Senior software engineer quantumblack, ai by mckinsey Work, Jobs in Raynes Park, Gtl (with Salaries)

Data Scientist II - QuantumBlack, AI by McKinsey
McKinsey & Company —London
- Doctoral degree
- Computer Science
- Master's degree
Software Engineer - QuantumBlack, AI by McKinsey
McKinsey & Company —London
- Master's degree
- No degree
- Mentoring
Data Scientist I - QuantumBlack, AI by McKinsey
McKinsey & Company —London
- Doctoral degree
- Computer Science
- Master's degree
Senior Software Engineer - QuantumBlack, AI by McKinsey
McKinsey & Company —London
- Doctoral degree
- Computer Science
- Master's degree
Data Engineer I - QuantumBlack, AI by McKinsey
McKinsey & Company —London
- Computer Science
- Engineering
- English
Junior Associate - McKinsey Tech & AI
McKinsey & Company —London
- Computer Science
- Bachelor's degree
- Travel
Data Engineer II - QuantumBlack, AI by McKinsey
McKinsey & Company —London
- Computer Science
- Engineering
- English
Principal, Agentic Strategy & Solutions
Atlas Technica —London
- Full-time
- Remote
- AI
- Annual leave
Quick apply
Founding Growth Marketer
Magentic —London
- £90,000 - £100,000 a year
- Full-time
- Hybrid work
- AI
- Work from home
Director, Corporate Strategy EMEA
Adobe —London
- Full-time
- Master's degree
- Analysis skills
- Team management
Data Scientist - Scientific AI
McKinsey & Company —London
- Doctoral degree
- Master's degree
- AI
Forward Deployed Engineer
Magentic —London
- £50,000 - £65,000 a year
- Full-time
- Hybrid work
- SQL
- AI
Senior Associate, Corporate Strategy EMEA
Adobe —London
- Full-time
- Data analysis skills
- Research
- Analysis skills
Founding Engineer (Full Stack)
Riplo —London
- Full-time
- Master's degree
- AWS
- AI
Quick apply
Founder's Associate (Technical)
Installio —London
- Hybrid work
- No experience needed
- Analysis skills
- AI
Quick apply
Strategy Associate
Harvey —London
- Full-time
- Hybrid work
- SQL
- Travel
- Financial services
Physical AI Data Scientist - QuantumBlack Labs
McKinsey & Company —London
- Microsoft Powerpoint
- Doctoral degree
- Master's degree
GTM Associate
Sana Labs AB —London
- Full-time
- Spanish
- Business development
- In-person
Delivery Manager - Orphoz
McKinsey & Company —London
- Microsoft Powerpoint
- Engineering
- Master's degree
Graduate Desktop UI Developer
Acturis —London
- Full-time
- Hybrid work
- Bachelor's degree
- Communication skills
Quick apply

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Data Scientist II - QuantumBlack, AI by McKinsey

McKinsey & Company -
London

Apply Now

Job details

Qualifications

Data mining
Doctoral degree
Computer Science
Big data
Apache Hive
Master's degree
Bachelor's degree
Machine learning
Machine learning modelling
Data analytics
Multidisciplinary collaboration
Data science
AI
Communication skills
Time management
Hadoop

Full job description

Job ID: 102715

London

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 collaborate with clients and interdisciplinary teams to develop advanced analytics solutions, optimize code, and solve complex business challenges across industries.

You’ll deepen your expertise by contributing to cutting-edge projects, R&D, and global conferences while working alongside top-tier talent in a dynamic, innovative environment.

You’ll partner with clients to understand their needs and develop impactful analytics solutions. You’ll translate business challenges into analytical problems, build models to solve them, and ensure they are evaluated with relevant metrics. Additionally, you’ll contribute to internal tools, participate in R&D projects, and have opportunities to attend and present at leading conferences like NIPS and ICML.

Your work will create real-world impact. By identifying patterns in data and delivering innovative solutions, you’ll help clients maintain a competitive edge and transform their operations—driving measurable, lasting improvements across industries.

You’ll be based in London and collaborate closely with Data Scientists, Data Engineers, Machine Learning Engineers, Designers, and Product Managers worldwide. Together, you’ll work on interdisciplinary projects to solve complex business challenges across various sectors. Partnering with QuantumBlack, AI by McKinsey leadership, client executives, and technical experts, you’ll lead the design and deployment of advanced machine learning and AI solutions that deliver tangible business impact.

You’ll thrive in an unparalleled environment for growth. You’ll connect technology with business value, tackle diverse challenges, and collaborate with inspiring multidisciplinary teams, gaining a holistic understanding of AI’s transformative potential while advancing as a technologist and leader.

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

Bachelor’s, Master’s, or PhD in Computer Science, Machine Learning, Applied Statistics, Mathematics, Engineering, Physics, or other technical fields

2+ years of professional experience applying machine learning and data mining techniques to solve real-world problems with substantial data sets

Programming experience (focus on machine learning): SQL and Python’s Data Science stack; good knowledge of at least one big data framework (e.g., PySpark, Hive, Hadoop) is a plus. R, SPSS, and SAS are considered nice-to-have

Strong understanding of machine learning methods and experience applying them to complex, data-rich environments

Ability to prototype and deploy statistical and machine learning algorithms, and translate analytical outputs into data-driven solutions

Experience deploying ML/AI technologies into production or applied business environments is a plus

While we advocate using the right tech for the right task, we often leverage: Python, PySpark, the PyData stack, SQL, Airflow, Databricks, Kedro (our open-source data pipelining framework), Dask/RAPIDS, Docker, Kubernetes, and cloud solutions such as AWS, GCP, and Azure

Familiarity with Generative AI (GenAI) and agentic systems is a strong plus

Excellent time management skills to handle responsibilities in a complex and largely autonomous environment

Willingness to travel

Strong communication skills, both verbal and written, in English with the ability to adapt your style to different audiences and seniority levels

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

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senior software engineer quantumblack, ai by mckinsey jobs in raynes park, gtl

Data Scientist II - QuantumBlack, AI by McKinsey

Software Engineer - QuantumBlack, AI by McKinsey

Data Scientist I - QuantumBlack, AI by McKinsey

Senior Software Engineer - QuantumBlack, AI by McKinsey

Data Engineer I - QuantumBlack, AI by McKinsey

Junior Associate - McKinsey Tech & AI

Data Engineer II - QuantumBlack, AI by McKinsey

Principal, Agentic Strategy & Solutions

Founding Growth Marketer

Director, Corporate Strategy EMEA

Data Scientist - Scientific AI

Forward Deployed Engineer

Senior Associate, Corporate Strategy EMEA

Founding Engineer (Full Stack)

Founder's Associate (Technical)

Strategy Associate

Physical AI Data Scientist - QuantumBlack Labs

GTM Associate

Delivery Manager - Orphoz

Graduate Desktop UI Developer

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