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- Tasks: Join us as a Senior Data Scientist, bridging stats and tech while optimising R code for production.
- Company: Ascent is a digital transformation business helping clients innovate through data and technology.
- Benefits: Enjoy hybrid work, well-being support, professional development, and a vibrant office culture.
- Why this job: Be part of exciting projects with top brands and a supportive team that values your voice.
- Qualifications: Proficient in R, MLOps, GitHub, and cloud platforms; strong communication skills required.
- Other info: We embrace diversity and inclusion, ensuring everyone feels valued and supported.
The predicted salary is between 43200 - 72000 £ per year.
Data Science function hiring in the United Kingdom. Work Preference Option(s): Hybrid model.
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. 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.
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
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 will 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 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.
For more details about life at Ascent, check out our Life Page.
Why join Ascent?
Joining Ascent means you’ll be involved in delivering exciting technology projects for leading global brands. You’ll be part of a growing team of super-talented people who are actively choosing to join us on our journey rather than working in big corporates. Your voice matters at Ascent. We are always keen to hear your opinions and those ideas that come to you at 3am (some of them are definitely as good as they seemed at the time). You’ll develop your talent through our internal Academy, providing a wide range of personal development, up-skilling and cross-skilling opportunities.
Need to know more? We’re here to answer any questions you have about this role or any others featured on the site. If you can’t see one that’s the perfect fit for you, drop us a note and let us know what we’re missing.
Senior Data Scientist (R, MLOps) employer: Tekaris GmbH
Contact Detail:
Tekaris GmbH Recruiting Team
ta.admin@ascent.io
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist (R, MLOps)
✨Tip Number 1
Familiarise yourself with the specific MLOps frameworks mentioned in the job description. Understanding how these frameworks integrate with R and GitHub will give you a significant edge during discussions with the hiring team.
✨Tip Number 2
Prepare to discuss your experience with cloud platforms like Databricks. Be ready to share examples of how you've used these tools in past projects, as this will demonstrate your practical knowledge and problem-solving skills.
✨Tip Number 3
Brush up on your communication skills, especially when it comes to explaining complex technical concepts to non-specialists. Practising how to convey your ideas clearly can set you apart from other candidates.
✨Tip Number 4
Research Ascent's recent projects and clients to understand their business model and values. This knowledge will help you align your answers with their mission and show that you're genuinely interested in being part of their team.
We think you need these skills to ace Senior Data Scientist (R, MLOps)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with R, MLOps, and DevOps frameworks. Use specific examples that demonstrate your skills in these areas, especially any relevant projects or achievements.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data science and how it aligns with Ascent's mission. Mention your understanding of their work in various industries and how your background can contribute to their goals.
Showcase Communication Skills: Since the role requires superb written and verbal communication skills, include examples of how you've effectively communicated complex ideas to non-specialists in previous roles or projects.
Highlight Continuous Learning: Ascent values professional development, so mention any relevant training, certifications, or courses you've completed. This shows your commitment to growth and aligns with their focus on learning.
How to prepare for a job interview at Tekaris GmbH
✨Showcase Your R Expertise
Make sure to highlight your thorough knowledge of the R language during the interview. Be prepared to discuss specific projects where you've used R, and how it contributed to the success of those projects.
✨Demonstrate MLOps Understanding
Since the role involves MLOps frameworks, be ready to explain your understanding of MLOps and DevOps principles. Share examples of how you've implemented these frameworks in past roles, particularly in deploying statistical models.
✨Communicate Complex Ideas Simply
As the position requires communicating complex technical concepts to non-specialists, practice explaining your work in simple terms. Use analogies or relatable examples to ensure clarity and understanding.
✨Emphasise Collaboration Skills
Given the collaborative nature of the role, be prepared to discuss how you've worked effectively with both technical teams and statisticians. Highlight any experiences where you acted as a bridge between different groups to achieve a common goal.
