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Consultor Junior Para Analytics Insight...

Consultor Junior Para Analytics Insight...

NielseniqBogotá, Bogotá, Distrito Capital, CO
Hace 3 días
Descripción del trabajo

Data Scientist – Capgemini Engineering (Colombia)

Role title : Data Scientist. At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world's most innovative companies unleash their potential. The role focuses on developing recommendation models and conducting market basket analysis.

Responsibilities :

  • Build and optimize data pipelines to support recommendation models and market basket analysis.
  • Engineer features and transform data for better model performance.
  • Develop and train machine learning models for recommendations and association rule mining.
  • Perform market basket analysis to identify product affinities and enhance cross‑selling opportunities.
  • Deploy, monitor, and maintain models in production environments, serving them in real‑time or via APIs.
  • Collaborate with MLOps and cloud teams to ensure secure and scalable solutions; Azure / Databricks experience is preferred.

Qualifications :

  • Experience with recommendation systems and market basket analysis.
  • Strong skills in Python and ML frameworks such as TensorFlow, PyTorch, and scikit‑learn.
  • Experience with cloud platforms (preferably Azure) and MLOps practices.
  • Proficient in data processing, model training, and deployment.

    • About Capgemini : We are a global business and technology transformation partner, helping organizations accelerate their digital and sustainable transition. With more than 340,000 team members in over 50 countries, Capgemini unlocks the value of technology to create tangible impact for enterprises and society.

    Data Science Manager – Blendis (Colombia)

    Blendis is a premier AI services provider focused on delivering data‑science solutions that drive tangible business outcomes. We are seeking a Data Science Manager to lead end‑to‑end model lifecycles, including scoring, dashboard development, and business reporting.

    Responsibilities :

  • Maintain model documentation and lead scoring and refresh meetings.
  • Optimize pipelines, dashboards, and perform ad‑hoc analysis.
  • Support multiple external vendors to ensure accurate and consistent analytics processes.

    • Qualifications :

  • 6+ years in data science or analytics.
  • Proficiency in Python, SQL, and dashboard tools.
  • Strong attention to detail and data validation.
  • Experience managing recurring processes and reporting.
  • Clear communication with cross‑functional teams.
  • Comfortable in ambiguous, fast‑moving environments.
  • Experience mentoring junior analysts or data scientists is a plus.

    • Data Science Analyst – USDS (USA)

    The US Data Science Excellence team seeks a Data Science Analyst I to research, design, and build major modeling innovations across our retail insurance products.

    Key Responsibilities :

  • Design and build gradient‑boosted decision tree models at large scale.
  • Research new modeling techniques for structured and unstructured data.
  • Own projects from research through proof of value and product ownership.
  • Implement models in Earnix and other platforms.
  • Adopt a transformational mindset to improve and automate processes.
  • Engage with the data science community and cross‑functional working groups.

    • Qualifications :

  • Experience building gradient‑boosted decision trees and model interrogation.
  • Strong coding experience in Python, LightGBM, Optuna, SHAP.
  • Good software practices : Git, code reviews, documentation.
  • Experience with EDA and data preparation for tree models.
  • Knowledge of Earnix or similar rating tools is a plus.
  • Excellent communication skills in English.
  • Ph.D. or master’s degree in a quantitative field is preferred.

    • Data Science Analyst – Colombia (USRM)

    We seek a talented analyst to develop pricing models, perform research, and bridge technical decisions with business implementation for usage‑based insurance.

    Key Responsibilities :

  • Build sophisticated pricing models for Liberty Mutual’s Personal Lines programs.
  • Coordinate filing and implementation of pricing programs.
  • Respond to state department questions about pricing models.
  • Inform business decisions through analytical research.
  • Develop solutions for rate‑to‑risk alignment and novel feature tests.
  • Stay up to date with data science best practices.

    • Qualifications :

  • Strong English communication skills.
  • Background in statistical learning and modeling software.
  • Programming and data manipulation skills.
  • Experience with insurance operations and rating systems.
  • Preferred knowledge of price modeling for auto or property insurance.
  • Educational background : Ph.D., master’s, or bachelor’s with relevant experience.

    • Data Science Analyst – Colombia (Model Automation & Production)

    As an Analyst in the Model Automation & Production team, you will develop predictive analytics, automate pipelines, and support model monitoring.

    Key Responsibilities :

  • Collaborate globally to solve business problems with predictive analytics.
  • Work with large structured and unstructured datasets to build models.
  • Automate and scale machine learning pipelines and monitor performance.
  • Communicate findings to stakeholders.
  • Deepen knowledge of insurance domain and technical expertise.

    • Qualifications :

  • Fluency in English and Spanish.
  • Bachelor’s or master’s in a quantitative field.
  • Strong foundation in data extraction, EDA, and predictive modelling.
  • Excellent communication skills.
  • Collaborative mindset and interpersonal skills.
  • Interest or experience in insurance or fintech.
  • Proficiency with Python, SQL, Git.

    • Data Science Specialist – Revenue Growth

    Seeking a specialist with strong SQL skills to support revenue growth initiatives.

    Analyst, Data Science and Analytics – Colombia

    We are launching a new global hub in Colombia and require talented data science analysts to shape a high‑impact function. The role focuses on predictive analytics, model deployment, and data‑science automation.

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    Consultor • Bogotá, Bogotá, Distrito Capital, CO