Data Scientist

MBN Solutions
Glasgow
10 months ago
Applications closed

Related Jobs

View all jobs

Data Scientist

Data Scientist

Data Scientist - London

Data Scientist | London | AI-Powered SaaS Company

Data Scientist - Remote

Data Scientist/Statistician

Data Scientist (Pharma)

Fully remote (UK/Ireland/Europe)

Salary up to £75k depending on experience

MBN Solutions are delighted to have been retained by their client, a powerhouse in the Pharmaceuticals industry, to onboard a talented and innovative Data Scientist to join the team. This Data Scientist will help rocket the business into the future, masterfully crafting, launching, and fine-tuning cutting-edge Advanced Analytics Models. You will be the person behind transforming raw data into actionable insights, ensuring the organisation makes decisions that are not just informed but inspired. 

The Job:

Data Modelling:End to end model development & refining, with best practice in mindAnalysis delivery:Deliver Advanced analytics to support Commercial decision makingSystem evolutions:Evolve Advanced analytics toolkit with new functionalities to better support the businessData Management: Ensure all data required for the advanced analytics are available, clean, consistent and documentedData cleansing:Eliminating noise and errors in data while ensuring consistency across areasData delivery: Ensure all data required for the advanced analytics is available, clean, consistent, easily accessible and documentedAnomaly detection & management:Identification of analysis areas of interest and investigation into theseSupport to business:Support the business with needed insights coming out of Advanced AnalyticsTeam education:Educate the organisation on data, data science, Analytics, AI and data to improve data literacy across the businessData visualisation:Creation of optimised business views in Power BI to enable the business to make decisions using our data science modelsData stack enrichment:Feed the data stack with new data sources and ensure this supports better decision makingAdvanced analysis improvements :Implement new analytical methods to improve business understanding through new ways to use dataData Science Roadmap:Ideate and help define our data strategy with new insights using new models, frameworks and capabilities that can be single-market or business wideContinuous Model Engineering:Ensure that model creation is not the end of the process – continual improvement & calibration is to be implemented

Skills and experience this Data Scientist needs to have:

Strong experience with regression, classification and clustering in complex data (sparsity, missingness, fast-changing, etc.) and business environments (LoE, competitive analysis, research horizon scanning, etc.) platforms (frameworks, techniques and libraries, expertise working with large data sets, end-to-end model building with a view to scale from the beginning) Expertise in writing models (and code) that is readable, documented, well tested and robust in production for scaling. Easy identification of model drift and rectification Expansive knowledge of the business & industry data ecosystem. Can determine and correct data quality issues as well as identification of additional data sources for inclusion in the pipeline Experienced in data management, governance, data & modelling lifecycles (ML Ops). Seek to improve model efficiency, performance, and scalability

Microsoft Technology Stack experience sought (Azure Data Lake, Databricks, Azure ML, Power BI), and capabilities of programming in and understanding R & Python.

You will also likely have:

A passion for problem-solving and innovation: tackling key data problems experimenting with cutting edge DS, ML & AI techniques, frameworks and models. Eager & willing to learn new techniques, approaches and data science tools Not afraid to push boundaries, failing fast, establishing best practice with all development and has a keen interest in ethical & responsible model development (including knowledge of Data legislation e.g. GDPR) Advanced capability in data story-telling, bringing people on a journey using insights discovered in the data Good business acumen, teamwork, approachable & good business ethic as standard Project management skills, project estimation, ppt creation & presentation capabilities Entrepreneurial mindset, driven, organised & not phased by remote/virtual work

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.