Data and AI Consultant

Why SoftwareOne?

SoftwareOne is a global software and cloud solutions provider and distributor, powered by around 12,000 people across more than 70 countries. But what really makes us SoftwareOne is our people: curious minds, different perspectives, and talented teams working together to solve real challenges and create meaningful impact. Here, you’ll have the opportunity to grow, explore new possibilities, and build a career that’s uniquely yours, while helping shape what’s next in technology.

The role

Are you passionate about harnessing the power of data and AI to solve real business challenges? Do you thrive on collaborating with clients to deliver innovative automation and analytics solutions? Are you ready to make an impact in a dynamic, client-focused environment?

As a Data and AI consultant, you will work closely with clients to understand their needs, translate business requirements into technical solutions and ensure the successful delivery of intelligenct automation and data driven projects.

Key Responsibilities

• Plan, deliver, and implement intelligent automation solutions, including intelligent character recognition, chatbots/virtual assistants, and AI applications.
• Translate business requirements into robust technical solutions, ensuring alignment with client objectives.
• Collaborate with cross-functional teams to design and deploy data architectures (Data Lake, Data Mesh, Data Warehouse, Data Lakehouse).
• Develop and maintain data models, ETL processes, and data integration pipelines.
• Apply machine learning workflows to analyze, transform, and interpret data for actionable insights.
• Present complex technical concepts to non-technical stakeholders in a clear and engaging manner.

What we need to see from you

Proven experience (3–5 years) in data analysis, AI implementation, or a related field.

Strong understanding of data architecture patterns and data integration techniques.

Proficiency in programming languages such as Python, R, or Scala.

Hands-on experience with cloud data engineering tools (e.g., Azure Data Factory, Azure Fabric, AWS Glue).

Familiarity with data visualization tools (e.g., Tableau, Power BI) and cloud platforms (AWS, Azure).

Excellent problem-solving skills and attention to detail.

Strong communication and interpersonal skills; ability to work effectively in a team.

Education : Bachelor’s degree in Computer Science, Data Science, or a related field.  

Job Function

Sales