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 ❯
across the business, with a focus on end-to-end machine learning solutions. Experience - Lead Data Scientist You will have: An M.Sc. or Ph.D. in: Machine Learning, Statistics, Applied Mathematics, Computer Science, Engineering, etc. Experience using Python is a must Knowledge of cloud technologies important (agnostic) A strong knowledge of statistical/machine learning models applied to real-world problems More ❯
Data Scientist and the successful candidate must have the right to work in the UK and meet the following criteria: Required Skills & Experience: Bachelor's degree in Computer Science, Mathematics, Statistics, Business Administration or related field Advanced knowledge of SQL Good knowledge of Python, including popular Data Science packages (pandas, matplotlib, seaborn, numpy, sklearn) Familiarity with what is happening under More ❯
Analytics activities. Create and maintain comprehensive documentation for data models, calculation methodologies, and dashboard functionality to ensure knowledge transfer and sustainability. Knowledge, Skills, Experience & Qualifications Essential Undergraduate degree in Mathematics, Computer Science, Information Systems, Analytics, Statistics, or related quantitative field, or equivalent professional experience. 3-5 years of progressive experience in data analytics, preferably in HR analytics, workforce planning, or More ❯
aws services (ec2, elb, rds, route53 & s3) - Experience with software development life cycle (sdlc) and agile/iterative methodologies - Master's degree in a quantitative field such as statistics, mathematics, data science, engineering, or computer science - Experience communicating across technical and non-technical audiences - Experience in using Python and hands on experience building models with deep learning frameworks like Tensorflow More ❯
in additional languages. Education: Possess a BSc, MSc, or equivalent degree in one of the following disciplines or related fields: Earth/climate sciences (geology, geophysics, seismology, meteorology, etc.) Mathematics, statistics, physics, engineering, data science Risk management/insurance, actuarial science Responsibilities Moody's is seeking a dynamic and innovative Associate Director to join our Insurance Solutions operating unit as More ❯
entire duration of the program Ability to travel to clients and FTI Consulting office(s) Preferred Qualifications Preferred major(s): Business Administration, Management, Finance, Engineering, Computer Science, Data Analytics, Mathematics, Statistics, or a related field Excellent analytical and problem-solving skills A logical and lateral thinker, who is intellectually curious, highly organized, and structured Exceptional communication and interpersonal skills, with More ❯
typical Back Office Architecture and Modelling in the Sports Betting Industry. Experience using DevOps tools such as Azure DevOps/Jira. Experience with concurrent development source control (GIT). Mathematics skills such as dealing with matrices, probabilities, and statistics. Experience generating reports, dashboards and data visualisations to explain the results and behaviour of models and analyses. Familiarity with SQL and More ❯
ability to liaise between IT and trading desks Production stability mindset and ability to work with infrastructure and support teams Qualifications Bachelor's degree (or equivalent) in Computer Science, Mathematics, Physics, or Engineering Postgraduate qualifications in advanced computing or statistical disciplines are desirable Competencies & Values Ability to quickly learn and apply new technologies Proactive in contributing ideas and innovations to More ❯
rigorous mathematical problem-solving skills, and experience in P&L and risk systems or in another Front Office development capacity. Specifically, you should have: A bachelor's degree in mathematics, physics, computer science, engineering, finance, or a related field Proven leadership experience as a UI Technical Lead or similar role, with a strong track record of UI team building and More ❯
use the data we have available Proven ability to work in a fast-paced environment and manage multiple priorities Bachelor's degree in a relevant field e.g. Computer Science, Mathematics, Statistics, etc. Charlotte Tilbury is a fast-paced and dynamic environment where nimble mindsets, striving to deliver the best and wanting to be part of a global dreamteam are key. More ❯
ensure data quality and operational performance. Qualifications Bachelor's degree in Data Science, Computer Science, or a related field. Doctorate in a quantitative field such as Statistics, Computer Science, Mathematics, or Engineering. A "full stack" data scientist - with extensive expertise of data engineering, analysis and analytics, as well as machine learning. 6+ years of experience working in Data Science, preferably More ❯
