C
Cint
Senior Data Scientist (AI & Synthetic Intelligence)
Skills
SQL QueriesDeep LearningPythonData ScienceDatabricksMachine LearningAIPySparkMarket Research
2 months ago
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Important information
Contract type:
Permanent
Location:
Barcelona, Spain
Work mode:
Onsite
Published on:
29 August 2026
What they need
- As a Senior Data Scientist at Cint, you will play a pivotal role in developing next-generation AI solutions that power our product portfolio. Collaborating closely with Product and Engineering teams, you will bridge the gap between traditional research data and synthetic intelligence
- You will focus on the research, validation, and delivery of models—including Large Language Models (LLMs)—that augment high-quality human signals across the Cint Exchange. This role involves advanced data mining, robust data validation, and the development of sophisticated statistical and machine learning methodologies
- Lead the research, discovery, and development of machine learning models - specifically focused on synthetic row generation, open-ended text generation, and data augmentation
- Design and drive advanced statistical methods and complex experiments to validate LLM performance and synthetic modeling hypotheses
- Develop logic for on-demand and dynamic boosting capabilities, collaborating with Engineering to integrate these models into Cint Exchange fielding workflows
- Design and refine sophisticated profiling taxonomies, leveraging large-scale datasets to create syndicated audiences
- Independently manage complex project planning, development, and maintenance end-to-end with minimal supervision
- Partner with Product, Engineering and Strategy teams to align technical AI delivery with business goals, ensuring a seamless transition from MVP to scaled integration
- Create clear, effective prototypes and deliverables that explain and defend complex Generative AI concepts to both technical and non-technical audiences- The ideal candidate can independently research, develop, and maintain high-impact solutions that align Cint’s AI capabilities with market research trends, directly influencing strategic decisions for Cint’s proprietary synthetic data platform
- Advanced knowledge of statistical techniques: hypothesis testing, sampling theory, experimental design, and causal inference
- Expert proficiency in Python (DS/ML stack) and experience with frameworks used for LLM development and fine-tuning
- Deep understanding of Generative AI and LLMs, particularly for applications in text generation and data synthesis
- Strong knowledge of a variety of ML techniques (e.g., clustering, regression, neural networks, etc.) and their real-world trade-offs
- Minimum 5 years of experience in a Data Science capacity, with a track record of leading complex projects
- Advanced SQL skills and experience working with large-scale databases
- Ability to research and adopt new methods while mentoring junior colleagues on their application
- A Master’s degree (or equivalent) in Statistics, Data Science, or a related quantitative field
- Excellent written and verbal communication skills, with the ability to explain and defend complex AI concepts to non-experts
- Highly accountable self-starter and quick learner, consistently motivated to deliver high-quality, impactful results
- Strong data-driven mindset with the ability to translate abstract business requests into actionable AI initiatives and solutions
- Direct experience with Synthetic Data Generation techniques and the evaluation of synthetic data quality/utility
- Experience with Prompt Engineering, RAG (Retrieval-Augmented Generation), or fine-tuning open-source LLMs for open-end generation
- Experience with probabilistic modeling, or advanced profiling techniques
- Familiarity with online market research or survey exchange platforms
- Experience using Databricks, Spark, or PySpark for large-scale workflows
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