Senior Business Support

Newcastle upon Tyne
11 months ago
Applications closed

Related Jobs

View all jobs

Senior Azure Data Engineer - London

Head of Business Intelligence & Reporting

Sales Data Analyst

Senor / Lead Data Engineer

Data Compliance Officer

Senior Data Scientist

Senior Business Support Officer

£14.60 per hour

3 months contract

We have three temporary Senior Business Support Officer Roles available for a period of 12 weeks, the first of which is to support our IRS and MASH Teams within Children’s Services.

This is an extremely busy frontline service supporting our MASH/Triage Service, alongside six IRS Social Work Teams.

Duties and responsibilities

include call handling, undertaking data quality and administrative tasks such as processing and uploading contacts and referrals within our Eclipse Social Care System, minute taking, and some elements of financial processes.

The second and third SBSO Roles are to be based within our Long Term Social Work Teams, similar tasks outline above but as one support to a dedicated Social Work Team.

You will be in a team of 8 SBSO’s and provide a coordinated response to a Team of eight Social Workers.

You will need to be able to work to strict timescales and be adaptable to regular changing of priorities throughout the working day.

The successful candidate will be able to multi-task, have excellent communication and customer service skills, and be able to work both independently and within a team environment.

Interested please apply

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.

New Data Science Employers to Watch in 2026: UK and International Companies Leading Analytics and AI Innovation

Data science has emerged as one of the most transformative forces across industries, turning raw information into actionable insights, predictive models, and AI-powered solutions. In 2026, the UK is witnessing a surge in organisations where data science is not just a support function but the core of their products and services. For professionals exploring opportunities on www.DataScience-Jobs.co.uk , identifying these employers early can provide a competitive advantage in a market with high demand for advanced analytics and machine learning expertise. This article highlights new and high-growth data science employers to watch in 2026, focusing on UK startups, scale-ups, and global firms expanding their data science operations locally. All of the companies included have recently raised investment, won high-profile contracts, or significantly scaled their analytics teams.

How Many Data Science Tools Do You Need to Know to Get a Data Science Job?

If you’re trying to break into data science — or progress your career — it can feel like you are drowning in names: Python, R, TensorFlow, PyTorch, SQL, Spark, AWS, Scikit-learn, Jupyter, Tableau, Power BI…the list just keeps going. With every job advert listing a different combination of tools, many applicants fall into a trap: they try to learn everything. The result? Long tool lists that sound impressive — but little depth to back them up. Here’s the straight-talk version most hiring managers won’t explicitly tell you: 👉 You don’t need to know every data science tool to get hired. 👉 You need to know the right ones — deeply — and know how to use them to solve real problems. Tools matter, but only in service of outcomes. So how many data science tools do you actually need to know to get a job? For most job seekers, the answer is not “27” — it’s more like 8–12, thoughtfully chosen and well understood. This guide explains what employers really value, which tools are core, which are role-specific, and how to focus your toolbox so your CV and interviews shine.

What Hiring Managers Look for First in Data Science Job Applications (UK Guide)

If you’re applying for data science roles in the UK, it’s crucial to understand what hiring managers focus on before they dive into your full CV. In competitive markets, recruiters and hiring managers often make their first decisions in the first 10–20 seconds of scanning an application — and in data science, there are specific signals they look for first. Data science isn’t just about coding or statistics — it’s about producing insights, shipping models, collaborating with teams, and solving real business problems. This guide helps you understand exactly what hiring managers look for first in data science applications — and how to structure your CV, portfolio and cover letter so you leap to the top of the shortlist.