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Lead Data Scientist (Generative AI) Job Opening In Poland, Poland – Now Hiring SoftServe


Job description

WE ARE

SoftServe is a global digital solutions company, headquartered in Austin, Texas, and founded in 1993.

With 2,000+ active projects across the USA, Europe, APAC, and LATAM, we deliver meaningful outcomes through bold thinking and deep expertise.

Our people create impactful solutions, drive innovation, and genuinely enjoy what they do.

The AI and Data Science Center of Excellence (CoE) is SoftServe’s premier AI/ML hub, primarily based in Europe.

With 130+ experts — including data scientists, research analysts, MLOps engineers, ML and LLM architects — we cover the full AI lifecycle, from problem framing to deployment.

In 2024, we delivered 150+ AI projects, including over 100 focused on Generative AI, combining scale with measurable impact.

We are a 2024 NVIDIA Service Delivery Partner and maintain strong collaborations with Google Cloud, Amazon, and Microsoft, ensuring our teams always work with cutting-edge tools and technologies.

We also lead Gen AI Lab — our internal innovation engine focused on applied research and cross-functional collaboration in Generative AI.

In 2025, a key area of innovation is Agentic AI — where we design and deploy autonomous, collaborative agent systems capable of addressing complex, real-world challenges at scale for our clients and internally.

IF YOU ARE

  • Experienced in Generative AI and natural language processing (NLP) techniques, with expertise in large-scale transformer models and generative pre-trained LLMs (GPT-4, Claude, Gemini, etc.)
  • Knowledgeable of diffusion models and cutting-edge frameworks for both text and image generation
  • Capable of leading AI initiatives by applying advanced deep learning and NLP techniques
  • Qualified with a or master’s degree in Computer Science or a related field
  • Well-versed in the latest machine learning, deep learning, and NLP advancements, with hands-on expertise in models like GPT-4 and BERT, including fine-tuning
  • Proficient in the AI project lifecycle, from development to operationalization and cloud deployment
  • Skilled in Python and deep learning frameworks such as TensorFlow or PyTorch
  • Possessing strong interpersonal, analytical, and problem-solving skills
  • Excellent at translating complex concepts for non-technical audiences
  • Fluent in business communication in English at an upper-intermediate level
  • AND YOU WANT TO

  • Work with the full stack of data analysis, deep learning, and machine learning model pipelines, including deep customer data analysis, modeling, and deployment in production
  • Choose relevant computational tools for study, experiment, or research objectives
  • Drive the development of innovative solutions for language generation, text synthesis, and creative content generation using the latest state-of-the-art techniques
  • Develop and implement advanced Generative AI solutions such as intelligent assistants, Retrieval-Augmented Generation (RAG) systems, and other innovative applications
  • Conduct and participate in AI workshops, discoveries, and initial engagements with clients
  • Design project scope, and roadmap, estimate analytical and deployment efforts
  • Lead a team of researchers to show the power of AI to clients effectively
  • Transform business challenges into an AI application
  • Work with clients by leading and participating in AI workshops, discoveries, and initial engagements
  • Present results directly to stakeholders and gather business requirements
  • Compile and interpret analysis results, as well as contribute to the proposals and architecture vision delivered to the customer
  • Use cutting-edge technology and tools to develop and implement data-driven solutions
  • Produce clear, concise, well-organized, and error-free computer programs using the appropriate technological stack
  • Develop expertise in state-of-the-art Generative AI techniques and methodologies
  • Work with Big Data solutions and advanced data tools in cloud platforms
  • Build and operationalize ML models, including data manipulation, experiment design, analysis plan development, and insight generation
  • TOGETHER WE WILL

  • Be part of a team that's shaping the future of AI and data science through innovation and shared growth.
  • Advance the frontier of Agentic AI by shaping intelligent multi-agent ecosystems that drive autonomy, scalability, and measurable business value
  • Have access to world-class training, cutting-edge research, and collaborate with top industry partners.
  • Maintain a synergy of Data Scientists, DevOps team, and ML Engineers to build infrastructure, set up processes, productize machine learning pipelines, and integrate them into existing business environments
  • Communicate with the world-leading companies from our logos portfolio
  • Enjoy the opportunity to work with the latest modern tools and technologies on various projects
  • Participate in international events and get certifications in cutting-edge technologies
  • Have access to powerful educational and mentorship programs
  • Revolutionize the software industry and drive innovation in adaptive self-learning technologies by leveraging multidisciplinary expertise
  • Required Skill Profession

    Computer Occupations


    • Job Details

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    The Work Culture

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    The fundamental ethical values are:

    1. Independence

    2. Loyalty

    3. Impartiapty

    4. Integrity

    5. Accountabipty

    6. Respect for human rights

    7. Obeying Poland laws and regulations

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    The average salary range for a varies, but the pay scale is rated "Standard" in Poland. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

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    Key qualifications for Lead Data Scientist (Generative AI) typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

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    Interview Tips for Lead Data Scientist (Generative AI) Job Success

    SoftServe interview tips for Lead Data Scientist (Generative AI)

    Here are some tips to help you prepare for and ace your Lead Data Scientist (Generative AI) job interview:

    Before the Interview:

    Research: Learn about the SoftServe's mission, values, products, and the specific job requirements and get further information about

    Other Openings

    Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

    Dress Professionally: Choose attire appropriate for the company culture.

    Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

    Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

    During the Interview:

    Be Punctual: Arrive on time to demonstrate professionalism and respect.

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    Final Thought:

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    By following these tips, you can increase your chances of making a positive impression and landing the job!

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