DATA SCIENCE CONSULTING: UNLOCK THE VALUE IN YOUR DATA

Accelerating business growth is often met with huge data challenges.

More often than not, data within organisations is spread out in multiple silos of different systems, with different teams and priorities.

WHY BUSINESSES NEED DATA SCIENCE

Data is the key to growth in today's digital first economy. But processing and analysing masses of data and decades of unstructured datasets, finding patterns in data and extracting meaning that enables AI to get to work is very complex and time consuming.

At Deeper Insights, our Data Science Consultants become an extension of your team and will conduct advanced Data Analytics and Machine Learning methodologies to solve your critical business data challenges.

We look deeper into your data and find insights, build accurate predictive models and capture patterns and anomalies in data using sophisticated AI tools that would normally take humans years to process.

Meet the team

HOW OUR DATA SCIENCE TEAMS WORK

Data processing, analysis and extraction

Our Data Science Consultants analyse mass datasets using statistical analysis and data visualisation techniques to assess the quality of the data, and to interpret and extract meaning out of data relevant to your business outcomes.

Machine Learning Model Engineering and development

We leverage pre-trained Machine Learning models or create bespoke machine learning algorithms tailored to your problem. We focus on delivering high quality forecasting, predictions and automation and do it in an agile way so that you can see the project's progression at anytime.

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Training models

We work with you to fine-tune the behaviour of trained models and help them stay on track and deliver the results you need. We can also give you insights on variations of data and why the behaviour of certain models changed.

Implement and apply AI

We help you prepare to implement AI and Machine Learning in your organisation from selecting scalable technology to building best practices. Once the models are deployed, we continue to track and monitor performance to ensure they bring value into the business.

BEST PRACTICE DATA SCIENCE TOOLS

We use CRISP-DM and TDSP Data Science Methodologies for project management. These methods provide a systematic approach, built on the industry's best practices to structure and control data projects.

Learn more about our ways of working

DATA SCIENCE INSIGHTS ON OUR BLOG

WHY SCALE-UPS SHOULD OUTSOURCE DATA SCIENCE

Demand and supply gap for Data Scientists in US and UK in 2019. Here are the benefits of outsourcing AI and Data Science projects for scale-up businesses.

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HOW TO MANAGE AI PROJECTS: FROM PROOF OF VALUE TO PRODUCTION

Here is a guide on how to manage your AI projects. Make sure your AI project moves from a Proof of Value to Production.

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HOW TO RUN A DATA SCIENCE TEAM: TDSP AND CRISP METHODOLOGIES

CRISP-DM and TDSP are methodologies used to run Data Science teams. These methodologies are built on industry's best practices to deliver quality results.

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