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Dava.X Academy Trainee

icon building Company : Endava
icon briefcase Job Type : Internship

Number of Applicants

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Job Description - Dava.X Academy Trainee

Company Description

Technology is our how. And people are our why. For over two decades, we have been harnessing technology to drive meaningful change.

 

By combining world-class engineering, industry expertise and a people-centric mindset, we consult and partner with leading brands from various industries to create dynamic platforms and intelligent digital experiences that drive innovation and transform businesses.

 

From prototype to real-world impact - be part of a global shift by doing work that matters.

Job Description

As an Data & AI Trainee, you will be part of a dynamic, cross-functional team developing AI-driven applications, data solutions and cloud-based systems for clients across multiple industries. This role provides a unique opportunity to explore different aspects of engineering, data science, and data analytics while working on real-world AI and data projects.

You will gain hands-on experience with data pipelines, machine learning models, big data technologies data visualization and business intelligence tools, with the flexibility to specialize based on your skills and interests.

Key Responsibilities

  • Work with different types of data using cloud platforms and databases
  • Learn and support software development using modern programming languages
  • Help build and improve data pipelines that move and transform data
  • Assist in creating AI and machine learning models to generate useful insights
  • Collaborate with data engineers, data scientists, and business teams
  • Learn about the latest trends in AI, machine learning, and big data

Qualifications

We’re looking for dynamic, open-minded problem-solvers eager to build a career in IT Services and Consulting. This training program is ideal for students currently in their 2nd or 3rd year of Bachelor’s studies

Whether your passion lies in data analysis, software development, AI, DevOps or cloud computing, we value individuals who are adaptable, curious, and driven to learn.

Strong analytical and problem-solving skills, combined with a foundational understanding of data processing, software engineering or cloud technologies, will be beneficial. An interest in machine learning, AI applications, and modern data ecosystems is essential. 

Familiarity with programming languages such as Python, Java, .NET, JavaScript, SQL, or R, as well as exposure to big data technologies, data visualization tools, and automation pipelines, will be an advantage.

Knowledge of data governance, security, and compliance standards is beneficial, particularly for those interested in working with enterprise-scale data solutions.

Equally important are effective communication skills, the ability to translate technical insights into business impact, and a mindset geared toward continuous learning, innovation, and embracing new challenges in technology.

Additional Information

  • A structured graduate training program with mentorship and career development support.
  • Exposure to real-world data and AI projects with global enterprises.
  • Learning opportunities in data engineering, data science, and analytics, with options to specialize.
  • A collaborative, inclusive work environment with a focus on innovation and career growth.
  • Paid 3-month training programme, offering online & hands-on learning and real customers challenges

At Endava, we’re committed to creating an open, inclusive, and respectful environment where everyone feels safe, valued, and empowered to be their best. We welcome applications from people of all backgrounds, experiences, and perspectives—because we know that inclusive teams help us deliver smarter, more innovative solutions for our customers. Hiring decisions are based on merit, skills, qualifications, and potential. If you need adjustments or support during the recruitment process, please let us know.

Original job Dava.X Academy Trainee posted on GrabJobs ©. To flag any issues with this job please use the Report Job button on GrabJobs.
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