Data Scientist (Hiring Immediately)

Yoh, A Day & Zimmermann Company
Widnes
1 year ago
Applications closed

Related Jobs

View all jobs

Data Scientist

Data Scientist

Data Scientist - New

Data Scientist - Imaging - Remote - Outside IR35

Data Scientist - Workforce Modelling

Data Scientist (Predictive Modelling) – NHS

Job Title:Data Scientist

Location: Widnes (originally on-site then move to a hybrid arrangement)

Salary: £45,000 - £65,000


Yoh have partnered with a rapidly scaling business, they are pioneering and leading a data-driven technologies business approach using sensor & signal detection with most of their work coming from cliental within the Water and Oil & Gas industry.


They have since completed another round of funding and have signed off several large projects to help support the product roadmap as well as to further develop to their R&D functionality. They are looking to scale the team by hiring multiple people to bolster their data capabilities.


Located on the outskirts of the Liverpool area, they are ideally looking to have someone join the team and originally be onsite so you can embed within the team and then as understanding grows potentially move to more of a hybrid basis.


The responsibilities of this role include:

  • Implement data and machine learning based methods for training and validating results.
  • Able to apply signal processing techniques in accordance with improving algorithm performance
  • Ability to process and visualise datasets and discussing the performance and accuracy of the data.


To be a successful candidate for this role:

  • Experience working with Python programming to focus on data manipulation and analysis
  • Experience working with large datasets performing Containerization, clustering, classification and regression with technologies such as Docker etc,.



** Experience working with problems involving image processing/ DAS sensors would be seen as very beneficial for applicant but not completely necessary to have **

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.

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.

Maths for AI Jobs: The Only Topics You Actually Need (& How to Learn Them)

If you are a software engineer, data scientist or analyst looking to move into AI or you are a UK undergraduate or postgraduate in computer science, maths, engineering or a related subject applying for AI roles, the maths can feel like the biggest barrier. Job descriptions say “strong maths” or “solid fundamentals” but rarely spell out what that means day to day. The good news is you do not need a full maths degree worth of theory to start applying. For most UK roles like Machine Learning Engineer, AI Engineer, Data Scientist, Applied Scientist, NLP Engineer or Computer Vision Engineer, the maths you actually use again & again is concentrated in a handful of topics: Linear algebra essentials Probability & statistics for uncertainty & evaluation Calculus essentials for gradients & backprop Optimisation basics for training & tuning A small amount of discrete maths for practical reasoning This guide turns vague requirements into a clear checklist, a 6-week learning plan & portfolio projects that prove you can translate maths into working code.