Contact us Contact us
AMB360

Data Science

Smart Female IT Engineer / Programer Working on Desktop Comuter. Software Development / Coding/ Web Design / Database Architecture. Young Girl STEM Graduate Working

Turn data into a growth engine — with strategy, modelling, and machine learning that powers your next move

At AMB360, we help businesses unlock the full potential of their data. Whether you’re sitting on a goldmine of untapped customer insight or starting from scratch, our data science team builds the systems, models, and strategies that turn raw information into action.

From predictive analytics and customer segmentation to lifetime value modelling and AI-assisted decision-making, our solutions are designed to create commercial advantage — not just dashboards. We don’t just analyse your data. We make it work harder for you, driving better marketing, smarter operations, and faster growth.

Applied data strategy
We begin with clarity. That means understanding your business goals, existing data infrastructure, and the decisions you’re trying to improve. Whether you’re a SaaS brand trying to reduce churn, an eCommerce store aiming to personalise offers, or a B2B company looking to optimise your pipeline, we map out the data pathways that support your goals. Then we build the right strategy to turn information into impact.
Machine learning and AI deployment
Need to go further? We deploy AI and machine learning tools to make your business smarter, faster, and more efficient. That includes customer scoring algorithms, smart bidding models, predictive lifetime value analysis, and marketing automation tools powered by real-time data. Whether you need custom ML models or smart integrations with platforms like BigQuery, Snowflake, or Looker, we make it happen.
Advanced analytics and modelling
Once your data is structured and accessible, we go deeper. Our team builds tailored models to uncover trends, predict behaviour, and surface opportunities. From churn prediction and product recommendation engines to market segmentation and pricing analysis, our analytics work is built on statistical rigour and business context — not generic reports. You get insights you can act on, not just admire.
Integration, automation and enablement
Great insights only work when they’re accessible. That’s why we focus on automation, integration, and enablement. We build data pipelines that pull from your CRM, analytics tools, and eCommerce platforms — and push insights back into your marketing systems and dashboards. We also upskill your team, so you can operate with confidence and clarity, long after go-live.

What we deliver

We provide end-to-end data science capabilities designed to support commercial teams. That includes data auditing, infrastructure planning, and model development — all the way through to API integration and enablement. We help teams connect platforms like HubSpot, Shopify, Google Analytics, and Snowflake, creating unified data views that support smarter decisions. Whether you need dashboards that show revenue-driving metrics or ML models that guide your next campaign, we’ve got you covered.

Frequently asked questions

What kind of data science services do you offer?
We offer a full range of data science services — including exploratory data analysis, predictive modelling, clustering and segmentation, recommendation engines, and machine learning model development. Our goal is to turn your raw data into actionable insights that directly support your business goals, whether that’s optimising marketing, increasing sales, or improving operations.
Can you help us if we don’t have clean or centralised data yet?
Absolutely. Many of our clients come to us before their data is fully structured or centralised. We start with a data audit and infrastructure strategy — helping you connect your sources, clean your data, and build the pipelines you need. Once we’ve established a solid foundation, we can layer in advanced analytics, modelling, and automation to drive real value.
How do you integrate data science with marketing and sales?
We specialise in applying data science to commercial functions. That includes building lead scoring models for CRM, predicting churn in SaaS platforms, modelling customer lifetime value for eCommerce, and enhancing ABM targeting through predictive intent. We make sure our work flows directly into the systems your marketing and sales teams use — like HubSpot, Marketo, Klaviyo, or your CMS — so the impact is immediate and measurable.

Do you use off-the-shelf tools or build custom models?
We do both — depending on what will generate the most impact. We’re experienced with tools like Google Analytics, Looker, BigQuery, Snowflake, and Python/R for advanced modelling. Where off-the-shelf tools suffice, we configure and optimise them to suit your needs. Where a custom model will give you an edge, we build it from the ground up — always aligned with your business logic and data maturity.
How long does a typical data science project take?
It depends on complexity, but most projects run from 4 to 12 weeks. A lightweight analytics audit and dashboard setup might take just a few weeks, while a predictive modelling project with integrations and training might run closer to three months. We always start with a discovery phase to scope the project and ensure we’re delivering the right level of complexity for your needs — and your team’s readiness.

Search

Other services

01908 040451
Let’s turn your data into a competitive advantage — with smart strategy, serious modelling, and insight you can act on.

Let’s talk business. But you first.

Want to talk to us to find out how we can deliver growth for your business? Simply fill out the form and one of the team will be in contact with you as soon as possible.

Services

    Buy on Envato

    Let us help you get your project started.

    Contact us

    hello@amb360.co.uk

    +44(0)1908 040451

    Start your project

      Select service
      • Select service
      • Graphic Design
      • Website Design
      • Paid Media