51 to 75 of 102 Statistical Modelling Jobs in England

risk indicators . Advanced degree in Finance, Economics, Mathematics, Computer Science, or another relevant quantitative field. Exceptional analytical and quantitative skills , with expertise in statistical analysis and financial modelling. Outstanding communication and interpersonal abilities, with the skill to explain complex concepts to a varied audience. Team player with proven more »

or mathematical models. Strong proficiency in programming languages such as Python, Java, or R, with experience in test automation and scripting. Solid understanding of statistical methods, mathematical modelling techniques, and data analysis tools. Familiarity with regulatory requirements and industry standards related to model risk management (e.g., SR more »

Energy start up as a member of the core planning team, supporting the growth of the business on a global scale. Responsibilities - Consultant Financial Modelling : Develop and maintain financial models to evaluate the viability and profitability of proposed projects. This includes revenue projections, cost structures and investment returns to … Consultant 2-4 Years of Analyst Experience : Demonstrated experience as an analyst in an investment banking environment, with a strong understanding of financial analysis, modelling, and decision-making processes. Experience in analysing investment opportunities, evaluating financial performance, and conducting market research will be highly beneficial. Relevant Qualifications: Possession of … in building advanced predictive models is desirable, as it enables you to forecast future trends, assess risk, and optimise decision-making processes. Experience with statistical modelling techniques and predictive analytics tools will be advantageous. Permanent Opportunity. If you are interested in this position, please reach out through the more »

t expect you to know everything from day one, but the following will enable you to hit the ground running: Solid knowledge of relevant statistical modelling methods - in particular GLMs Knowledge of relevant machine learning techniques - in particular GBMs Proven experience in working with large data sources Good more »

t expect you to know everything from day one, but the following will enable you to hit the ground running: Solid knowledge of relevant statistical modelling methods - in particular GLMs Knowledge of relevant machine learning techniques - in particular GBMs Proven experience in working with large data sources Good more »

t expect you to know everything from day one, but the following will enable you to hit the ground running: Solid knowledge of relevant statistical modelling methods - in particular GLMs Knowledge of relevant machine learning techniques - in particular GBMs Proven experience in working with large data sources Good more »

at ease with working with databases, ability to highlight trends and use complex data to support decisionsBeing proficient in Excel and VBA; SQL, python, statistical modelling, other programming would be an advantageYou are a true and kind team player, quick learner, and able to work with short deadlines more »

adjusted returns. Quantitative Developer Position: The successful quantitative developer candidate will join our betting solutions team. These solutions entail the development of mathematical/statistical models and high-performance algorithms; efficient coding; automation of betting operations; data generation, acquisition, storage and manipulation; performance analysis through back-testing and simulations. more »

the latest development within ML and design and deliver these across ML and Neural Network Methodologies. You will be involved in data analysis and statistical modelling. You will be writing high quality code and deploying these models both on premise and into the cloud. Skills : Experience either within the more »

on the broad spectrum of customer analytics, and we have 30 million known customers to play with… In CVU we do our most complex modelling, forecasting, tool building, and insights-generation and we use agile working methodologies to make sure we’re prioritising the right outcomes.This Analytics Manager role … of efficiency and best practice in how code should be written - and an ability to install this in the wider team.Excellent analytical skills and statistical understanding including predictive modelling, clustering, time series analysis and experience of applying these for decision makingHigh level understanding of data architecture/governanceExperience more »

successful scala software engineer will be responsible for helping build and maintain the software that makes that possible - everything from modern web applications to statistical models, real time data platforms to cloud infrastructure. You will be working closely with the quantitative researchers and alongside other extremely talented and driven more »

provide insights into performance, and identify opportunities for strategic improvements. Key Responsibilities: Analyse and interpret large datasets to identify trends, patterns and insights Develop statistical models and perform data mining techniques to support business decisions Work closely with various teams across the organization to understand their data needs and … science, business intelligence). Proficient in SQL, DAX, and advanced Excel. Skilled in visualization tools such as Cognos, SSRS, Power BI, or Business Objects. Statistical solid and problem-solving acumen, showcasing deductive and inquisitive thinking. Business acumen, particularly in financial services. Outstanding communication and presentation abilities. Proficiency in effective more »

