Data Scientist Consultant, GFS EMEA

Are you looking to work at the forefront of Machine Learning and AI Would you be excited to apply cutting edge Generative AI algorithms to solve real world problems with significant impact The Generative AI Innovation Center at AWS is a new strategic team that helps AWS customers implement Generative AI solutions and realize transformational business opportunities. This is a team of strategists data scientists engineers and solution architects working step-by-step with customers to build bespoke solutions that harness the power of generative AI.

You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments research new algorithms and find new ways of optimizing risk profitability and customer experience.

Were looking for Data Scientists capable of using GenAI and other techniques to design evangelize and implement state-of-the-art solutions for never-before-solved problems.


Do you look around corners for ways to engage and service customers Are you passionate about using technology to solve business problems that have big customer impact
Come build the future with us.


Key job responsibilities
As a Data Scientist you will
- Collaborate with AI/ML scientists and architects to Research design develop and evaluate cutting-edge generative AI algorithms to address real-world challenges
- Interact with customers directly to understand the business problem help and aid them in implementation of generative AI solutions deliver briefing and deep dive sessions to customers and guide customer on adoption patterns and paths to production
- Create and deliver best practice recommendations tutorials blog posts sample code and presentations adapted to technical business and executive stakeholder
- Provide customer and market feedback to Product and Engineering teams to help define product direction

About the team
AWS Global Services includes experts from across AWS who help our customers design build operate and secure their cloud environments. Customers innovate with AWS Professional Services upskill with AWS Training and Certification optimize with AWS Support and Managed Services and meet objectives with AWS Security Assurance Services. Our expertise and emerging technologies include AWS Partners AWS Sovereign Cloud AWS International Product and the Generative AI Innovation Center. Youll join a diverse team of technical experts in dozens of countries who help customers achieve more with the AWS cloud.

Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description we encourage candidates to apply. If your career is just starting hasnt followed a traditional path or includes alternative experiences dont let it stop you from applying.

Why AWS
Amazon Web Services (AWS) is the worlds most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating thats why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Inclusive Team Culture
Here at AWS its in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences inspire us to never stop embracing our uniqueness.

Mentorship & Career Growth
Were continuously raising our performance bar as we strive to become Earths Best Employer. Thats why youll find endless knowledge-sharing mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home theres nothing we cant achieve in the cloud.

- Bachelors OR Master degree with several years of experience
- Several years of data querying languages (e.g. SQL) scripting languages (e.g. Python) or statistical/mathematical software (e.g. R SAS Matlab etc.) experience
- Experience in any of the following areas: algorithms and data structures parsing numerical optimization data mining parallel and distributed computing high-performance computing neural deep learning methods and/or machine learning
- Experience in using Python and hands on experience building models with deep learning frameworks like Tensorflow Keras PyTorch MXNet
- Excellent French and English communication skills

- PhD or Masters degree in computer science engineering mathematics operations research or in a highly quantitative field
- Practical experience in solving complex problems in an applied environment
- Hands on experience with deep learning (e.g. CNN RNN LSTM Transformer)
- Prior experience in training and fine-tuning of Large Language Models (LLMs)

Amazon est un employeur engagé pour légalité des chances. Nous sommes convaincus quune main doeuvre diversifée est essentielle à notre réussite. Nous prenons nos décisions de recrutement en fonction de votre expérience et de vos compétences. Nous apprécions votre envie de découvrir dinventer de simplifier et de construire. La protection de votre vie privée et la sécurité de vos données constituent depuis longtemps une priorité absolue pour Amazon. Veuillez consulter notre Politique de Confidentialité pour en savoir plus sur la façon dont nous collectons utilisons et traitons les données personnelles de nos candidats.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.