Data Scientist

We are looking for a Data Scientist to design and develop data-driven solutions that address complex business challenges and support informed decision-making. The role combines statistical analysis, machine learning, programming and business understanding to transform data into meaningful insights and scalable analytical solutions.

Key Responsibilities

• Analyze complex datasets to identify patterns, trends and actionable insights
• Design, develop and evaluate statistical and machine learning models.
• Perform data exploration, cleaning, wrangling, normalization and feature engineering
• Develop predictive and analytical solutions that address business requirements
• Work with Python and SQL/PostgreSQL to manipulate, analyze and model data
• Create reports, visualizations and dashboards to communicate analytical findings effectively
• Collaborate with business stakeholders, data engineers and other technical teams to translate business challenges into data science solutions
• Present findings and recommendations clearly to both technical and non-technical stakeholders
• Contribute to the automation and improvement of analytics processes and solutions
• Ensure appropriate quality, reliability and documentation of analytical work

Required Skills & Experience

• Minimum 2 years of hands-on experience in data science, advanced analytics, or statistical modeling
• Strong programming skills in Python
• Strong knowledge of SQL/PostgreSQL and experience working with structured datasets
• Good understanding of statistics, probability and machine learning techniques
• Experience with data analysis, data wrangling, data modeling and data visualization
• Experience developing and evaluating predictive or machine learning models
• Familiarity with common Python data science and machine learning libraries
• Experience with visualization tools such as Power BI, Tableau or Qlik is valuable and is also reflected in the internal profile
• Strong analytical and problem-solving abilities
• Ability to communicate complex technical concepts clearly and translate analytical findings into business recommendations
• Good English communication skills

Nice to Have

• Experience working with cloud-based data platforms.
• Experience with large-scale datasets and data processing technologies.
• Knowledge of Generative AI, LLMs or NLP, depending on the project scope.
• Experience taking analytical or machine learning solutions beyond experimentation into production environments.
• Familiarity with Git and collaborative development practices.

Join us for a fulfilling career and a balanced lifestyle that celebrates diversity and promotes inclusivity.

The position is available exclusively for collaboration under an individual working contract (CIM).

#LI-EU

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 atwww.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.