Senior Data Scientist
5 days ago
- 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.
- 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.
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 TEAMInsights & 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- Well-being culture: medical care with Medicover, private life insurance, and Multisport card. But we went one step further by creating our own Capgemini Helpline offering therapeutical support if needed and the educational podcast "Let's talk about wellbeing" which you can listen to on Spotify.
- Access to over 70 training tracks with certification opportunities (e.g., GenAI, Excel, Business Analysis, Project Management) on our NEXT platform. Dive into a world of knowledge with free access to Education First languages platform, Pluralsight, TED Talks, Coursera and Udemy Business materials and trainings.
- Enjoy hybrid working model that fits your life - after completing onboarding, connect work from a modern office with ergonomic work from home thanks to home office package (including laptop, monitor, and chair). Ask your recruiter about the details.
- Award-Winning Stability & Culture: Become part of an organization celebrated as "Top Employer Poland 2024" - in the audit our stable and supportive work environment scored 100%
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.
ABOUT CAPGEMINICapgemini is a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided everyday by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization of over 360,000 team members globally in more than 50 countries. With its strong 55-year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fueled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering and platforms.
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,[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 engineering, Azure, Python, Databricks, Snowflake, SQL, DevOps, CD pipelines, Infrastructure as Code, Terraform, Bicep, Data Lake, Docker, Kubernetes, Cloud, Security, Kafka, Spark Streaming, PySpark Additionally: Training budget, Sport subscription, Private healthcare, International projects, Free coffee, Bike parking, Free parking, Mobile phone, In-house trainings, Modern office, No dress code.-
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