51 to 75 of 433 Statistics Jobs in the UK

travel within the UK regularly. Desired Skills: Privacy technologies expertise (homomorphic encryption, SMPC, Federated Learning, TEE). Data Science experience (data analysis, data management, statistics, and machine learning). Familiarity with relevant data protection regulations and compliance standards in government sectors. Strong knowledge of SQL and database systems. If you more »

methodologies and processes. Come from a statistical/mathematical background and hold a Bachelor's degree or higher in a relevant field (e.g., Mathematics, Statistics, Computer Science). It would be great if you also: Previously worked in an actuarial team specifically engineering data solutions for pricing Have previously implementing more »

emerging machine learning methodologies. Educate the organization on Generative AI from both IT and business perspectives. Qualifications: A higher degree (PhD preferred) in Engineering, Statistics, Data Science, Applied Mathematics, Computer Science, Physics, Bioinformatics or related quantitative field. Hands-on experience with LLMs fine-tuning and/or training. Hands-on more »

Strategy Implementation Working directly with traders implementing algorithmic solutions providing direct feedback into strategy designs Qualifications : Ph.D. or Master's degree in Mathematics/Statistics/Economics/Business from a reputed institution. (Preferably Top 10 Global) Demonstrated experience of >3 years working within a hedge fund/Prop Shop more »

XML/PDFs, Analysis Results Metadata (ARM), aCRFs and Reviewers Guides to support SDTMs and ADaMs You Will Have BSc in life sciences, mathematics, statistics or related field. Extended #SAS programming experience developed in clinical trials (#CDISC) Strong #oncology experience Submission experience including #ISS and #ISE analyses strongly desired. Excellent more »

in applying tools from finance, mathematics, and data science to provide pragmatic and robust solutions to real-world problems. Strong knowledge of mathematics and statistics as applied to finance and credit risk. Hands on experience in credit risk modelling or the valuation of financial products. A master’s degree in … Finance, Economics, Mathematics, Statistics, Engineering or Computer Science from a reputable university. Desirable previous credit risk modelling experience or the building and/or validating credit risk models obtained from within a bank or a credit ratings agency. Some programming skills in a high-level language (e.g., Python, R, MATLAB more »

Support the ongoing development of the Studio’s data governance, BI tools and technologies Required skills & experience: Bachelor’s degree in Computer Science, Mathematics, Statistics or other relevant field Good knowledge of data querying and extraction abilities through SQL and Python or other similar languages Confident data modeller with a more »

as well as technical knowledge of relational databases and data modelling. Power Bi skills are essential, but additional technical skills such as SQL, Python, Statistics or Machine Learning would be very useful. Additional Requirements: Candidates must have an existing right to live and work in the UK. If this sounds more »

Skills Strongly skilled in Python Experience programming in C is a plus Bachelor, Master’s, or PhD degree in Computer Science, Engineering, Applied Mathematics, Statistics or related STEM field Excellent communication, analytical, and problem-solving skills Preferred Experience 2-4 years of experience working in a quantitative research capacity with more »

experience in high level motorsport. Motion cueing algorithms. Motion perception models. Real-time systems and HIL simulators (e.g., DSpace) Understanding of numerical methods, optimisation, statistics and control theory. Simulator operations and systems (LiDAR data processing, graphics, projection hardware & software) Modelling experience of mechanical/hydraulic/thermal/electrical systems more »

