Senior Data Scientist (R, MLOps)
Senior Data Scientist (R, MLOps)

Senior Data Scientist (R, MLOps)

London Full-Time 43200 - 72000 £ / year (est.) Home office (partial)
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Data Science function hiring in: 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. 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 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 ta.admin@ascent.io. For more details about life at Ascent, check out our Life Page . Our customers. Ascent works with over 170 businesses in the UK, Europe and North America. From global insurance, healthcare and retail to smart home devices, space exploration and cricket – we get to work with some of the sharpest minds in the brightest businesses. Developing an intuitive online tool for exterior landscaping design. Bringing on-demand to the UK’s favourite TV listing and review platform. RADIO TIMES Reducing cost, accelerating innovation and attracting new talent in healthcare. PREMIER Taking CX to the next level with AI for 200,000 members. INSTITUTE OF CHARTERED ACCOUNTANTS Empowering the evolution of online learning for a leading global platform. LINKEDIN LEARNING Improving health and well-being through data transformation. GSK BOSCH BREWDOG Empowering the actuarial community to solve problems with R. SWISS RE Rebuilding a complex online image editing application for scale. PICMONKEY Enabling data science teams to drive class-leading consumer engagement. HARRODS Sparking financial literacy and empowering young investors. RAIFFEISEN STEIERMARK Introducing formal QA processes, optimising delivery and improving software quality. Democratising data to engage new communities & protect the UK seabed. THE CROWN ESTATE Evolving a global infrastructure team into a proven Centre of Excellence for cloud. BDO Optimising performance & support with 360° insight into the elite Women’s game. ENGLAND & WALES CRICKET BOARD Digitalising orders, boosting efficiency and simplifying communication. STRABAG SYNGENTA Enhancing customer service with an intuitive online portal for managing insurance policies and claim processing. GRAWE Creating a seamless UX to simplify skin cancer risk assessments and build user trust. SKINSCREENER Improving experience and making life simpler for home automation customers. HIVE Developing an intuitive online tool for exterior landscaping design. MEYER Bringing on-demand to the UK’s favourite TV listing and review platform. RADIO TIMES Reducing cost, accelerating innovation and attracting new talent in healthcare. PREMIER Taking CX to the next level with AI for 200,000 members. INSTITUTE OF CHARTERED ACCOUNTANTS Empowering the evolution of online learning for a leading global platform. LINKEDIN LEARNING Improving health and well-being through data transformation. GSK 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. #J-18808-Ljbffr

Senior Data Scientist (R, MLOps) employer: Tekaris GmbH

At Ascent, we pride ourselves on being an exceptional employer that champions a vibrant work culture and prioritises employee well-being. With a hybrid working model based in the UK, particularly around our Bristol and London offices, we offer flexibility, professional development opportunities, and a supportive community where your ideas are valued. Join us to be part of a dynamic team that is dedicated to innovation and inclusivity, making a meaningful impact across various industries.
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Contact Detail:

Tekaris GmbH Recruiting Team

ta.admin@ascent.io

Senior Data Scientist (R, MLOps)
Tekaris GmbH
Location: London
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  • Senior Data Scientist (R, MLOps)

    London
    Full-Time
    43200 - 72000 £ / year (est.)
  • T

    Tekaris GmbH

    50-100
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