Data Science/Analyst Intern working with risk analytics and data science teams at Credibly. Engaging in projects that leverage advanced analytics and statistical techniques for business growth.
About the role
- Data Scientist at Mundiale focused on improving brand-consumer interactions using advanced technology. Collaborate with engineers and product teams in analytical solutions and predictive models.
Responsibilities
- Translate technical results into clear, actionable business insights.
- Conduct systematic experiments and evaluate model performance using appropriate metrics.
- Apply data augmentation and balancing techniques to optimize model generalization.
- Create visualizations and statistical analyses (distributions, co-occurrences, n-grams, embeddings).
- Collaborate with Machine Learning engineers and product teams to prototype analytical solutions and predictive models.
Requirements
- Strong educational background in Statistics, Data Science, or a related field.
- Experience with supervised and unsupervised modeling.
- Knowledge of applied NLP and semantic representation techniques (embeddings, vectorization, dimensionality reduction).
- Familiarity with LLMs and RAG architectures.
- Experience with Python, Pandas, Scikit-learn, and visualization libraries (Matplotlib, Seaborn, Plotly).
- Preferred qualifications:
- Experience with experimentation and prototyping of PoCs (proofs of concept).
- Knowledge of model deployment and versioning frameworks (MLflow, Kubeflow, etc.).
- Interest in applied AI for products and automation of conversational flows.
Benefits
- Flexible Benefit (choose how to use it according to your needs: culture, transportation app, subscriptions, gym, meals, etc.)
- Unimed Unipart Health Plan
- Career development track
- Hybrid work
- Day Off
- Short Friday
- Collaborative and dynamic work environment.
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Senior Data Scientist leading data science initiatives impacting global operations across various business units. Collaborating with cross - functional teams to architect scalable machine learning solutions in cloud environments.
Lead Data Scientist building GenAI - driven products and ML solutions for S&P Global. Mentoring team members and delivering high - impact projects in a global environment.
Data Scientist in Digital Transformation team at Lavazza implementing machine learning models and managing model lifecycle within Agile squads. Focusing on solving real business problems.
Data Scientist enhancing Sicredi's data pipeline and generating actionable insights across credit sectors. Collaborating closely with data engineers and analysts to improve decision - making.
Data Scientist role at Airbus developing AI/Data Science solutions for aircraft systems. Focused on value creation and collaboration with engineering teams for embedded computer vision applications.
Data Scientist II using data science techniques for actionable insights. Working with cross - functional teams to resolve data issues and innovate analytical solutions.
Data specialist responsible for data analysis and machine learning solutions at Azul. Collaborating with teams and implementing models within Snowflake platform.
Lead Data Scientist leveraging datasets to build analytics tools for audit practitioners in an inclusive startup environment. Collaborate with teams to improve operational efficiencies and data insights.
Working Student at Fraunhofer Institute for Integrated Circuits IIS developing AI solutions in Data Science and NLP. Focusing on innovative applications and cutting - edge technologies in generative AI and machine learning.