Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Senior Data Scientist - Hybrid/Newcastle - £80,000

Newcastle upon Tyne
1 year ago
Applications closed

Related Jobs

View all jobs

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist Customer Data

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

I'm currently working with a leader within their field who are genuinely looking to make a difference within their industry. They have recently expanded and have an environment where hard work is rewarded i.e progression based on meritocracy. They have many cases where junior individuals have been promoted to a senior manager position and beyond within years of starting their journey with this client.

Originally founded in the early 2000's, they've proven to be ahead of their competition but also boast about being able to offer stability as an organisation. They work with professionals to provide them with opportunities to really develop and up skill themselves.

This role is for a Senior Data Scientist where you'll be using the latest tech within Azure which means that you'll be working alongside the data team and using tools such as (Azure, ADF, Databricks).

As part of this role, you can expect:

Salary which is paying up to £80,000,
30 days annual leave,
Bonus of up to 10%
Unparalleled pension scheme,
As well as a range of other benefits.My client really understands the importance of work life balance as well as being able to provide employees with the opportunity for development. You can expect regular reviews as well as a sign posted career path to help you achieve your career aspirations.

Essential skills:

Proven history of working in a Senior Data Science capacity,
Exposure to Data technologies such as Azure, SQL, ML Techniques (Clustering, Regression), Understanding of normalisation, Python, R.
Exposure to Agile working methodologies. This role is an urgent requirement, there are limited interview slots left, if interested send an up to date CV to Shoaib Khan - or call (phone number removed) for a catch up in complete confidence.

Frank Group's Data Teams offer more opportunities across the UK than any other recruiter We're the proud sponsor and supporter of SQLBits, AWS RE:Invent, Power Platform World Tour, the London Power BI User Group, Newcastle Power BI User Group and Newcastle Data Platform and Cloud User Group

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

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

Industry Insights

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

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.

Machine Learning Team Structures Explained: Who Does What in a Modern Machine Learning Department

Machine learning is now central to many advanced data-driven products and services across the UK. Whether you work in finance, healthcare, retail, autonomous vehicles, recommendation systems, robotics, or consumer applications, there’s a need for dedicated machine learning teams that can deliver models into production, maintain them, keep them secure, efficient, fair, and aligned with business objectives. If you’re hiring for or applying to ML roles via MachineLearningJobs.co.uk, this article will help you understand what roles are typically present in a mature machine learning department, how they collaborate through project lifecycles, what skills and qualifications UK employers look for, what the career paths and salaries are, current trends and challenges, and how to build an effective ML team.