Senior Data Scientist

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.

Job Location - New York City NY (Day One Onsite, hybrid)

Key Responsibilities

We are seeking a seasoned Senior Data Scientist with 15+ years of experience in developing and deploying machine learning solutions.

The ideal candidate should have hands-on expertise in MLOps (at least two end-to-end production deployments), solution architecture, and experience with one major cloud platform (AWS, Azure, or GCP) is an added advantage.

Strong skills in Python, SQL, PySpark, Generative AI (GenAI), and NLP are required.

Architect and deploy scalable ML/AI solutions, including MLOps pipelines for CI/CD, model monitoring, and governance.

Lead the design and development of GenAI and NLP solutions for applications such as text summarization, conversational AI, and entity recognition.

Build and optimize data pipelines using PySpark and SQL for large-scale data processing.

scalable ML development and deployment

Collaborate with stakeholders to align AI initiatives with business goals and mentor junior team members

Required Skills

Bachelors degree with 10-12 years of exp in Data, AI, ML

Programming: Python (Pandas, NumPy, PyTorch, TensorFlow), SQL.

MLOps: Experience with tools like MLflow, Kubeflow, Docker, Kubernetes, and CI/CD pipelines.

Generative AI & NLP: Expertise in transformer models (e.g., GPT, BERT), Hugging Face, and LangChain.

Data Engineering: Proficient in PySpark and distributed data processing.

Cloud Platforms: Proven experience with one major cloud platform (AWS, Azure, or GCP) is an added advantage

Mandatory Skills

Expertise in data architecture, modeling (dimensional, relational, etc.), and cloud/on-prem hybrid environments.

Strong in Python, PySpark; proficiency in SQL.

Experience with entity resolution, data governance tools.

Exposure to GenAI, ML, or LLM integration is a plus.

Familiarity with financial products, GL data, or finance operations preferred.

Life At Capgemini

Capgemini supports all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer:

Flexible work

Healthcare including dental, vision, mental health, and well-being programs

Financial well-being programs such as 401(k) and Employee Share Ownership Plan

Paid time off and paid holidays

Paid parental leave

Family building benefits like adoption assistance, surrogacy, and cryopreservation

Social well-being benefits like subsidized back-up child/elder care and tutoring

Mentoring, coaching and learning programs

Employee Resource Groups

Disaster Relief

Disclaimer

Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.

This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodations do not pose an undue hardship.

Capgemini is committed to providing reasonable accommodations during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.

Click the following link for more information on your rights as an Applicant http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law

Salary Transparency

Capgemini discloses salary range information in compliance with state and local pay transparency obligations. The disclosed range represents the lowest to highest salary we, in good faith, believe we would pay for this role at the time of this posting, although we may ultimately pay more or less than the disclosed range, and the range may be modified in the future. The disclosed range takes into account the wide range of factors that are considered in making compensation decisions including, but not limited to, geographic location, relevant education, qualifications, certifications, experience, skills, seniority, performance, sales or revenue-based metrics, and business or organizational needs. At Capgemini, it is not typical for an individual to be hired at or near the top of the range for their role. The base salary range for the tagged location is $110841 to $145000 /yearly.

This role may be eligible for other compensation including variable compensation, bonus, or commission. Full time regular employees are eligible for paid time off, medical/dental/vision insurance, 401(k), and any other benefits to eligible employees.

Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, or any other form of compensation that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company’s sole discretion, consistent with the law.

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fuelled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of €22.5 billion.

Ref. code: 199659

Posted on: Mar 27, 2025

Experience Level: Experienced Professionals

Contract Type: Permanent

Location:

