Data Scientist (AI&Data)

4900 Accenture Sp. z o.o. Company; Warszawa; Hybrid; PLN 180,000 - 240,000; Full time

Benefits offered by this job

Permanent contract

Mentor support

Training package

Employee assistance

Share purchase plan

Referral programme

Private medical care

Worksmile benefits

Interview note

Job summary

Accenture Poland is seeking a Data Scientist to design and deliver data-driven solutions that turn enterprise data into actionable insights and intelligent products for global clients.

You will build ML models, design analytics pipelines, leverage GenAI and LLMs, translate business requirements into data science approaches, and collaborate with engineers, architects and consultants across cross-functional teams.

Qualifications

• Min. 3 years of commercial experience in Data Science, Machine Learning, or a related analytical role.
• Strong Python skills and advanced SQL knowledge.
• Solid foundation in statistics, machine learning, and predictive modelling – able to select the right approach and validate results rigorously.
• Experience with ML frameworks and libraries (e.g., scikit-learn, XGBoost, PyTorch, TensorFlow).
• Practical experience with data wrangling, feature engineering, and working with large-scale datasets.
• Familiarity with LLMs and Generative AI – understanding how to leverage foundation models for analytical tasks (e.g., Text-to-SQL, data summarisation, conversational analytics).
• Proficiency with AI‑assisted development tools (e.g., Cursor, Copilot, or similar) – we expect these to be a core part of your daily workflow, not an occasional add‑on.
• Experience with cloud platforms (AWS, Azure, or GCP) for model deployment and data processing.
• Good command of English (min. B2+)

Responsibilities

• Build and deploy machine learning models and analytical solutions that solve real business problems at scale for enterprise clients.
• Design and implement advanced analytics pipelines – from data exploration and feature engineering through model training, evaluation, and production deployment.
• Leverage GenAI and LLMs to augment data science workflows: conversational analytics, Text-to-SQL, automated insight generation, and intelligent data exploration over enterprise datasets.
• Translate business requirements into data science approaches – selecting the right methods, validating assumptions, and communicating results to both technical and non-technical stakeholders.
• Collaborate with engineers, architects, and consultants on cross-functional project teams, contributing to solution design and technical direction.

Skills

Data Science

Machine Learning

Python

SQL

Statistics

LLMs

GenAI

English (B2+)

Tools

scikit-learn

XGBoost

PyTorch

TensorFlow

Cursor

Copilot

AWS

Azure

GCP

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. At the AI&Data, 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.

THE WORK

As a Data Scientist, you will design and deliver data-driven solutions that turn complex enterprise data into actionable insights and intelligent products for leading global companies. We’re looking for people who combine strong analytical and statistical foundations with practical engineering skills – and who are eager to leverage GenAI as a force multiplier in their data science workflow. You will:

• Build and deploy machine learning models and analytical solutions that solve real business problems at scale for enterprise clients
• Design and implement advanced analytics pipelines – from data exploration and feature engineering through model training, evaluation, and production deployment
• Leverage GenAI and LLMs to augment data science workflows: conversational analytics, Text-to-SQL, automated insight generation, and intelligent data exploration over enterprise datasets
• Translate business requirements into data science approaches – selecting the right methods, validating assumptions, and communicating results to both technical and non-technical stakeholders
• Collaborate with engineers, architects, and consultants on cross-functional project teams, contributing to solution design and technical direction

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?

• High-impact analytical work at enterprise scale: solve complex data problems for organizations – where your models and insights directly shape business decisions.
• Data science meets GenAI: work at the intersection of classical ML and Generative AI – applying LLMs to unlock new ways of analyzing and interacting with enterprise data.
• A clear growth path within a world-class AI & Data team: build depth in both data science and GenAI, supported by experienced practitioners, on projects that push the boundaries of what’s possible with data.

HERE’S WHAT YOU’LL NEED

• Min. 3 years of commercial experience in Data Science, Machine Learning, or a related analytical role
• Strong Python skills and advanced SQL knowledge
• Solid foundation in statistics, machine learning, and predictive modelling – able to select the right approach and validate results rigorously
• Experience with ML frameworks and libraries (e.g., scikit-learn, XGBoost, PyTorch, TensorFlow)
• Practical experience with data wrangling, feature engineering, and working with large-scale datasets
• Familiarity with LLMs and Generative AI – understanding how to leverage foundation models for analytical tasks (e.g., Text-to-SQL, data summarisation, conversational analytics)
• Proficiency with AI‑assisted development tools (e.g., Cursor, Copilot, or similar) – we expect these to be a core part of your daily workflow, not an occasional add‑on
• Experience with cloud platforms (AWS, Azure, or GCP) for model deployment and data processing
• Good command of English (min. B2+)

BONUS POINTS IF YOU HAVE

• Experience building NLP solutions or working with text data at scale
• Hands‑on experience with RAG pipelines, embeddings, or vector databases in analytical contexts
• Familiarity with MLOps practices, experiment tracking (e.g., MLflow, Weights & Biases), and CI/CD for ML models
• Experience with data visualisation tools and building analytical dashboards (e.g., Power BI, Tableau, Streamlit)
• Knowledge of containerisation and API tooling (Docker, FastAPI, Flask)
• Understanding of Responsible AI principles and model fairness, explainability, and bias mitigation
• Contributions to open‑source projects, published research, or Kaggle competition experience

WHAT WE OFFER?

• A permanent employment contract
• Individual support of a People Lead and a clearly defined path of professional development, including the possibility of a session with a Coach
• A comprehensive training package, including: soft skills, technical and language training, access to e‑learning platforms, Gallup test, GenAI training, possibility of co‑financing courses and certifications
• Employee Assistance Programme offering legal, financial and psychological consultations
• Employee Share Purchase Plan – employees who own company shares are automatically eligible for quarterly dividends
• Paid employee referral programme
• Private medical care and life insurance
• Access to the Worksmile benefits platform (including the Multisport card)
• Interview Note: We value practical skills. During the technical interview, we’ll give you a real problem to solve and debug together – using your preferred development setup, including any AI‑assisted tools you work with day to day

WHAT WE BELIEVE

Accenture does not discriminate employment candidates on the basis of race, religion, colour, sex, age, disability, national origin, political beliefs, trade union membership, ethnicity, denomination, sexual orientation or any other basis impermissible under Polish law. All our leaders are committed to building a better, stronger and more durable company for future generations to create positive, long‑lasting change. Inclusion and diversity are fundamental to our culture and core values. Our rich diversity makes us more innovative and creative, which helps us better serve our clients and our communities. Our position as partner to many of the world’s leading businesses, organisations and governments affords us both an extraordinary opportunity and a tremendous responsibility to make a difference. Sustainability is one of our greatest responsibilities, which we embed it into everything we do and for everyone we work with.

More information about Accenture (and if necessary also its representative) can be found here: https://www.accenture.com/pl-pl/privacy-policy #LI-EU

ABOUT ACCENTURE

Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organisations build their digital core, optimise 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, colour, 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 in any way we can—when you thrive, we all thrive. Explore your next step at Accenture Belong. Grow. Thrive. Join a great place to work for reinventors who drive meaningful change for our clients, communities, and the world. Wo rld. Explore your next step at Accenture