We help customers identify data science opportunities within their organisation, develop Machine Learning and Deep Learning solutions to validate our customers business case and support them to bring these solutions to life. We are inquisitive by nature, and we love exploring solutions using state of the art technology and algorithms.

Ultimately our goal is to deliver great Data Science solutions that meet the customer needs by keeping true to our scientific and analytical methodology.

What We Deliver

Typically, we deliver 4 key project types:

For each use case, Goaltech proposes a four-stage approach

How We Deliver

We follow an iterative approach in developing solutions – according to the CRISP-DM framework

Our discoveries and productionisation work are underpinned by data driven decisions. Thinking analytically and following Data Science best practices is in our DNA. When it comes to answering our customers’ questions, we never take things for granted. We are the first ones to admit “we don’t know what we don’t know” and allow the data to guide us towards the right answers.

Our ACTIVE principles underpin our work:

Skills

This team is responsible for the Machine Learning model development to align with business requirements
and is underpinned by three expertise pillars:

Our data scientist team’s general capabilities:

• We all write code – good Python dev skills
• We all have advanced DS / AI skills
• We are all AWS and Azure certified

There are areas of expertise across the team:

• Computer Vision
• Natural Language Processing ( NLP )
• Time series and forecasting
• Anomaly detection