New York, US

Brand: Capgemini

Professional Community: Data & AI

Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.
Job Location - New York NY (Day One Onsite - 3 days in a week)  Key Responsibilities   Architect and deploy scalable ML/AI solutions, including MLOps pipelines for CI/CD, model monitoring, and governance.
Lead the design and development of GenAI and NLP solutions for applications such as text summarization, conversational AI, and entity recognition.
Build and optimize data pipelines using PySpark and SQL for large-scale data processing.
Collaborate with stakeholders to align AI initiatives with business goals and mentor junior team members.
Required Skills   Bachelor's degree with 10-12 years of experience in Data, AI, ML.
MLOps: Experience with tools like MLflow, Kubeflow, Docker, Kubernetes, and CI/CD pipelines.
Generative AI & NLP: Expertise in transformer models (e.g., GPT, BERT), Hugging Face, and LangChain.
Data Engineering: Proficient in PySpark and distributed data processing.
Cloud Platforms: Proven experience with one major cloud platform (AWS, Azure, or GCP) is an added advantage.
Mandatory Skills
Expertise in data architecture, modeling (dimensional, relational, etc.), and cloud/on-prem hybrid environments.
Strong in Python, PySpark; proficiency in SQL.
Experience with entity resolution, data governance tools.
Exposure to GenAI, ML, or LLM integration is a plus.
Familiarity with financial products, GL data, or finance operations preferred.
Life At Capgemini  Capgemini supports all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer:
Healthcare including dental, vision, mental health, and well-being programs.
Financial well-being programs such as 401(k) and Employee Share Ownership Plan.
Paid time off and paid holidays.
Paid parental leave.
Family building benefits like adoption assistance, surrogacy, and cryopreservation.
Social well-being benefits like subsidized back-up child/elder care and tutoring.
Mentoring, coaching and learning programs.
Employee Resource Groups.
Disaster Relief.
Disclaimer  Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.
This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodations do not pose an undue hardship.
Capgemini is committed to providing reasonable accommodations during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.
Click the following link for more information on your rights as an Applicant  here .
Salary Transparency  Capgemini discloses salary range information in compliance with state and local pay transparency obligations. The disclosed range represents the lowest to highest salary we, in good faith, believe we would pay for this role at the time of this posting, although we may ultimately pay more or less than the disclosed range, and the range may be modified in the future. The disclosed range takes into account the wide range of factors that are considered in making compensation decisions including, but not limited to, geographic location, relevant education, qualifications, certifications, experience, skills, seniority, performance, sales or revenue-based metrics, and business or organizational needs. At Capgemini, it is not typical for an individual to be hired at or near the top of the range for their role. The base salary range for the tagged location is $110,841 to $145,000 /yearly.
This role may be eligible for other compensation including variable compensation, bonus, or commission. Full time regular employees are eligible for paid time off, medical/dental/vision insurance, 401(k), and any other benefits to eligible employees.
Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, or any other form of compensation that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company’s sole discretion, consistent with the law.
Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fuelled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of €22.5 billion.
When you join Capgemini, you don’t just start a new job. You become part of something bigger.
Learn about how the recruitment process works – how to apply, where to follow your application, and next steps.
To help you bring out the best of yourself during the interview process, we’ve got some great interview tips to share before the big day.

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Position :- Data Scientist Experience :- 4-10 yrs Location :- BangaloreJob Description :- <ul><li>Proficiency in programming languages like Python</li><li>Skills in handling and analysing large datasets, including data cleaning, wrangling, transformation, and exploratory data analysis (EDA) using tools like pandas.</li><li>Knowledge of statistical concepts such as hypothesis testing, regression analysis, ANOVA, experimental design, and probability theory.</li><li>Understanding machine learning algorithms, supervised and unsupervised learning, feature engineering, model selection and evaluation, and hyperparameter tuning is essential, with libraries like scikit-learn, TensorFlow, or PyTorch commonly used. Knowledge of YOLO is desirable</li><li>Data visualisation skills using libraries like Matplotlib, Seaborn, or ggplot</li><li>Familiarity with big data technologies like Apache Hadoop, Apache Spark, or distributed databases enables the processing and analysis of large-scale datasets.</li><li>Proficiency in SQL and database management</li><li>Knowledge of data engineering concepts, including data pipelines, integration, warehousing, and architecture, is beneficial.</li><li>Cloud computing platforms (Azure) and services like Azure Machine Learning can be advantageous.</li><li>Proficiency in version control systems like Git is crucial for effective collaboration and code management.</li></ul> ------------------------------------------------------------------------------------At Capgemini, we aim to attract the best talent and are committed to creating a diverse and inclusive work environment, so there is no discrimination based on race, sex, sexual orientation, gender identity or expression, or any other characteristic of a person. All applications welcome and will be considered based on merit against the job and/or experience for the position.------------------------------------------------------------------------------------

