Data Scientist 1

About The Job You Are Considering

Capgemini Global Insights & Data business line is a market leader in the data, platform, and analytics across all regions and across many sectors (including financial services, consumer products, manufacturing & life sciences). Our offerings include end-2-end data integration to cloud platform, complete suite of AI engineering capabilities and a category of sector-based advanced analytics / AI solutions.

The places that you work from day to day will vary according to your role, your needs, and those of the business; it will be a blend of Company offices, client sites, and your home; noting that you will be unable to work at home 100% of the time.

Your Role

We are seeking an experienced and highly skilled Data Scientist to join our dynamic team. The ideal candidate will have a deep understanding of data science techniques, machine learning, and big data technologies.

• Develop and implement machine learning models to solve complex business problems.
• Analyze large datasets using statistical and machine learning techniques.
• Work with structured and unstructured data, and design advanced algorithms for data mining, predictive modeling, NLP, and time series analysis.
• Collaborate with cross-functional teams to integrate data science solutions into cloud-based environments (AWS, Azure, GCP, Databricks, Snowflake).
• Build data pipelines and manage big data frameworks for efficient data processing.
• Use data visualization tools like Tableau, Microsoft Power BI, Matplotlib, and Seaborn to present complex results in a clear and concise manner.
  
  

Your Skills And Experience

• Programming Languages: Expertise in Python, R. Data Science Platforms:
• Experience with Databricks, Dataiku, AzureML, SageMaker.
• Data Analysis Tools: Proficiency in Pandas, NumPy.
• Cloud Platforms: Strong understanding of Snowflake, Azure, AWS, GCP, Databricks.
• Strong SQL skills for data manipulation and querying.
• Machine Learning & AI: Experience in building and deploying machine learning models, including Natural Language Processing (NLP).
• Big Data Technologies: Familiarity with big data technologies and processing.
• Time Series Analysis: Strong knowledge of time series forecasting and analysis.
• Data Visualization Tools: Hands-on experience with Matplotlib, Seaborn, Tableau, Microsoft Power BI.
• Bachelors degree in data science, Analytics, Business, or related field. Advanced degrees or certifications are a plus. 
  
  

Why you should consider Capgemini

Growing clients’ businesses while building a more sustainable, more inclusive future is a tough ask. When you join Capgemini, you’ll join a thriving company and become part of a diverse collective of free-thinkers, entrepreneurs and industry experts. We find new ways technology can help us reimagine what’s possible. It’s why, together, we seek out opportunities that will transform the world’s leading businesses, and it’s how you’ll gain the experiences and connections you need to shape your future. By learning from each other every day, sharing knowledge, and always pushing yourself to do better, you’ll build the skills you want. You’ll use your skills to help our clients leverage technology to innovate and grow their business. So, it might not always be easy, but making the world a better place rarely is.

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