Data scientist Work, Jobs in Godstone, Sry (with Salaries)

Data Scientist - Scientific AI
McKinsey & Company —London
- Doctoral degree
- Master's degree
- C++
Graduate Machine Learning Researcher - Chicago
IMC Financial Markets —London
- £300,000 a year
- Full-time
- Doctoral degree
- Computer Science
- Machine learning
- Annual leave
Product Data Scientist (Data Labs)
Similarweb —London
- Computer Science
- Engineering
- Data analysis skills
2026 Machine Learning Center of Excellence (NLP)-Internship
JPMorganChase —London
- Full-time
- Hybrid work
- Doctoral degree
- Maths
- Machine learning
Data Scientist, Mid/Senior (m/f/*)
Quaisr —London
- £60,000 - £85,000 a year
- Full-time
- Hybrid work
- Doctoral degree
- Machine learning
- Linux
- Annual leave
Data Scientist I - QuantumBlack, AI by McKinsey
McKinsey & Company —London
- Azure
- Doctoral degree
- Computer Science
Data Scientist (Portfolio Analytics)
Lloyd's of London —London
- Full-time
- Hybrid work
- SQL
- Communication skills
- Python
- Employee discount
- Gym membership
Applied Scientist, Alexa International Tech
Amazon Development Centre (London) Limited —London
- Full-time
- Doctoral degree
- Java
- Master's degree
Principal Data Scientist
CoMind —London
- £136,000 - £190,000 a year
- Full-time
- IT
- AI
- Leadership
- Employee discount
Physical AI Data Scientist - QuantumBlack Labs
McKinsey & Company —London
- Microsoft Powerpoint
- Doctoral degree
- Laboratory experience
Applied AI Engineer
Revolut —London
- SQL
- Machine learning
- AI
Data Scientist
Lendable —London
- Full-time
- Hybrid work
- SQL
- Machine learning
- Communication skills
- Referral programme
11d
Applied Scientist, Agentic Automated Reasoning
Amazon Development Centre (London) Limited —London
- Full-time
- Doctoral degree
- Java
- AWS
Associate Data Scientist
Government Digital Service —London
- £45,020 - £56,355 a year
- Full-time
- Hybrid work
- SQL
- Analysis skills
- Presentation skills
- Annual leave
- Employee assistance programme
7d
Research Engineer, Machine Learning (Reinforcement Learning)
Anthropic —London
- £260,000 - £630,000 a year
- Hybrid work
- System design
- Master's degree
- C++
- Flexible schedule
Data Scientist II - QuantumBlack, AI by McKinsey
McKinsey & Company —London
- Azure
- Doctoral degree
- Computer Science
Quantitative Analyst (Math, Physics & Engineering degrees)
Prima —London
- £80,000 - £160,000 a year
- Hybrid work
- English
- Analysis skills
- Maths
- Work from home
Quick apply
Data Scientist, network planning optimization world wide, Supply Chain Optimization Technology
Amazon EU SARL (UK Branch) - D67 —London
- Full-time
- SQL
- Analysis skills
- Scripting
Data Scientist
Government Office for Science —London
- £36,735 - £43,020 a year
- Part-time
- Hybrid work
- Azure
- Doctoral degree
- Computer Science
- Annual leave
- Employee discount
5d
Math, Physics & Engineering Graduates
Prima —London
- £80,000 - £160,000 a year
- Hybrid work
- English
- Analysis skills
- Maths
- Work from home
Quick apply

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Data Scientist - Scientific AI

McKinsey & Company -
London

Apply Now

Job details

Qualifications

Statistics
Doctoral degree
PyTorch
NumPy
R
Master's degree
Pandas
OOP
C++
Maths
Machine learning
Deep learning
GitHub
Keras
AI
Graph databases
Python

Full job description

Job ID: 101642

London

Wroclaw

Do you want to do work that matters, alongside supportive leaders who will help you grow faster than you ever thought possible? Are you a creative problem-solver who is energized by challenges? You’ve come to the right place.

