Ofertas de empleo para machine-learning

• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada24 nov.

. QA Machine Learning

Innodata (NASDAQ: INOD) is a leading data engineering company.

With more than 2,000 customers and operations in 13 cities around the world, we are an AI technology solutions provider-of-choice for 4 out of 5 of the world's biggest technology companies, as well as leading companies across financial services, insurance, technology, law, and medicine.

By combining advanced machine learning and artificial intelligence (ML/AI) technologies, a global workforce of subject matter experts, and a high-security infrastructure, we're helping usher in the promise of AI.

Innodata offers a powerful combination of both digital data solutions and easy-to-use, high-quality platforms.

Our global workforce includes over 5,000 employees in the United States, Canada, United Kingdom, the Philippines, India, Sri Lanka, Israel and Germany.

About The Role

We are seeking a highly analytical and detail-oriented linguist to support AI training initiatives and linguistic content creation.

This role is ideal for someone with a strong academic background in linguistics (syntax, semantics, pragmatics, morphology, phonology, sociolinguistics, etc.) and a passion for language, technology, and clear communication.

You will play a crucial role in shaping the capabilities of large language models (LLMs) and NLP-based systems through high-quality linguistic data curation, annotation, and evaluation.

Job Title:Linguistics Expert – AI Training & Content Writing

Key Responsibilities

Create or edit linguistically- rich content including grammar guides, syntactic analyses, usage explanations, or examples for NLP pipelines.

Identify and resolve issues related to ambiguity, bias, and grammaticality.

Perform quality assurance (QA) on model outputs for fluency, tone, factual accuracy, and language appropriateness.

Annotate linguistic datasets with syntactic, semantic, or pragmatic labels.

Support internal teams by conducting linguistic research and summarizing findings.

Apply linguistic knowledge to evaluate model behavior, error patterns, and generalization issues.

Qualifications

Deep understanding of linguistic theory and language structure.

Experience with one or more of the following is a plus: computational linguistics, corpus analysis, language data annotation, LLM training.

Strong writing, editing, and communication skills.

Next Steps

To proceed further in the evaluation process, you will need to complete two assessments:

Assessment Test

Evaluates your linguistic and analytical skills

Link:?

enc=oUTZVsr/Pnz/0Xygc2EK32MdtinqnjC9vy8RU3Ha4EOAPwT2LJJQDD68MkY6jszYhhsYYecqmKWja8eKXV801gezikielezikiel

Versant English Proficiency Test

Focuses on assessing your spoken and written English proficiency

AC1 or C2 levelis required to qualify

Once both assessments are successfully completed, you will be eligible for onboarding.

Language test

Action Required: XConnect Registration

You will also receive an invitation to our internal job platform,XConnect.

Please take a few minutes to register and complete your profile.

All project onboarding, communication, and documentation are managed through this platform.

If interested, kindly share your resume at: ******

• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada23 nov.

. Machine Learning

Assistant or Associate Professor in MarketingCompany: ESCP Business School

Location: Spain/ Madrid

Employment Type: Permanent Full-time

Posted: 19/11/2025

Assistant or Associate Professor in Marketing - Madrid campus

ESCP Business Schooland itsEuropean Department of Marketinginvite applications for the position of Assistant or Associate Professor in Marketing.

The position is being offered on theMadrid campusto take up the appointment bySeptember ****or later.

Candidates for appointment at theAssistant Professorlevel must have completed their PhD before starting the position and demonstrate teaching experience with positive evaluations, as well as excellent research outputs or highly promising ongoing projects.

Candidates for appointment at theAssociate Professorlevel must have a well-established record of publications in top-tier journals and excellent teaching evaluations.

For all candidates,expertise in marketing strategy and quantitative methods(e.g., econometrics, panel data analysis, machine learning) is preferred.

Anability and willingness to teach and develop data-driven marketing coursesis particularly desirable.

ESCP Business School( ) is one of Europe's leading business schools, offering a wide range of programs including Bachelor, Master, Specialized Master's, and MSc degrees, an MBA in International Management, an Executive MBA, Executive Education, and a PhD program.

The School operates across six campuses—Paris, London, Berlin, Madrid, Turin, and Warsaw.

ESCP's permanent faculty of over 200 members work collaboratively across campuses, supported by European-level committees and discipline-based departments that foster academic excellence and collegiality.

