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

Apply Now

Data Scientist

Willingcare
London
6 months ago
Applications closed

Related Jobs

View all jobs

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist - Tax & Legal

Job Description

Data Scientist (Mid/Senior)

Salary: 65000

We are partnering with a leading consulting firm that is looking for a Data Scientist to join their team. This role offers the chance to work on innovative AI and datadriven transformation projects helping businesses harness the power of technology to drive meaningful change.

As a Data Scientist you will be responsible for developing AI models analysing complex datasets and optimising machine learning algorithms. You will collaborate with crossfunctional teams to deliver highimpact solutions guiding stakeholders through the data science process from model development to implementation.

What Youll Need:

  • 1 to 7 years of experience in data science AI or machine learning.
  • A Masters or PhD in Computer Science Engineering Mathematics Statistics Physics or a related field.
  • Strong proficiency in machine learning techniques including model training testing and feature selection.
  • Experience with big data tools such as Spark and Hadoop.
  • Handson coding experience in Python Bash and either Java or Scala.
  • Knowledge of statistical methods and data visualisation techniques.
  • Familiarity with advanced algorithms including treebased models (Random Forests XGBoost LGBM) and deep learning.
  • An analytical mindset with the ability to extract insights from complex datasets.
  • Excellent communication skills with the ability to explain technical concepts to both technical and nontechnical audiences.
  • A proactive customerfocused approach to problemsolving.

Preferred Experience:

  • Background in financial services.
  • Exposure to startup environments or agile project methodologies.

Key Responsibilities:

  • Develop AI models and machine learning algorithms to solve business challenges.
  • Collect clean and preprocess large datasets to ensure accuracy and reliability.
  • Implement and finetune machine learning models optimising performance through feature engineering.
  • Work with programming languages such as Python Java or Scala to build and deploy solutions.
  • Analyse and interpret model results providing insights and recommendations to stakeholders.
  • Collaborate with technical and business teams to align AI solutions with strategic objectives.
  • Support and train clients on AI applications ensuring smooth adoption and usage.
  • Stay up to date with the latest advancements in data science and contribute to best practices within the team.

Reference: WILL123861/MB

INDIT


Key Skills
Laboratory Experience,Immunoassays,Machine Learning,Biochemistry,Assays,Research Experience,Spectroscopy,Research & Development,cGMP,Cell Culture,Molecular Biology,Data Analysis Skills
Employment Type :Full-Time
Experience:years
Vacancy:1

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.