351 to 375 of 464 Statistics Jobs in London

understand investment processes and translate them into practical solutions Required Qualifications, Capabilities, and Skills: Hold a Master’s degree or PhD in computer science, statistics, mathematics, engineering, econometrics, or a quantitative field Demonstrate a strong foundation in statistics, probability, experimental design, and machine learning, with sound judgment in method selection ...

with relevant technologies and standards. Qualifications Strong foundation in Data Science and Data Analytics to design, implement, and evaluate data‐driven solutions. Proficiency in Statistics and Data Analysis for building robust models and performing rigorous quantitative assessments. Experience with Data Visualisation to present complex findings clearly to technical … tools commonly used in data science (e.g., Python, R, SQL, modern BI tools). Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Engineering, or a related quantitative field. Ability to work collaboratively in a multidisciplinary environment and communicate technical concepts effectively. Knowledge of engineering, construction ...

productionize them using MLOps best practices Develop batch and online inference for ML models Required Qualifications, Capabilities, and Skills MS in Computer Science, Statistics, Mathematics, Machine Learning, or related field (or equivalent experience) Hands-on experience building LLM-powered or agentic applications in production, including tracing, evaluations, and guardrails Strong … programming skills in Python, with deep knowledge of data structures, algorithms, machine learning, data mining, information retrieval, and statistics Knowledge of Kubernetes (AWS EKS) Experience with training models in Databricks and SageMaker Experience working with MLFlow Practical RAG experience - retrieval quality, embeddings, and vector stores; Graph RAG a strong plus ...

full-time graduate role focused on building predictive models and automated trading algorithms. You will receive in-house training covering trading mechanics, statistics, and research processes used to generate signals. You will work across quantitative research, data science, algorithmic trading, and software development as needed, using your strong analytical ...

workflows. You will partner with trading, technology, and risk groups to deliver impactful tools and scalable infrastructure. You will lead modelling efforts using ML, statistics, and operations research, mentor junior researchers, and translate complex quantitative concepts for senior stakeholders #J-18808-Ljbffr ...

engage in portfolio construction, alpha research, and risk management, interfacing with researchers, technologists and traders across the firm. The role focuses on applying advanced statistics, machine learning, and data analytics to identify alpha opportunities and optimise multi-asset portfolios in various market regimes. #J-18808-Ljbffr ...

will work autonomously within a structured framework, with weekly check-ins and opportunities for professional development. We welcome applicants with MSc/PhD in statistics or related fields and solid R or Python experience. #J-18808-Ljbffr ...

risk decisions in a highly technical, hands-on role. The ideal candidate has extensive C++ experience with some Python exposure, a strong maths/statistics background, and the ability turn data into actionable strategies in a fast-paced environment. #J-18808-Ljbffr ...

feedback-driven decision system shaped by direct negotiation between riders and drivers. The role seeks 3+ years in data science or pricing, with strong statistics, optimization, and Python/SQL proficiency to productionize models and run real-time experiments. #J-18808-Ljbffr ...

course at our London site. The course targets undergraduates and professionals seeking applied data science insights for corporate decision-making, with a grounding in statistics and Python. Lecturers typically deliver up to 24 hours per week across modules, with fixed hours per module. The programme runs 18 to 28 January ...

high-impact AI data and tooling products. You should be pursuing a Bachelor's degree in CS/EECS/CS Eng/Statistics with prior CS/SE internship experience and a track record of shipping. This internship emphasizes ownership, speed, and learning. #J-18808-Ljbffr ...

teams Undertake utilisation activities to confirm skill set gaps, additional staffing requirements based on the strategical direction from the leadership team Provide board report statistics to the Managed Services Director relating to your team and function on a monthly basis Assist in CSAT and NPS where required Aid Service Management ...

their work and the overall data governance framework. External Department of Energy Security and Net Zero – Data and AI governance teams. Office for National Statistics - Data and AI governance teams. Role Criteria Please ensure you demonstrate clearly within your supporting statement, how you meet each of the criteria below ...

exceed KPIs and ARR targets. Drive the day-to-day activities of Channel Sales reps through daily team standups, close analysis of sales statistics and pipeline reviews. Engage with partners directly to build strategic relationships and growth of key partnerships. Assist Channel Sales reps in building partner sales engagements ...

search, databases and code execution. Detecting reward hacking, grader exploits, data contamination and label leakage, and the other ways a score can mislead. Statistics for noisy results: repeats, uncertainty and deciding when two runs really differ. Model-based grading and rubric design, including calibrating LLM judges against expert ratings. Hands ...

strong asset). Qualitative research: You are skilled in qualitative methods, including interviews, usability and concept testing, and structured synthesis. Survey research and statistics: You can design, field and analyze surveys (for example in Qualtrics), covering question design, sampling, statistical analysis and reporting results with the right caveats. Evidence-based ...

