Senior Data Scientist AI

Supermetrics; City Of London; Remote; GBP 70,000 - 90,000; Full time

Job summary

A leading Marketing Intelligence Platform is seeking a Senior Data Scientist to join their team. This role involves developing data-driven solutions and AI models to address crucial business problems. Ideal candidates will have 5 years of experience in Data Science and proficiency in Python and SQL. The position offers a competitive compensation package and supports remote work.

Benefits

Competitive compensation package

Great work equipment and home office allowance

Health care benefit

Sports and wellbeing allowance

Qualifications

• 5 years of experience in Data Science or ML and AI.
• Practical experience working with LLMs.
• Experience with MarTech advanced analytics techniques appreciated.

Responsibilities

• Identify opportunities to use advanced data science techniques.
• Develop and deploy AI / ML models.
• Partner with engineering teams to transform prototypes into production-ready products.
• Communicate impact of data science initiatives.

Skills

Statistical analysis

ML modelling

Statistical optimisation

Python

SQL

Project management

Communication skills

Education

Advanced degree in STEM (Mathematics, Statistics, Computer Science, Engineering)

Tools

Pandas

NumPy

Scikit-learn

TensorFlow

PyTorch

AWS

GCP

Job description

Are you an experienced curious Data Scientist motivated by the idea of finding new and better ways to generate insights from data and looking to be part of transformative technical initiatives that will shape the future of data at a fast-growing SaaS company

We're looking for a Senior Data Scientist to join our Product Engineering team in our HQ in Helsinki Finland, Dublin Ireland or the UK.

Supermetrics is the world’s leading Marketing Intelligence Platform serving over 15000 marketers globally. We process more than 15% of the world’s performance marketing data and we are looking for a senior data scientist to help our customers utilize this data for transformational business growth.

In this role you will

As a Senior Data Scientist at Supermetrics your role will involve diving into our data to solve crucial business problems for our customers. The focus of this role is the development and implementation of robust and insightful data-driven solutions to be embedded within our current product.

You need to be someone who thrives in evolving environments has a keen interest in innovation and is prepared to pioneer new solutions and be creative while maintaining a product-first mindset.

This is a unique opportunity to build innovative products and solutions for our customers that are differentiated in the market due to our unique data set and as we all know data is the fuel for AI.

Your day-to-day work and responsibilities include

• Identify opportunities to use advanced data science techniques leveraging a wide variety of MarTech data to solve problems and provide new insights to our customers.
• Develop and deploy AI / ML models creating new products and value for our customers.
• Transform data science prototypes into scalable production-ready data-driven products in partnership with our infrastructure / engineering teams.
• Participate in the design and development of agentic workflows that utilise advanced analytics techniques and domain knowledge to produce personalised insights.
• Embed AI‑powered features and automation tools in data science applications to improve velocity product quality and customer experience as needed.
• Stay current with AI / ML advancements and continually seek for new ideas or paradigms that will add value to our customers.
• Communicate the impact and outcomes of data science initiatives to stakeholders across the organization.

This position is for you if you have

• An advanced degree in a STEM‑related field such as Mathematics, Statistics, Computer Science, Engineering or a related field or equivalent work experience.
• 5 years of experience in Data Science or ML and AI with real‑world data within an industry or research setting.
• Skilled in statistical analysis, ML modelling experimentation and optimisation.
• Practical experience working with LLMs including fine‑tuning retrieval‑augmented generation (RAG) and deploying models to enhance product features.
• A proactive mindset a continual pursuit of new ideas and data sources and the ability to systematically address ambiguous problems with a data‑driven hypothesis‑based approach.
• Proficiency in Python and SQL with experience using libraries such as Pandas, NumPy, Scikit‑learn and deep learning frameworks like TensorFlow or PyTorch.
• Advanced experience building and deploying data science products using cloud platforms (e.g. AWS, GCP) and MLOps tools.
• Extensive experience in project management and collaborating with a varied remote group of colleagues.
• Proficient written and verbal communication skills to explain technical concepts to non‑technical stakeholders.
• Domain knowledge of large‑scale data‑driven SaaS applications.

We also appreciate

• Experience with MarTech advanced analytics techniques and use cases (i.e. propensity modelling, Media Mix Modelling, personalisation / customer segmentation).
• Experience in the end‑to‑end development of AI products.

Benefits we offer

• Competitive compensation package including equity.
• Great work equipment and home office allowance for those working in our fully remote locations.
• Health care benefit and leisure time insurance.
• Sports and wellbeing allowance.

Benefits may vary depending on location.

Hear why our team likes it here at to know our Engineering team at #LI‑FullTime #LI‑MiddleToSeniorLevel

Supermetrics is committed to providing a welcoming and inclusive workplace for all. We believe that a diverse workforce is a strong workforce and we are dedicated to creating an environment where everyone feels valued and respected.

If you require any reasonable accommodations during the application or interview process please do not hesitate to let us know. You can reach us at All requests for accommodation will be kept confidential.