Intermediate Data Scientist
Intermediate Data Scientist
Vos responsabilités
Intermediate Data Scientist
As a Data Scientist, you will be responsible for participating in development, training, deployment and management of data quality monitoring models using ML and GenAI. The person should be an experienced data scientist and shall also have the mindset to keep improvement of the model development process. You will work autonomously and follow a continuous improvement approach, ensuring a high-quality code that adheres to our design, norms, and standards. You will be accountable for delivering solutions that meet both functional and non-functional requirements, taking into account the principles of Agile development.
Capital Markets IT involves technological solutions and systems used in financial markets for trading, investment, and related activities. This includes electronic trading platforms, risk management systems, market risk, counterparty risk, algorithmic trading, data analytics, and Regulatory measures. The use of advanced technologies like API’s, artificial intelligence and cloud solutions are also becoming increasingly prevalent in capital markets to enhance efficiency and decision-making processes.
Job Responsibilities :
- Identify and create relevant features from transaction data to improve model performance.
- Perform feature selection and dimensionality reduction to enhance model efficiency.
- Develop, train, and evaluate machine learning models using transaction data.
- Implement cross-validation and hyperparameter tuning to optimize model performance.
- Monitor model performance over time to detect and address issues such as data drift and model degradation.
- Implement model retraining and updating processes to maintain model accuracy and relevance.
- Develop and execute strategies to integrate Generative AI tools and techniques into transaction data monitoring processes, improving efficiency and reducing development time.
- Design tests and refining prompts for LLM to improve accuracy, reliability and efficiency.
- Identify opportunities to augment data science workflows using GenAI, enhancing model development, data analysis, and feature engineering capabilities.
- Collaborate with data engineers, software developers, and business analysts to ensure seamless integration of data quality monitoring processes.
- Work closely with domain experts to understand transaction data requirements and business rules.
- Effectively communicate data quality findings, model performance, and project progress to stakeholders.
- Provide actionable insights and recommendations to improve data quality and model performance.
- Maintain comprehensive documentation of data quality monitoring processes, machine learning models, and generative AI models and processes.
- Document data preprocessing steps, feature engineering techniques, and model evaluation results.
- Stay updated with the latest advancements in machine learning, generative AI, and data quality monitoring techniques.
- Experiment with new tools, technologies, and methodologies to enhance data quality monitoring and model performance.
Votre profil
Job Requirements:
- Candidates should have a minimum of 6 years’ experience in relevant activities
- At least Bachelor’s Degree in Computer Science, Information Technology, Programming & Systems Analysis, Science (Computer Studies) or related fields.
- Proficiency in languages such as Python, R, SQL, and Java or Scala.
- Strong understanding of statistical methods and concepts.
- Experience with data manipulation libraries (e.g., pandas, dplyr) and data analysis tools.
- Knowledge of machine learning algorithms and frameworks (e.g., scikit-learn, TensorFlow, PyTorch).
- Expertise in analyzing and forecasting time series data.
- Ability to create visualizations using tools like Matplotlib, Seaborn, ggplot2, or Tableau.
- Big Data Technologies: Familiarity with big data tools such as Hadoop, Spark, and distributed computing.
- Database Management: Experience with relational databases (e.g., MySQL, PostgreSQL) and NoSQL databases (e.g., MongoDB, Cassandra).
- Docker/Kubernetes, Kafka, Spark, Mongo DB
- Data Wrangling: Skills in cleaning, transforming, and preparing data for analysis.
- Knowledge on implementing ML and GenAI solutions AWS (Bedrock, SageMaker etc.)
- Experience in supporting capital market applications and trading systems, ideally within the dynamic landscape of Market Risk/Front Office operations with a commendable grasp of financial products (Treasury, FX, Credit, IRD, Bonds, RSF etc.)
- Experience in Business intelligence tools
- Experience in working with application monitoring and automation
- Experience in Banking environment, especially in Capital Market IT
À propos d'Antaes
Créée en 2007, Antaes est une société suisse de conseil en management et technologie classée dans le top 15 des sociétés de conseil en Suisse. Nous comptons plus de 300 ingénieurs expérimentés qui partagent notre passion.
