Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Senior Data Scientist

Wordnerds
Gateshead
9 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Important information

Please note - this role requires you to work from our Gateshead (North East UK) office for 2/3 (non-consecutive) days a week. Please ensure you can meet this criteria before applying.


Please also note the 'How To Apply' section further down this page, we have a strict application process.


Deadline for Applications: 2nd January 2025


Key Information

  • Full-time, permanent, subject to a 6-month probationary period
  • Starting salary of £50k-70k, depending on experience
  • Flexible working, 37.5 hours per week - Core hours: 10 am to 4 pm, Monday to Friday
  • Hybrid - Two to three days/week from our fantastic office in Proto, Gateshead


About the Role

At Wordnerds we are creating a platform allowing our customers to analyse their customer feedback. The features we need to do that span skill sets and programming languages. As a Data Scientist, we need you to bring knowledge of algorithms, machine learning, and statistics to those features. You will need these data skills but also the ability to build them into reliable Python services with well-tested code.


You will be coming into a cross-functional team delivering features to the platform. That might be rolling out new models or processes to analyse data, advising on the best way to visualise data, or working with Engineers to optimise analysis of big datasets. 


Skills Profile

Required

  • 3 years+ experience working in a Data Science or Data Engineering environment
  • Strong Python skills
  • Strong knowledge of Data Science/Machine Learning techniques
  • Experience with at leastsomeof the libraries we use: PyTorch, Numpy, Scikit-Learn, Flask, Pandas, PyTest
  • Experience with at leastsomeof the database tech we use: AWS Aurora, BigQuery, MongoDB, ElasticSearch
  • Excellent communication skills – the ability to work effectively with all stakeholders


Advantageous

  • Some kind of Data Science qualification
  • MLOps knowledge, we use AWS ECS with Docker containers to host Python services and for model inference or BigQueryML
  • Previous experience working for a start-up or building SaaS


Job Description

An outline of the responsibilities, skills, behaviours and outcomes associated with the job can be found in the Job Description for the role on our careers page at https://www.wordnerds.ai/careers


Other Benefits

In addition to the salary and key information listed at the top of this advert, you can expect:

  • 25 days holiday plus bank holidays with additional days rewarded for long service up to a maximum of 30 days
  • Work from anywhere for up to one month per year
  • Modern, light, dog-friendly office in Proto on the Newcastle-Gateshead quayside
  • Training & development budget
  • Work laptop (Mac) and home-office equipment if needed
  • Social budget
  • Annual strategy away-days
  • Transparency — we practise open-book management


How to Apply - CV and Introductory Video

Please send your current CV to along with a short (5 min max!) introductory video, explaining:

  • A little about you—what kind of person are you at work and away from it?
  • What excites you about the role, Wordnerds and the challenge we solve
  • Why, specifically, are you a great candidate to join the team


We’re not after Hollywood production standards—an uncut phone video is absolutely fine—and we get that not everyone is an extrovert. Be yourself, we’re interested in what you can bring to the team, not how well you’re suited to be a TV presenter.


Thank you so much for your interest


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.

How to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.