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Job Description

Job Description

We are Accenture - a leading global professional services company, combining unmatched experience and specialized capabilities across more than 40 industries — powered by the world’s largest network of Advanced Technology and Intelligent Operations centers. With 506,000 people serving clients in more than 120 countries, Accenture brings continuous innovation to help clients improve their performance and create lasting value across their enterprises.

Position Overview

We are looking for a talented and driven Data Scientist to join our team. This role involves designing and implementing data-driven solutions, conducting advanced analytics, and leveraging machine learning and AI to solve complex business challenges. The ideal candidate is highly skilled in working with large datasets, data engineering, statistical analysis, and building predictive models.

Key Responsibilities

Data Engineering & Preparation

  • Clean, transform, and integrate structured, semi-structured, and unstructured data from multiple sources.
  • Design and maintain efficient data pipelines and workflows for analytics projects, data ingestion, processing, and storage.
  • Work with big data tools, and frameworks (e.g., Spark, Kafka) to process and analyze large-scale datasets efficiently.
  • Design and implement scalable solutions within data lakes and data warehouses such as Snowflake.

Advanced Analytics & Modeling

  • Conduct in-depth data analysis and statistical modeling to extract actionable insights.
  • Build predictive models and perform trend analysis using Python and other analytics tools.
  • Leverage vector databases for innovative analysis in recommendation systems and search.

Machine Learning & AI

  • Build, train, and deploy machine learning models to optimize processes and create value.
  • Apply generative AI techniques for advanced data interpretations and business applications.
  • Optimize cloud-based solutions for performance, cost, and scalability.

Data Analysis & Insights

  • Analyze large and complex datasets to identify trends, patterns, and actionable insights.
  • Develop and deploy statistical models to solve business problems and predict outcomes.

Visualization & Reporting

  • Create intuitive dashboards and visualizations to effectively communicate insights.
  • Collaborate with stakeholders to translate data findings into strategic recommendations.

Cloud Technologies

  • Utilize cloud platforms like AWS, GCP, and Microsoft Azure for data processing and analytics.
  • Optimize cloud-based solutions for performance, cost, and scalability.

Collaboration & Innovation

  • Work closely with cross-functional teams, including engineers, analysts, and business leaders to understand needs and align data solutions.
  • Stay updated on emerging data science trends, tools, and technologies to drive innovation.

Preferred Qualifications

  • Advanced degree in Data Science, Computer Science, Mathematics, or a related field.
  • Experience with generative AI and fine-tuning large language models (LLMs).
  • Certification in cloud platforms (e.g., AWS Certified Data Analytics, GCP Professional Data Engineer).
  • Strong communication and visualization skills using tools like Tableau or Power BI.

What We Offer

  • The opportunity to work on cutting-edge AI and data science projects.
  • A collaborative and innovative work environment.
  • Professional growth and development opportunities.
  • Besides our high-profile, challenging projects and our nurturing work environment, Accenture offer excellent employee benefits.

If you are passionate about turning data into actionable insights and thrive on solving complex problems, we encourage you to apply for this exciting opportunity!

#LI-EU

Qualifications

Here’s what you will need:

Preferred Qualifications

  • Advanced degree in Data Science, Computer Science, Mathematics, or a related field.
  • Experience with generative AI and fine-tuning large language models (LLMs).
  • Certification in cloud platforms (e.g., AWS Certified Data Analytics, GCP Professional Data Engineer).
  • Strong communication and visualization skills using tools like Tableau or Power BI.

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