Senior Data Scientist (R, MLOps)

Ascent; United Kingdom; Hybrid; GBP 50,000 - 80,000; Full time

Job summary

Ascent is seeking a Senior Data Scientist with expertise in R and MLOps to join their innovative team in the UK. This role involves bridging statistical and technical teams, implementing MLOps frameworks, and optimizing R code for production. The ideal candidate will possess strong communication skills and experience in cloud platforms, contributing to a vibrant and collaborative workplace.

Benefits

Flexible work environment

Access to Well Being Coaches

Professional development support

Qualifications

• Thorough knowledge of the R language.
• Experience in cloud platforms such as Databricks.
• Superb written and verbal communication skills.

Responsibilities

• Act as a bridge between statisticians and technical teams.
• Design and implement MLOps frameworks for statistical models.
• Refactor and optimize R code for production use.

Skills

R language

MLOps frameworks

GitHub

Communication skills

Cloud platforms

Python

Pharma experience

Job description

Join to apply for the Senior Data Scientist (R, MLOps) role at Ascent

1 day ago Be among the first 25 applicants

Join to apply for the Senior Data Scientist (R, MLOps) role at Ascent

Data Science function hiring in: United Kingdom

Engagement Option(s): Full Time

Work Preference Option(s): Hybrid model

Ref №: 25057

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 anddemonstrated ability to effectivelycommunicate 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 Ascent

At 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 [e-mail].

For more details about life at Ascent, check out our Life Page.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  IT Services and IT Consulting

Referrals increase your chances of interviewing at Ascent by 2x

Sign in to set job alerts for “Senior Data Scientist” roles.

Senior Data Analyst - RELOCATION TO ABU DHABI

London, England, United Kingdom 1 month ago

Senior Data Analyst, Strategic Marketing

Engagement Manager/Director (Customer Success) – Cloud Data & Life Science - EMEA Remote

London, England, United Kingdom 3 months ago

Senior Pricing Analyst - AI & Data Solutions

London, England, United Kingdom 5 hours ago

High Wycombe, England, United Kingdom 1 week ago

London, England, United Kingdom 5 days ago

London, England, United Kingdom 1 month ago

Bristol, England, United Kingdom 1 month ago

Manchester, England, United Kingdom 4 days ago

London, England, United Kingdom 1 week ago

London, England, United Kingdom 2 weeks ago

AI Research Scientist (Sequential Decision Making)

London, England, United Kingdom 3 days ago

Principal Data Scientist (Manager) - Remote

London, England, United Kingdom 2 months ago

Senior Data Scientist (Generative AI) - RELOCATION TO ABU DHABI

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.