TheEuropean Department of Marketing (EDM)comprises 30 full-time faculty members representing 10 nationalities and a wide range of research interests, backgrounds, and methodological approaches.

We strive for excellence in our discipline while upholding the principles of diversity, sustainability, and academic freedom.

Our faculty make significant contributions to teaching and innovation as well as to research and impact, regularly publishing in leading journals such as the Journal of Marketing, Journal of the Academy of Marketing Science, Journal of Marketing Research, Journal of Consumer Research, and Journal of Consumer Psychology.

TheMadrid campusoffers a highly supportive and dynamic environment for dedicated scholars looking to further develop their academic career while contributing to our continued success and to our school's pedagogical mission and strong values.

It has especially developed its marketing expertise through our dedicated institutes and research centers and through programs such as the Master of Science in Marketing & Digital Media and marketing specializations in general programs (Master in Management, MBA, EMBA).

Applicants should fill out and submit their complete application packageby December *******in asingle PDF documentusing the following form .

The Package Should Include

A cover letter including teaching and research statements;

A curriculum vitae including a list of publications, ongoing research projects, and references;

Teaching evaluations from the past two years (if available);

A recent research article (preferably one not yet published).

Selected candidates will be notified by the end of January ****.

If you require additional information about the role, please contact the department's coordinator, Prof. Charlotte Gaston-Breton (****** ), or the campus representative, Prof. Lorena Blasco-Arcas (****** ).

Contact Person: If you wish to apply for this position, please specify that you saw it on AKADEUS.

#J-*****-Ljbffr

• Flexibilidad horariaSí
• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada23 nov.

Teletrabajo . Python Azure Cloud Coumputing Git AWS Machine Learning

Job Description:

Dentsu es el grupo líder de la industria de comunicación en España tanto a nivel cualitativo como cuantitativo. Por 6º año consecutivo encabeza la posición líder en el ranking de InfoAdex y en el último informe RECMA, consiguiendo la mayor ventaja registrada en los últimos años.

En España tiene agencias destacadas como Carat (#1 ranking InfoAdex), iProspect (#3 ranking InfoAdex), dentsu X (#10 InfoAdex), dentsu Story Lab, Dentsu Creative, Merkle, Omega CRM, Evolf y otras marcas especializadas, todas ellas centradas en hacer crecer el negocio de sus clientes.

Con los mejores servicios y soluciones en medios, CXM y creatividad, dentsu pertenece a una gran red global y cuenta con más de 71.000 especialistas que operan en 120 países y regiones en todo el mundo.

¡Únete a nosotros y sé parte de una empresa que no solo lidera el mercado, sino que también se esfuerza por crear un futuro vibrante y lleno de oportunidades para todos!

https://www.dentsu.com/

https://www.dentsu.com/es/es/trabaja-con-nosotros

Senior Data Scientist & GenAI

El candidato seleccionado formará parte del equipo de AI & Transformation en Dentsu, participando en proyectos de IA e IA generativa, que incluyen análisis de datos, modelización, creación de agentes y elaboración de recomendaciones a nuestros clientes. Buscamos un perfil con sólida experiencia técnica, capaz de diseñar e implementar metodologías y algoritmos para resolver problemáticas de negocio que devuelvan valor

Funciones y responsabilidades:

• La elaboración de modelos matemáticos para medir, predecir simular y optimizar el efecto de la comunicación en los KPIs de negocio de los anunciantes.
• Diseño y definición de enfoques o soluciones que resuelvan problemáticas de negocio de clientes del grupo Dentsu a través de tecnologías basadas en algoritmos de IA.
• Elaboración y presentación de los resultados y aprendizajes obtenidos de los análisis a los anunciantes para maximizar los resultados de las marcas.
• Colaborar en el diseño y desarrollo técnico de nuevos productos y servicios que aporten valor añadido a los anunciantes.
• Investigación y aplicación de modelos Machine Learning para la creación de nuevos productos y la realización de proyectos para nuestros clientes.
• Creación de agentes y uso de LLMs para el análisis de datos, creación de insights y automatización de procesos
  
  
  

Requerimientos:

