Salary: £80,000 - 90,000 per year
Requirements: - We require a Bachelors, Masters, or PhD in Computer Science, Machine Learning, Applied Statistics, Mathematics, Engineering, Physics, or another technical field.
- We require 2–5+ years of professional experience applying machine learning and data mining techniques to solve real-world problems with substantial data sets.
- We require programming experience focused on machine learning, including SQL and Pythons Data Science stack.
- We value good knowledge of at least one big data framework such as PySpark, Hive, or Hadoop.
- We consider R, SPSS, and SAS nice-to-have skills.
- We require a strong understanding of machine learning methods and experience applying them in complex, data-rich environments.
- We require the 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.
- Familiarity with Generative AI and agentic systems is a strong plus.
- We require excellent time management skills to handle responsibilities in a complex and largely autonomous environment.
- We require willingness to travel.
- We require strong communication skills, both verbal and written, in English and local office language(s), with the ability to adapt communication style to different audiences and seniority levels.
Responsibilities: - We collaborate with clients and interdisciplinary teams to develop advanced analytics solutions, optimize code, and solve complex business challenges across industries.
- We partner with clients to understand their needs and develop impactful analytics solutions.
- We translate business challenges into analytical problems, build models to solve them, and ensure they are evaluated with relevant metrics.
- We contribute to internal tools and participate in R&D projects.
- We have opportunities to attend and present at leading conferences such as NIPS and ICML.
- We identify patterns in data and deliver innovative solutions that help clients maintain a competitive edge and transform their operations.
- We work closely with Data Scientists, Data Engineers, Machine Learning Engineers, Designers, and Product Managers worldwide on interdisciplinary projects.
- We partner with QuantumBlack leadership, client executives, and technical experts to lead the design and deployment of advanced machine learning and AI solutions.
Technologies: - AI
- Big Data
- Hadoop
- Hive
- Support
- Machine Learning
- PySpark
- SAS
- SQL
- Airflow
- AWS
- Cloud
- Databricks
- Docker
- GCP
- Kubernetes
- Python
More:
We are a high-performance, high-reward environment focused on driving lasting impact and building long-term capabilities with our clients. We provide resources, mentorship, apprenticeship, coaching, and exposure designed to accelerate your growth as a leader. Our learning culture emphasizes continuous development, clear and actionable feedback, and the opportunity to make a tangible impact with your ideas and contributions. We operate as a global community with colleagues across 65+ countries and more than 100 nationalities, and we offer a competitive salary based on location, experience, and skills, along with a comprehensive benefits package to support holistic well-being for you and your family. The role is based in London, and you will work within a dynamic, innovative environment alongside top-tier talent across disciplines.
last updated 39 week of 2026