needed to adapt to changing market conditions. Stay abreast of industry developments and emerging trends in algorithmic trading, quantitative finance, and machine learning. Perform statistical analysis and quantitative research to enhance trading strategies and improve risk-adjusted returns. Work closely with other members of the quant team to share … programming languages such as Python, R, or C++, with experience in quantitative libraries and tools (e.g., NumPy, pandas, TensorFlow). Experience with data analysis, statistical modeling, and machine learning techniques applied to financial data. Knowledge of trading platforms, order execution systems, and electronic trading protocols. Excellent analytical and problem more »

Data Scientist in the ad-tech/mar-tech or data analytics companies, including the following experience in: business intelligence, data mining, analytics, and statistical modeling disciplines; analyzing and presenting data insights and code, communicating effectively with technical developers and non-technical marketing business partners, teammates and leadership; implementing … data; programming in Python or Ruby, utilizing AWS S3, MongoDB, PostgreSQL, AWS Redshift or similar database technologies; using Jupyter notebooks and one or more statistical visualization or graphing toolkits such as Excel, Qlik Sense or Tableau. Technical Blog Posts Read more about what our Engineers and Data Scientists do more »

for a broad range of business objectives, such as asset pricing, demand forecasting, sentiment analysis, and other machine-learning techniques for pattern recognition and statistical modeling. You may also participate in due diligence analyses of future investments, or evaluate 3rd party solutions and cloud-based tools for client adoption. … development of both back-end data pipelines and front-end applications Generate analytical reports to track adherence of client processes to business strategy Apply statistical methods to predict future client business outcomes Participate in due diligence of investment proposals as a Technology expert Evaluate 3rd party solutions for functionality more »

DATA SCIENTIST- LOGISTICS £50,000 - 60,000 SHEFFIELD Work a crucial role within a customer focussed team, using predictive modelling and statistical analysis to provide insights that can affect this high growth retailer across their logistics! THE COMPANY A UK renowned retailer within fashion going through a HUGE … SKILLS The successful candidate will have the following skills and experience: Strong SQL and Python with previous experience in data extraction, data manipulation and statistical analysis and model deployment Expert using visualisation tools such as PowerBI or Tableau to provide insights in an aesthetic visual deck Great communicator and … your interest by sending your CV to Gerard Matthews via the apply link on this page. Data Analyst, Data Analytics, SAS, Python, R, Data Modelling, Google Analytics, Adobe Analytics, Coremetrics, GA, AA, Clustering, Propensity Modelling, Segmentation, CRM, CRM Analytics, Marketing Analyst, Insight Analyst, Growth Analyst, Customer Analytics Desired more »

degree in Physics, Electronic Engineering or related discipline.Skills and experienceExtensive knowledge of semiconductor reliability failure mechanisms, industry- standard acceleration and testing methodologies, and relevant statistical modelsExperience in leading reliability teams in a commercial semiconductor environmentAbility to work to tight deadlines and progress multiple projects simultaneouslyAbility to lead and influence more »

Global Product team. About the Project/Role The key area of focus for the role is the development and improvement of mathematical and statistical models demonstrating different data sets both at panel level and at census level. These will include Kantar’s internally owned data and data from … frequency estimates for highly granular and accurate viewing insight, without the limitations of panel sizes. Job Role Requirements Design and refine machine learning and statistical models to improve their performance and adaptability. Develop prototypes of statistical and machine learning models in Python, ensuring they integrate seamlessly into existing … deploying models into production environments efficiently. Conduct thorough data investigations to ensure the quality and completeness of datasets and oversee quality control measures for modelling outcomes. Actively engage in team knowledge-sharing sessions and deliver presentations to discuss findings, insights, and methodologies across the team and broader organisation. Take more »

to hire multiple Data Scientists to join them in their offices in Guildford. They're looking for people that are comfortable with terms like; Statistical Models, Computer Vision, Predictive Analytics, Data Visualization, Large Language Models (LLM), NLP, AI, Machine Learning, MLOPs, Python, Pyspark, and Azure. Flexible Working : The role … You're more than capable with SQL & Python You have exposure to big data technologies such as Spark Ideally you will have experience with statistical analysis, machine learning algorithms, and data mining techniques You have excellent communication skills and can communicate well with both technical and non-technical stakeholders more »