YOUR IMPACT

You will play a pivotal role in the creation/dissemination of cutting-edge knowledge and proprietary assets. Your role will be split between developing new internal knowledge, building AI and machine learning models & pipelines, supporting client discussions, prototype development, and deploying directly with client delivery teams.

You will be on McKinsey’s global scientific AI team helping to answer industry questions related to how AI can be used for therapeutics, chemicals & materials (including small molecules, proteins, mRNA, polymers, etc.). You will work in a multi-disciplinary team and build the firm’s reputation in your area of expertise. You will work with cutting edge AI teams on research and development topics across our life sciences, global energy and materials (GEM), and advanced industries (AI) practices, serving as a data scientist in a technology development and delivery capacity.

As part of our London or Wroclaw office, you will use your expertise in advanced mathematics, statistics, and/or machine learning, to help build and shape McKinsey’s scientific AI offering. You will bring distinctive statistical, machine learning, and AI competency to complex client problems.

In this role you will support the manager of data science with the development of data science and analytics roadmap of assets across cell-level initiatives. You will deliver distinctive capabilities, models, and insights through your work with client teams and clients. You will ensure statistical validity and outputs of analytics, AI/ML models and translate results for senior stakeholders, and will write optimized code to advance our Data Science Toolbox and codify analytical methodologies for future deployment.

YOUR GROWTH

Driving lasting impact and building long-term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance/high reward culture - doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward.

In return for your drive, determination, and curiosity, we'll provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever thought possible. Your colleagues—at all levels—will invest deeply in your development, just as much as they invest in delivering exceptional results for clients. Every day, you'll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you won’t find anywhere else.

When you join us, you will have:

Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey.
A voice that matters: From day one, we value your ideas and contributions. You’ll make a tangible impact by offering innovative ideas and practical solutions, all while upholding our unwavering commitment to ethics and integrity. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes.
Global community: With colleagues across 65+ countries and over 100 different nationalities, our firm’s diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, you’ll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences.
World-class benefits: On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well-being for you and your family.

YOUR QUALIFICATIONS AND SKILLS

Master’s or PhD degree

2+ years of relevant experience in statistics, mathematics, computer science, or equivalent experience with experience in research

Proven experience applying machine learning techniques to solve business problems

Proven experience in translating technical methods to non-technical stakeholders

Strong programming experience in Python and the relevant analytics libraries (e.g., pandas, numpy, matplotlib, scikit-learn, statsmodels, pymc, pytorch/tf/keras, langchain). R and C++ optional.

Experience with version control (GitHub)

ML experience with causality, Bayesian statistics & optimization, survival analysis, design of experiments, longitudinal analysis, surrogate models, transformers, Knowledge Graphs, Agents, Graph NNs, Deep Learning, computer vision

Ability to write production code and object-oriented programming

Please review the additional requirements regarding essential job functions of McKinsey colleagues.

Our unwavering commitment to integrity drives everything we do, guiding us to always act in the best interests of our clients, our people, and the communities we serve.

Apply Now

Refine Your Search

data scientist jobs in godstone, sry

Data Scientist - Scientific AI

Graduate Machine Learning Researcher - Chicago

Product Data Scientist (Data Labs)

2026 Machine Learning Center of Excellence (NLP)-Internship

Data Scientist, Mid/Senior (m/f/*)

Data Scientist I - QuantumBlack, AI by McKinsey

Data Scientist (Portfolio Analytics)

Applied Scientist, Alexa International Tech

Principal Data Scientist

Physical AI Data Scientist - QuantumBlack Labs

Applied AI Engineer

Data Scientist

Applied Scientist, Agentic Automated Reasoning

Associate Data Scientist

Research Engineer, Machine Learning (Reinforcement Learning)

Data Scientist II - QuantumBlack, AI by McKinsey

Quantitative Analyst (Math, Physics & Engineering degrees)

Data Scientist, network planning optimization world wide, Supply Chain Optimization Technology

Data Scientist

Math, Physics & Engineering Graduates

I want to receive the latest job alerts for data scientist in godstone, sry

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