-to-end
Evolve existing lead scoring and conversion models while designing and deploying novel predictive algorithms
Design and execute experimentation frameworks (A/B testing, causal inference) to rigorously quantify real-world revenue and sales impact
Collaborate with Data Engineers, Analytics Engineers, and Data Analysts to integrate model predictions seamlessly into CRM and sales workflows
Translate complex technical output into actionable business insights, working directly with sales leaders to drive adoption
What you’ll bring
All qualificationsCore experience
- 5+ years of dedicated Data Science experience, with a proven track record of bringing predictive models into production and measuring commercial business impact.
- Hands-on experience with Google Cloud Platform (BigQuery, Vertex AI, Cloud Functions).
- Excellent ability to translate complex technical output into clear executive strategies and partner effectively with engineers and business stakeholders.
- Expertise in A/B testing methodology, uplift modeling, and causal analysis.
- Experience integrating model outputs with Salesforce or similar CRM environments.
- Experience deploying Large Language Models (LLMs) for unstructured text and sentiment analysis.
Qualification wording
5+ years of dedicated Data Science experience, with a proven track record of bringing predictive models into production and measuring commercial business impact.
Hands-on experience with Google Cloud Platform (BigQuery, Vertex AI, Cloud Functions).
Excellent ability to translate complex technical output into clear executive strategies and partner effectively with engineers and business stakeholders.
Expertise in A/B testing methodology, uplift modeling, and causal analysis.
Experience integrating model outputs with Salesforce or similar CRM environments.
Experience deploying Large Language Models (LLMs) for unstructured text and sentiment analysis.
Benefits in the posting
Full benefits wording- Competitive Salary + Performance-based discretionary bonus.
- Other Benefits: Private health insurance, flexible remuneration, and a day off on your birthday.
From the employer’s posting.
About Ebury
Ebury delivers sophisticated, integrated solutions — business accounts, hedging, and financing — on a single platform with a seamless workflow.
In the employer’s words · Read in context
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Oct 29, 20266 days ago
- Recorded sightings
- 7
- Last seen by us
- Nov 4, 2026
- Reposted
- once since Oct 7, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications. We count a repost when the same title and location comes back as a new listing within 60 days of the last one coming down. Some hiring systems expire listings on a schedule, so repost rates vary by system.
How this job compares
Ebury is hiring
10 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Hiring at a steady pace
- Takes jobs down quickly
- 70% of open jobs were reposted
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- SQL
- BigQuery
- GCP
Where the posting names them
Location: Madrid (Hybrid: 4 days office / 1 day WFH) Stack: Python, SQL, GCP (BigQuery, AI Platform, Cloud Functions), ML Libraries, CRM (Salesforce), LLMs. Why This Role Exists
- 5+ years of dedicated Data Science experience, with a proven track record of bringing predictive models into production and measuring commercial business impact. - Advanced proficiency in Python and SQL for handling both large structured and unstructured datasets. - Strong background in statistical modeling, machine learning algorithms, and rigorous model evaluation protocols.
Nice-to-Have Qualifications - Hands-on experience with Google Cloud Platform (BigQuery, Vertex AI, Cloud Functions). - Expertise in A/B testing methodology, uplift modeling, and causal analysis.
Your next step
Complete your application on job-boards.eu.greenhouse.io. The employer’s form will show what is required.
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Already applied? Track this application
About the role
We file this job under Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
US government figures for data scientists
- Median yearly pay, May 2025
- $120,230
- Expected change, 2025 to 2035
- 34.6% more jobsagainst 3.5% for all jobs
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
Job description
Ebury helps ambitious businesses unlock global growth, and we take the same approach with our people. We encourage innovation and movement, collaboration and problem-solving, and foster an environment where everyone can feel they belong, are valued, supported and empowered to succeed.
If you’re a collaborator who wants to help transform how businesses operate globally, get in touch - we’d love to discuss how Ebury can accelerate your career so you can shape the future.
Senior Data Scientist
Location: Madrid (Hybrid: 4 days office / 1 day WFH)
Stack: Python, SQL, GCP (BigQuery, AI Platform, Cloud Functions), ML Libraries, CRM (Salesforce), LLMs.
Why This Role Exists
Ebury is executing an ambitious strategic growth plan across multiple business verticals. To power this expansion, we need to bridge the gap between advanced data science and real-world sales execution. This role exists to drive innovation in Growth modelling and deliver the actionable, data-driven insights that fuel our global sales engine.
