101 to 125 of 709 Statistics Jobs in London

oriented approach. A collaborative and supportive attitude towards colleagues across the organization. Required Skills & Experience: A strong academic background, ideally with a BSc or MSc in Engineering, Mathematics/Statistics, Computer Science, or a related field. Proven experience in developing and maintaining data infrastructures. Proficiency in SQL and Python for data manipulation, automation, and analysis. Experience with Business Intelligence (BI More ❯

oriented approach. A collaborative and supportive attitude towards colleagues across the organization. Required Skills & Experience: A strong academic background, ideally with a BSc or MSc in Engineering, Mathematics/Statistics, Computer Science, or a related field. Proven experience in developing and maintaining data infrastructures. Proficiency in SQL and Python for data manipulation, automation, and analysis. Experience with Business Intelligence (BI More ❯

with finance, marketing, and product management as a leader of ongoing analytical support. Basic Qualifications Bachelor's degree or higher in a quantitative/technical field (e.g., Computer Science, Statistics, Engineering). 2+ years of hands-on experience writing SQL queries. Experience with building and maintaining basic data artifacts (e.g., ETL, data models, queries). Experience with AWS services including More ❯

annotation challenges. Stay updated with industry trends in data annotation, finance, and news. Participate actively in project and product coordination when needed. Qualifications: Bachelor's degree or higher in Statistics, Data Analytics, Data Science, or related STEM fields. At least four years of experience in data management concepts like data quality, sampling, and modeling. Experience with data visualization tools like More ❯

questions, supporting enablement activities, etc. Build strong understanding of data infrastructure, including input systems and engineering pipelines, to debug user issues Required Qualifications: A degree in a quantitative discipline: statistics, operations research, computer science, informatics, engineering, applied mathematics, economics, etc. At least 8+ years of experience in an analytics or data-oriented role Prior experience supporting at the executive level More ❯

language; experience in software development, including a clear understanding of data structures, algorithms, software design and core programming concepts Expertise in an aspect of quantitative analysis, e.g. mathematics, physics, statistics, stochastic calculus, scientific computing, econometrics, machine learning algorithms, financial modeling. Experience with financial markets and assets; preference for vanilla interest rate derivative pricing, bond and deposit pricing, curve construction, hedging More ❯

language; experience in software development, including a clear understanding of data structures, algorithms, software design and core programming concepts Expertise in an aspect of quantitative analysis, e.g. mathematics, physics, statistics, stochastic calculus, scientific computing, econometrics, machine learning algorithms, financial modeling. Experience with financial markets and assets; preference for vanilla interest rate derivative pricing, bond and deposit pricing, curve construction, hedging More ❯

to optimise risk-adjusted returns. Stakeholder Collaboration : Working with internal teams, including operations, product, finance, and compliance, to align risk management objectives with business goals. A degree in Finance, Statistics, Economics, Mathematics, or a related field. Proficient in SQL. Experience with credit scoring systems, credit policy and methodologies in the German market (consumer or SME) Strong understanding of credit risk More ❯

to optimise risk-adjusted returns. Stakeholder Collaboration : Working with internal teams, including operations, product, finance, and compliance, to align risk management objectives with business goals. A degree in Finance, Statistics, Economics, Mathematics, or a related field. Proficient in SQL. Experience in Credit Risk Strong understanding of credit risk metrics (PD, LGD, EAD) and financial modelling. Experience with data visualization tools More ❯

using tools such as Alteryx • Experience with using multi-dimensional data modeling/data warehousing for data analytics and reporting PREFERRED QUALIFICATIONS • Graduate or Undergraduate degree in Computer Science, Statistics, Math, or Engineering • Experience in financial services, operations fields • Experience in gathering and documenting requirements with full testing traceability • Experience in Snowflake, Databricks, Legend Studio platforms • Data governance and modelling More ❯

to have: Practical experience with Natural Language Processing or Information Retrieval problems A Ph.D. in NLP ,IR, ML, or a relevant field or an MSc in CS, ML, Math, Statistics, Engineering with prior industry experience. We are happy to consider candidates with a Ph.D and industry experience through internships Experience with deep learning frameworks such as PyTorch Proficiency in software More ❯