Présents en Suisse, à Singapour, à Hong-Kong et en France, nous accompagnons nos clients suisses, et internationaux en intervenant dans les domaines suivants :
- Conseil en organisation et transformation
- Ingénierie Industrielle
- Management des systèmes d'Information
En rejoignant nos équipes vous découvrirez :
- Une équipe dynamique dans un esprit start-up
- Un accompagnement humain et un suivi de l’évolution de votre carrière
- Des challenges pour contribuer au développement de votre réseau
- Des événements : team building, meet-up, workshop, Winter Event …
-
Une entreprise certifiée @HappyAtWork et ayant une politique RSE engagée (médaille d’or Ecovadis2023)
Engineering Project Coordinator
To join our Life Sciences team in Vaud, we are looking for a Engineering Project Coordinator in the pharmaceutical sector.
The project :
- Act as the central point in the project coordination,
- Facilitate and manage the "project cockpit" activities,
- Liaise with project leads and core teams,
- Follow > anticipate > expedite > escalate,
- Consolidate documentation to deliver an integrated project reporting system
In charge of the key "project coordination" activities :
Collect data - prepare reporting and correspondence
- Centralizing - orchestrating flow of information,
- Keeping key indicators and registers up to date,
- Ensure visibility short term activities,
Control / monitoring / expediting
- Preparing / anticipating,
- Chasse due / overdue actions,
- Ensure the scheduling follow-up of the critical due actions,
- Prepare key project meeting and MoM for follow-up,
- Owns the short term activities tracking log,
- Facilitating timely resolutions of critical issues.
Biotech Process Expert
- You will be involved in the production of biological/biotechnological products
- You will also be responsible for the preparation and processing and GMP-compliant documentation of production processes, as well as assisting in the processing of deviations, change procedures and CAPAs.
- You will also be responsible for other tasks such as:
- Maintaining GMP status for devices (e.g. maintenance, calibration, qualification)
- Collaboration in cross-site teams on internal and external projects
- Creation and review of documents such as work instructions and reports
Chef de projet électricité
- Réaliser et suivre des projets neufs et de rénovation dans différents secteurs du bâtiment.
- Etablir les avants projets, les cahiers des charges, effectuer les appels d’offres et les réceptions en collaboration avec les exploitants.
- Garantir le bon dimensionnement des installations électriques.
- Effectuer un suivi administratif (planning, budget, reporting).
- Accompagner les bureaux externes et suivre les prestataires internes ou externes.
Ingénieur Automation
- Analyser les besoins et les risques,
- Définir le cahier des charges, les URS, la stratégie et le design,
- Entretenir la relation avec les fournisseurs,
- Piloter la réalisation, le suivi des FAT/SAT, la qualification validation, jusqu'au commissioning,
- Vérifier les programmations, les documentations...
- Avoir des conduites d’améliorations et de maintenances correctives.
Dessinateur - Projeteur en électricité industrielle
- Suivi des demandes de dessins électriques (en interne ou via des prestataires).
- Création/mise à jour de schémas électriques avec SEE Electrical Expert.
- Dessin de schémas de principe/pneumatiques avec AutoCAD.
- Mise à jour des plans d’infrastructure, sécurité et incendie.
- Gestion de l’environnement et des composants dans SEE Electrical Expert.
- Archivage rigoureux des documents selon les standards internes.
- Travail en lien avec les équipes projet et maintenance.
- Rédaction de cahiers des charges pour les sous-traitants.
Intermediate Data Scientist
Vos responsabilités
Intermediate Data Scientist
As a Data Scientist, you will be responsible for participating in development, training, deployment and management of data quality monitoring models using ML and GenAI. The person should be an experienced data scientist and shall also have the mindset to keep improvement of the model development process. You will work autonomously and follow a continuous improvement approach, ensuring a high-quality code that adheres to our design, norms, and standards. You will be accountable for delivering solutions that meet both functional and non-functional requirements, taking into account the principles of Agile development.
