PJoin to apply for the strongDATA SCIENTIST - Sr Analyst/Specialist /strong role at strongPrometeia /strong /ppContinue with Google Continue with Google /ppJoin to apply for the strongDATA SCIENTIST - Sr Analyst/Specialist /strong role at strongPrometeia /strong /ppGet AI-powered advice on this job and more exclusive features. /ph3Sign in to access AI-powered advices /h3pContinue with Google Continue with Google /ppContinue with Google Continue with Google /ppContinue with Google Continue with Google /ppContinue with Google Continue with Google /ppContinue with Google Continue with Google /ppContinue with Google Continue with Google /ppDirect message the job poster from Prometeia /ppAre you curious and ready to accept a new challenge in your career? Are you eager to join a dynamic company and bring innovation through your work and skills? /ppPrometeia offers you opportunities for growth and training in a Group with over 1000 professionals working for more than 500 clients in 20 countries around the world. /ppWe are looking for motivated and talented Data Scientists to join our Data Science team. 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. /ppRESPONSIBILITIES: /pp● Analyze large volumes of structured and unstructured data in banking and insurance, identifying useful patterns and insights to support business processes and decisions. /pp● Design, develop and implement advanced machine learning, data mining and statistical models to solve complex problems in finance. /pp● Collaborate in cross-functional teams to define project requirements and propose innovative solutions. /pp● Contribute to the development of proprietary frameworks and algorithms to improve the performance of solutions offered to our clients. /pp● Present complex results to technical and non-technical stakeholders, making analysis results understandable. /pp● Support customers in implementing solutions, ensuring knowledge transfer and customization. /pp● Coordinate project activities effectively with internal and external clients. /ppREQUIREMENTS: /pp● Proven experience in data wrangling, cleaning, exploration and feature extraction. /pp● Proven experience in processing and modeling with structured data. /pp● Excellent knowledge of Python and the most important analytical libraries (pandas, numpy, sklearn, shap). /pp● Experience with code versioning systems (git). /pp● Knowledge of statistics, Machine Learning and major clustering, classification and regression algorithms, with special focus on supervised learning models. /pp● Advanced knowledge of statistical techniques, predictive modeling with the application of Machine Learning models, and data analysis. /pp● Knowledge of at least one major cloud environment (Azure, GCP, AWS). /pp● Ability to creatively solve complex problems and propose innovative solutions. /pp● Ability to rapidly prototype ideas/solutions with a critical/experimental approach to data analysis. /pp● Good communication skills and ability to translate technical results into insights for non-experts, and meticulous attention to detail. /pp● Aptitude for teamwork, with strong orientation toward interdisciplinary collaboration. /ppNICE TO HAVE: /pp● Experience in Pyspark development and working in big data platforms. /pp● Experience in processing and modeling with unstructured data (Text Analytics, Computer Vision). /pp● Preferred experience in a consultancy company. /ppEDUCATION AND EXPERIENCE: /pp● Master's degree or PhD with excellent grades in Data Science, Statistics, Physics, Mathematics, Computer Science, or related fields /pp● At least 3-5 years of professional experience, ideally in the financial or insurance sector. /ppLOCATION: /ppWHAT WE OFFER: /ppCOMPENSATION, WELFARE BENEFIT /ppOur 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, consisting of a fixed and a variable component, a Welfare Plan active since 2015 –we were among the first companies in Italy to introduce it–, and Benefits, including all initiatives for the well-being of our people. /ppREMOTE WORKING /ppFlexibility is an intrinsic value of our way of working. In Prometeia, remote working is an organizational method based on trust. It results in benefits in terms of work/life balance, impact on the environment and optimization of company results through autonomy and empowerment of people. /ppPEOPLE PROGRAM /ppOur evaluation system is based on the full enhancement of our people and on continuous dialogue as a stimulus for regular, mutual professional and personal growth. Within the projects, several moments are dedicated to transparent discussions between managers and team members. This allows for reciprocal and prompt feedback. The process is fully digitalized and aimed at continuously improving the strategic growth of both the individual and the company. /ppTRAINING /ppPrometeia means continuous training. We provide an average of 11 days of training per year to our people, in person and online. We pay specific attention to younger colleagues, the protagonists of dedicated growth programs, and to the continuous sharing and internal transfer of know-how and skills. On-the-job training is also important and is made of immediate and direct confrontation with the market. /ppWIN/WIN POLICY /ppIf you are one of our employees and you recommend a person who is later hired, you are entitled to a financial bonus! This is an important opportunity to contribute to the growth of Prometeia as a whole, by attracting acknowledged market professionals and new tech talents. /ppWe have completely digitalized the management of our physical and virtual environments through the dedicated app Pr(Home)teia. Access to the office, remote working, workstations, meeting rooms, carpooling... everything is just a click away. /ppCOMMUNITY /ppOur Community is highly diverse, as are the skills of the people who are part of it and who share its values, and the individuals and organizations directly or indirectly involved in our activities. Clients, People of the Group, Alumni, Institutions, Academia, non-profit entities we actively cooperate with are stakeholders representing a great value for us in terms of trust and collaboration. /ppDIVERSITY /ppWe promote and respect equal opportunities and consider differences as a value. Diversity Inclusion are fundamental values: from the recruitment phase to everyday life, promoted also through dedicated training moments to develop individual sensitivities and uniqueness. /ppIMPACT /ppWe responsibly take an active role towards the environment, territories and communities we operate in. Our Headquarter in Bologna has obtained the Leed Gold Certification, one of the highest awards recognizing the efficiency of the building in terms of energy and water savings, CO2 emissions reduction, and improvement of the ecological quality of interiors, materials and resources. In the Sustainability Report we outline the results achieved within the 17 Sustainable Development Goals (SDGs) of the 2030 Agenda drafted by the UN in 2016, that we have been supporting since 2020. /ph3Seniority level /h3ullih3Seniority level /h3Associate /li /ulh3Employment type /h3ullih3Employment type /h3Full-time /li /ulh3Job function /h3ullih3Job function /h3Information Technology /lilih3Industries /h3Business Consulting and Services /li /ulpReferrals increase your chances of interviewing at Prometeia by 2x /ph3Sign in to set job alerts for “Data Scientist” roles. /h3pContinue with Google Continue with Google /ppContinue with Google Continue with Google /ph3Software Engineer Associate - MILANO (DIG) /h3h3Software Engineer for Next-Gen Payment Solutions /h3h3Software Engineer - Python - Container Images /h3h3Distinguished Engineer - Machine Learning (VP level) /h3h3Freelance Software Developer (Ruby) - AI Trainer /h3h3Antifraud Advanced Analytics Data Scientist /h3h3Full Stack Developer (React/Python) - TELECOMMUNICATION /h3h3Python and Kubernetes Software Engineer - Data, AI/ML Analytics /h3pWe’re unlocking community knowledge in a new way. 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