Data Scientist

A bit about us

At Gamma, we’re more than just a leader in Unified Communications as a Service (UCaaS). We’re a fast-moving technology organisation delivering innovative voice, data, and mobile solutions across Europe.

Our product and service portfolio is at the heart of what we do — powering reliable, scalable communications for thousands of businesses. Behind the scenes, our engineering teams design, build, and maintain the software systems that generate real business impact.

We combine the agility of a start-up mindset with the stability of a leading European business. Collaboration, ownership, and continuous improvement define how we work — and we’re always looking for people who want to build meaningful technology at scale.

Who are we looking for?

Design, build, and own end‑to‑end, Snowflake‑based machine learning and advanced analytics solutions that transform telecommunications data into trusted models, insights, and predictions driving customer retention, growth, and commercial decision‑making across the business.

What will you be doing day-to-day?

• Own the end‑to‑end machine learning lifecycle, from problem definition and exploratory analysis through model development, deployment, monitoring, and iteration, delivering production‑grade ML solutions with measurable business impact.
• Define, design, and continually improve business‑critical “gold” analytics data models on Snowflake, ensuring they represent consistent, trusted views of customers, products, revenue, and usage, and serve as the single analytical truth across reporting, analytics, and ML use cases.
• Develop, evaluate, and deploy machine learning models relevant to a telecommunications environment, including customer churn prediction, early‑warning indicators, lifetime value forecasting, segmentation, and recommendation or next‑best‑action systems.
• Ensure analytical datasets, gold data models, and ML outputs are secure, reliable, and performant, applying Snowflake best practices such as RBAC, query optimisation, cost‑efficient compute usage, and appropriate materialisation strategies.
• Work closely with product, engineering, marketing, finance, and commercial stakeholders to align on definitions, metrics, and analytical priorities, translating ambiguous business problems into well‑scoped analytics and ML solutions.
• Mentor and uplift the existing data squad responsible for ingestion and transformation, setting standards for analytical data modelling, data quality, and ML‑aware design, and acting as a senior technical authority across the data organisation.

What you’ll need

• Strong experience in data science and applied machine learning, with proven delivery of models into production environments.
• Strong background in machine learning, statistics, and data modelling, with hands‑on experience using Python and advanced SQL.
• Demonstrated experience working with modern cloud data warehouses, with Snowflake as a primary platform strongly preferred.
• Experience in telecommunications or subscription‑based businesses, particularly working with customer usage, billing, or CRM data, is highly desirable.
• Track record of mentoring engineers or analysts and leading technical standards within a data team.
• Kaggle profile or public GitHub projects demonstrating applied ML or analytics work are a strong plus.

What do we offer you?

At Gamma, we believe in work–life balance, which is why we offer 25 days of annual leave, plus an extra day off for your birthday. We also provide a volunteer day, allowing you to support a cause that matters to you.

Family is important to us. With enhanced maternity and paternity pay, we support you at every stage of life. Our contributory pension scheme helps you plan for the future, with Gamma increasing contributions in line with yours.

Your wellbeing comes first. We offer group income protection, life assurance (four times your salary), and private medical insurance through Vitality, which extends to your immediate family.

We want you to share in our success, which is why we offer tax‑efficient share save and share incentive plans.

We’re also committed to sustainability, offering an Electric Vehicle scheme through Octopus and a Cycle to Work scheme, making greener travel easier.

A few things to note

Unfortunately, we can’t offer visa sponsorship or relocation support for this role.
This role is hybrid, with office and home working flexibility.If you feel you could be a great fit for Gamma but don’t meet every requirement, we still encourage you to apply — you might be exactly who we’re looking for.
Gamma is an equal opportunity employer. We are committed to building inclusive, diverse teams where everyone can be their authentic selves. We welcome applications from all backgrounds and do not discriminate based on any protected characteristics.