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Synchrone Fr

Synchrone Fr

www.synchrone.fr

6 Jobs

823 Employees

About the Company

Synchrone est un cabinet de conseil en transformation des entreprises. Nous accompagnons les DSI et les Directions Métiers de plus de 120 clients grâce à notre savoir-faire en Data & IA, DevOps & Cloud et Digital. En combinant conseil stratégique et exécution opérationnelle experte, nous concevons des solutions sur mesure, parfaitement adaptées aux spécificités métiers et IT de chaque organisation, quelle que soit sa taille ou son modèle. Nos practices spécialisées – acculturation à l’IA, agentisation, data gouvernance, move to cloud, SRE, expérience client, etc. – proposent des trajectoires de transformation personnalisées, ancrées dans les enjeux concrets des DSI et des Directions Métiers. Avec plus de 1 500 collaborateurs engagés, Synchrone propose des programmes carrières structurés, des rôles à fort impact et des parcours de formation enrichis par des partenariats technologiques de premier plan, pour accompagner chaque évolution professionnelle. Portée par un projet d’entreprise ambitieux « IMPULSE VALUE », Synchrone accélère son développement en France et en Europe, tout en diversifiant ses offres à destination des ETI/PME. Notre mission : créer toujours plus de valeur pour nos clients et nos collaborateurs. Change is a collective game.

