Big Data Expert

Viceversa – FinTech Growth PlatformViceversa is an innovative fintech company supported by international investors that aims to become the financial and operational partner for the next generation of digital businesses.Viceversa built a powerful growth platform that boosts businesses at the pace they want with equity‑free investments and data‑driven insights. We provide flexible growth capital from €10K to €5M for digital businesses within three days and growth analytics that allow companies to collect, visualize, and analyze all data in one place to make better business decisions.Viceversa envisions a new way of growth based on transparency and technology to support companies in a sustainable and ethical way. We are on a journey to revamp the European fintech landscape. Are you with us?Main responsibilitiesLearn and contribute to the development and improvement of our forecasting models for financial and business performance analysis.Assist in designing and implementing Generative AI (GenAI) solutions, focusing on AI agents that enhance our decision‑making processes.Support the optimization and evaluation of our machine learning models, ensuring accuracy and reliability.Work with large datasets, extracting insights to enhance our predictive analytics and risk assessment capabilities.Collaborate with the Data Engineering team to ensure efficient data pipelines and ETL processes for AI/ML applications.Engage with the Tech and Product teams to integrate AI‑powered solutions into our platform.Work closely with the Portfolio Team to translate business needs into actionable AI solutions.Who we are looking forAcademic background in Data Science, Computer Science, Mathematics, Statistics, or a related field.Some experience (academic or professional) in working with forecasting models, ML, and AI.Curious and strong analytical mindset, with the ability to tackle complex problems.Passion for Generative AI and AI agents, and eager to explore their application in fintech.A great team player with strong collaboration skills.Required SkillsProficiency in Python and its data science ecosystem (Pandas, NumPy, Scikit‑learn, TensorFlow/PyTorch, etc.).Knowledge of time‑series forecasting models (ARIMA, Prophet, LSTMs, etc.).Familiarity with Generative AI techniques and frameworks (e.g., LangChain, OpenAI, Hugging Face models).Strong understanding of SQL and ability to work with structured data.Basic understanding of Google Cloud Platform (GCP) and cloud‑based AI solutions.Nice to HaveKnowledge of BI tools (e.g., Data Studio, Tableau, Power BI).Experience with financial data analysis or previous exposure to fintech.Hands‑on experience with LangChain, AI agents, or AutoGen frameworks.LocationThis position is for our Milan HQ.Terms and conditionsSalary range based on experience. Our HQ is in Milan, Italy, and we currently meet in the office three times per week.What we offerAn innovative, dynamic, young and friendly work environment (forget your suit and tie).Monthly meeting with the Founders to keep you updated on company progress.International work‑environment (right now, we have more than 10 nationalities).Ticket restaurant when you are working from the office.You will find a place where you can express your ideas and put them into action.Viceversa is an equal opportunity employer. We value diversity at our company and do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.Data Science Business Translator – Sr Analyst / SpecialistAre you curious, do you want to get involved, become part of a dynamic company and have the opportunity to innovate with your work and skills?Prometeia 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.Prometeia is seeking talented and motivated professionals with a passion for data science and a drive for innovation to join our Data Science team as Business Translator – Senior Analyst/Specialist, contributing to transformative projects in the banking and insurance sectors.Role and ResponsibilitiesAs a Business Translator, you will:Gather and analyze business requirements, ensuring a clear understanding of organizational goals and challenges to guide the design of AI solutions.Collaborate with data scientists and machine learning engineers to develop AI prototypes and applications, focusing on data understanding, cleaning, and integrating the prototype into business processes.Manage and coordinate complex projects, ensuring timely delivery and alignment with objectives.Translate complex technical findings into clear, actionable insights for both technical and non‑technical stakeholders.Coordinate project activities effectively with internal and external clients.Create compelling value propositions and the related business cases.Education and ExperienceRequired skills:Master’s degree in Economics, Engineering, Mathematics, Statistics, Physics, or another quantitative discipline.At least 3‑5 years of professional experience, ideally in the financial or insurance sector.Comprehensive understanding of machine learning fundamentals and key algorithms (clustering, classification, regression).Demonstrated experience in creating high‑quality presentations and documents tailored to diverse audiences.General knowledge in at least one data analysis programming language (e.g., Python, R, Matlab).Familiarity with key trends and topics in the banking and insurance sectors.Preferred skills:Familiarity with version control systems (e.g., Git).Experience in building business cases and evaluating project cost/benefit.Preferred experience in a consultancy company.Soft skillsA problem‑solver with a strong analytical mindset.Exceptional communication skills and meticulous attention to detail.A team player with excellent communication and collaboration skills.Passionate about process innovation and driven by curiosity to understand and optimize business processes.Location(Location details omitted – referenced in full listing)What We OfferCompensation, welfare & benefits: total compensation includes fixed and variable components, a welfare plan, and various benefits for wellbeing.Remote working: flexibility, autonomy, and empowerment allow a favourable work‑life balance.People program: continuous growth, digital processes, and mutual professional and personal development.Training: average of 11 