Senior Data Scientist (Data&AI)

4900 Accenture Sp. z o.o. Company; Warszawa; Hybrid; PLN 180,000 - 280,000; Full time

Benefits offered by this job

Permanent contract

Development path with People Lead and/

Training package and coaching

Employee Assistance Program

Employee Share Purchase Plan

Referral program

Private medical care & life insurance

Worksmile access + Multisport

Job summary

Accenture Poland seeks a data scientist / ML engineer to design and develop machine learning and predictive analytics solutions, validate results, and translate business needs into analytics objectives. You will build scalable solutions using Python, PySpark, cloud platforms, and ML frameworks for large datasets.

The role offers flexible work arrangements, collaboration with clients and peers, and exposure to Responsible AI and Generative AI use cases.

Qualifications

• Minimum 4 years of professional experience in Data Science, ML, Data Engineering, or related area.
• Bachelor’s degree or higher in Computer Science, Mathematics, Statistics, Data Science, or another relevant technical field.
• Strong hands-on skills in Python and PySpark, data wrangling, feature engineering, distributed processing, and large-scale datasets.
• Solid knowledge of ML, predictive modeling, statistics, and probability with libraries such as scikit-learn, XGBoost, PyTorch, or TensorFlow.
• Experience with MLOps including experiment tracking tools like MLflow or Weights & Biases, CI/CD for ML models.
• Strong experience with cloud platforms (AWS, Azure, or GCP) for deployment and data processing.
• Experience working with clients, translating business requirements into analytic objectives and communicating findings.

Responsibilities

• Design and develop machine learning and predictive analytics solutions, selecting modeling approaches and validating results.
• Work directly with clients to understand business needs, translate into analytics objectives, communicate findings, and recommend actions.
• Build scalable analytical solutions using Python, PySpark, cloud platforms, and ML frameworks with large datasets.
• Apply MLOps, model deployment, CI/CD, and Responsible AI principles, ensuring model explainability and continuous progress.
• Explore Generative AI use cases like Text-to-SQL, data summarization, and conversational analytics, staying curious and learning.

Skills

Python

PySpark

ML libraries

MLOps

Cloud platforms

Client collaboration

Responsible AI

LLMs / Generative AI

AI development tools

English (C1)

Education

Bachelor's degree or higher in CS/Math/Stats/Data Science

Tools

Databricks

NLP / text data

RAG pipelines

Embeddings / vector databases

Power BI / Tableau / Streamlit

Docker / FastAPI / Flask

Kaggle / open-source projects

Job description

WHO WE ARE

Accenture is a leading global professional services company that helps the world’s leading businesses, governments, and other organizations build their digital core, optimize their operations, accelerate revenue growth, and enhance citizen services. We offer solutions and assets across Strategy, Consulting, Technology, Operations, Industry X, and Accenture Song. At the Data & Applied Intelligence hub, we work locally and globally with over 250 Poland‑based specialists. Our expertise spans data architecture and sectoral specialization. We collaborate with tech partners like Microsoft, AWS, Google, Oracle, and Snowflake to implement cutting‑edge solutions. We provide comprehensive support from strategy definition to solution implementation and development, covering all aspects of Data & Analytics. For more information about Accenture Technology Poland, please visit our website:

THE WORK

Design and develop machine learning and predictive analytics solutions, selecting suitable modeling approaches and rigorously validating results while pursuing continuous learning. Work directly with clients to understand business needs, translate them into analytics objectives, communicate findings, and recommend actions that create business value. Build scalable analytical solutions using Python, PySpark, cloud platforms, and ML frameworks, working with large datasets and applying feature engineering and statistical methods. Apply MLOps practices, experiment tracking, model deployment, CI/CD, Responsible AI principles, and model explainability, demonstrating a commitment to constant progress. Explore how LLMs and Generative AI can support analytics use cases such as Text‑to‑SQL, data summarization, and conversational analytics, while staying motivated to embrace new opportunities and dedicated to evolving skills. Flexible: The work location for this role may include a mix of working remotely (most of the time), onsite at a client or in an Accenture office – depending on specific project circumstances. With all our roles, there is some in‑person time for collaboration, learning, and building relationships with clients, peers, leaders, and communities. As an employer, we will be as flexible as possible to support your specific work/life needs.

WHAT’S IN IT FOR YOU

Work on projects for international clients and broaden your expertise across Data Science, Machine Learning, Generative AI, and cloud technologies. Develop your skills by solving analytical problems that connect advanced modeling with real business needs. Collaborate with experienced Data & AI specialists while gaining exposure to different technologies, industries, and analytical use cases.

HERE’S WHAT YOU’LL NEED

• Minimum 4 years of professional experience in Data Science, Machine Learning, Data Engineering, or a closely related area.
• Bachelor’s degree or higher in Computer Science, Mathematics, Statistics, Data Science, or another relevant technical field.
• Strong hands‑on skills in Python and PySpark, including data wrangling, feature engineering, distributed processing, and working with large‑scale datasets.
• Solid knowledge of machine learning, predictive modeling, statistics, and probability, with experience using libraries or frameworks such as scikit‑learn, XGBoost, PyTorch, or TensorFlow.
• Practical experience with MLOps, including experiment tracking tools such as MLflow or Weights & Biases, CI/CD for ML models.
• Strong experience with cloud platforms (AWS, Azure, or GCP) for model deployment and data processing.
• Experience working directly with external clients, gathering and translating business requirements into analytical objectives and communicating analytical findings and actionable recommendations.
• Understanding of Responsible AI, including model fairness, explainability, and bias mitigation, together with knowledge of LLMs and Generative AI and their application to analytical use cases.
• Proficiency with AI‑assisted development tools such as Cursor, Copilot, or similar solutions as part of your development workflow.
• Fluent English, minimum C1 level.

BONUS POINTS IF YOU HAVE

• Experience with Databricks and building NLP solutions or processing text data at scale.
• Hands‑on experience with RAG pipelines, embeddings, or vector databases in analytical use cases.
• Experience with visualization solutions such as Power BI, Tableau, or Streamlit, containerization and API tooling such as Docker, FastAPI, or Flask, or contributions to open‑source projects, research, or Kaggle competitions.

WHAT WE OFFER

• A permanent employment contract.
• Individual support of a People Lead and a specific path of professional development, as well as the possibility of a session with a Coach.
• A wide training package including soft, technical, and language training, access to e‑learning platforms, Gallup test, GenAI training, and the possibility of co‑financing courses and certification.
• Employee Assistance Program with legal, financial, and psychological consultations.
• Accenture employees eligible for the Employee Share Purchase Plan automatically become eligible for quarterly dividends if they own company shares.
• Paid employee referral program.
• Private medical care and life insurance.
• Access to the Worksmile platform, with the possibility of using a wide range of products and services, including the Multisport card.

About Accenture

Accenture is a leading global professional services company that helps the world’s leading businesses, governments, and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent‑and innovation‑led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy, Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities. Visit us at www.accenture.com.

Equal Employment Opportunity Statement

We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, sexual orientation, gender identity or expression, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities. Bring your incredible skills and join our global team of innovators. We come together from different backgrounds across the world and work with the latest technologies to create value and growth for our clients. With us, you’ll continue to learn and grow so you can advance in your career. Your personal dreams and ambitions are just as important to us; that’s why we offer support any way we can—when you thrive, we all thrive.

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