turn this into great insight that is ultimately actionable and leads to valuable outcomes for the business. What are we looking for? Degree or equivalent in Data Science, Mathematics, Statistics, or other numerate discipline. Nice to have - Master's/PhD with computing, scientific, statistical, or mathematical component. 10+ years' experience working as a Data Scientist. 5+ years varied technical More ❯
turn this into great insight that is ultimately actionable and leads to valuable outcomes for the business. What are we looking for? Degree or equivalent in Data Science, Mathematics, Statistics, or other numerate discipline. Nice to have - Master's/PhD with computing, scientific, statistical, or mathematical component. 10+ years' experience working as a Data Scientist. 5+ years varied technical More ❯
turn this into great insight that is ultimately actionable and leads to valuable outcomes for the business. What are we looking for? Degree or equivalent in Data Science, Mathematics, Statistics, or other numerate discipline. Nice to have Master's/PhD with computing, scientific, statistical, or mathematical component. 10+ years experience working as a Data Scientist. 5+ years varied technical More ❯
turn this into great insight that is ultimately actionable and leads to valuable outcomes for the business. What are we looking for? Degree or equivalent in Data Science, Mathematics, Statistics, or other numerate discipline. Nice to have Master's/PhD with computing, scientific, statistical, or mathematical component. 10+ years experience working as a Data Scientist. 5+ years varied technical More ❯
south west london, south east england, united kingdom
Mars
turn this into great insight that is ultimately actionable and leads to valuable outcomes for the business. What are we looking for? Degree or equivalent in Data Science, Mathematics, Statistics, or other numerate discipline. Nice to have Master's/PhD with computing, scientific, statistical, or mathematical component. 10+ years experience working as a Data Scientist. 5+ years varied technical More ❯
excellence and experimentation, and invest in the long-term growth and development of your team. You Have: Master's degree in a quantitative or computational discipline such as Mathematics, Statistics, Computer Science, or Engineering. 10+ years of experience in Analytics, Data Science, or a related field, with a demonstrated ability to drive strategic insights and measurable business outcomes at scale. More ❯
London, South East, England, United Kingdom Hybrid / WFH Options
QBE Management Services (UK) Limited
solving skills are critical. Presentation skills for explaining complex analytics solutions to diverse audiences. Qualifications: Necessary Qualifications include: Bachelor’s degree in a quantitative field (e.g., Computer Science, Engineering, Statistics, Mathematics) or equivalent combination of education and relevant work experience. Master’s degree preferred. Why QBE? At My Best? At QBE, we want our people to feel rewarded and inspired More ❯
of AI concepts, including supervised and unsupervised learning. Knowledge of cloud computing platforms (e.g., AWS, GCP, Azure) Education and Knowledge Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related quantitative field Profile and Skills Comfortable in fast-paced, entrepreneurial environment Strong communication and teamwork abilities. Ability to deliver individually and as well as a part More ❯
up with first-class solutions • Demonstrated ability to own and lead projects that deliver real business value Preferred Qualifications: • MS/PhD in applied mathematics, physics, computer science, engineering, statistics, bioinformatics, actuarial science or similar numerical degree • Experience and understanding of US healthcare system, billing of medical claims and associated data environments • Experience creating Machine learning solutions to solve complex More ❯
Implement advanced tools and frameworks to enhance analytics capabilities while promoting best practices in data governance and security. Skills & Experience Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Mathematics, Economics, or a related field. 5+ years in data analytics, data science, or related roles Proven track record of managing technical teams and delivering impactful data-driven More ❯
set and continuously seek to learn and improve. Ideally, you bring strong programming skills and can rapidly learn new programming languages. You may come from a background in mathematics, statistics, analytics, computer science, engineering, or a related field, but we don't expect everyone to fit a single profile. We value diversity of thought and experience and offer development support More ❯
bias detection, and algorithmic fairness in models. Collaborate with stakeholders to translate business challenges into data-driven solutions. Requirements: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Strong Python skills (bonus: C++, SQL, Spark) Experience in ML algorithms (XGBoost, clustering, regression) Expertise in Time Series, NLP, Computer Vision, MLOps Knowledge of AWS/Azure More ❯
bias detection, and algorithmic fairness in models. Collaborate with stakeholders to translate business challenges into data-driven solutions. Requirements: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Strong Python skills (bonus: C++, SQL, Spark) Experience in ML algorithms (XGBoost, clustering, regression) Expertise in Time Series, NLP, Computer Vision, MLOps Knowledge of AWS/Azure More ❯
