Data Scientist

Sellick Partnership
Newcastle upon Tyne
1 month ago
Applications closed

Related Jobs

View all jobs

Data Scientist

Data Scientist - Imaging - Remote - Outside IR35

Data Scientist - Measurement Specialist

Data Scientist (Predictive Modelling) – NHS

Data Scientist

Data Scientist

Senior Manager at Sellick Partnership | ICT & Digital Technology | Public Sector and Commerce & Industry | North East

Data Scientist

Permanent

Newcastle upon Tyne

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.

Seniority level

  • Mid-Senior level

Employment type

  • Full-time

Job function

  • Information Technology
  • Staffing and Recruiting


#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.

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.

AI Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Changing career into artificial intelligence in your 30s, 40s or 50s is no longer unusual in the UK. It is happening quietly every day across fintech, healthcare, retail, manufacturing, government & professional services. But it is also surrounded by hype, fear & misinformation. This article is a realistic, UK-specific guide for career switchers who want the truth about AI jobs: what roles genuinely exist, what skills employers actually hire for, how long retraining really takes & whether age is a barrier (spoiler: not in the way people think). If you are considering a move into AI but want facts rather than Silicon Valley fantasy, this is for you.

How to Write an AI Job Ad That Attracts the Right People

Artificial intelligence is now embedded across almost every sector of the UK economy. From fintech and healthcare to retail, defence and climate tech, organisations are competing for AI talent at an unprecedented pace. Yet despite the volume of AI job adverts online, many employers struggle to attract the right candidates. Roles are flooded with unsuitable applications, while highly capable AI professionals scroll past adverts that feel vague, inflated or disconnected from reality. In most cases, the issue isn’t a shortage of AI talent — it’s the quality of the job advert. Writing an effective AI job ad requires more care than traditional tech hiring. AI professionals are analytical, sceptical of hype and highly selective about where they apply. A poorly written advert doesn’t just fail to convert — it actively damages your credibility. This guide explains how to write an AI job ad that attracts the right people, filters out mismatches and positions your organisation as a serious employer in the AI space.