• Formación académica deseable: Grado o Máster en Matemáticas, Ingenierías, Física, Estadística u otros grados técnicos relacionados.
• Experiencia mínima de 5 años como Data Scientist y/o experiencia en proyectos de Inteligencia Artificial o Análisis de Datos. Valorable experiencia en agencias de medios y conocimientos de marketing.
• Conocimiento de Python, así como buenas prácticas de desarrollo y experiencia en Git.
• Conocimientos y experiencia en al menos una de las grandes plataformas Cloud (Azure, Google Cloud, AWS).
• Conocimientos sobre modelos supervisados y no supervisados (Regresión, Clasificación, Procesamiento Lenguaje Natural, Redes Neuronales, Series Temporales, etc.).
• Experiencia práctica en el uso de LLMs (OpenAI, Anthropic, Mistral, etc.) y frameworks como LangChain, Hugging Face Transformers, o similares.
• Conocimiento de metodologías RAG, embeddings vectoriales, bases de datos vectoriales (FAISS, Weaviate, Pinecone).
• Nivel alto de inglés (relación con equipos internacionales). Comunicación fluida en inglés, tanto oral como escrita.
  
  
  

Aptitudes y conocimientos valorados positivamente

• Proactividad, capacidad de aprendizaje y adaptación en un sector dinámico con muchas oportunidades.
• Experiencia en el sector de Marketing y Publicidad, especialmente en medición del impacto publicitario mediante modelos matemáticos.
• Capacidad de análisis, síntesis y resolución de problemas.
• Facilidad para trabajar en equipo.
• Agilidad y compromiso.
• Orientación al cliente y a la obtención de resultados.
• Excelente capacidad de comunicación con equipos multidisciplinares
  
  
  

Nuestros beneficios ✨

🌴 Vacaciones: 26 días laborables, 3 Wellness Days, día libre en tu cumpleaños 🎂, y los días 24 y 31 de diciembre libres si caen en jornada laboral 🎉

⏰ Horario flexible

🌞 Jornada intensiva en verano (del 15 de junio al 15 de septiembre)

🏡 Política híbrida de teletrabajo

📚 Desarrollo profesional a través de la plataforma Dentsu University

💰 Paquete de compensación atractivo

🧾 Acceso al sistema de retribución flexible (Seguro médico 🏥, Tickets Restaurant 🍽️, Tarjeta transporte 🚇, Cheque guardería 👶, Formación específica 🎓…)

🤝 Programa de Asistencia al Empleado

💚 2 días de voluntariado, en línea con nuestro compromiso con la responsabilidad corporativa y el impacto social

😊 Excelente ambiente de trabajo

🏆 Hemos conseguido la acreditación de Empresa Top Employer en 2024 y 2025 y la certificación Happy Trainees en 2025. ¡Ambos premios reconocen a Dentsu como una gran marca empleadora!

Inclusión y Diversidad

En Dentsu, valoramos la diversidad y fomentamos un entorno inclusivo donde cada talento puede prosperar. Nos enorgullece ser reconocidos por nuestra estrategia de sostenibilidad y nuestro compromiso con la innovación y el impacto positivo en la comunidad. Nuestra ambición es construir una sociedad justa y más igualitaria. Es por eso por lo que, alentamos las solicitudes de personas con discapacidad, de todas las edades, nacionalidades, orígenes y culturas. Dentsu está comprometida con la igualdad de oportunidades entre hombres y mujeres.

Location:

Madrid

Brand:

Carat

Time Type:

Full time

Contract Type:

Permanent

• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada23 nov.

. Azure NoSQL Scrum Cloud Coumputing R Kanban Machine Learning Power BI Tableau

Quodem Consultoresbusca a una persona con visión estratégica, pasión por los datos y liderazgo técnico/funcional para diseñar, ejecutar y optimizar soluciones de BI enReal World Evidenceyvalue-based healthcare .

Modalidad:Híbrida (Madrid)Contrato:Indefinido | Jornada completaCandidaturas:****** retoLiderar iniciativas de analítica y BI orientadas a resultados en salud.Definir requisitos con el cliente y traducirlos en soluciones de valor.Diseñar/desarrollarETL ,modelos de datosydashboards (Power BI) .

Asegurar calidad/consistencia del dato y extraer insights accionables.Analizar métricas (estructuradas y no estructuradas) y proponer mejoras.Mantenerte al día en Data & Analytics.Lo que esperamos de tiImprescindibles:Modelización enBBDD relacionalesyTransact-SQL .