London, South East, England, United Kingdom Hybrid / WFH Options
Salt Search
Curious, collaborative, and proactive in driving change Qualifications 7+ years in data science or analytics with a strong focus on customer behavior MSc or PhD in a quantitative field (Statistics, Data Science, Computer Science, Applied Math) Proven track record of creating measurable business value through customer-focused models and analytics Experience working in B2C, e-commerce, subscription, retail, or fintech More ❯
Basingstoke, Hampshire, United Kingdom Hybrid / WFH Options
Hawk-Eye Innovations (HEI)
processes and methodologies, sharing knowledge and expertise with team members to foster a culture of learning and collaboration. What We're Looking For Bachelor's degree or equivalent in Statistics, Data Science, Physical Sciences, Biomechanics, Computer Science, Mathematics, or a similar related field. Knowledge of sports rules, strategies, and basic statistical concepts. Proficiency in programming languages such as Python (Preferred More ❯
and be capable of working both independently and with others as a team. Key job responsibilities We are looking for an experienced data scientist with strong foundations in mathematics, statistics & machine learning with exceptional communication and leadership skills, and a proven track record of delivery. In this role, You will Define a long-term science vision and roadmap for the More ❯
environments Collaborate with team members and stakeholders to build data science products that enable others to make business decisions Qualifications Postgraduate degree in a relevant discipline (e.g. STEM, Maths, Statistics, Physics) or equivalent experience Good data modelling, software engineering knowledge, and strong knowledge of statistical, mathematical and ML modelling are a must at this stage. Skilful in writing well-engineered More ❯
of business intelligence, data analytics, and data visualization to drive continuous improvement and innovation. What You'll Bring • Education: Bachelor's degree in Business Analytics, Computer Science, Data Science, Statistics, or a related field (Desired). • Experience: Minimum of 3 years of experience in business intelligence, data analytics, or a similar role. Experience working with large datasets and using BI More ❯
and social media messaging. Create proof of concepts, product demos, respond to RFIs/RFPs, and prepare sales proposals. What We're Seeking MSc in computer science, engineering, physics, statistics, mathematics, operations research, or natural sciences, with hands-on data science experience including AI/Gen AI and machine learning. Experience analyzing large data sets, data cleaning, and statistical analysis. More ❯
Curious, collaborative, and proactive in driving change Qualifications 7+ years in data science or analytics with a strong focus on customer behavior MSc or PhD in a quantitative field (Statistics, Data Science, Computer Science, Applied Math) Proven track record of creating measurable business value through customer-focused models and analytics Experience working in B2C, e-commerce, subscription, retail, or fintech More ❯
including formulas, pivot tables, and data visualization. Python coding experience for data manipulation, automation and front- end development. Knowledge of SQL for querying databases and extracting insights. Understanding of statistics and analytical concepts, such as correlation, T-tests, and multi-variable regression. Ability to work collaboratively across departments and manage multiple tasks. Strong problem-solving and critical-thinking skills. Excellent More ❯
Tableau, Power BI, or similar for creating insightful dashboards. o Machine Learning: Familiarity with machine learning concepts and their application in fraud detection. o Statistical Analysis: Strong foundation in statistics, including experience with hypothesis testing, regression analysis, and probability theory. • Fraud and Risk Management Expertise: o In-depth understanding of card fraud typologies and techniques, including phishing, card-not-present More ❯
Expertise in using data visualization tools such as Google Looker and working with Google's BigQuery. Experience in design and evaluation of A/B tests. Familiarity with Bayesian statistics, especially for hypothesis testing. Extra points for good knowledge of Bayesian programming (PyMC3, etc). Experience with application of optimization theory or reinforcement learning based on automated A/B More ❯
explore new techniques and technologies. Skills: Minimum 2:1 degree in a STEM subject; MSc or other postgraduate qualification in a quantitative discipline is preferred. Strong working knowledge of statistics, including experiment design, uncertainty quantification, and predictive modelling. Experience with a range of ML techniques (supervised and unsupervised). Strong understanding of profit and loss levers, and their interplay with More ❯
and test planning Excellent communication skills - capable of clearly translating technical issues into business context and vice versa. What will set you apart? Bachelor's degree in Finance, Economics, Statistics, Computer Science, or related discipline. CFA Certification or progress toward completion. Familiarity with third-party credit platforms (e.g., Bloomberg, FactSet, MSCI). Experience with data visualization tools (e.g., Tableau, Power More ❯