Classical / GenAI - Senior Data Scientist @

5 days ago

Poznań Kraków Warszawa Wrocław, Czech Republic Capgemini Polska Sp. z o.o. Full time
YOUR PROFILE:
  • master's or PhD in Computer Science, Mathematics, Statistics, or a related field
  • at least 3 years of experience in a data science role
  • expertise in machine learning and deep learning, particularly with generative models
  • strong programming skills in Python, including experience with ML frameworks like TensorFlow or PyTorch
  • good understanding of data structures, data modeling, and software architecture
  • demonstrated ability to lead projects and work collaboratively in a team environment
  • good problem-solving skills and the ability to work on complex issues requiring innovative solutions
  • good communication skills, the ability to explain complex technical concepts to non-technical stakeholders.

NICE TO HAVE:
  • publications in journals or conferences in the AI/ML field
  • experience with cloud platforms (AWS, Azure, GCP) and MLOps tools
  • contributions to open-source projects related to AI and machine learning.
Senior Data Scientist - Classical / GenAI 

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.    

YOUR TEAM:

Insights & Data delivers state-of-the-art Data solutions. Our expertise primarily lies in Cloud & Big Data engineering, where we develop robust systems capable of processing extensive and complex datasets, utilizing specialized Cloud Data services across platforms like AWS, Azure, and GCP. We oversee the entire Software Development Life Cycle (SDLC) of these solutions, which involves not only leveraging data processing tools such as ETL but also extensive programming in languages like Python, Scala, or Java, coupled with the adoption of DevOps tools and best practices. The processed data is then made accessible to downstream systems through APIs, outbound interfaces, or is visualized via comprehensive reports and dashboards. Additionally, within our AI Center of Excellence, we undertake Data Science and Machine Learning projects with a focus on cutting-edge areas such as Generative AI, Natural Language Processing (NLP), Anomaly Detection, and Computer Vision. 



WHAT YOU'LL LOVE ABOUT WORKING HERE:

Practical benefits: permanent employment contract from the first day; hybrid, flexible working model; equipment package for home office; private medical care  with Medicover; life insurance; Capgemini Helpline; NAIS benefit platform.

Access to 70+ training tracks with certification opportunities; platform with free access to Pluralsight, TED Talks, Coursera, Udemy Business and SAP Learning HUB

Community Hub that will allow you to choose from over 20 professional communities that gather people interested in, among others: Salesforce, Java, Cloud, IoT, Agile, AI. 

GET TO KNOW US

Capgemini is committed to diversity and inclusion, ensuring fairness in all employment practices. We evaluate individuals based on qualifications and performance, not personal characteristics, striving to create a workplace where everyone can succeed and feel valued.

Do you want to get to know us better? Check our Instagram — @capgeminipl or visit our Facebook profile — Capgemini Polska. You can also find us on TikTok — @capgeminipl.

,[Designing, developing, and deploying state-of-the-art data science solutions in area of GenAI, Computer Vision, RCA, EDA, NLP , Cooperating with the client stakeholders , Leading data science projects from conception to deployment, including data collection, preprocessing, model development, and performance evaluation , Collaborating with cross-functional teams (including engineers, product managers, and other data scientists) to integrate AI models into our products and services. ] Requirements: Data science, Machine learning, Deep learning, Generative models , Python, AI, PyTorch, Data structures, Data modeling, TensorFlow , Software architecture, ML, Cloud platform, Azure, AWS, GCP Additionally: Private healthcare, Home office, Benefit platform, Certificates, Flexible working hours, Pluralsight, Life insurance, Udemy for business.

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