76 to 100 of 410 Statistics Jobs in the UK

problem-solving skills; Excellent communication and presentation skills, in particular to senior stakeholders; Financial knowledge of Delta 1 and Equity Derivatives products; Understanding of statistics and financial mathematics. more »

industry trends and emerging technologies, offering recommendations for ongoing enhancement and innovation. Requirements: Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field. Demonstrated leadership experience (8-10+ years) within a data-focused organisation, preferably in a technology-driven setting. A track record more »

complex findings to technical and non-technical audiences through compelling presentations. You are a perfect fit if you have: 🎓 A degree in Data Science, Statistics, Computer Science, Physics, Mathematics, or a related field (or equivalent experience). 💻 Strong programming skills in Python (NumPy, Pandas), SQL, and Excel. 🧩 Excellent analytical and more »

desirable). They will also have experience working with SQL databases. Ideal candidates will have: Bachelors or Master’s degree in Computer Science, Mathematics, Statistics or related field 2 - 8 years of experience in software development within a hedge fund, investment bank or other financial institution Strong programming skills in more »

the hands on aspect in conjunction with the long term management of the function. - Hold a relevant degree in one of Data & Analytics, Mathematics, Statistics, Computer Science or BI - Have detailed experience and knowledge in the creation, development, and maintenance of data repositories, data warehouses, data lakes, cloud platforms (ideally more »

metrics, reports, analyses, and dashboards that monitor and to drive key business decisions. Basic qualifications Bachelors degree in a quantitative area such as math, statistics, computer science, engineering or equivalent experience Experience in analytics, data engineering, market research or related field Experience managing and hiring a team of business intelligence more »

to deploy and improve the products. Participate in on-call rotation. Qualifications Bachelor’s degree or equivalent in an analytical related field such as Statistics or Computer Science or at least 2+ years equivalent professional experience. Experience with SQL (2+ years) Proficiency with Python (2+ years) Ability to work with more »

subject matter expertise in valuable areas for the business. Requirements: degree in STEM field or equivalent. Advanced degree preferred but not required. knowledge of statistics, machine learning, forecasting, NLP, computer vision, optimisation. Python programmer with experience building data pipelines and statistical/machine learning models. Additional languages preferred, particularly HTML+CSS+JavaScript more »

working autonomously to drive impact in a fast-paced cross-functional business. PhD or MSc or equivalent a numerate subject: Machine Learning, Computer Science, Statistics, or similar Demonstrable experience of applying, researching, and developing sophisticated statistical/ML methods to drive value in a commercial setting, Able to work independently more »

and mentor more junior team members. Calm and empathetic approach to working with others. Desirable Bachelor’s degree in Mathematics, Computer Science, Computer Engineering, Statistics, or relevant field DP-100, DP-203, DA-100, AZ305 Machine Learning and statistical modelling experience Comprehensive knowledge of the Visual Studio development/SQL more »

experience as a data analyst Knowledge and experience with reporting packages (Business objects, tableau, power BI), databases (SQL etc), programming (XML, Javascript) Knowledge of statistics and experience in using statistical packages for analysing datasets (Excel, SPSS,SAS etc) Strong analytical skills with the ability to collect, organise, analyse and disseminate more »

a client-facing role YOUR SKILLS AND EXPERIENCE A successful candidate will have the following: Minimum of MSc in a STEM subject e.g. Mathematics, Statistics or Computer Science Consultancy or client-facing experience Experience across Data Strategy would be a large benefit but not required HOW TO APPLY Please register more »

and marketing teams (using internal systems, SFDC, Tableau, Excel) Requirements Bachelor's degree in an analytical field (e.g. Computer Science, Engineering, Mathematics, Finance or Statistics) 4+ years experience in data analytics within a sales operations or finance team, or in management consulting with significant experience in sales analytics Experience analysing more »

IT service management software (ITSM), PaaS, and SaaS. To excel in this role, you should have: A Bachelor’s degree in Engineering, Computer Science, Statistics, Mathematics, a related quantitative field, or equivalent practical experience. more »

learn to push the boundaries of AI. We're Looking For: Proven experience building and deploying models (FinTech/healthcare preferred), strong grasp of statistics, ML techniques, and cloud platforms (AWS, Azure, GCP), and containerisation expertise (Docker, Kubernetes). Experience in agile environments (OKRs), excellent communication and collaboration skills, passion more »

in order to improve game experience and help the studio achieve their goals. We are looking for: Bachelor's degree in Computer Science, Mathematics, Statistics (or other relevant field) Proficient in SQL and Python, or similar languages Skilled in data modeling with a strong grasp of statistical and visualisation techniques more »

in Scrum/Agile development environments. Familiarity with IT service management software (ITSM), PaaS, and SaaS. A Bachelor's degree in Engineering, Computer Science, Statistics, Mathematics, a related quantitative field, or equivalent practical experience. Due to the volume of applications received for positions, it will not be possible to respond more »

Actively seek trends in client data to assist in migrations. Qualifications and Skills: * Bachelor's degree in a relevant field such as Computer Science, Statistics, Mathematics, or a related discipline is desirable. * Strong analytical and problem-solving skills. * A good understanding of core IT principles. * Strong Excel knowledge and hands more »

Business Intelligence role involving reporting, data warehousing and visualization Very strong in SQL Highly developed analytical skills with a good background in maths and statistics Excellent stakeholder engagement skills with experience managing client relationships and helping mentor junior analysts Pythonand Tableau experience would be highly advantageous The role As a more »

to reveal insights that influence our understanding of consumer behaviour. This crucial responsibility revolves around crafting narratives from diverse data sources, producing top-notch statistics, and creating data visualisations that captivate. Key Responsibilities: Design and deliver data analyses that contribute to business plan aspirations. Determine the most suitable analytical approach more »

to understanding the data and analytics across the differing asset classes Ideal candidates will have: · Bachelors or Master’s degree in Computer Science, Mathematics, Statistics or related field · 2- 5 years of experience in software development within a hedge fund, investment bank or other financial institution · Strong programming skills in more »

research to keep the team updated with the latest quantitative techniques and theories. Requirements: Preferably a Ph.D. in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, or Computational Finance. Evidence of exemplary accomplishments either in academia or industry A minimum of 3 years of experience in quantitative research more »

of innovation, striving for excellence and setting new benchmarks in systematic fixed income trading. Essential Qualifications: Masters or PhD Degree in mathematical computer science, statistics, quant finance, machine learning, or a related field Solid grounding in financial mathematics, quantitative modeling, and programming languages (Python, C++). Exceptional analytical and problem more »

Contribute to training initiatives to foster a data-driven culture Qualifications & Experience Required PhD in Computational Biology/Computer Science/Machine Learning/Statistics with relevant experience in transcriptomics analysis. Experience with experimental design, exploratory data analysis, reporting and visualisation of data. Experience with single cell transcriptomics analysis including more »

markets Experience or strong interest in crypto markets Advanced degree (PhD or MSc) from a top-tier university in a quantitative field, such as Statistics, Operations Research, Computer Science, Mathematics, or Physics Strong experience developing statistical models in a trading environment Deep understanding of optimization theory Excellent programming skills in more »