Data Scientist in GenAI team

Sorry, this job was removed at 02:59 p.m. (CST) on Thursday, May 08, 2025
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Warsaw, Warszawa, Mazowieckie
In-Office
AdTech • Beauty • Marketing Tech • Retail • Pharmaceutical
The Role

Job Location

Warsaw

Job Description

As part of newly created Generative AI Accelerator team we are working on utilizing Generative AI technologies - Large Language Models to support various business use cases like interpretation of Image data to accelerate processes, RAG models for knowledge management, Agentic solutions to support process simplification use cases. Once given high level idea is proven to work via Proof-of-Concept we package it for production deployment - ensuring IT compliance, operational resilience, supportability, optimized costs. 

With the rapid growth of demand for GenAI-based solutions we are seeking candidates for Data Scientist position. Selected candidate will lead the evaluation of GenAI models for applicability to cover business use cases and then contribute to ongoing improvement of solutions based on them. If you are interested in modern technologies, have scientific mind, seek opportunity to utilize your skills in real value added project - this position is for you.

In this role you will work on projects with Business Experts and Product Owners to understand their business needs. Then you will be able to use your Data Science skills (using existing tools as well as hands-on coding) to confirm GenAI solutions/models applicability. You will then cooperate with Software Engineers in building the final E2E solution and deploy it to Cloud-hosted environments

On top of project work company will give you opportunity for growth via professional trainings and certifications. Finally you will be able to engage in organization and community building activities like sports activities, natural environment protection events, helping people in need.

Responsibilities

  • Work on text, image, video analysis and interpretation business use cases: planning and executing (through hands-on coding) experimentation process to define optimal combination of GenAI models, their parametrization and Prompt Engineering techniques to achieve optimal output accuracy

  • Design GenAI-based solutions for optimal usage of GenAI models

  • Support testing process during implementation projects of these solutions

  • Design, implement and execute ongoing maintenance process (including evaluation of new GenAI models) for the solutions

  • Contributing to handover of the system to hosting platform support (evaluation model part)

  • Support platform optimization projects in terms of simplification and unification of processes, cost reduction

  • Building and applying Data Science knowledge and expertise to optimize effectiveness/accuracy of existing GenAI-based solutions and to be able to support new use cases and related projects

  • Contribution to organization capability building via running trainings and onboarding sessions

Job Qualifications

  • Python programming language - proficient level (Pandas, Numpy, Matplotlib, Pydantic, Scikit-Learn, Langchain)

  • Azure Cloud platform experience (Azure Machine Learning, Azure Data Factory)

  • Data Science, Machine Learning projects experience

  • Hands-on knowledge of AzureML, Google Vertex AI and GitHub Actions

  • Strong written and verbal English language communication skills

  • Ability to work collaboratively in multinational/multicultural environment 

  • Ability to handle multiple priorities

Nice to have:

  • Experience with usage of GenAI (ChatGPT, Google Gemini) APIs for multimodal input processing

  • Google Cloud platform experience as an additional benefit

  • Familiarity/basic experience in Agile, CI/CD, DevOps, Git, Docker, MySQL

What we offer

  • Industry Certifications (e.g. DevOps, Azure, and many others)

  • Competitive salary and benefits program (private health care, life insurance, P&G stock options, saving plans, lunch subsidy, sports cards, in-office fitness center)

  • Internal coaching programs & training

  • Flexible working arrangements

  • A long-term career with development and growth opportunities

Who we are

Information Technology (IT) at Procter & Gamble is where business, innovation, and technology integrate to create a competitive advantage for P&G.  Our mission is clear - we deliver IT to help P&G win with the over 5 billion consumers we serve worldwide.  Our IT professionals are diverse business leaders who apply IT mastery to deliver game-changing, technology-driven business models and capabilities for our 65 iconic, trusted brands.

Kindly be advised that at P&G, employment is exclusively extended on the basis of "Umowa o Pracę" (Full-time Employment Contract). Apply only if you agree to these conditions.

Job Schedule

Full time

Job Number

R000120563

Job Segmentation

Experienced Professionals (Job Segmentation)

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The Company
HQ: Cincinnati, OH
117,512 Employees

What We Do

Procter & Gamble Company is an American multi-national consumer goods corporation.

P&G was founded over 180 years ago as a soap and candle company. Today, we’re the world’s largest consumer goods company and home to iconic, trusted brands, including Always®, Charmin®, Braun®, Fairy®, Febreze®, Gillette®, Head & Shoulders®, Oral B®, Pantene®, Pampers®, Tide®, and Vicks®.

The design, development, growth and success of these products—and many more—is thanks to the innovative and insightful minds of our people. From Day 1, you’ll help make everyday life easier for our 5 billion consumers through billion dollar brands. With our large global footprint, there are many opportunities to work with P&G in multiple locations.

We offer opportunities in approximately 70 countries and continually aim to attract, reward and advance the finest people in the world. As a "build from within"​ organization, we see 95% of our people start at an entry level and progress through the organization. Here, we want you to get your career off to a fast start. That's why we don't have any rotational development programs or gradual ramping-up periods: you’ll be able—and encouraged—to dive right in from day 1.

Join us and help make life better through meaningful work that makes an impact from Day 1.

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