Clarivate is looking to expand its data science team with a talented Senior Data Scientist to join us in Europe, on a hybrid model, from our Barcelona Office.
If you're passionate about shaping the future of knowledge search and discovery, we'd love to have you on board!
By working with us, you'll have the opportunity to develop cutting-edge machine learning and AI models to enhance the user experience of customers in the intellectual property & science domains. Our ultimate goal? Empowering researchers and professionals to unlock the full potential of their work, discover new insights and make a lasting impact on the world.
About You – experience, education, skills, and accomplishments
Master's degree in Computer Science, Data Science, Machine Learning, Engineering, or a related field preferred.
At least 5 years of professional experience in Machine Learning, Artificial Intelligence, Natural Language Processing, Data Science, or a related technical field, including the delivery of AI/ML/NLP solutions in production environments.
At least 3 years of hands-on experience across the machine learning lifecycle, including data acquisition, preprocessing, feature engineering, model development, validation, deployment, monitoring, and retraining for tasks such as classification, regression, clustering, and ranking.
At least 5 years of Python development experience, including building, testing, and deploying production-grade applications, data pipelines, or machine learning solutions.
At least 2 years of experience with cloud-based ML platforms (AWS, Google Cloud, and/or Azure) and MLOps technologies such as Docker and MLflow in enterprise or production environments.
At least 3 years of experience working in Agile software development environments, including code reviews, version control, automated testing, CI/CD practices, and delivering solutions in situations with evolving requirements and ambiguity
It would be great if you had. . . .
Strong problem-solving skills and a passion for staying current with advancements in machine learning, NLP, generative AI, and related technologies.
Excellent communication and presentation skills, with the ability to influence decision-making across technical and non-technical audiences.
Demonstrated ability to collaborate effectively with peers, present technical work, incorporate feedback, and drive continuous improvement.
What will you be doing in this role?
Identify strategic information needs of internal or external clients and translate these into effective, performant and impactful AI solutions.
Work in collaboration with other Data Scientists to create solutions that support professional, highly skilled decision makers in their innovation workflow.
Explore existing data for insights and recommend additional sources of data for improvements.
Perform exploratory analysis to uncover insights and identify opportunities for innovation.
Design and execute experiments to validate hypotheses and measure business impact.
Collaborate with engineering teams to ensure successful integration and deployment of solutions into production environments.
Communicate findings, recommendations, and technical concepts clearly to diverse audiences.
Contribute to the adoption of best practices in machine learning, experimentation, and model evaluation.
Product you will be developing
We are mainly using Python for model and code development, you can use whatever IDE & tools you like best (we have people using PyCharm, Databricks, Jupyter Notebook, …), model deployment is on either AWS or Google Cloud depending on the internal customer’s preference, projects are assigned on a quarterly basis but most span multiple quarters up to a year and a half. Over the past 2 decades, we’ve covered everything from UX experiments, decision support systems, search engines, information extraction, machine learning, generative AI – you name it. So the work you’ll be doing will be quite varied and allow you to expand and apply your knowledge on all the latest developments in the AI/ML/MLP domains.
About the team
Within a larger Data Science, Search and Content team of about 100 people (of which 40+ are Data Scientists and ML Engineers), we are a team of 8 Data Scientists located in Belgium, Spain & the US that work predominantly on IP data and products (trademarks, patents and case law for both) though we do the occasional sidestep to other domains as well. We interact with Clarivate’s Product, Sales, Marketing and Operations divisions on a regular basis to make sure we deliver optimal internal and external customer value. With multiple Principal Data Scientists in the team, we can offer excellent support to help you grow in your role. Also, while a lot of work we do originates from customer requests, we also do a fair share of explorative and POC work to help our internal customers understand the business value of the latest technologies.
Hours of Work
This is a permanent full-time contract, we work regular CET hours in Europe, in a hybrid model, with flexibility to accommodate a healthy work-life balance.
At Clarivate, we are committed to providing equal employment opportunities for all qualified persons with respect to hiring, compensation, promotion, training, and other terms, conditions, and privileges of employment. We comply with applicable laws and regulations governing non-discrimination in all locations.
Skills Required
- Master's degree in Computer Science, Data Science, Machine Learning, Engineering, or related field
- At least 5 years professional experience in Machine Learning, AI, NLP, Data Science or related technical field, including delivery of solutions to production
- At least 3 years hands-on experience across the ML lifecycle: data acquisition, preprocessing, feature engineering, model development, validation, deployment, monitoring, retraining
- At least 5 years of Python development experience building, testing, and deploying production-grade applications or ML solutions
- At least 2 years experience with cloud-based ML platforms (AWS, Google Cloud, and/or Azure) and MLOps technologies such as Docker and MLflow in production
- At least 3 years experience working in Agile environments, including code reviews, version control, automated testing, and CI/CD practices
- Strong problem-solving skills and up-to-date knowledge of ML, NLP, and generative AI
- Excellent communication and presentation skills for technical and non-technical audiences
- Demonstrated ability to collaborate, incorporate feedback, and drive continuous improvement
Clarivate Analytics Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Clarivate Analytics and has not been reviewed or approved by Clarivate Analytics.
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Strong & Reliable Incentives — Incentives in sales and select product/tech roles provide meaningful upside for high performers, with commission structures boosting total compensation when targets are exceeded. Role-linked variable pay is a clear strength in revenue-driving positions.
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Leave & Time Off Breadth — PTO is ample in the U.S., with paid parental leave available, making time-off policies a notable part of the package. Generous vacation and holiday allowances stand out as positives.
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Wellbeing & Lifestyle Benefits — Hybrid and remote options are common and paired with a formal wellbeing framework and EAP, supporting work–life balance. Core medical, dental, and vision coverage is broadly available in the U.S., reinforcing everyday wellbeing support.
Clarivate Analytics Insights
What We Do
Clarivate™ is a global leader in providing solutions to accelerate the lifecycle of innovation. Our bold mission is to help customers solve some of the world’s most complex problems by providing actionable information and insights that reduce the time from new ideas to life-changing inventions in the areas of science and intellectual property. We help customers discover, protect and commercialize their inventions using our trusted subscription and technology-based solutions coupled with deep domain expertise. For more information, please visit clarivate.com.