R / RStudioymétodos estadísticos .

Power BI, DAX, Power Query .

Inglés C1 .

Valorable:NoSQL ,SSISy/oAzure Data Factory ,Azure Synapse .

SCRUM / KANBAN .

QlikView, Tableau, Looker Studio .

Machine Learning .

Diseño de cuestionarios cualitativos (p. ej.,Delphi ).

Soft skills:visión analítica, storytelling y orientación a cliente; liderazgo en proyectos del dato; autonomía y enfoque a resultados.Formación/experiencia:Grado STEM +=5 añoscreando proyectos desde cero en entornos exigentes.Qué ofrecemosProyectos innovadores con tecnologías punteras.Formación continua (IA, cloud, nuevas metodologías).

Flexibilidad (opción híbrida o remota) y equilibrio vida-trabajo.Cultura de diversidad, igualdad y sostenibilidad.Retribución flexible (restaurante, transporte, guardería)¿Te interesa?

Envía tu CV a ******ás sobre Quodem: #DataAnalytics #HealthOutcomes #RWE #PowerBI #SQL #Azure #MachineLearning #Hiring #Madrid #DataJobs

• Nivel de experiencia---
• Tipo de contratoTemporal
• Publicada23 nov.

Teletrabajo . Python REST Machine Learning

Location: Paris or Barcelona
Internship - 4-6 months
Remote working possible - 2 days per weekWELCOME TO SITA

At SITA, we keep airports moving, airlines flying smoothly, and borders open. Our technology and communication innovations power the success of the global air travel industry.

 

You'll find us in 95% of international airports, working closely with over 2,500 transportation and government clients. Each partnership brings unique challenges, and we thrive on delivering fresh solutions and cutting-edge tech to keep operations running like clockwork. We don't just move the world forward-we're proud to be recognized as a Great Place to Work® by 79% of our employees and certified in most of our growing locations. Here, we feel empowered, supported, and inspired to grow.

 

Are you ready to love your job?

 

The adventure begins right here, with you, at SITA.

 

Purpose

The Data Intelligence team develops and deploys data-driven and AI-powered solutions to optimize operations in the aviation industry, with a specific focus on reducing the sector's CO2 emissions. For example, SITA Opticlimb helps to save fuel for each climb by computing optimal climb speeds considering number of factors like air density, weight ...

 

We are seeking a highly motivated AI Engineer Intern to join our Data Intelligence team. As an AI Expert Intern, you will have the opportunity to work closely with our AI Experts on cutting-edge projects, leveraging your skills and knowledge in AI development and optimization. This internship provides a valuable opportunity to gain hands-on experience in the field of AI and contribute to the success of our data intelligence solutions.

 

Responsibilities

• Collaborate with the AI Product Lead to understand the goals and requirements of the specific product.
• Assist in the development and optimization of AI models and algorithms for the product.
• Conduct research and gather relevant data to support the AI model development process.
• Preprocess and analyze data using tools such as Pandas, NumPy, and scikit-learn to prepare it for model training and evaluation.
• Support the AI Product Lead in conducting experiments and tests to evaluate model performance.
• Help implement new features and enhancements in collaboration with the development team.
• Collaborate with cross-functional teams, including Data Scientists and Flight Ops Experts, to ensure successful product delivery.
• Document development processes, procedures, and findings.
• Stay updated on the latest AI research and industry trends to contribute innovative ideas to the project.
• Support the AI Product Lead in troubleshooting and resolving technical issues related to the product.

 

 

Qualifications

• Currently pursuing a Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
• Solid understanding of AI and machine learning concepts.
• Proficiency in Python and experience with libraries such as Pandas, NumPy, and scikit-learn.
• Knowledge of data preprocessing, feature engineering, and model evaluation techniques.
• Strong analytical and problem-solving skills.
• Excellent communication and teamwork abilities.
• Passion for learning and staying up-to-date with AI advancements.

Why should you join us

Join our team as an intern or apprentice and embark on an exciting journey to revolutionize the aviation industry with our cutting-edge AI-driven solutions. As a member of our dynamic and passionate team, you will have the opportunity to learn and contribute to the development and deployment of our own Python packages, gaining valuable hands-on experience in the end-to-end data pipeline. Our commitment to sustainability drives us to reduce the ecological impact of the aviation sector.

