Senior Data Scientist (R, MLOps)

Job title:

Senior Data Scientist (R, MLOps)

Company

Ascent Software

Job description

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 in all types of industries such as smart home devices, space exploration, beer manufacturing, finance, ecology, and logistics. We work with some of the sharpest minds in the brightest businesses and we employ the sharpest minds too!At Ascent, we also believe in fostering a vibrant office community where collaboration thrives and connections flourish. With our hybrid approach, we prioritize hiring individuals who reside in close proximity to our central offices in Bristol and London. Our aim is to cultivate a positive atmosphere and sense of belonging by facilitating easy access to the office. However, we welcome applicants from all other areas in the UK, as we value diversity and recognize the unique perspectives each individual brings to our team. Join us in shaping a workplace where proximity enhances collaboration while inclusivity strengthens our community.Skills and Experience

• Thorough knowledge of the R language
• Working understanding of MLOps and DevOps frameworks
• Daily use of GitHub, including version control, collaboration, testing and CI/CD
• Superb written and verbal communication skills and demonstrated ability to effectively communicate complex technical and statistical ideas to non-specialists
• Experience in cloud platforms such as databricks
• Python experience desirable
• Pharma experience desirable

What you will do

• Act as a bridge between statisticians and technical teams.
• Design and implement MLOps frameworks to support the deployment of statistical models as REST APIs.
• Refactor and optimise R code for production use, with a focus on performance, reproducibility, and API integration.
• Educate both statisticians and engineering teams on MLOps principles to ensure shared understanding.

Working at AscentAt Ascent we promote a healthy work-life balance by offering flexibility in where you work. We also promote well-being and provide access to Well Being Coaches.Your development and learning will be taken seriously, and we’ll support your professional development with training and certification, with regular feedback and review. It is a fun, supportive and modern workplace where we really live by our company values of Empathy, Energy and Audacity! Ascent also offers a variety of benefits in each of our countries.Ascent is an equal opportunities employer. We take intentional steps to ensure inclusion and belonging are something real here, not just something we talk about. No person will be treated less favourably because of their gender, pregnancy, and maternity status, marital or civil partnership status, sexual orientation, race, nationality, ethnic origin, age, religion or belief, or disability status. If you require any reasonable accommodation, please let us know when you apply.If you have any questions contact our Talent Acquisition team on ta.admin@ascent.io.For more details about life at Ascent, check out our Life Page .Apply

Expected salary

Location

United Kingdom

Job date

Sat, 24 May 2025 02:04:33 GMT

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