value demonstration. Person Specification: To excel as a Principal Data Scientist, you will typically possess: Bachelor's/Master's degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics, Physics, Engineering) or equivalent. Extensive professional experience in data science, with a proven track record of technically leading and successfully delivering complex, impactful, and production-grade data science solutions. A More ❯
other highly valued skills may include: Experience at a large Consulting firm (preferably Analytics consulting) Experience in the financial services industry Degree in a quantitative field (Statistics, Computer Science, Mathematics, etc.) Knowledge of machine learning and AI applications Familiarity with data governance frameworks Understanding of agile methodologies Experience mentoring junior team members Knowledge of programming languages commonly used in analytics More ❯
s objectives. You want to proactively share your skills, knowledge, and energy to achieve shared ambitions. WHAT WE ARE LOOKING FOR Bachelors or Master's degree related to Statistics, Mathematics, Computer Science, Economics etc. Excellent analytical skills with the ability to collect, organise, analyse, and disseminate large sets of information with attention to detail and accuracy Excellent problem-solving skills More ❯
time when designing a solution Design, build, and maintain efficient, reusable, unit tested and reliable code Demonstrate excellent problem solving and teamwork skills Experience: Degree in Computer Science, Physics, Mathematics or a related field At least 2 years of software development experience using C# and .NET Good knowledge of C# .Net and object-oriented programming concepts Ability to think critically More ❯
London, South East, England, United Kingdom Hybrid/Remote Options
IT Graduate Recruitment
fast Get exposure to cloud computing (AWS/Azure), CI/CD pipelines, and AI tools What We’re Looking For A recent STEM graduate (Computer Science, Engineering, Physics, Maths, etc.) from one of the top-ranked universities in the UK or equivalent Strong coding ability in at least one of: Python, C++, C#, Java, or JavaScript Curiosity and problem More ❯
sessions (4-hour windows, 2–3 times per week) to review trading simulations, debug models, and exchange quantitative and technical insights. Requirements Strong academic or professional background in Applied Mathematics, Statistics, Computer Science, Physics, Finance, or Quantitative Trading. Deep understanding of market microstructure, high-frequency trading systems, probability, optimisation, and time-series analysis. Proficiency in one or more programming languages More ❯
and user experience. Requirements Bachelor's or Master's degree from a Top 200 Global University in a technical or scientific subject such as engineering, computer science, physics or mathematics, with a First or 2:1. Strong understanding of macOS and Windows operating systems. Familiarity with Microsoft 365, Google Workspace, or similar productivity tools. Basic knowledge of networking concepts (TCP More ❯
is more than comfortable working to both their own initiative and as a team. You will ideally be educated to at least MSc in a quantitative subject such as Mathematics, Statistics, Computer Science or Physics and any knowledge with sports betting/trading would be beneficial. This is an office-based role and as well as very competitive salaries, our More ❯
is more than comfortable working to both their own initiative and as a team. You will ideally be educated to at least MSc in a quantitative subject such as Mathematics, Statistics, Computer Science or Physics and any knowledge with sports betting/trading would be beneficial.This is an office-based role and as well as very competitive salaries, our client More ❯
predictive analytics, and optimisation techniques Comfortable working with cross-functional teams, including engineers, product leads, and client stakeholders Bachelor’s or Master’s degree in a quantitative field (e.g., Mathematics, Physics, Engineering, Computer Science) from a strong university Excellent communication skills and a collaborative mindset Please note: This role cannot offer VISA sponsorship More ❯
City of London, London, England, United Kingdom Hybrid/Remote Options
How to Job Ltd
to solve unique financial challenges. Commit to continuous learning in financial analytics, tools, and best practices to enhance data analysis capabilities. Qualifications: Bachelor’s degree in Finance, Economics, Statistics, Mathematics, or a related field. Strong foundational knowledge of data analysis, with a keen interest in developing further expertise in the finance sector. Proficiency in Excel is required; familiarity with SQL More ❯
Employment Type: Full-Time
Salary: £35,000 - £40,000 per annum, Negotiable, Inc benefits, OTE
london, south east england, united kingdom Hybrid/Remote Options
Updraft
abilities. Preferred Qualifications: Experience in alternative data usage for credit risk evaluation. Familiarity with Open Banking and fintech lending platforms. Bachelor's or Master's degree in Finance, Statistics, Mathematics, Economics, or a related field. Benefits Pension Plan Paid Time Off Work From Home Training & Development #LI-A More ❯
similar Foundational knowledge of data querying languages such as SQL, Python Familiarity with SharePoint, Power Automate and MS Fabric Tertiary study in a related area (Data Science, Economics or Mathematics) beneficial Advanced MS Office suite skills (ie Word, Excel, Visio, PowerPoint) High level of attention to detail, excellent organisational skills and ability to prioritise Ability to work effectively within an More ❯