As part of our team, we prioritize your growth and well-being. We offer competitive compensation and benefits tailored to interns and apprentices, including 2 days of paid vacation per month to ensure you have time to rest, rejuvenate, and strike a healthy work-life balance. By joining us, you will become part of a vibrant community of talented individuals who are passionate about shaping the future of the aviation industry. We foster a collaborative and inclusive work environment where you can learn from experienced professionals, contribute your unique insights, and develop valuable skills in AI engineering. Together, we will make a positive impact on the aviation industry while providing you with a rewarding and fulfilling experience that sets you on the path to a successful career in the field.

 

• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada22 nov.

. Java Python TSQL Cloud Coumputing R Machine Learning Office

This role has been designed as ‘’Onsite’ with an expectation that you will primarily work from an HPE office.

Who We Are

Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today’s complex world. Our culture thrives on finding new and better ways to accelerate what’s next. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE.

Job Description

The AI & Data Junior Consultant is a customer facing role to provide AI & Data technology consulting to external customers and internal project teams. Responsible for providing technical contribution and/or leadership in the creation and delivery of technology solutions to meet customers’ business needs and drive outcomes for the customers.

The AI & Data Junior Consultant will keep pace with the advancement of leading-edge AI & Data technologies and industry/market trend while actively contributing to the company’s solutions portfolio through information and knowledge sharing ranging from technical expertise to methodologies based on experience gained from customer projects. Help to shape technical direction and technical strategies within the organization and for external customers.

The AI & Data Junior Consultant is accountable for contributing to organization’s profitability by generating and cultivating new business opportunities and by providing technical support for deal proposal development. The AI & Data Junior Consultant is expected to work closely with Service Sales Specialist and all the Sales Account Team to help drive company growth, and to be recognized as a trusted advisor from the customer’s point of view.

What do we offer?

Join a dynamic team working on innovative cutting-edge AI and Data projects, with a positive work environment that is supportive for your growth in both technology and business areas. This COE will present a unique opportunity for new graduates to be exposed to innovations, projects, and customers across the globe in a fast-revolving technology space. Specific training and career development opportunities will be provided to the successful candidates. HPE offers competitive salary along with an excellent compensation and benefits package.

Responsibilities

• Responsible for delivery of assigned tasks within the project lifecycle. Understand the company's technology portfolio and deliver technical design that meets customer requirements. Assignments may include developing advanced analytics and ML/DL models, implementing data engineering pipelines, integrating AI & Data product ecosystem, applying MLOps best practices and tools, and contributing to the design of AI and Data technical solutions with moderate risk/complexity.
• Work under supervision of the technical lead and with customer nominated representatives to accomplish assigned tasks.
• Integrate technical knowledge and business understanding to create solutions for customers.
• Apply company solutions to meet moderately complex customer needs within area(s) of technical responsibility.
• Provide technical consulting during project presales discussions.
• Resolve technical issues independently within your technical area. Work with team members to solution cross technology assignments or address complex technical issues.
• Balance internal needs with customer needs within defined parameters.
• May identify additional services that could lead to future service revenue growth.
• Manage smaller projects/programs in the team.
• Act professionally as trusted advisor in the consultant role for customers and the HPE sales team.
• Participates as part of a team in developing and growing good relationships with team members and customers in assigned projects.
• Understand the company's strategy.
• Is aware of AI and Data knowledge tools and their applications
• Participate in technical or professional community events.
• Keep refreshing technical knowledge and ramp up rapidly.
  
  

Education And Experience Required

• Bachelor’s degree (Computer Science, Electrical & Computer Engineering, Mathematics, Physics, or related fields).
• Completed or undertaking master’s degree study specialized in Artificial Intelligence & Machine Learning or Data Science.
  
  

Knowledge And Skills

• Knowledge of programming languages such as Python, SQL, R, Java, C, Unix Shell scripting.
• Conceptual understanding of Information Technology (IT) environments.
• Passion for new and emerging AI and Data technologies, and ability to keep updated in technological innovations and new releases.
• Willingness to participate in international projects and availability to travel.
• Active listening skills and ability to adjust messages to audience level.
• Communicate effectively to both technical groups and the management within the organization.
• Problem-solving skills (proactive, reactive, and creative). Ability to identify alternatives, set priorities, and identify solutions.
• Able to produce basic documentation that meets required standards.
• Demonstrate understanding of assigned discipline or technical area.
• Proactive learning aptitude and interested in developing a career in the company.
• Teamwork skills. Autonomy with the ability to organize and manage own work.
  
