Senior Data Scientist (R, MLOps)

Welcome to an exciting opportunity where ambitious individuals are invited to join a team of inquisitive minds and supportive peers, all driven by a shared passion and diverse skills aimed at creating value for businesses through data.

About Us

We are Ascent! and we help our customers solve problems, elevate, and do existing things better. We are on a mission to help our customers connect data, software, and purpose to create extraordinary outcomes. You could say we are a digital transformation business.

We specialize in software product development, analytics, data science, IoT solutions, machine learning, DevOps optimization, and modernization of applications, data, and platforms.

We work with incredible clients across various industries such as smart home devices, space exploration, beer manufacturing, finance, ecology, and logistics. We collaborate with some of the brightest minds in the most innovative businesses, and we employ talented individuals too!

At Ascent, we believe in fostering a vibrant office community where collaboration thrives and connections flourish. Our hybrid work model prioritizes hiring individuals near our central offices in Bristol and London to promote a positive and connected workplace. We also welcome applicants from all over the UK, valuing diversity and the unique perspectives each person brings.

Skills and Experience

Thorough knowledge of the R language

Understanding of MLOps and DevOps frameworks

Experience with GitHub, including version control, collaboration, testing, and CI/CD

Excellent written and verbal communication skills, with the ability to explain complex technical and statistical ideas to non-specialists

Experience with cloud platforms such as Databricks

What you will do

Serve as a bridge between statisticians and technical teams

Design and implement MLOps frameworks to support deployment of statistical models as REST APIs

Refactor and optimize R code for production, focusing on performance, reproducibility, and API integration

Educate statisticians and engineers on MLOps principles to foster shared understanding

Working at Ascent
We promote a healthy work-life balance with flexible working arrangements. We support well-being with access to Well-Being Coaches.

Your professional development is important to us; we offer training, certifications, and regular feedback. Our workplace is modern, supportive, and aligned with our core values of Empathy, Energy, and Audacity. We also provide various benefits across our locations.

Ascent is an equal opportunity employer. We are committed to inclusion and belonging, ensuring fair treatment regardless of gender, pregnancy, maternity, marital status, sexual orientation, race, ethnicity, age, religion, disability, or belief. Please inform us of any reasonable accommodations needed during the application process.

If you have questions, contact our Talent Acquisition team at

.

Learn more about life at Ascent on our

Life Page .

Additional Information

Are you legally entitled to work in the UK without sponsorship or a visa? *

Indicate your earliest availability to join following a prospective offer (Notice Period in days). *

State your annual gross salary expectations in GBP. *

Would you like to share any further details at this stage?

Do you consent to us retaining your data for 12 months for future opportunities? *

#J-18808-Ljbffr