match? 5-7+ years of hands-on experience as a Data Scientist, with exposure to productionised models Degree (BSc or MSc) in a quantitative or technical field (Statistics, Mathematics, Physics, Computer Science, Machine Learning) Strong programming skills in Python (production-level) and SQL; confident with modern ML/AI libraries such as scikit-learn, TensorFlow, or PyTorch Familiarity with More ❯
Knowledge of SSRS Knowledge of other coding languages (e.g. Python, R, VBA) Knowledge of QlikSense Knowledge of NHS data dictionary Education Essential Bachelor's Degree in technical field (e.g. maths, computer science) or equivalent experience as an analyst Evidence of continuing professional development Desirable Master's degree, similar qualification in a relevant discipline or equivalent experience Disclosure and Barring Service More ❯
customer lifetime value and key metric models. Continuously improve analytics and model accuracy. Lead and contribute to scalable model deployment in production. Requirements: MSc in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Experience in Consumer/Marketing Analytics Strong proficiency in Python and experience with relevant ML libraries/frameworks. Please note: This role requires 1 day onsite More ❯
London, South East, England, United Kingdom Hybrid/Remote Options
Robert Half
Prefect, or Dagster Support ETL, API integrations, and high-quality data validation Translate business needs into technical solutions with full ownership What You Need STEM degree (Computer Science, Engineering, Maths, etc.) 2+ years in data engineering/analytics/software Strong Python + SQL 2+ years ETL, APIs, CI/CD, Docker, AWS Ideally but not essential experience with Airflow More ❯
the development of analytics models to predict trends and behaviors. Engage in continuous learning to stay abreast of the latest analytics technologies and methodologies. Qualifications: Bachelor's degree in Mathematics, Statistics, Computer Science, or a related field, with a strong academic record. Demonstrated interest in data analysis through coursework, projects, or internships. Proficiency in at least one of the following More ❯
Employment Type: Full-Time
Salary: £35,000 - £40,000 per annum, Negotiable, Inc benefits, OTE
and non-technical stakeholders. Lead the design and deployment of automated AI performance evaluation frameworks. Required Qualifications Master's or Ph.D. in Computer Science, Data Science, AI/ML, Mathematics, or related field . 5+ years of experience in Applied data science. with at least 2+ years focused on Generative AI/LLMs . Strong experience in Databricks data engineering More ❯
City of London, London, United Kingdom Hybrid/Remote Options
Kinetech Recruitment
Experience working with APIs and tools like Postman for integration testing and troubleshooting. Excellent problem-solving , analytical , and communication skills. Desirable Certifications Bachelors degree in Data Science, Computer Science, Mathematics , or a related field. Microsoft Certified Azure Data Engineer Associate or Azure Database Administrator Associate . Snowflake Certified Data Engineer or equivalent certification in modern cloud data warehousing . Professional More ❯
strategies and operations. Collaborate with product and other teams to promote the achievement of business goals. What you'll Need to Succeed Bachelor's or Master's degree in Mathematics, Statistics, Econometrics, Computer Science, or a related field. 1-3 years of data analysis experience with proficiency in SQL and at least one scripting language (e.g., Python). Strong sensitivity More ❯
London, South East, England, United Kingdom Hybrid/Remote Options
Step 2 Recruitment LTD
development activities including involvement in new client pitches What we're looking for Strong academic background with a minimum bachelor’s or master’s degree in a STEM subject (Mathematics, Computer Science or Engineering) Experience working in a data science or consulting role In-depth experience of working with Python and Pandas An entrepreneurial spirit and drive to work in More ❯
new data sources and discover techniques for best leveraging data Minimum Qualifications A Master's or PhD in a field related to AI/ML, such as: Computer Science, Mathematics, Statistics, Physics, Linguistics, Mechanical Engineering, or related disciplines Strong background applying Deep Learning techniques (including implementing custom architectures, optimizing model performance, developing novel loss functions, metrics, and benchmarks, and deploying More ❯
with engineers to ensure research translates into robust trading systems. Iteratively improve models through experimentation, analysis, and deployment feedback. Requirements Background and experience required Degree in Engineering, Physics, Applied Mathematics, Computer Science, or a related quantitative field. 1–5 years of experience in quantitative research, applied machine learning, or data science (finance experience is a plus, but not required). More ❯
office on trade/position breaks and other requirements. Job requirements - Data Analyst For this Trading Analyst job, we are looking for: A numerate degree from university, ideally in Mathematics, Economics, or similar. A quantitative, data-driven, detail-oriented approach to solving complex problems. Commercial experience within professional services, in a data-focused role and ideally with client-facing responsibilities More ❯