  

Additional Skills

Accountability, Accountability, Active Learning, Active Listening, Bias, Business Growth, Client Expectations Management, Coaching, Creativity, Critical Thinking, Cross-Functional Teamwork, Customer Centric Solutions, Customer Relationship Management (CRM), Design Thinking, Empathy, Follow-Through, Growth Mindset, Information Technology (IT) Infrastructure, Infrastructure as a Service (IaaS), Intellectual Curiosity (Inactive), Long Term Planning, Managing Ambiguity, Process Improvements, Product Services, Relationship Building {+ 5 more}

What We Can Offer You

Health & Wellbeing

We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing.

Personal & Professional Development

We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have — whether you want to become a knowledge expert in your field or apply your skills to another division.

Unconditional Inclusion

We are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good.

Let's Stay Connected

Follow @HPECareers on Instagram to see the latest on people, culture and tech at HPE.

Job

Services

Job Level

TCP_01

HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT employer. We do not discriminate on the basis of race, gender, or any other protected category, and all decisions we make are made on the basis of qualifications, merit, and business need. Our goal is to be one global team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together. Please click here: Equal Employment Opportunity.

Hewlett Packard Enterprise is EEO Protected Veteran/ Individual with Disabilities.

HPE will comply with all applicable laws related to employer use of arrest and conviction records, including laws requiring employers to consider for employment qualified applicants with criminal histories.

No Fees Notice & Recruitment Fraud Disclaimer

It has come to HPE’s attention that there has been an increase in recruitment fraud whereby scammer impersonate HPE or HPE-authorized recruiting agencies and offer fake employment opportunities to candidates. These scammers often seek to obtain personal information or money from candidates.

Please note that Hewlett Packard Enterprise (HPE), its direct and indirect subsidiaries and affiliated companies, and its authorized recruitment agencies/vendors will never charge any candidate a registration fee, hiring fee, or any other fee in connection with its recruitment and hiring process. The credentials of any hiring agency that claims to be working with HPE for recruitment of talent should be verified by candidates and candidates shall be solely responsible to conduct such verification. Any candidate/individual who relies on the erroneous representations made by fraudulent employment agencies does so at their own risk, and HPE disclaims liability for any damages or claims that may result from any such communication.

• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada22 nov.

Python TSQL Azure Docker Cloud Coumputing Kubernetes Git AWS Spark Machine Learning Power BI Tableau

Additional Locations: France-Île-de-France; Germany-Düsseldorf; Italy-Milan; Netherlands-Kerkrade; United Kingdom-Hemel Hempstead

Diversity - Innovation - Caring - Global Collaboration - Winning Spirit - High Performance

At Boston Scientific, we´ll give you the opportunity to harness all that´s within you by working in teams of diverse and high-performing employees, tackling some of the most important health industry challenges. With access to the latest tools, information and training, we´ll help you in advancing your skills and career. Here, you´ll be supported in progressing - whatever your ambitions.

A Day in the Life of the EMEA Data Scientist:

You will spend most of your time (60%) focused on MLOps and model deployment, and (40%) on data science and model development. You will work across the entire ML lifecycle-from building and maintaining pipelines to deploying and monitoring models, exploring data, and developing machine learning solutions. As a well-rounded ML practitioner, you will balance engineering and data science. As you collaborate with your peers, you will learn and continually improve your work.

You will work with businesses to understand their data needs and translate those into data structures and model requirements. You will define standards for monitoring data model integrity during projects and lead data modeling and testing. Additionally, you conduct quality assurance on analytics tools and methods used. You will apply expertise in machine learning, data mining, and information retrieval to design, prototype, and develop next-generation analytics. You will develop best practices for analytics, including models, standards, and tools. Furthermore, you will have metrics to assess the impact of analytics on the business.

The role:

This role, reporting directly to the EMEA AI Development & BI Manager, is a great opportunity for technical talents passionate about driving meaningful innovation for our business.

