Job Detail

Data Scientist

QuantCo · GB
Data Science and AI Remote Full–time
ID: #10032
Posted: 2026-02-26
Salary

Description

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 does not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

Hard Skills 3
Skill Source Confidence
Git llm_hard
100%
SQL llm_hard
100%
TensorFlow llm_hard
100%
Soft Skills 14
Skill Source Confidence
Analytical Thinking llm_soft
100%
Stakeholder Communication llm_soft
100%
Teamwork llm_soft
100%
Reliability llm_soft
100%
Commitment llm_soft
100%
Collaboration llm_soft
100%
Problem-Solving llm_soft
100%
Critical Thinking llm_soft
100%
Attention to Detail llm_soft
80%
Written Communication llm_soft
80%
Decision-Making llm_soft
80%
Creative Problem Solving llm_soft
80%
Innovation llm_soft
80%
Verbal Communication llm_soft
80%
Apply Options
Publisher Direct Link
Built In London No Apply
Built In London No Apply
API Logs for this Job
Query Country Status Response ms Created
Data Scientist extracted 5997 2026-03-22 02:08
Data Scientist classified 424 2026-03-21 20:55
trainee data scientist in United Kingdom gb duplicate 9210 2026-03-21 17:22
junior data scientist in United Kingdom gb processed 15536 2026-03-21 16:54
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