strategy and driving projects from ideation to deployment, increasing your pain threshold to deliver real value What We Value Strong engineering background, preferred in fields such as Computer Science, Mathematics, Software Engineering, Physics, and Data Science. A highly analytical mindset and eagerness to solve technical problems with data structures, storage systems, cloud infrastructure, front-end frameworks, and other technical tools. More ❯
map common processes and establish playbooks for them Help decide on tooling used during the Data Science project lifecycle Qualifications Education: Bachelor's or Master's degree in Statistics, Mathematics, Actuarial Science, Data Science or related field Experience: At least 5 years proven experience in insurance pricing and applied ML, including leading projects and people, with a particular focus on More ❯
common processes and establish playbooks for them Help decide on tooling used during the Data Science project lifecycle Required Skills Education: Bachelor's or Master's degree in Statistics, Mathematics, Actuarial Science, Data Science or related field Experience: At least 5 years proven experience in insurance pricing and applied ML, including leading projects and people, with a particular focus on More ❯
batch data pipelines using Kafka and DBT. Familiarity with Docker, Terraform, and Kubernetes for application orchestration and deployment. A strong numerical or technical background, ideally with a degree in mathematics, physics, computer science, engineering, or a related field. Understanding of data science concepts and experience collaborating with data scientists to productionise machine learning models. Active participation in tech or open More ❯
models Experience building tools and technologies within systematic or discretionary investing units Personal Attributes Strong academic record and a degree with high mathematical and computing content e.g. Computer Science, Mathematics, Engineering or Physics from a leading university Craftsman-like approach to building software; takes pride in engineering excellence and instils these values in others Demonstrable passion for technology e.g. personal 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 but not essential. This is an office-based role and as well as very More ❯
of experience in a quant/ML engineering or research role within a financial institution, hedge fund, or tech firm Advanced degree (PhD or Master's) in Computer Science, Mathematics, Physics, Engineering, or related discipline Strong expertise in modern ML techniques: time-series forecasting, deep learning, ensemble methods, NLP, or RL Expert-level programming skills in Python and strong understanding More ❯
of experience in a quant/ML engineering or research role within a financial institution, hedge fund, or tech firm Advanced degree (PhD or Master's) in Computer Science, Mathematics, Physics, Engineering, or related discipline Strong expertise in modern ML techniques: time-series forecasting, deep learning, ensemble methods, NLP, or RL Expert-level programming skills in Python and strong understanding More ❯
propose solutions. People who can collaborate with others, using their communication skills in the process. We are considering candidates beyond the core software degrees (e.g. computer science, software engineering, Mathematics and Informatics) and candidate with physics, engineering, electronic degree who can demonstrate an interest in Technology as evidenced by extracurriculars or work experience, or personal projects can apply.At LSEG, we More ❯
rigorous mathematical problem-solving skills, and experience in P&L and risk systems or in another Front Office development capacity. Specifically, you should have: A bachelor's degree in mathematics, physics, computer science, engineering, finance, or a related field Proven leadership experience as a UI Technical Lead or similar role, with a strong track record of UI team building and More ❯
to adapt to change and work comfortably in a fast-paced environment, this person will have some or all of these skills: Degree level education in a computer science, maths or related numerate subject, OR equivalent practical experience, Strong experience with PHP and Symfony framework (or similar application framework), Proficiency in working with databases (MySQL, PostgreSQL, and non-SQL databases More ❯
to best practice in code review, experimentation and shaping our ways of working as you grow What you'll bring Education: Bachelor's or Master's degree in Statistics, Mathematics, Actuarial Science, Data Science or related field Experience: At least 3 years proven experience as a Data Scientist Technical Skills: Python Proficiency: Strong Python programming skills, with experience in training More ❯
