Data Scientist

Willingcare
London
9 months ago
Applications closed

Related Jobs

View all jobs

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist - Contract - 12 months

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.

Jobs

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.

Education Jobs

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.

Jobs

Neurodiversity in AI Careers: Turning Different Thinking into a Superpower

The AI industry moves quickly, breaks rules & rewards people who see the world differently. That makes it a natural home for many neurodivergent people – including those with ADHD, autism & dyslexia. If you’re neurodivergent & considering a career in artificial intelligence, you might have been told your brain is “too much”, “too scattered” or “too different” for a technical field. In reality, many of the strengths that come with ADHD, autism & dyslexia map beautifully onto AI work – from spotting patterns in data to creative problem-solving & deep focus. This guide is written for AI job seekers in the UK. We’ll explore: What neurodiversity means in an AI context How ADHD, autism & dyslexia strengths match specific AI roles Practical workplace adjustments you can ask for under UK law How to talk about your neurodivergence during applications & interviews By the end, you’ll have a clearer picture of where you might thrive in AI – & how to set yourself up for success.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.