Key Responsibilities:

- Data Engineering:
- Build and maintain data pipelines for structured and unstructured data.
- Work with SQL/NoSQL databases and data warehouses (e.g., Snowflake, BigQuery, Redshift).
- Ensure data quality, integrity, and availability.
- Data Science:
- Explore, clean, and analyze datasets to derive insights.
- Train, evaluate, and fine-tune machine learning models.
- Assist in developing proof-of-concepts and production-ready ML solutions.
- MLOps:
- Support deployment of ML models into production (batch and real-time).
- Implement model monitoring, retraining, and CI/CD workflows.
- Work with cloud platforms (AWS, GCP, or Azure) and containerization tools (Docker, Kubernetes).

What you will need:

- Bachelor´s or Master´s in Computer Science, Data Science, Engineering, or related field.
- 4-5 years of professional experience in data science, data engineering, or MLOps.
- Strong programming skills in Python (pandas, scikit-learn, PySpark preferred).
- Experience with SQL and familiarity with database design.
- Exposure to cloud platforms (AWS, GCP, or Azure).
- Knowledge of ML lifecycle tools (MLflow, Kubeflow, Airflow, Prefect, etc.).
- Familiarity with Git, CI/CD pipelines, and containerization (Docker, Kubernetes).
- Good problem-solving skills and eagerness to learn new technologies.

Nice to Have:
- Hands-on experience with deep learning frameworks (TensorFlow, PyTorch).
- Experience with data visualization tools (Tableau, Power BI, or Looker).
- Knowledge of distributed computing frameworks (Spark, Dask).
- Prior internship or project work in MLOps.

What do we offer:
- A compelling career opportunity to lead impactful, innovative initiatives within the EMEA region.
- Opportunity to work on end-to-end data projects.
- Mentorship from senior data scientists and engineers.
- A collaborative, learning-focused environment.
- A coaching culture environment focusing on your success and development!

• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada21 nov.

. Machine Learning

This position reports to the Senior Finance Director, TMD International and is responsible for the financial consolidation, reporting and analysis of the TMD international unit.

TMD (The McDonald's Division) International oversees TCCC’s (The Coca-Cola Company) business with The McDonald’s Corporation in 100 countries and across all Operating Units (excl North America) , accounting for a volume size of approx. 500 Million UC countries, supporting business development and engaging with all key functions across all OUs (Operating Unit) to drive sustainable and profitable growth with McD. Primary duties include coordinating, consolidating, and analyzing i) annual budgets, ii) rolling estimates, iii) LRP forecasting iv) actual marketing and Opex expenses, and other ad hoc analyses.

This position will interact and collaborate with the International Finance Team and International Customer functional teams to ensure alignment of key financial and other business measures along all the planning cycle. It also will work closely with TMD Atlanta Corporate Finance and Reporting to ensure timely and accurate compliance with Global TMD and Company reporting requirements and internal controls. The role requires strong risk assessment skills, thought leadership, can-do attitude, a transformation mindset, and client focus in the areas of financial processes, planning and reporting.

What Will You Do

• Upgrade current financial planning System and develop, implement, and maintain the future financial planning system for TMD International.
• Together with Atlanta based Digital Capabilities Team, support the digitizing of our finance workflows and processes and participate in the design and deployment of multi-dimensional models that leverage a data framework representing single sources of truth across multiple use cases.
• Overseeing both short and long-term financial planning, reporting and/or financial analysis of TMD’s International business operations for the purpose of measuring and forecasting business performance.
• Configuring, maintaining, and generating reports from our finance information system, ensuring accuracy and reliability in financial reporting.
• Develop, implement and continuously evolve the consolidation of OU’s Marketing Investments into TMD’s reporting System to track business performance.
• Steward timely internal communication with the key finance stakeholders for all the milestones of the annual planning cycle, both internally in TMD and also across OUs.
• Together with Atlanta based TMD’s Corporate Finance Team, steward all Governance and internal financial procedures (SEC Letter, Impairment Tests, Hyperion data submissions, …) are timely met by all TMD’s International Finance associates.
  