Today, optimizing sales performance requires continuous experimentation and refining how we identify commercial opportunities. Tomorrow, we want to scale and seamlessly integrate our predictive models—such as Lead Scoring, conversion, and profitability models—directly into our sales enablement platforms so our teams can make faster, smarter, and highly optimized decisions every day.
What You'll Do
- Roadmap & Ownership: Lead the commercial analytics data science roadmap end-to-end, taking full ownership from problem framing and experimentation through to production deployment and impact evaluation.
- Predictive Modeling: Evolve existing lead scoring and conversion models while designing and deploying novel predictive algorithms.
- Impact Measurement: Design and execute experimentation frameworks (A/B testing, causal inference) to rigorously quantify real-world revenue and sales impact.
- Workflow Integration: Collaborate with Data Engineers, Analytics Engineers, and Data Analysts to integrate model predictions seamlessly into CRM and sales workflows.
- Stakeholder Enablement & Adoption: Translate complex technical output into actionable business insights, working directly with sales leaders to drive adoption.
- Technical Excellence: Serve as an individual contributor and technical reference point for modeling—setting best-practice standards for model architecture, validation, and productionization.
What You Bring
Must-Have
- 5+ years of dedicated Data Science experience, with a proven track record of bringing predictive models into production and measuring commercial business impact.
- Advanced proficiency in Python and SQL for handling both large structured and unstructured datasets.
- Strong background in statistical modeling, machine learning algorithms, and rigorous model evaluation protocols.
- Direct experience building at least one of the following: Customer Lifetime Value (CLV), churn prediction, lead scoring, or propensity models.
- Excellent ability to translate complex technical output into clear executive strategies and partner effectively with engineers and business stakeholders.
Nice-to-Have Qualifications
- Hands-on experience with Google Cloud Platform (BigQuery, Vertex AI, Cloud Functions).
- Expertise in A/B testing methodology, uplift modeling, and causal analysis.
- Experience integrating model outputs with Salesforce or similar CRM environments.
- Experience deploying Large Language Models (LLMs) for unstructured text and sentiment analysis.
What We Offer
- Competitive Salary + Performance-based discretionary bonus.
- Other Benefits: Private health insurance, flexible remuneration, and a day off on your birthday.
- Career Progression: A well-structured career path with clear opportunities for growth.
- Vibrant Culture: Join a collaborative environment in our Madrid office where Data Engineers, Data Scientists, Analytics Engineers, and Analysts work as one.
- Continuous Learning: Personal development through certifications and specialized training.
#LI-JC1
#LI-HYBRID
About us
Ebury delivers sophisticated, integrated solutions — business accounts, hedging, and financing — on a single platform with a seamless workflow. Our success is built on a simple premise and singular purpose: To help businesses operate and scale globally.
Since its founding in 2009, Ebury has always been a fast-growing leader in fintech. Today, we bring together 2000+ Eburians across nearly 70 cities and we’re always looking to add to our team.
At the heart of our offering is a proprietary platform, purpose-built to help businesses seamlessly streamline and manage global cash flow. We focus on continuous product evolution and innovation to build the infrastructure for borderless growth and help our clients scale at every stage.
The opportunities at Ebury are as diverse as our people, ranging from business development to engineering roles across our tech pillars.
We believe in inclusion. We stand against discrimination in all forms and are against the intolerance of differences that makes us a modern and successful organisation. At Ebury, you can be whoever you want to be and still feel a sense of belonging no matter your story.
Important Security Notice for Job Applicants:
Ebury only accepts applications via official Ebury channels. We will only contact you from an @ebury.com domain. Always check the emails you receive from us, and note that we will never request payment for any part of the recruitment process. Stay safe and report suspicious activity.
Notice to Recruitment Agencies and Search Firms:
Ebury does not accept unsolicited resumes, CVs, or candidate profiles from recruitment agencies or search firms without signed written Ebury recruitment terms in place for a specific role. Any unsolicited applications will be considered the sole property of Ebury. Ebury will not be responsible or liable for any placement fees or costs associated with unagreed candidate submissions or subsequent hires.
AI Transparency Statement:
Ebury uses Artificial Intelligence (AI) and automated tools to help streamline certain parts of our recruitment process, however, these tools are strictly for administrative efficiency. All hiring decisions, including application reviews, shortlisting, and final selections are evaluated and conducted by human talent acquisition professionals and hiring managers.
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Madrid
Senior Data Scientist Location: Madrid (Hybrid: 4 days office / 1 day WFH) Stack: Python, SQL, GCP (BigQuery, AI Platform, Cloud Functions), ML Libraries, CRM (Salesforce), LLMs.
More source context
#LI-JC1 #LI-HYBRID About us
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