About the job


Works with data scientist, data engineer and data architect to automatize, optimize and scale data products to ensure the industrialization and the performance of algorithms.


  • Works with stakeholders to formulate code approaches to solve problems using algorithms and data sources in context of customer, engineering, and business needs.
  • Will use data exploration techniques to discover new opportunities or to find the best performance.
  • Will interpret the results of analyses, validate approaches, and learn to monitor, analyse, and iterate to continuously improve and ensure the data product are scalable.
  • Will engage with stakeholders to produce clear, compelling, and actionable insights that influence product and service improvements that will impact customers.
  • Will also engage in the peer review process and act on feedback while learning innovative methods, algorithms, and tools to increase the impact and applicability of the data product.
  • Will participate together with the DevOps team in choosing the best operational architecture.
  • Will monitor the performance of ML models and implement the best technological solution within the operational architecture.
  • Will have a strong relationship with the infrastructure team and develop using HTTP API logic in frameworks such as Lambda architecture.



  • 5+ years of engineering experience using large data systems on SQL, PySpark, Spark, etc.
  • 5+ years of experience using one or more programming or scripting language like Python, Scala, PySpark or C# to work with data.
  • 5+ years of experience using tools like Python, R, MATLAB, AMPL, SAS, and other relevant data science tools/environments. (Jupyter Notebook)
  • 5+ years of experience developing AI and ML pipelines for continuous operation, feedback and monitoring of ML models leveraging best practices from the CI/CD automation; and DevOps principles
  • 2+ years of prior experience implementing HTTP REST APIs.
  • 2+ years of experience working in Azure Cloud
  • Be familiar with ML algorithms, AI use cases and applications.
  • Have knowledge about data engineering concepts, tools and automation processes (DataOps) since data pipelines and architectures provide the base for building AI solutions as all-in-one Databricks


Skills and Competencies:

  • Behavioural skills:
  • Strong collaboration skills
  • Objective Oriented
  • Accountable; takes ownership and pride in their work
  • Flexibility and adaptation to changing environments.
  • Ability to work in an agile scrum project team
  • Customer Orientation.
  • Complex problem-solving and analytical skills
  • Strong written and verbal communication skills
  • Be able to explain data product process to software developers
  • Continuous improvement and creativity.
  • Passion to learn world class techniques and tools.
  • Ability to multi-task, prioritize and be detail-oriented
  • Other requirements:
  • Degree in Computer Science, Statistics, Mathematics, Economics, or similar.
  • Master in Artificial Intelligence will be preferred.
  • Fluent written and spoken English. (Level C1)
  • Knowledge of the insurance business and its business processes in all its areas (nice to have)


Modalità di lavoro: ibrida Рufficio Torino o Milano + 12gg di smartworking/mese

La ricerca √® rivolta ai candidati ambosessi (l.903/77). Ti preghiamo di leggere l’Informatica Privacy ai sensi dell’Art. 13 del Regolamento (UE) 2016/679 sulla protezione dei dati (GDPR).

Tagged as: C++, MATLAB, PySpark, Python

Print Job Listing
We use cookies to improve your experience on our website. By browsing this website, you agree to our use of cookies.

Sign in

Sign Up

Forgot Password

Job Quick Search