Capital Markets IT involves technological solutions and systems used in financial markets for trading, investment, and related activities. This includes electronic trading platforms, risk management systems, market risk, counterparty risk, algorithmic trading, data analytics, and Regulatory measures. The use of advanced technologies like API’s, artificial intelligence and cloud solutions are also becoming increasingly prevalent in capital markets to enhance efficiency and decision-making processes.
Job Responsibilities :
- Identify and create relevant features from transaction data to improve model performance.
- Perform feature selection and dimensionality reduction to enhance model efficiency.
- Develop, train, and evaluate machine learning models using transaction data.
- Implement cross-validation and hyperparameter tuning to optimize model performance.
- Monitor model performance over time to detect and address issues such as data drift and model degradation.
- Implement model retraining and updating processes to maintain model accuracy and relevance.
- Develop and execute strategies to integrate Generative AI tools and techniques into transaction data monitoring processes, improving efficiency and reducing development time.
- Design tests and refining prompts for LLM to improve accuracy, reliability and efficiency.
- Identify opportunities to augment data science workflows using GenAI, enhancing model development, data analysis, and feature engineering capabilities.
- Collaborate with data engineers, software developers, and business analysts to ensure seamless integration of data quality monitoring processes.
- Work closely with domain experts to understand transaction data requirements and business rules.
- Effectively communicate data quality findings, model performance, and project progress to stakeholders.
- Provide actionable insights and recommendations to improve data quality and model performance.
- Maintain comprehensive documentation of data quality monitoring processes, machine learning models, and generative AI models and processes.
- Document data preprocessing steps, feature engineering techniques, and model evaluation results.
- Stay updated with the latest advancements in machine learning, generative AI, and data quality monitoring techniques.
- Experiment with new tools, technologies, and methodologies to enhance data quality monitoring and model performance.
Votre profil
Job Requirements:
- Candidates should have a minimum of 6 years’ experience in relevant activities
- At least Bachelor’s Degree in Computer Science, Information Technology, Programming & Systems Analysis, Science (Computer Studies) or related fields.
- Proficiency in languages such as Python, R, SQL, and Java or Scala.
- Strong understanding of statistical methods and concepts.
- Experience with data manipulation libraries (e.g., pandas, dplyr) and data analysis tools.
- Knowledge of machine learning algorithms and frameworks (e.g., scikit-learn, TensorFlow, PyTorch).
- Expertise in analyzing and forecasting time series data.
- Ability to create visualizations using tools like Matplotlib, Seaborn, ggplot2, or Tableau.
- Big Data Technologies: Familiarity with big data tools such as Hadoop, Spark, and distributed computing.
- Database Management: Experience with relational databases (e.g., MySQL, PostgreSQL) and NoSQL databases (e.g., MongoDB, Cassandra).
- Docker/Kubernetes, Kafka, Spark, Mongo DB
- Data Wrangling: Skills in cleaning, transforming, and preparing data for analysis.
- Knowledge on implementing ML and GenAI solutions AWS (Bedrock, SageMaker etc.)
- Experience in supporting capital market applications and trading systems, ideally within the dynamic landscape of Market Risk/Front Office operations with a commendable grasp of financial products (Treasury, FX, Credit, IRD, Bonds, RSF etc.)
- Experience in Business intelligence tools
- Experience in working with application monitoring and automation
- Experience in Banking environment, especially in Capital Market IT
À propos d'Antaes
Créée en 2007, Antaes est une société suisse de conseil en management et technologie classée dans le top 15 des sociétés de conseil en Suisse. Nous comptons plus de 300 ingénieurs expérimentés qui partagent notre passion.
Présents en Suisse, à Singapour, à Hong-Kong et en France, nous accompagnons nos clients suisses, et internationaux en intervenant dans les domaines suivants :
- Conseil en organisation et transformation
- Ingénierie Industrielle
- Management des systèmes d'Information
En rejoignant nos équipes vous découvrirez :
- Une équipe dynamique dans un esprit start-up
- Un accompagnement humain et un suivi de l’évolution de votre carrière
- Des challenges pour contribuer au développement de votre réseau
- Des événements : team building, meet-up, workshop, Winter Event …
-
Une entreprise certifiée @HappyAtWork et ayant une politique RSE engagée (médaille d’or Ecovadis2023)
