Applied Scientist (Machine Learning)

buscojobs España; Madrid; Presencial; EUR 45.000 - 80.000; Jornada completa

Descripción de la vacante

Teya is seeking a Machine Learning Engineer to join their team in Madrid. This role involves building predictive models, improving business decisions through advanced machine learning techniques, and collaborating with various data experts to enhance service delivery. Enjoy a supportive environment with flexible working hours and a commitment to excellence in service to small businesses.

Servicios

Health Insurance

25 days Annual leave (+ Bank holidays)

Flexible working hours

Formación

• 5+ years of professional experience.
• Ability to communicate model objectives to business stakeholders.
• Experience with ETL processes and close collaboration with engineers.

Responsabilidades

• Build and evolve machine learning models to drive business decisions.
• Implement best practices for model deployment and monitoring.
• Work on customer lifetime value and churn propensity projects.

Conocimientos

Machine Learning

Analytical skills

Problem Solving

Creativity

Statistical Inference

Educación

Background in quantitative field

Computer Science

Mathematics

Economic

Herramientas

Java

Python

SQL

Jupyter Notebook

Snowflake

Amazon SageMaker

Docker

Kubernetes

Descripción del empleo

Teya is a payment and software service provider, headquartered in London serving small, local businesses across Europe. Founded in 2019, we build easy to use, integrated tools that enable our members to accept payments and boost business performance.

At Teya we believe small, local businesses are the lifeblood of our communities.

We’re here because we don’t believe there’s a level playing field that gives small businesses with a fighting chance against the giants of the high street.

We’re here because we see banks and legacy service providers making things harder for them. We don’t think the best technology or the best service should be reserved for those with the biggest headquarters.

We’re here to fight for a future where small, local businesses can thrive, and to commit the same dedication they offer all of us.

Become a part of our story.

We’re looking for exceptional talent to join our mission. We offer a chance to create impact in a high-energy and connected culture, while benefiting from continuous learning opportunities, a supportive community which is proud to serve our mission, and comprehensive benefits.

Your Mission

You will be part of a joint team of machine learning engineers, data scientists, data analysts, and product managers building and evolving ML models, real-time systems, reports, and performing deep analysis of pricing, retention, and offer strategies.

Working with advanced predictive models, MLOps best practices, and scalable software systems, you will implement and evolve intelligent solutions to align Teya with the success of our customers.

In this role, you’ll be :

Helping Teya to use data to drive business decisions by implementing and continuously improving through experimentation advanced machine learning models.

Working on projects including but not limited to customer lifetime value, churn propensity, forecasting, risk, cost-to-serve and cost-to-acquire modelling

Building predictive models to a production level adopting best practices for coding, deployment, monitoring, and experimentation.

Your Story

Background in a quantitative field (Computer Science, Mathematics, Machine Learning, AI, Statistics, Economics or equivalent)

5+ years of professional working experience

Someone who thrives in the incremental delivery of high quality production systems

Proficiency in Java, Python, SQL, Jupyter Notebook

Experience with Machine Learning and statistical inference.

Understanding of ETL processes and data pipelines and ability to work closely with Machine Learning Engineers for product implementation

Ability to communicate model objectives and performance to business stakeholders

Strong analytical and problem-solving skills

Ability to think creatively and insightfully about business problems

Nice to have :

Proficiency with Snowflake

Proficiency with Amazon SageMaker

Proficiency with Docker and Kubernetes

The Perks

Health Insurance;

25 days of Annual leave (+ Bank holidays);

Flexible working hours, as long it suits both you and your team.

Teya is proud to be an equal opportunity employer.

We are committed to creating an inclusive environment where everyone regardless of race, ethnicity, gender identity or expression, sexual orientation, age, disability, religion, or background can thrive and do their best work. We believe that a diverse team leads to better ideas, stronger outcomes, and a more supportive workplace for all.

If you require any reasonable adjustments at any stage of the recruitment process whether for interviews, assessments, or other parts of the application—we encourage you to let us know. We are committed to ensuring that every candidate has a fair and accessible experience with us.

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