Tasks

• Explore data through the application of scientific methods in order to extract actionable insights
• Generate reports and presentations to communicate findings to clients and stakeholders
• You will work closely with client stakeholders as well as with our data engineers using agile development methodology
• Design, develop, test and operate end-to-end ML pipelines to tackle tasks such as prediction, classification and recommendation

• Explore data and report on insights
• Servicing and maintaining ML models through appropriate frameworks on the cloud

Benefits

• Extensive training opportunities including our structured Data Incubator training programme for graduates and detailed learning paths to guide you along the way
• Structured career progression, at Reply we encourage career growth and we will give you the tools and guidance to achieve subject matter expertise and management capabilities
• Diverse and vibrant work environment - you will be surrounded by like-minded peers who share your passion about data and technology
• Opportunities to get involved in Hackathons, Code Challenges or Labcamps. Your education doesn't need to stop here! Reply prides itself on continuously exploring emerging technologies
• Opportunity to work on projects with some of the world's leading brands

Qualifications

• A Master's degree (Merit or higher) is required in Mathematics or IT/Computer Science, but the former is preferred
• Excellent communications skills
• An excellent understanding of key concepts in data science and machine learning is needed as a foundation on which to build
• No previous consulting experience is necessary, but rather a strong business or technology background along with the capacity to succeed in a fast paced and challenging environment
• Flexibility regarding local and international travel
• Flexible attitude towards working across different client projects

About Data Reply
Data Reply is helping organisations across Europe to exploit their data. A key enabler for this is designing platform capabilities and pipelines that surface the right data in the right place, at the right time.