Data Scientists at QuantCo will analyze data, build machine learning models, and communicate results to stakeholders, aiming for impactful solutions.
Data Scientists at QuantCo will learn what it takes to create impact from data: identifying the right framework to translate a business question into a statistical problem; locating and combining data sources as well as transforming large datasets; running in-depth analyses; building machine learning models that automate large-scale decisions and integrating them into live business processes; and interpreting, visualizing, and communicating results to internal and external stakeholders.
We are looking for team players who have excellent quantitative abilities and:
- A degree in economics, statistics, mathematics, computer science, engineering, physics, or similar fields at a leading university
- In-depth understanding of mathematical and statistical concepts behind most common machine learning techniques and an interest in causal inference
- Experience in coding and working with data (from a previous research or industry internship or extensive course projects)
- Ability to see solutions and opportunities that others do not see
- High level of commitment and reliability, good balance of pragmatism and perfectionism
Bonus if skilled in any of the following tools and/or languages:
- SQL
- Tensorflow
- Git
- Cloud infrastructure
What we offer
You will be part of a smart, motivated, and driven team that revels in working on challenging problems and finding novel solutions; values our customers and users; and strives to deliver thoughtful and impactful products. You will be surrounded by people that respect each other and the contributions each of us brings. We offer a generous compensation package that includes a base salary, bonus, stock options, and relocation support along with additional location-based benefits.
About QuantCo
At QuantCo, we leverage expertise in data science, engineering, and economics to help organizations turn data into decisions. Started by 4 PhDs from Harvard and Stanford, we are now more than 180 professionals with extensive quantitative, engineering, and business experience. We are globally distributed with offices in Berlin, Boston, Cologne, Karlsruhe, London, Munich, San Francisco, and Zurich.
Our solutions include algorithmic pricing, data-driven claims management, and high-dimensional forecasting systems. Our customers include some of the largest financial, retail, and healthcare organizations in the US and Europe. We impact core business processes and decisions by combining advanced data-driven insights with scalable engineering solutions.
We are excited about writing mission-critical code that affects millions of people and impacts billions of dollars. If you feel the same way, we look forward to hearing from you.
QuantCo London, England Office
Regent Street, , London, United Kingdom
Similar Jobs
Aerospace • Artificial Intelligence • Robotics • Defense
Develop and deploy machine learning and data science solutions for mission planning, situational awareness, workflow automation, predictive modeling, and operational decision support. Process multimodal datasets including drone sensor, geospatial, time-series, text, and unstructured data. Build, evaluate, optimize, document, and productionize models while collaborating with engineering, product, and domain teams. Apply classical machine learning, deep learning, language models, and AI ethics practices across the full data science lifecycle.
Top Skills:
Ci/CdCnnsDockerGeopandasGisGitGoogle Cloud PlatformHugging Face TransformersJupyter NotebooksKerasLstmsMlflowNumpyPandasPythonPyTorchQgisRasterioRest ApisRnnsScikit-LearnScipyTensorFlowTensorrtTransformersWeights & BiasesXgboost
Aerospace • Artificial Intelligence • Robotics • Defense
Develop and optimize large language models and NLP capabilities for decision support, mission planning, workflow automation, and situational awareness. Responsibilities include data preprocessing, model training and fine-tuning, RAG and agentic system development, evaluation, deployment, monitoring, documentation, and collaboration with engineering and product teams. The role requires strong Python, deep learning, LLMOps, cloud, and MLOps expertise, plus knowledge of responsible AI and bias mitigation.
Top Skills:
AwqAWSAzureCi/CdClaudeDockerGeminiGemmaGgufGitGCPGptGptqHugging Face DatasetsHugging Face TransformersJupyterKerasKubernetesLangchainLangfuseLanggraphLangsmithLlamaLlama.CppLlamaindexMistralMlflowOllamaPeftPgvectorPythonPyTorchQdrantQwenRagasSpacyTensorFlowTensorrt-LlmTgiTrlVertex AiVllmWeaviateWeights & Biases
Insurance • Consulting
Develop machine learning and analytics solutions using large-scale datasets. Responsibilities include feature engineering, predictive modeling, workflow optimization, customer implementations, production deployments, stakeholder collaboration, technical training, and resolving data-related challenges. The role requires Python, PySpark, machine learning pipelines, MLflow or Airflow, statistical modeling, and strong communication skills, with preferred experience in fraud detection, risk analytics, compliance, cloud environments, and model monitoring.
Top Skills:
AirflowSparkBig Data AnalyticsCloud-Based Data And Machine Learning EnvironmentsFeature EngineeringMachine LearningMachine Learning PipelinesMlflowPysparkPythonSQLStatistical Analysis
What you need to know about the London Tech Scene
London isn't just a hub for established businesses; it's also a nursery for innovation. Boasting one of the most recognized fintech ecosystems in Europe, attracting billions in investments each year, London's success has made it a go-to destination for startups looking to make their mark. Top U.K. companies like Hoptin, Moneybox and Marshmallow have already made the city their base — yet fintech is just the beginning. From healthtech to renewable energy to cybersecurity and beyond, the city's startups are breaking new ground across a range of industries.