Elegir Capgemini es elegir la posibilidad de dar forma a tu carrera profesional como desees. Recibirás el apoyo y la inspiración de una comunidad colaborativa de colegas de todo el mundo y podrás reinventar lo que es posible. Únete a nuestro equipo y ayuda a las principales organizaciones del mundo a descubrir el valor de la tecnología y a construir un mundo más sostenible e inclusivo.¿Te apetece sumarte a nosotros y participar en proyectos multisectoriales en un equipo conformado por profesionales del dato como Data Scientists, Data Engineers o Data Analysts? Nuestro objetivo es ayudar a nuestros clientes en el camino hacia la innovación continua. ¿Qué harás en el proyecto? ¿Cuál será tu rol?Tu misión será liderar, impulsar y desarrollar técnicamente con autonomía iniciativas en el ámbito de la IA generativa y ML y también:<ul><li>Diseñarás, desarrollarás y realizarás el despliegue de soluciones usando modelos de Machine Learning , Deep Learning y Computer Vision.</li><li>Desarrollarás proyectos con NLP y LLMs.</li><li>Gestionarás y manipularás conjuntos de datos: Definición e identificación de variables de aprendizaje, generación de nuevos conjuntos, realización de transformaciones y limpieza .Definirás procesos de Aprendizaje Automático End-to-End.</li><li>Desarrollarás procesos de entrenamiento mediante diferentes tipos de frameworks (TF, PyTorch, Scikit-learn, etc).</li><li>Desarrollarás procesos de inferencia en entornos On-premise o Cloud.</li><li>Realizarás el mantenimiento de modelos existentes de Aprendizaje Automático.</li><li>Liderarás equipos técnicos de proyecto.</li><li>Realizarás la mentorización de Data Scientists Junior o en formación.</li><li>Participarás en propuestas técnicas a nivel nacional e internacional.</li></ul> Para desenvolverte bien en la posición se requieren conocimientos en/de:Es necesario que aportes Grado en Informática, Matemáticas, Física o Ingenierías similar y puedas desenvolverte bien con:<ul><li>Experiencia en el desarrollo de proyectos en el entorno de la IA generativa trabajando con NLP, LLMs,</li><li>Experiencia contrastada de más de 3 años en proyectos aplicando técnicas de ML y DL en entornos productivos.</li><li>Experiencia en la definición, creación, despliegue y mantenimiento de modelos de ML y DL sobre entornos productivos.</li><li>Conocimiento sobre Python y/o R en el ámbito de la ciencia de datos.</li><li>Conocimiento Databricks.</li><li>Conocimientos avanzados sobre frameworks de Aprendizaje Automático (TF, PyTorch, Scikit-learn, etc).</li><li>Conocimientos avanzados sobre servicios analíticos cloud sobre AWS, GCP o Azure.</li><li>Capacidad para trabajar en equipo de manera efectiva.</li><li>Proactividad a la hora de construir soluciones y aplicar nuevas funcionalidades relacionadas con la tecnología en uso.</li></ul>Además, sería genial si tienes:<ul><li>PhD o Máster en ciencias de computación, ciencia de datos, inteligencia artificial, matemáticas o estadística.</li><li>Conocimientos avanzados sobre Apache Spark en el ámbito de la ciencia de datos (PySpark).</li><li>Conocimiento sobre Docker y/o Kubernetes.</li><li>Conocimiento sobre herramientas de visualización de datos (PowerBI o similares).</li><li>Certificaciones en AWS, GCP o Azure (u otras plataformas cloud equivalentes para el tratamiento de datos).</li><li>Experiencia desarrollando y utilizando aplicaciones de tipo SaaS.</li><li>Conocimiento y aplicación de la ciencia de datos en diferentes sectores e industrias: banca, seguros, telco, retail, etc.</li></ul> Se valorará positivamente el poseer certificado de discapacidad, en el marco de nuestra política de inclusión y diversidad. Valoraremos todas las candidaturas. Contamos con una amplísima oferta formativa, presencial, online de Certificaciones, etc. Aunque no tengas el 100% de los conocimientos valorados ¡nos encantará conocerte! Nuestro compromiso con la inclusión e igualdad de oportunidades hace que tengamos un Plan de Igualdad y un Código Ético que garantizan el desarrollo profesional de la plantilla y la igualdad de oportunidades en su selección dentro de un entorno libre de discriminación por cuestión de etnia, nacionalidad, origen social, edad, orientación sexual, expresión de género, religión o cualquier otra circunstancia personal, física o social. ¿Qué te gustará de trabajar aquí?Tenemos un catálogo de medidas de Desarrollo y Conciliación muy completo, como son, por ejemplo:• Un ambiente de trabajo único muy valorado por nuestros profesionales en las evaluaciones periódicas.• Wellbeing HUB - Incluye políticas y acciones para la salud física (Wellhub) y mental.• 24 días de vacaciones + 2 asuntos propios + 24 y 31 de diciembre + opción a comprar hasta 7 días de vacaciones al año.• FlexAbroad: posibilidad de trabajar en remoto desde otro país durante 45 días.• Plan de Compensación Flexible (seguro médico, transporte, formación, tarjeta restaurante o subvención de comida, guardería…)• Formación continua, podrás disfrutar de Mylearning y de Capgemini University y de nuestros Campus Digitales y Comunidades profesionales. Tendrás acceso a plataformas como: Coursera, Udemy, Pluralsight, Harvard Manager Mentor, Education First para idiomas (inglés francés, alemán…) ¡entre otras!• Participación en Acciones de Voluntariado y Acción Social con nuestros Grupos de Sostenibilidad, Inclusión e Igualdad.• Acompañamiento en tus inicios con el programa de Buddies.• Seguro de Vida y Accidentes ¿Por qué Capgemini?Capgemini es líder global en transformando los negocios de los clientes aprovechando todo el poder de la tecnología. Nos guía el propósito de lograr un futuro inclusivo y sostenible a través de la tecnología y de la energía de quienes la desarrollamos. Somos una compañía responsable y diversa, líder internacional en servicios de IT e Ingeniería con más de 360.000 profesionales en más de 50 países. Con una sólida herencia de 55 años y una amplia experiencia en la industria, los clientes confían en Capgemini para abordar la totalidad de sus necesidades comerciales, desde la estrategia y el diseño hasta las operaciones, impulsadas por el rápido y novedoso mundo de la nube, los datos, la IA, la conectividad, el software, las plataformas e ingeniería digitales. El Grupo reportó en 2022 ingresos globales de €22 mil millones.Reescribe tu futuro. ¡Únete al equipo!www.capgemini.com/es-es

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