Senior Data Scientist (Biostats Engineering)

Ascent
uk, 25029a, gb
2 weeks ago
Create job alert

This is a perfect opportunity for ambitious individuals to join a team of curious minds and support peers with a passion and the skills for creating value for businesses using 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. Join us in shaping a workplace where proximity enhances collaboration while inclusivity strengthens our community.    About the role    We are looking for an experienced Data Scientist to work at one of our global biopharma customers on a range of Biostats models consulting and development engagements.

They are expected to bring extensive knowledge in best practices on R package development, model development and deployment on Databricks, collaboration with version control systems, and familiarity with other topics such as data architecture and cloud infrastructure.

They will be working closely with Ascent’s existing team embedded in customer’s organisation; this demands professionalism and empathy.

A dedicated focus on delivering high-impact outcomes that delight our customers is key.    The role is expected to perform these tasks in an enterprise environment:    Develop professional quality R packages; Provide consultancy on Biostats model development and deployment best practices; Review and optimise code, integrate existing modelling code into packages; Design and implement end to end modelling and deployment process on Databricks; Support and collaborate with adjacent teams (e.g.

products, IT) to integrate the modelling solution; Continually innovate with the team and the customer on using modern tooling to improve model development and deployment; Skills and Experience A successful candidate will have demonstrated these experiences: A background or work experience in biostatistics or a similar discipline; Strong R programming, and R package development; Statistical model deployment, and end-to-end MLOps is nice to have; Having worked extensively on cloud infrastructure, preferably Databricks and Azure; Shiny development is nice to have; Can work with customer stakeholders to understand business processes and workflows, and can design solutions to optimize processes via streamlining and automation; DevOps experience and familiarity with software release process; Familiar with agile delivery methods.

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 .

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

Powered by JazzHR

Related Jobs

View all jobs

Senior Data Scientist – Machine Learning -  Defence –Eligible for SC

Senior Data Scientist (Quant)

Senior Data Scientist London, England

Senior Data Scientist, MAPLE - Recommender System

Senior Data Scientist - B2B

Senior Data Scientist(Commerce)

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Negotiating Your AI Job Offer: Equity, Bonuses & Perks Explained

Artificial intelligence (AI) has proven itself to be one of the most transformative forces in today’s business world. From smart chatbots in customer service to predictive analytics in finance, AI technologies are reshaping how organisations operate and innovate. As the demand for AI professionals grows, so does the complexity of compensation packages. If you’re a mid‑senior AI professional, you’ve likely seen job offers that include far more than just a base salary—think equity, bonuses, and a range of perks designed to entice you into joining or staying with a company. For many, the focus remains squarely on salary. While that’s understandable—after all, your monthly take‑home pay is what covers day-to-day expenses—limiting your negotiations to salary alone can leave considerable value on the table. From stock options in ambitious startups to sign‑on bonuses that ‘buy you out’ of your current contract, modern AI job offers often include elements that can significantly boost your long-term wealth and job satisfaction. This article aims to shed light on the full scope of AI compensation—specifically focusing on how equity, bonuses, and perks can enhance (or sometimes detract from) the overall value of your package. We’ll delve into how these elements work in practice, what to watch out for, and how to navigate the negotiation process effectively. Our goal is to provide mid‑senior AI professionals with the insights and tools to land a holistic compensation deal that accurately reflects their technical expertise, leadership potential, and strategic importance in this fast-moving field. Whether you’re eyeing a leadership role in machine learning at an established tech giant, or you’re considering a pioneering position at a disruptive AI startup, the knowledge in this guide will help you weigh the merits of base salary alongside the potential riches—and risks—of equity, bonuses, and other benefits. By the end, you’ll have a clearer sense of how to align your compensation with both your immediate lifestyle needs and long-term career aspirations.

AI Jobs in the Public Sector: MOD, NHS & Gov Digital Service Opportunities

Artificial intelligence (AI) has rapidly evolved from a niche field of computer science into a transformative force reshaping industries across the globe. From healthcare to finance and from education to defence, AI-driven tools and techniques are revolutionising how we approach problems, improve efficiency, and make data-driven decisions. Nowhere is this transformation more apparent than in the United Kingdom’s public sector. Key government entities, including the Ministry of Defence (MOD), the National Health Service (NHS), and the Government Digital Service (GDS), are increasingly incorporating AI into their operations. Consequently, AI jobs within these bodies are growing both in number and strategic importance. In this comprehensive blog post, we will explore the landscape of AI jobs across the UK public sector, with a close look at the MOD, the NHS, and the Government Digital Service. We will delve into the reasons these organisations are investing heavily in AI, the types of roles available, the essential skills and qualifications required, as well as the salary ranges one might expect. Whether you are a new graduate keen to make a meaningful impact through your technical skills or a seasoned professional looking for your next career move, the public sector offers a wealth of opportunities in AI. By the end of this article, you will have a clearer understanding of why AI is so crucial to the public sector’s success, which roles are in demand, and how you can tailor your application to stand out in a competitive and rewarding job market.

Contract vs Permanent AI Jobs: Which Pays Better in 2025?

n the ever-evolving world of technology, the competition for top talent in artificial intelligence (AI) is intense—and the rewards are significant. By 2025, AI roles in machine learning, natural language processing, data science, and robotics are expected to be among the highest-paid professions within the UK technology sector. As an AI professional, deciding between contracting (either as a day‑rate contractor or via fixed-term contracts) and permanent employment could drastically impact your take‑home pay, job security, and career trajectory. In this article, we will delve into the various types of AI roles in 2025—particularly focusing on day‑rate contracting, fixed-term contract (FTC) roles, and permanent positions. We will compare the earning potential across these three employment types, discuss the key pros and cons, and provide practical examples of how your annual take‑home pay might differ under each scenario. Whether you are already working in AI or looking to break into this booming field, understanding these employment options will help you make an informed decision on your next move.