Intermediate Data Scientist

Intermediate Data Scientist
Voir toutes les offres

Intermediate Data Scientist

Asia - Singapore
Digital et Systèmes d'Information
CDI
3/25/2025
POSTULER

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.

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

This is some text inside of a div block.

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)

POSTULER
Nos autres offres

Chef de Projet Sécurité Fonctionnelle (F/H)

France - Haute-savoie
CDI
Ingénierie Industrielle et Life-Science

Dans le cadre d’un projet stratégique au sein d’une entreprise dans le secteur industriel, nous recherchons un·e Chef de projet Sécurité Fonctionnelle pour coordonner un programme de développement de systèmes critiques intégrant des enjeux de sécurité fonctionnelle (ISO 13849) et de conformité ASPICE. Le poste implique une collaboration étroite avec des équipes basées à l'internationale.

 

 En tant que Chef de Projet Sécurité Fonctionnelle, vous aurez pour principales missions : 

 

Vos responsabilités :

  • Piloter le projet en garantissant la tenue des délais, du budget et des objectifs techniques
  • Gérer la coordination entre les équipes situées en Allemagne et en Italie
  • Assurer un reporting régulier auprès de la direction et des parties prenantes
  • Veiller au respect des normes de sécurité ISO 13849 et des exigences ASPICE tout au long du projet
  • Superviser les processus de développement logiciel et matériel dans un cadre réglementaire strict
  • Encadrer des équipes pluridisciplinaires et assurer leur montée en compétence sur les aspects sécurité
  • Favoriser une communication fluide entre les services techniques, qualité et parties externes
  • Identifier les risques projets, mettre en place des plans d’atténuation et conduire des audits internes
  • Participer activement à l’amélioration continue des processus internes et au suivi des évolutions normatives
Voir l'offre

Consultant Qualité (F/H)

Suisse - Berne
CDI
Ingénierie Industrielle et Life-Science

Dans le cadre d’un programme de transformation industrielle, nous recherchons un·e Consultant·e Qualité pour intervenir sur le site de Bienne pour l'un de nos clients, une entreprise dans le secteur industriel. L’objectif est d’accompagner l’alignement méthodologique et culturel autour des pratiques qualité dans un contexte de standardisation des processus.

 

 En tant que Consultant Qualité, vos missions principales seront : 

 

  • Accompagner le déploiement de la culture qualité sur les différents sites
  • Mettre en place un pilotage qualité régulier et structuré sur le flux Étampes
  • Standardiser les méthodologies de résolution de problèmes (QRQC, PDCA, 8D)
  • Soutenir les initiatives d’amélioration continue à travers des plans d’action concrets
  • Structurer un reporting qualité clair, basé sur des faits et des indicateurs fiables
  • Assurer le bon traitement des non-conformités internes, externes et fournisseurs
  • Évaluer la robustesse des actions correctives et préventives
  • Identifier les écarts de pratiques entre les entités et proposer des solutions durables
  • Renforcer les compétences qualité des équipes terrain à travers du coaching opérationnel
Voir l'offre

Chef de Projet Supply-Chain (H/F)

Suisse - Neuchâtel
CDI
Ingénierie Industrielle et Life-Science

Nous recrutons en CDI un Chef de Projet Supply-Chain (H/F) afin de rejoindre notre pôle d'expertise industrielle dans le cadre d'un projet de grande envergure et longue durée, d'extension des activités de notre partenaire.

 

En tant que Chef de Projet Supply-Chain (H/F) , vos missions seront :

 

  • Organiser et superviser l'approvisionnement des sous-ensembles et machines nécessaires à la fabrication de nos lignes d'assemblage, conformément aux plannings établis par les Chefs de Projet et Program Managers.

 

  • Faciliter la communication entre les fournisseurs (sous-traitants, partenaires internes et externes) et les différents départements. Animer des réunions opérationnelles ainsi que des réunions de projet selon les besoins identifiés.

 

  • Garantir une compréhension complète et assurer la mise à disposition de la documentation technique auprès des fournisseurs.

 

  • Veiller à la cohérence des plannings définis par les sous-traitants internes et externes avec ceux fixés par les Chefs de Projet.

 

  • Assurer le suivi régulier de l’avancement de la production chez les fournisseurs, identifier et signaler rapidement tout écart par rapport au planning établi, et détecter les éventuels points de blocage (matières premières, processus, ressources). Communiquer ces informations de manière proactive et assurer le suivi des actions correctives engagées.

 

  • Identifier les éventuels problèmes techniques ou de qualité rencontrés chez les fournisseurs, les signaler aux départements concernés afin d'élaborer des solutions, et suivre la mise en œuvre des mesures correctives chez le fournisseur.
Voir l'offre

Machine Learning Engineer

Asia - Singapore
CDI
Digital et Systèmes d'Information

We are looking for a talented MLOps Engineer to join our production team, specializing in implementing cutting-edge generative AI and machine learning applications. The ideal candidate will have hands-on experience with tools such as Microsoft OpenAI, Domino Data Lab, and Mistral models. This role requires the ability to identify differences between various models, monitor their performance, and collaborate closely with application teams to share knowledge and best practices.

 

Job Responsibilities

  • Collaborate with data scientists and software engineers to Implement and optimize generative AI and machine learning models in production environments.
  • Provision & manage the infrastructure required for hosting ML models, including cloud resources and on-premises servers.
  • Utilize containerization technologies like Docker to package models and dependencies.
  • Develop and maintain CI/CD pipelines for automating the testing, integration, and deployment of ML models.
  • Implement version control to track changes in both code and model artifacts.
  • Optimize existing models for performance and scalability.
  • Establish monitoring solutions to track the performance and health of deployed models.
  • Set up logging mechanisms to capture relevant information for debugging and auditing purposes.
  • Ensure compliance regulations and data protection standards.
  • Document processes, methodologies, and results for transparency and reproducibility.
Voir l'offre

Chargé de projets électricité automatisme (H/F)

Suisse - Neuchâtel
CDI
Ingénierie Industrielle et Life-Science

Nous recrutons en CDI un Chargé de projets électricité automatisme (H/F) afin de rejoindre notre pôle d'expertise industrielle dans le cadre d'un projet de grande envergure et longue durée, d'extension des activités de notre partenaire.

 

En tant que Chargé de projets électricité automatisme (H/F), vos missions seront :

 

  • Diriger et coordonner des projets de sous-traitance électrique.
  • Gérer les aspects techniques, financiers et organisationnels.
  • Établir et entretenir des relations stratégiques avec les clients.
  • Mettre en œuvre des actions d'amélioration continue et optimiser les processus.
Voir l'offre
FORMULAIRE DE CANDIDATURE
* champs obligatoires
En soumettant ce formulaire, vous reconnaissez avoir pris connaissance de la politique de confidentialité de notre site web qui inclut vos droits concernant vos données personnelles.
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.

Intermediate Data Scientist

Asia - Singapore
Digital et Systèmes d'Information
CDI

Vos responsabilités

This is some text inside of a div block.

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

This is some text inside of a div block.

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
Our positions are open to people who have been recognized as disabled workers. T&S Group promotes diversity and equality in the workplace. All qualified M/F candidates are considered for employment on an equal basis.

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)