Econometrics Consultant (Market Mix Modelling) Paying up to 50k London Company Profile You will be joining a digital-first marketing and advertising services company who are focused on connecting the dots across content, data & digital media and technology services. Inspired by the connectivity and flexibility of technology APIs. You … themselves, authentically, every day. The Opportunity The marketing effectiveness division of the organisation, is looking for a bright and personable Econometrics/Market Mix Modelling (MMM) Analyst at the top of their game in the econometric modelling field to really influence and help drive the company on towards … clients over a range of industries Produce outstanding marketing evaluation projects to clients Exceptional data analytics Data visualisation Presentation delivery to the client Running statistical models Assisting senior consultants and directors to produce outstanding marketing evaluation projects Help with research and development of tools and ideas to grow the more »

of extending) Start: ASAP Location: Remote (Candidates Must be in United Kingdom) Position Type: Freelance/Contract/B2B Summary: We are seeking Probabilistic modelling Specialist with a strong background in risk assessment, data analysis, and machine learning. The ideal candidate will be responsible for designing, developing, and implementing … making processes. Lead the design and development of a risk assessment tool/module to evaluate the potential risks of new projects. Utilize advanced statistical, probabilistic, and machine learning techniques to identify, quantify, and predict risks. Integrate the tool with existing project management systems and ensure seamless data flow … management or project management is highly desirable. Proficiency in programming languages such as Python, R, C++ or SQL. Strong understanding of machine learning algorithms, statistical methods, and probabilistic modeling techniques. more »

the design and implementation of sophisticated analytics models to enhance understanding of pricing responses, customer behaviours, and business dynamics. Utilize advanced machine learning and statistical techniques to forecast trends and enhance operational efficiencies. Provide actionable insights and strategic recommendations to senior stakeholders based on rigorous analysis. Collaboration and Influence … Extensive experience in advanced analytics and data science, preferably in a commercial or consulting environment. Proficiency in Python programming and experience developing ML or statistical models related to pricing. Strong familiarity with data visualization software (e.g., Tableau, PowerBI) and data management tools (e.g., SQL, Snowflake). Bonus Points for more »

My client is committed to sizable increases on any base salary alongside market-leading bonuses. Key Responsibilities will include: · Develop and maintain the risk modelling, pricing, and analytics suite to enable effective decision making by Risk, Portfolio Managers, and the Investment Committee · Assist Risk Managers to identify, evaluate and … other financial institution · Strong programming skills in languages such as Python and experience with Rest API · Strong analytical and quantitative skills, and experience in statistical analysis, data modeling or machine learning desirable · High levels of motivation and continually seeking to improve the performance of self and supportive of others more »

of pricing strategies in a B2B company Superb business acumen Comfort working with varying teams and seniority levels Excellent understanding of how to interpret statistical and financial analysis Knowledge of data process to manage projects with Analytics team. Successful in making and informing data-driven decisions Expert Excel knowledge … business or other applicable discipline Hands-on analytical experience Power BI or comparable BI software (Tableau, Looker, Qlik, etc) SQL, R, Python or equivalent statistical modeling tools (e.g., Regress, SAS, etc more »

are interested in expertise in all HFT, MFT, and LFT). Construct robust portfolio based on multiple signals Identify new trading opportunities by using statistical methods and analyzing large data set Contribute to improving a state-of-the-art quantitative pipeline that allows for fast strategy test iteration and … 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 Python and understanding of Git Desirable traits Curious and open more »