  

Qualifications & Requirements

• Bachelor’s degree in finance, Accounting, Business Administration, or a relevant field, with an MBA or equivalent preferred.
• Experience in Forecasting, Financial Planning & Reporting, Financial Systems and Process Management/Automation, and Business Analytics, Business Planning. Knowledge of Anaplan, Hyperion and SAP a plus.
• Proven expertise in leading operational strategies within finance, as well as managing projects and resources. Experience leveraging skills in project management; change management; process development/improvement; and strong negotiation and collaboration is needed.
• Experience with data management methods, analytics deployment and orchestration tools, database and visualization tools for customer facing applications is needed.
• Experience synthesizing large, complex data sets from various sources and building machine learning models, data science methods, and analytics is needed.
• Must possess exceptional communication skills (story telling) evidenced by good verbal/written presentation ability.
  
  

What We’ll Do For You

• Join a team where you can lead critical financial operations, offering ample opportunities for growth in a global and dynamic work environment.
• Collaborative Culture: We work cross-functionally, across business units to ensure you’ve got the tools, resources, and thought-leadership to create the most comprehensive financial business modules, which enables us to make sound business decisions.
• Global Reach: We have the most advanced financial modeling that allows for global financial analysis, which leads the industry.
  
  

Skills

Financial Planning; Business Planning; Business Analytics; Process Management; Automation; Financial Reports; Project Management; Anaplan; Hyperion Software; Financial Analysis; Financial Forecasting

Annual Incentive Reference Value Percentage:30

Annual Incentive reference value is a market-based competitive value for your role. It falls in the middle of the range for your role, indicating performance at target.

• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada21 nov.

. Python Scrum Cloud Coumputing Agile Kanban Big Data Machine Learning

En el departamento de IT de Grupo Carrefour, estamos en búsqueda de un Data Scientist con una fuerte visión de negocio y capacidad técnica para desarrollar y productivizar soluciones de Machine Learning de extremo a extremo (E2E) en un entorno basado en Google Cloud Platform (GCP). El objetivo es resolver problemas complejos de negocio, como la optimización de procesos, la previsión de la demanda y la personalización de la oferta, transformando los datos en impacto medible y tangible para Carrefour.

Las principales responsabilidades serán:

• Desarrollo de Modelos de ML: Diseñar, entrenar y validar modelos de Machine Learning para resolver problemas de series temporales, predicción y optimización con un alto impacto en el negocio.
• Gestión del Ciclo de Vida Completo (E2E): Asumir la responsabilidad completa de los proyectos, desde la concepción entendiendo la necesidad de negocio y el análisis de los datos necesarios al proyectos hasta la puesta en producción y el mantenimiento de los modelos.
• Industrialización y Orquestación: Construir y gestionar pipelines de datos y modelos robustos y escalables utilizando herramientas como Apache Airflow en el entorno de Google Cloud, asegurando la calidad y el control del proyecto.
• Gestión de Proveedores: Coordinar y supervisar el trabajo de proveedores externos para el desarrollo de soluciones, asegurando la viabilidad técnica, la calidad del entregable y su correcta industrialización.
• Documentación y Escalabilidad: Asegurar la adecuada documentación y sostenibilidad de las soluciones implementadas, garantizando su escalabilidad en el tiempo.

Se requiere:

• Estudios superiores: Ingeniería Informática, Matemáticas, Estadística, Física o similar. Se valorará positivamente Máster o PhD en áreas relacionadas con Data Science, IA o Big Data.
• Proactividad, Autonomía y Foco en negocio: Perfil proactivo, con alta capacidad para la resolución de problemas y para trabajar de forma autónoma en un entorno dinámico. Capacidad para entender los procesos de negocio y alinear las soluciones técnicas con los objetivos estratégicos de la compañía.

Experiencia demostrable como mínimo de 3 años en:

• Sólida experiencia en el desarrollo de modelos de Machine Learning con Python y sus librerías principales (Scikit-learn, Pandas, NumPy, XGBoost, LightGBM).
• Experiencia en la puesta en producción de modelos (MLOps) y en el uso de herramientas de orquestación de flujos de trabajo, especialmente con Apache Airflow.
• Dominio práctico del ecosistema Google Cloud Platform (GCP), especialmente en servicios como Vertex AI, BigQuery y Cloud Storage.

Se valorará positivamente la experiencia en:

• Experiencia en la industrialización de proyectos en grandes organizaciones en preferencia en Retail
• Familiaridad con metodologías ágiles (Scrum, Kanban).
• Nivel alto de inglés o francés

¡Valoramos todas las candidaturas!