Senior Data Scientist

Dublin, Ireland / Remote

Deanta is looking to recruit a Senior Data Scientist with a strong intellectual curiosity, and a passion for achieving practical business impact. Skills in quantitative analysis, problem definition and Natural Language Processing (NLP) will be essential and experience in the publishing industry is highly desirable.

More details
Careers | Deanta Publishing Solutions
Careers | Deanta Publishing Solutions
Careers | Deanta Publishing Solutions
Careers | Deanta Publishing Solutions
Careers | Deanta Publishing Solutions


We’re on the lookout for a Senior Data Scientist who has great social skills, initiative, and integrity. Ideal candidates will have exceptional business judgment and quantitative analytic ability. Our Senior Data Scientist will play a key part of the Deanta strategy and will work closely with our proprietary project management and content editing system called Lanstad.

Job responsibilities include:

  • Apply advanced data science, AI and machine learning techniques to solve challenging real-world problems in the areas of system performance and linguistic programming.
  • Engage in on-going learning to identify and develop valuable new sources of data and machine learning technologies with applicability to Deanta’s product and solution roadmap.
  • Work with customer-facing platforms and teams to understand and meet the needs of Deanta’s clients and end-users.
  • Collaborate with product development teams and contribute to product design, development, delivery and support.
  • Develop robust, scalable and maintainable machine learning models to answer business problems against large data sets.
  • Utilise statistical natural language processing to mine unstructured data, and create insights; analyse and model structured data using advanced statistical methods and implement algorithms and software needed to perform analyses.
  • Build document clustering, topic analysis, topic modelling, text classification, named entity recognition, sentiment analysis, and part-of-speech tagging methods for unstructured and semi- structured data.
  • Perform elements of data cleaning, feature selection and feature engineering and organise experiments in conjunction with best practices.
  • Creating dynamic decision making processes and trying to predict future events from the historical data.
  • Benchmark, apply, and test algorithms against success metrics.
  • Interpret the results in terms of relating those metrics to the business process.
  • Work with development teams to ensure models can be implemented as part of a delivered solution replicable across many clients.
  • Visualise data to tell compelling stories.
  • Leading the planning and implementation of data science projects.
  • Coordinating project staff.


  • Masters degree in computer science, mathematics, statistics, or a related technical discipline.
  • 2+ years of experience in machine learning, data science, or applied scientist roles.
  • A proven track record of designing and implementing successful machine learning solutions for real-world problems.
  • Experienced with NLP.
  • Excellent programming skills in Python.
  • Advanced working knowledge of machine learning modelling/computation frameworks such as scikit-learn, spacy, TensorFlow, NLTK.
  • Demonstrated ability to work independently, rapidly prototyping and testing new ideas.
  • Excellent communication skills to present, explain, and articulate technical works to technical colleagues as well as non-technical audience.

Apply now

If you have a passion for technology and innovation and are looking for a challenging and rewarding career then we look forward to hearing from you – just fill in the application below:

Case Study

Employee 1

"Working as a project manager at Deanta gives me a great opportunity to combine my academic and professional backgrounds in a way that I couldn’t do elsewhere. The most satisfying aspect of the role is arriving at the finished product - and we have very high standards in Deanta - and sending on the final deliverables for both print and online publication to a very satisfied client."

Case Study

Employee 2

"I get a kick out of meeting deadlines, but the most rewarding part of my job is when an author has a copy of their book in their hands and sends us an e-mail because they are really happy with the finished product. On more than one occasion, I have even received a card to say thank you in the post! It’s also very satisfying knowing that we have made the production process smooth for our clients."

Case Study

Employee 3

"I love helping people. If publishers and authors are happy with the results we achieve, that makes me happy. I have a deep respect for the work of academics, especially scientists, so facilitating the dissemination of the fruits of their labour is a very worthwhile career in my eyes."