Lead Insights Analyst / Data Analyst

Scot Lewis Associates
Birmingham
1 month ago
Applications closed

Related Jobs

View all jobs

Business Data Analyst

Geospatial Data Analyst

Business Data Analyst

Performance and Data Analyst (SEND)

Senior Data Analyst

Senior Data Analyst

Lead Insights Analyst / Data Analyst

My global banking client is looking for a contract Lead Insights Analyst to join the team.


12‑month contract on a hybrid basis, based in their Birmingham office (they may consider Leeds, Sheffield or Chester). Paying £780 per day.


Key Skills

  • Strong analytics or risk analytics experience, ideally within consumer lending (secured or unsecured).
  • Understanding of consumer lending products, profitability and credit risk, and proven ability to drive rapid insights from available data to drive business forward.
  • Proven ability to extract, analyse and interpret large, complex datasets to generate actionable business insights.
  • Advanced coding skills in SAS, SQL, Python (or similar) for data extraction, validation and analysis.
  • Deep understanding of data platforms and technologies (relational, NoSQL, data warehouses, metadata and transformation tools).
  • Experience delivering analytics projects across teams, with awareness of FCA regulation in a lending environment.
  • Highly self‑motivated, detail‑oriented and able to work independently under pressure to tight deadlines.

Responsibilities

  • Translate business needs into data products, analytics and machine‑learning solutions.
  • Build and maintain data assets, models and metadata to global standards.
  • Deliver insights across lending, consumer behaviour, marketing, pricing and growth.
  • Develop predictive, forecasting and stress‑testing models on large datasets.
  • Lead complex analytical projects, clearly communicating risk, reward and customer impact.

Please apply now for immediate consideration and further details.


Keywords: Insight analyst, Data Analyst, Data, Analytics, Credit Risk, Pricing, SAS, SQL, Python, NoSQL, Teradata.


Scot Lewis Associates Ltd is acting as an employment agency.


#J-18808-Ljbffr

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.

Products

Where to Advertise Machine Learning Jobs in the UK (2026 Guide)

Advertising machine learning jobs in the UK requires a different approach to most technical hiring. The candidate pool is small, highly specialised and in demand across AI labs, financial services, healthcare, autonomous systems and consumer technology simultaneously. Machine learning engineers and researchers move between roles through professional networks, conference communities and specialist platforms — not general job boards where ML roles compete with unrelated software engineering positions for the same audience. This guide, published by MachineLearningJobs.co.uk, covers where to advertise machine learning roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

Jobs

New Machine Learning Employers to Watch in 2026: UK and Global Companies Driving ML Innovation

Machine learning (ML) has transitioned from a specialised field into a core business capability. In 2026, organisations across healthcare, finance, robotics, autonomous systems, natural language processing, and analytics are expanding their machine learning teams to build scalable intelligent products and services. For professionals exploring opportunities on www.MachineLearningJobs.co.uk , understanding the companies that are scaling, winning investment, or securing high‑impact contracts is crucial. This article highlights the new and high‑growth machine learning employers to watch in 2026, focusing on UK innovators, international firms with significant UK presence, and global platforms investing in machine learning talent locally.

Careers

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.