days of training per year – both in‑person and online.Win‑win policy: referral bonus for successful hires.Digital workspace integration via Pr(ote)ia app.Community: diverse stakeholders, partners, alumni, and institutions collaborate for shared value.Diversity & inclusion: equal opportunities, training, and respect for differences.Impact: commitment to the environment, communities, and sustainability (Leed Gold Certification).Data Management Professional – Legal COOSistema premiante.HONOR – Retail Data Analysis InternWe are seeking a dynamic and result‑driven Retail Data Analysis Intern to join our team. The ideal candidate will be responsible for regional retail data and business analysis by supporting retail team in collecting and organizing various reports and materials, managing data dashboard setup and system maintenance to achieve final target.ResponsibilitiesResponsible for regional retail data and business analysis, updates, maintenance, and management.Responsible for the setup and maintenance of regional retail data dashboards, and the output of retail data standards and templates.Liaise with retail IT and maintain/refresh systems.Collect, compile, and organize project weekly reports, monthly reports, KPIs, project progress reports, and other various materials.QualificationsProficient in using Office, especially Excel and other daily office software, with a strong sensitivity to data and excellent data and spreadsheet processing skills.Proficient in English communication, can be used as a working language.Over 3 years of experience in data analysis.Diligent, steady, meticulous, and careful in work, striving for accuracy.Optimistic and cheerful, with good communication and coordination skills, a strong sense of professionalism, and team spirit.BenefitsGreat opportunities to make the role your own.Fast‑paced environment and great team spirit.Private medical insurance provided.At HONOR, we celebrate diversity & inclusion and are committed to build teams that represent a variety of backgrounds, perspectives, and skills. Please send your CV in English to ...Data Integrity & System Administrator – LIFE SCIENCERuolo: Data Integrity & System Administrator – LIFE SCIENCERequisitiTechnological challenges – Inspiring Togetherness – Sustainable commitmentData Ingestion & Quality Management Analyst20057 Vedano Al Lambro, Lombardia – Generali Employee Benefits – GEBGenerali is one of the largest global insurance and asset management providers. Established in 1831... (company overview omitted for brevity).The Data Ingestion & Quality Management Analyst will be responsible for ensuring effective governance, management, and continuous improvement of reinsurance data flows from GEB Network Partners, focusing primarily on operational data ingestion, quality validation, and automation of processes.Main accountabilities (non‑exhaustive list)1. Data Ingestion and Quality AssuranceManage and oversee the ingestion of all data flows from Network Partners, ensuring timely, accurate, and efficient processing.Conduct thorough quality checks and validations to ensure accuracy and integrity of the reinsurance data.Identify discrepancies, errors, and areas of improvement, proactively addressing issues to maintain high standards of data quality.Cooperate with internal stakeholders to ensure timely and smooth data ingestion and keep aligned on progress and issues, and mitigation actions.2. Continuous Improvement and AutomationCollaborate closely with IT teams to develop, implement, and maintain automated solutions for data ingestion and quality validation processes.Actively participate in process review sessions, providing insights and identifying opportunities to reduce manual tasks through digitization and automation.Contribute to defining requirements for enhancements to current data ingestion platforms and tools, ensuring alignment with operational objectives.Drive initiatives aimed at optimizing operational efficiency through continuous feedback and active cooperation with IT stakeholders.3. Network Partner SupportServe as a primary point of contact for Network Partners regarding data ingestion requirements, processes, system access, and technical support.Facilitate effective communication and collaboration between Network Partners and internal teams to ensure smooth and efficient data exchange processes.4. Other Related DutiesSupport internal and external audits related to reinsurance data processes and quality standards.Assist in developing internal tools aimed at streamlining departmental workflows and enhancing operational effectiveness.Additional QualificationsStrong computer literacy, particularly in Data Ingestion and Data analysis tools.Proactive mindset, capable of identifying improvement opportunities and driving automation initiatives.Detail‑oriented, with strong organizational skills and resilience in managing operational deadlines.Excellent interpersonal and communication skills, capable of effectively liaising with both technical (IT) and non‑technical stakeholders.4 years of experience in data management, data ingestion processes, or quality assurance.Experience collaborating with IT teams on automation projects or operational enhancements.Bachelor’s or Master’s degree in insurance, Business Administration, Information Systems, Mathematics, or related fields.Willingness to travel occasionally as required by business needs.Fluent in English; other languages are a plus.This recruitment deals with a permanent and full‑time position, based in Assago (close to Milan, Italy).Generali Employee Benefits is committed to promoting equal opportunities in employment. Candidates will receive equal treatment regardless of age, disability, gender reassignment, marital or civil partner status, pregnancy or maternity, race, color, nationality, ethnic or national origin, religion or belief, sex or sexual orientation.Generali Employee Benefits endeavours to contact candidates within 21 days of application. However, if you do not hear back after 3 weeks then please assume on this occasion, unfortunately, you have not been successful.Personal data collected will be strictly used for recruitment purpose only. All unsuccessful applications will be destroyed max. 3 months after this recruitment campaign closing.#J-18808-Ljbffr