Plus, we help you grow your career through mentoring, sponsorship, and a culture of learning. Thanks for your interest in joining our team! Key statistics: 950+ Consultants 640+ Ph.D.s 90+ Disciplines 30+ Offices globally Our Opportunity We are currently seeking a Principal Engineer for our Electrical Engineering & Computer Science Practice ...

change - you can do valuable work today while the operating model around you is still forming. • Passion for complex problem solving, as well as statistics and algorithm development • Paint drip-shaped: you have multiple deep areas of expertise and demonstrate ability to use various approaches and adapt as roles blur. ...

cross-functional teams to embed analytical solutions into existing products and workflows. Evaluate and improve modelling approaches using rigorous quantitative assessment. Track developments in statistics and data science and bring the useful ones into our analytics. Provide expert guidance on data science initiatives across the organisation. What we're looking … Essential: A degree in Statistics, Mathematics, Machine Learning, Data Science or a related field (postgraduate study preferred). A minimum of 2 years of commercial experience applying statistical modelling and machine learning techniques to real‐world problems. Solid grounding in probability, statistics, uncertainty, linear algebra and calculus. Experience working with ...

partners closely with trading, technology, and risk teams to deliver impactful tools and analytics. The team specializes in building models that leverage Machine Learning, Statistics, and Operations Research to solve complex business challenges. As a Vice President in QTR Prime Finance, you will collaborate with senior stakeholders to design … collaborative team environment. Document models, methodologies, and processes for transparency and knowledge sharing. Required Qualifications, Capabilities and Skills Advanced degree (Masters or PhD) in Statistics, AI/ML, Computer Science, Operations Research, or related quantitative field. Significant experience in quantitative modelling, analytics, or related roles. Strong background in AI, machine ...

role: Recent graduate with an Undergraduate or Master's Degree in Computer Science , Computer Engineering, Electrical Engineering, Software Engineering, Data Science, Data Analytics, Mathematics, Statistics, or another engineering discipline or related technical field with no more than 12 months of post‐graduate professional experience as of the start date … knowledge of artificial intelligence and data science demonstrated through formal coursework, academic or personal projects, research, or internships; familiarity with machine learning, data analysis, statistics, or generative AI concepts Technical aptitude, problem‐solving ability, attention to detail, and willingness to learn complex technical concepts Written, verbal, and interpersonal communication skills ...

curious, and collaborative team culture About You Must Have Studying a quantitative degree (e.g. Economics, Maths, Engineering, Computer/Data Science, Statistics, etc.) Strong interest in analytics, modelling, marketing strategy and customer analytics Proficient in Excel functions (e.g., VLOOKUP, INDEX-MATCH, TEXT, IF, SUMIFS, pivot tables) for data cleaning, validation … structuring (this will be needed for the interview process) Some experience in Python, R or similar (academic, project or self-taught) Solid foundation in statistics, econometrics and data manipulation Consulting & Soft Skills: Curious, detail-oriented and comfortable working with ambiguity Excellent communication – both written and verbal Highly collaborative, self-motivated ...

Your profile Experience & Technical Skills 9+ years’ experience in econometrics, MMM, marketing effectiveness, or data science analytics. Bachelor’s or master’s degree in Statistics, Econometrics, Data Science, Economics, Applied Mathematics, Marketing Analytics, or a related field. Knowledge in Python, SQL, Excel, and visualisation tools; experience with Databricks, Azure … other cloud/data platforms is a plus. Deep understanding of econometrics, regression, Bayesian statistics, and advanced modelling techniques. Proven ability to handle large datasets, optimise pipelines, and deliver high-quality outputs. Track record of translating complex model outputs into strategic, business-focused recommendations. Fluent English is mandatory. Client & People ...

technical stakeholders. Must-Have Skills & Experience 8+ years of relevant Data Science, Machine Learning, or Applied AI experience. Bachelor’s degree in Machine Learning, Statistics, Data Science, Physics, Computer Science, or a related field, or equivalent education and industry experience. Advanced Python proficiency with Pandas, NumPy, scikit-learn, and PyTorch … TensorFlow; SQL and practical data preparation skills. Strong statistics, experimental design, hypothesis testing, ML validation, and applied classification, regression, ranking, clustering, forecasting, and anomaly detection knowledge. Hands‐on LLM prompting, embeddings, model comparison, and RAG design/optimization, including chunking, retrieval, and reranking. Practical instruction fine‐tuning or parameter‐efficient ...

year to support your professional development as a sports quant analyst: conferences, courses, meet-ups, networking events; in-person or remotely; on sports, statistics, machine learning, gambling, etc. Skills & Experience Required Technical MSc in Statisticsor a related field (e.g., Data Science or Mathematics)with 3+ years of relevant work experience … e.sportsquantitative analyst for a club, betting syndicate, or bookmaker. Or, PhD or equivalent in Statistics or a related field (e.Data Science, Mathematics). Candidates from adjacent fields (Computer Science, Engineering, Finance) are welcome via either route, provided they have solid applied statistics experience. Applied statistics:Solid understanding of GAMsandGLMs. Modeldiagnostics ...