Pitch in on ad-hoc analytics projects—anything from volatility clustering studies to optimisation of storage dispatch—whenever the desk needs statistical horsepower. REQUIREMENTS: Minimum of a degree in Statistics, Applied Maths, Physics or related field. Minimum of 2 years working in a Data Science related role Proven depth in probability & inference (e.g., Bayesian updating, time-series/state-space More ❯

Pitch in on ad-hoc analytics projects—anything from volatility clustering studies to optimisation of storage dispatch—whenever the desk needs statistical horsepower. REQUIREMENTS: Minimum of a degree in Statistics, Applied Maths, Physics or related field. Minimum of 2 years working in a Data Science related role Proven depth in probability & inference (e.g., Bayesian updating, time-series/state-space More ❯

and emerging technologies in data analysis and product analytics. Continuously improve data collection processes and tools. Bachelor's or Master's degree in a related field (e.g., Data Science, Statistics, Business Analytics). 7+ years of experience with at least 3+ years of experience as a Product Analyst, or similar role in a 2-sided marketplace or e-commerce environment. More ❯

of machine learning concepts including developing models and tuning the hyper-parameters, as well as deploying models and building ML service - Technical expertise, experience in Data science, ML and Statistics Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring More ❯

best-practice use of the analytical toolkit What we're looking for Degree (2:1 or above) or Master's in a quantitative and/or business discipline preferred (Statistics, Computer Science, Data Science, Engineering, Mathematics, Physics, Economics etc.) 0-2 yrs experience in applying data analytics to solve commercial problems Fluency in tools including Alteryx, Tableau (awareness of other More ❯

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 are key. Even though More ❯

with machine learning engineers, BI, and solutions architects to develop technical architectures for F&N enterprise projects and initiatives. Learn about machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics. What can you expect from Mars? Work with diverse and talented Associates, all guided by the Five Principles. Join a purpose driven company, where we More ❯

data sets and data cleansing Qualifications: Good standard of higher education or relevant professional qualification (e.g., NVQ, CII).Strong analytical/mathematics skills, ideally with a degree in Actuarial, Statistics, Mathematics, Data Science or Computer Science). Any Chartered Insurance Institute qualification is a plus. Experience working in dynamic or growing teams would be advantageous. What's it like to More ❯

Learning or ML Engineering role, with hands-on experience in deep learning frameworks (e.g., TensorFlow, PyTorch). Motivated recent graduates are encouraged to apply! A degree in Mathematics, Engineering, Statistics, Computer Science, Physics, or a related field. An advanced degree is highly preferred. Proficient in Python and PySpark; experience with SQL or similar querying languages. Solid foundation in machine learning 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 More ❯

/ML in general. Knowledge-share and support the wider team and Data Science community todriveinnovationsbased onyour work Essential qualifications: Bachelor's ormaster's degree inDataScience, Computer Science, Engineering, Statistics, or a related quantitative field Hands-on experience inoptimisation algorithms(or a relateddisplicine).Pleasenote: -Wihlstwe'd consider candidates with relevant academic background, we'd prefer those with hands-on, commercial More ❯

of regression modelling, Bayesian inference, hierarchical models, and MCMC techniques. Proven ability to handle and analyse large, complex datasets using SQL and/or Spark. Solid knowledge of applied statistics, modelling techniques, and the mathematical underpinnings of inference and simulation. Familiarity with cloud platforms (Azure preferred) and modern data science toolkits. Advanced degree (MSc or PhD) in Statistics, Data Science More ❯

prediction algorithms Collaborate with the engineering team to bring analytical prototypes to production Generate actionable insights for business improvements Qualifications Bachelor's degree or equivalent experience in quantitative field (Statistics, Mathematics, Computer Science, Engineering, etc.) At least 1 - 2 years of experience in quantitative analytics or data modelling Deep understanding of predictive modelling, machine-learning, clustering and classification techniques, and More ❯

GenAI-powered summarization and writing assistants, content and people recommendation systems, scalable experimentation products and measuring organizational north star metrics. BASIC QUALIFICATIONS - Master's degree in computer science, mathematics, statistics, machine learning or equivalent quantitative field - Experience programming in Java, C++, Python or related language - Experience with SQL and an RDBMS (e.g., Oracle) or Data Warehouse PREFERRED QUALIFICATIONS - Experience implementing … algorithms using both toolkits and self-developed code - Have publications at top-tier peer-reviewed conferences or journals - PhD in computer science, mathematics, statistics, machine learning or equivalent quantitative field Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver More ❯