Listed Jobs

Company background Company brand
Company Name
Synchrone Fr
Job Title
Product Owner / Product Manager (H/F)
Job Description
**Job Title:** Product Owner / Product Manager (H/F) **Role Summary:** Lead cross‑functional product development in an Agile environment. Own the product vision, backlog, and delivery metrics. Collaborate with stakeholders, developers, and clients to translate business and user needs into prioritized features and ensure successful launch and ongoing improvement. **Expectations:** * At least 5 years of product or project management experience, preferably Agile. * Proven ability to lead product strategy, backlog grooming, and stakeholder communication. * Strong analytical skills, technical awareness, and business acumen. * Autonomy, proactive mindset, and teamwork orientation. * Agile certification (Scrum, Kanban, LeSS, SAFe) is an advantage but not mandatory. **Key Responsibilities:** * Define, document, and prioritize user stories and business requirements. * Maintain and evolve the product backlog, ensuring alignment with corporate strategy. * Coordinate with development teams, facilitate sprint ceremonies, and oversee design and development workshops. * Communicate progress and status to clients and internal stakeholders. * Drive acceptance testing, enforce quality gates, and monitor release readiness. * Establish and track key performance indicators (KPIs) to evaluate product success and drive continuous improvement. * Promote the product across internal and external channels to secure engagement and adoption. **Required Skills:** * Agile product/project management experience. * Clear communication with technical, business, and project stakeholders. * Prioritisation, estimation, and feasibility assessment of feature requests. * Technical comprehension to collaborate effectively with engineering teams. * Commitment to continuous improvement and optimisation of product lifecycle. * Proactive initiative and problem‑solving mindset. * Team collaboration and cross‑functional coordination. **Required Education & Certifications:** * Bachelor’s degree in Business, Computer Science, Engineering, or related field (preferred). * Agile certification (Scrum Master, SAFe Agilist, Kanban Practitioner, etc.) preferred; otherwise equivalent experience.
Marseille, France
Hybrid
Mid level
09-03-2026
Company background Company brand
Company Name
Synchrone Fr
Job Title
Data engineer senior (F/H)
Job Description
**Job Title** Senior Data Engineer (F/M) **Role Summary** Design, build, and maintain high‑performance ETL pipelines and cloud data platforms. Optimize relational and NoSQL databases, ensure data quality and monitoring, and collaborate closely with Data Science and Business Intelligence teams. Stay current with industry best practices and emerging data technology. **Expectations** - Minimum 5 years of experience in a Data Engineer or similar role. - Bachelor’s or Master’s degree in Computer Science, Engineering, or related field. - Fluency in English (oral and written). - Strong teamwork, communication and analytical skills with a focus on quality and reliability. **Key Responsibilities** - Architect and implement scalable ETL workflows using tools such as Apache Airflow, Talend, or Stambia. - Build and maintain cloud data platforms on AWS, Azure, or GCP, deploying services like BigQuery, Redshift, RDS, Azure Data Factory, or Synapse Analytics. - Manage, tune, and scale relational (PostgreSQL, MySQL) and NoSQL (MongoDB, Cassandra) databases. - Develop data ingestion, transformation, and loading logic in Python, Java, or Scala. - Design and enforce data quality, lineage, and monitoring solutions. - Collaborate with Data Science and BI teams to translate business requirements into data solutions. - Continuously review and adopt best‑practice methodologies and new technologies in data engineering. **Required Skills** - ETL platforms: Apache Airflow, Talend, Stambia. - Programming: Python, Java, Scala. - Databases: SQL (PostgreSQL, MySQL), NoSQL (MongoDB, Cassandra). - Big data processing: Spark, Hadoop. - Cloud services: GCP (BigQuery, GCS), AWS (Redshift, RDS), Azure (Data Factory, Synapse Analytics). - Containerization & orchestration: Docker, Kubernetes. - Strong analytical problem‑solving and adherence to high‑quality standards. **Required Education & Certifications** - Master’s or Bachelor’s degree in Computer Science, Engineering, or related discipline. - 5+ years of professional experience as a Data Engineer. - Proficiency in English required.
Bouches-du-rhône, France
Hybrid
Senior
09-03-2026
Company background Company brand
Company Name
Synchrone Fr
Job Title
Chef de Projet Data & IA – H/F
Job Description
**Job Title:** Data & AI Project Manager – M/F **Role Summary:** Lead end‑to‑end AI and data initiatives for large enterprise clients, aligning cross‑functional teams and guiding projects from concept through deployment while ensuring quality, performance, and compliance. **Expactations:** Deliver AI solutions that transform data into actionable insights; maintain project timelines and budgets; act as the main liaison between business stakeholders, data scientists, data engineers, and clients; advocate for best practices in cloud, big data, and DevOps. **Key Responsibilities:** - Define AI roadmaps, gather and challenge business requirements, and translate them into technical scopes. - Oversee all project phases: data collection, preparation, transformation, model development, deployment, and monitoring. - Establish and track KPIs to ensure project success and ROI. - Design, deploy, and industrialize predictive models (regression, NLP, clustering, deep learning, decision trees) into production pipelines. - Ensure model quality, security, and regulatory compliance. - Coordinate multi‑disciplinary teams, facilitate workshops, and lead steering committee meetings. - Communicate technical concepts to non‑technical stakeholders and drive informed decision‑making. - Monitor AI and big data trends, evaluate cloud and platform options, and recommend appropriate technologies. - Drive continuous improvement of data and AI workflows, incorporating CI/CD, Docker, Kubernetes, Terraform, and DataOps practices. - Maintain documentation of architecture, models, and procedures. **Required Skills:** - Project management expertise (Agile/Scrum, waterfall). - Strong knowledge of Big Data ecosystems (Spark, Hive, Hadoop). - Proficient in AI/ML frameworks (Python, R, scikit‑learn, TensorFlow, PyTorch) and data science tools (Dataiku, Databricks). - Experience with cloud platforms (AWS, GCP, Azure), orchestration (Airflow, DBT, Talend), and DevOps tooling (CI/CD, Docker, Kubernetes, Terraform). - Knowledge of data visualization (Tableau, Power BI) and experiment tracking (MLflow). - Excellent communication, stakeholder management, and pedagogical skills for simplifying AI concepts. - Strong analytical and problem‑solving abilities, with a focus on delivering clean, scalable solutions. **Required Education & Certifications:** - Master’s degree (Bac+5) in Data Science, Artificial Intelligence, Computer Science, or a closely related field. - Minimum 5 years of project management experience in data and AI domains, preferably with large enterprise clients. - Certifications such as PMP, Prince2, or equivalent project management credentials are an advantage. ---
Île-de-france, France
Hybrid
09-03-2026
Company background Company brand
Company Name
Synchrone Fr
Job Title
Data Scientist IA expérimenté H/F
Job Description
Job Title: Senior AI Data Scientist Role Summary: Develop and deploy advanced NLP solutions using LLMs, RAG, RASA, and OpenAI to transform large textual datasets into actionable insights, build intelligent chatbots, and collaborate directly with clients to design customized AI strategies. Expectations: 4–8 years of professional experience in data science with a strong emphasis on NLP. Proven ability to design scalable AI models and deliver client-facing solutions. Key Responsibilities: 1. Build, train, and refine LLM‑based NLP models for text analysis and insight generation. 2. Design and implement conversational agents using RASA and OpenAI APIs. 3. Clean, process, and analyze complex datasets to extract meaningful patterns. 4. Conduct client workshops to gather requirements and translate them into AI roadmaps. 5. Monitor industry trends, evaluate cutting‑edge technologies, and integrate innovations into existing solutions. Required Skills: - Expertise in NLP, LLMs, RAG, RASA, OpenAI, and related frameworks. - Advanced knowledge of machine‑learning pipelines, feature engineering, and model evaluation. - Strong data analysis skills with proficiency in Python, SQL, and data‑processing libraries. - Experience delivering enterprise‑grade AI solutions and engaging stakeholders. Required Education & Certifications: - Bachelor’s or Master’s degree in Engineering, Computer Science, Data Science, or a related field (or equivalent experience). - Certifications in NLP, AI, or machine learning are a plus but not mandatory.
Bouches-du-rhône, France
Hybrid
Junior
09-03-2026