Overview
We are looking for motivated and talented Data Scientists to join our Data Science team at Prometeia. You will have the opportunity to work on complex and innovative projects, using cutting-edge tools and collaborating with high-level professionals to face the challenges of the global financial market. If you are looking for a challenging environment where your curiosity and creativity can make a difference, this is the right opportunity for you.
RESPONSIBILITIES
* Analyze large volumes of structured and unstructured data in banking and insurance, identifying useful patterns and insights to support business processes and decisions.
* Design, develop and implement advanced machine learning, data mining and statistical models to solve complex problems in finance.
* Collaborate in cross-functional teams to define project requirements and propose innovative solutions.
* Contribute to the development of proprietary frameworks and algorithms to improve the performance of solutions offered to our clients.
* Present complex results to technical and non-technical stakeholders, making analysis results understandable.
* Support customers in implementing solutions, ensuring knowledge transfer and customization.
* Coordinate project activities effectively with internal and external clients.
REQUIREMENTS
* Proven experience in data wrangling, cleaning, exploration and feature extraction.
* Proven experience in processing and modeling with structured data.
* Excellent knowledge of Python and the most important analytical libraries (pandas, numpy, sklearn, shap).
* Experience with code versioning systems (git).
* Knowledge of statistics, Machine Learning and major clustering, classification and regression algorithms, with special focus on supervised learning models.
* Advanced knowledge of statistical techniques, predictive modeling with the application of Machine Learning models, and data analysis.
* Knowledge of at least one major cloud environment (Azure, GCP, AWS).
* Ability to creatively solve complex problems and propose innovative solutions.
* Ability to rapidly prototype ideas / solutions with a critical / experimental approach to data analysis.
* Good communication skills and ability to translate technical results into insights for non-experts, and meticulous attention to detail.
* Aptitude for teamwork, with strong orientation toward interdisciplinary collaboration.
NICE TO HAVE
* Experience in Pyspark development and working in big data platforms.
* Experience in processing and modeling with unstructured data (Text Analytics, Computer Vision).
* Preferred experience in a consultancy company.
EDUCATION AND EXPERIENCE
* Master's degree or PhD with excellent grades in Data Science, Statistics, Physics, Mathematics, Computer Science, or related fields
* At least 3-5 years of professional experience, ideally in the financial or insurance sector.
LOCATION & WHAT WE OFFER
Our history, as well as our future, is based on the value of our people. Prometeia’s biggest investment is in our people and it concerns every aspect of professional life. We call it “Total Compensation” and it is made of three elements: Compensation (fixed and variable), a Welfare Plan active since 2015, and Benefits, including all initiatives for the well-being of our people.
COMPENSATION, WELFARE & BENEFIT
Remote working is an organizational method based on trust. It provides benefits in terms of work/life balance, environmental impact, and autonomy and empowerment of people.
REMOTE WORKING
Our evaluation system is based on the full enhancement of our people and on continuous dialogue for regular growth. The process is fully digitalized to improve both individual and company growth.
TRAINING
Prometeia provides continuous training, with an average of 11 days per year, including on-the-job training and market exposure.
IMPACT & COMMUNITY
We promote diversity and equal opportunities. Our headquarters in Bologna has Leed Gold Certification for sustainability, and we align with the UN SDGs through ongoing initiatives.
Seniority level: Associate. Employment type: Full-time. Job function: Information Technology. Industries: Business Consulting and Services.
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