Data Scientist

Sunderland
4 weeks ago
Applications closed

Related Jobs

View all jobs

Data Scientist

Data Scientist

Data Scientist

Data Scientist (eDV clearance required)

Data Scientist - Remote

Data Scientist/Statistician

Data Scientist

Permanent

£54,000

Newcastle upon Tyne

Hybrid working/ Flexible hours

Sellick Partnership are assisting our long-standing client based in Newcastle upon Tyne to recruit for a Data Scientist on a permanent basis.

This is a newly created role to work on projects for the organisation that make a real impact to their customers, joining a team that lead on analysing and reporting data for the business and providing customer insights.

The Data Scientist will play a crucial role in the business to harness new data science opportunities and methods.

Key Responsibilities:

Working with other teams as part of the wider data function driving insights, data quality, data-led decisions and to drive business improvement.
As the Data Scientist, you will work with the senior leadership team to deliver best analytical practices.
Using data visualisation tools and statistical methodology to generate actionable insights, explore data and to identify trends.
Developing new algorithms, leading innovation in AI and deep-learning to address business challenges.
Translation of data into insights to inform business decisions.Experience:

Demonstratable knowledge and experience in a quantitative field such as mathematics, statistics, data science or computer science.
Experience working with the application of machine learning techniques and working with large data-sets.
Experience building reports in Power BI.
Continual professional development in the latest developments in Data Science.
The shaping and delivery of data strategies.
Strong skills in SQL, Python or R for data analysis and model development.
Competent user of visualisation and data manipulation tools.

This is a great time to join an organisation going through a major transformation programme in their newly formed Data Scientist role and be responsible for creating the Data Science discipline. Please get in touch with Adam Burgess at Sellick Partnership for more information.

Sellick Partnership is proud to be an inclusive and accessible recruitment business and we support applications from candidates of all backgrounds and circumstances. Please note, our advertisements use years' experience, hourly rates, and salary levels purely as a guide and we assess applications based on the experience and skills evidenced on the CV. For information on how your personal details may be used by Sellick Partnership, please review our data processing notice on our website

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.

AI Jobs for Non‑Technical Professionals: Where Do You Fit In?

Your Seat at the AI Table Artificial Intelligence (AI) has left the lab and entered boardrooms, high‑street banks, hospitals and marketing agencies across the United Kingdom. Yet a stubborn myth lingers: “AI careers are only for coders and PhDs.” If you can’t write TensorFlow, surely you have no place in the conversation—right? Wrong. According to PwC’s UK AI Jobs Barometer 2024, vacancies mentioning AI rose 61 % year‑on‑year, but only 35 % of those adverts required advanced programming skills (pwc.co.uk). The Department for Culture, Media & Sport (DCMS) likewise reports that Britain’s fastest‑growing AI employers are “actively recruiting non‑technical talent to scale responsibly” (gov.uk). Put simply, the nation needs communicators, strategists, ethicists, marketers and project leaders every bit as urgently as it needs machine‑learning engineers. This 2,500‑word guide shows where you fit in—and how to land an AI role without touching a line of Python.

ElevenLabs AI Jobs in 2025: Your Complete UK Guide to Crafting Human‑Level Voice Technology

"Make any voice sound infinitely human." That tagline catapulted ElevenLabs from hack‑day prototype to unicorn‑status voice‑AI platform in under three years. The London‑ and New York‑based start‑up’s text‑to‑speech, dubbing and voice‑cloning APIs now serve publishers, film studios, ed‑tech giants and accessibility apps across 45 languages. After an $80 m Series B round in January 2024—which pushed valuation above $1 bn—ElevenLabs is scaling fast, doubling revenue every quarter and hiring aggressively. If you’re an ML engineer who dreams in spectrograms, an audio‑DSP wizard or a product storyteller who can translate jargon into creative workflows, this guide explains how to land an ElevenLabs AI job in 2025.

AI vs. Data Science vs. Machine Learning Jobs: Which Path Should You Choose?

In recent years, the fields of Artificial Intelligence (AI), Data Science, and Machine Learning (ML) have experienced explosive growth. Spurred by the increase in data availability, advances in computing power, and the demand for intelligent decision-making, organisations of all sizes are investing heavily in these areas. If you’ve been exploring AI jobs on www.artificialintelligencejobs.co.uk, you’ve likely noticed that employers use terms like “AI,” “Data Science,” and “Machine Learning”—often interchangeably. While they are closely related, there are nuanced differences between these fields. Understanding these distinctions is key if you’re trying to decide which path suits you best. This comprehensive guide will help you differentiate among AI, Data Science, and Machine Learning. We will discuss the key skills for each, typical job roles, salary ranges, and provide real-world examples of professionals working in these fields. By the end, you should have a clearer idea of where your strengths and passions might fit, helping you take the next step towards securing your ideal role in the world of data-driven innovation.