Stay updated on industry developments and best practices in data analysis, suggesting improvements as necessary. Requirements: Hold a Bachelor's degree in Data Science, Statistics, Mathematics, or a related field. Demonstrate solid experience as a Data Analyst or in a similar capacity Possess a profound comprehension of database structures, data … commentary to guide decision-makers in acting on discoveries Skills and Experience Needed: Bachelor's degree or equivalent in a quantitative field (e.g., mathematics, statistics, data science, business intelligence). Proficient in SQL, DAX, and advanced Excel. Skilled in visualization tools such as Cognos, SSRS, Power BI, or Business Objects. more »

software engineering best practice and disaster prevention (rather than recovery). Maintain and optimise the infrastructure across the company. Requirements An academic background in Statistics, Mathematics, or Computer Science (or similar) A number of years of commercial working as a Senior Data Engineer (responsible for taking decisions, rather than just more »

models and SABR. Experience/knowledge of Risk Models such as Value-at-Risk (VaR) and Stress methodologies. Strong mathematical background covering stochastic calculus, statistics, matrix algebra, optimisation methods and interpolation techniques. Object-oriented programming skills. Preferably Python and or C#, although skills in other languages such as C++, Java more »

equity markets Continuous improvement of trading models and modelling techniques Qualifications: 3+ years quantitative hedge fund or proprietary trading experience Msc or PHD in statistics, mathematics, computer science or other technical discipline Demonstrated proficiency in Python For more information on this role please share your CV or reach out to more »

tools and models. Requirements: 2-3 years of experience as an economist, preferably in a top-tier financial institution or related field. Proficiency in statistics with the ability to apply statistical methods to diverse datasets. Strong coding skills and an interest in exploring new technologies. Collaborative mindset with an openness more »

mentoring within the Statistical Programming team. This position is perfect for you if you have: BSc/BA or equivalent in computer science, mathematics, statistics, life sciences or related field(s). Excellent SAS programming skills (BASE, MACRO, GRAPH). Excellent knowledge of CDISC standards. Statistical Programming experience within a more »

Nordic languages, German, Spanish) Educational Requirements : - Bachelor's Degree/Master’s degree preferred in finance/accountancy/business administration/economics/statistics/mathematics/engineering or relevant fields from Top Universities If you're looking forward to work alongside senior management team members while playing instrumental more »

Investment Operations Associate: Our client is a London based Hedge Fund. Role: Proactively identify opportunities for process improvement and autonomously manage these projects. Daily “t+1” trading reconciliation of trading positions and cash accounts. Daily trade settlements and escalation of failing more »

science, machine learning, and the energy sector to drive continuous innovation. Qualifications: Education: Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Engineering, or a related field. PhD is a plus. Experience: 3+ years of experience in data science, preferably within the energy or utilities sector. Technical more »

potential costs, risks, and benefits of new business initiatives and strategies. Involvement with Tag Management solution. Skills and Experience: Bachelor’s degree in business, statistics/analytics, marketing or related field. Experience in business analysis, continuous improvement/lean manufacturing leadership, analytical role or a related field. Advanced technical skills more »

AI, and related fields to keep the company at the forefront of technological advancements Requirements: BSc or MSc in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Strong coding skills in Python and SQL Good knowledge of ML/AI state-of-the-art, principles, practical applications and limitations more »

both structured and unstructured data. Support and improve ML infrastructure – particularly Azure ML. Contribute to MLOps across the organisation. Requirements An academic background in Statistics, Mathematics, or Computer Science (or similar) A number of years of commercial work as a Senior Data Engineer (responsible for taking decisions, rather than just more »

Experience/knowledge of FRTB, IRRBB and Risk Models such as Value-at-Risk (VaR) and Stress methodologies.. • Strong mathematical background covering stochastic calculus, statistics, matrix algebra, optimisation methods and interpolation techniques. • Object-oriented programming skills. Preferably Python and or C#, although skills in other languages such as C++, Java more »

a investment bank. Familiarity with financial markets, trading concepts, and transaction cost analysis. Strong experience working with Python or MATLAB. Proficiency in quantitative analysis, statistics, and data modeling. Experience working with large datasets and databases. Excellent opportunity with a high-performing trading team rewarding package on offer with high growth more »

analytics system based on computer vision technology. Our system empowers coaching staff and players to access their data, track progress, and enhance performance through statistics and highlights, all within a cost-effective, automated AI platform. As Business Development Manager at Bigbro.ai, you will join our team and help to build more »