76 to 100 of 127 Permanent Statistical Modelling Jobs

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 »

at 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 MRNA or more »

/or conducts complex analyses Gather and analyze data from various sources to identify trends, patterns, and insights. Involves working with large datasets, using statistical and visualization techniques Create reports and dashboards that present data in a clear and meaningful manner. Includes designing and developing reporting templates, visualizations, and … developing automated reports, dashboards, and visualizations to present complex data in a clear and meaningful manner. Strong proficiency in data analysis, including data manipulation, statistical analysis, and data visualization. Proficiency in tools such as Excel, SQL, and data visualization software (e.g., Tableau, Power BI). Ability to collaborate with … pipelines, data integration, and ETL processes. Proficiency in programming languages such as Python or R for advanced data manipulation and analysis. Skills in advanced statistical analysis, predictive modeling, or machine learning techniques. Healthcare industry previous experience or knowledge. At UnitedHealth Group, our mission is to help people live healthier 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 »

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 »

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 »

dataset. These insights are instrumental in enhancing investors' decision-making processes and ultimately driving superior outcomes for their clients. Key Responsibilities: Conduct in-depth statistical research (primarily in R) on data generated by stock pickers throughout their decision-making cycles. Articulate data-backed insights to investment decision-makers in … a clear and concise manner. Collaborate with the development team to prototype decision analysis tools that offer actionable feedback to investment teams. Utilize advanced statistical techniques and modelling to identify and interpret patterns in actions and outcomes. Work closely with behavioural science experts to provide quantitative evidence in … superior returns for clients. Experience: Degree in Quantitative Finance, Mathematics, Statistics, Physics, Computer Science, or a related field. Strong quantitative skills with proficiency in statistical analysis and coding (Python, R). Experience in applying quantitative methods to financial data analysis. Exhibited excellence in academic and/or extra-curricular more »

Your tasks • You will contribute your expertise in quantitative problems in mixed teams and tackle challenges in the areas of (financial) mathematical modelling and data-driven risk management. • Utilizing modern technologies, you will quantify, for example, the influence of current megatrends such as climate change on credit portfolios or … processes in a management-oriented manner. • Ideally, you have already gained experience in one of the following areas: data analysis, machine learning, mathematical optimization, statistical/stochastic modelling, time series analysis. • Programming skills in one or more of the following programming/scripting languages round out your profile more »

of GCP, R or Python Experience of Data Visualisation tools such as Tableau or Power BI A good knowledge of core analytical methods and statistical approaches Predictive modelling experience Experience of measuring the impact of change Candidates will need to show evidence of the above in their CV 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 »

Direct 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:Collaborate closely … client engagementExtensive 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:Experience implementing 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 »

data profiling methodologies. Establish the use of engineering best practices around CI/CD, unit testing, performance testing and optimization. Design, develop and implement statistical models to carry out various novel aspects of classification and information extraction from data. Partner directly with the Data Architecture team to ensure quality … hashing, and implementation of required data model changes. Analyze data to spot anomalies, trends, and correlate similar data sets. Design, develop, and implement general statistical models. Troubleshoot problems, identify possible solutions, and resolve accordingly. Ensure adherence to risk policies and standards as set forth by the organization. Lead junior more »

can learn more about LexisNexis Risk at the link below, risk.lexisnexis.com About our Team : You will part of a team assisting the business with statistical analysis and building predictive models for credit, fraud, and identity risk. About the Role : This a Lead Data Scientist to manage a small team … future strategy of the team, as well as performing product development and research projects as needed. The incumbent will have experience in data mining, statistical methods, and multiple modelling/scoring techniques. Responsibilities Managing a small team of data scientists building credit and fraud risk predictive models and … leading junior data scientists, either via direct line management or peer coaching. Demonstrate good oral and written communication skills, including the ability to describe statistical results to non-technical audiences Show initiative and tenacity to help build and scale a new analytics function, including developing future leaders Have expertise more »

Your tasks • You will contribute your expertise in quantitative problems in mixed teams and tackle challenges in the areas of (financial) mathematical modelling and data-driven risk management. • Utilizing modern technologies, you will quantify, for example, the influence of current megatrends such as climate change on credit portfolios or … processes in a management-oriented manner. • Ideally, you have already gained experience in one of the following areas: data analysis, machine learning, mathematical optimization, statistical/stochastic modelling, time series analysis. • Programming skills in one or more of the following programming/scripting languages round out your profile more »

Your tasks • You will contribute your expertise in quantitative problems in mixed teams and tackle challenges in the areas of (financial) mathematical modelling and data-driven risk management. • Utilizing modern technologies, you will quantify, for example, the influence of current megatrends such as climate change on credit portfolios or … processes in a management-oriented manner. • Ideally, you have already gained experience in one of the following areas: data analysis, machine learning, mathematical optimization, statistical/stochastic modelling, time series analysis. • Programming skills in one or more of the following programming/scripting languages round out your profile 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 »

Job DescriptionStatistician/Python/Models/Algorithms/Data Modelling/Quantitative/Economist Role: Senior Statistician Company: AI PropTech Salary: up to £80,000 Location: London – Hybrid Responsibilities:• Explore the data through thorough analysis to unveil statistical indicators and patterns within our datasets.• Examine the structure … and integrity of the data, detecting anomalies or discrepancies.• Your proficiency in statistical analysis, data modelling, and problem-solving will play a critical role in guiding the trajectory of our products and services.• Gauge the significance and scale of the data to support decision-making.• Choose appropriate statistical … to project needs.• Prototype data models to tackle real-world issues and refine them as necessary.• Utilise Python (and SQL) to develop and enhance statistical models.Key requirements: • Demonstrated expertise in roles such as Statistician, Trader, Economist, Quantitative (Quant) Analyst, or comparable positions.• Proficient in Python, SQL, and Excel for more »

Statistician/Python/Models/Algorithms/Data Modelling/Quantitative/Economist Role: Senior Statistician Company: AI PropTech Salary: up to £80,000 Location: London – Hybrid Responsibilities: • Explore the data through thorough analysis to unveil statistical indicators and patterns within our datasets. • Examine the structure and … integrity of the data, detecting anomalies or discrepancies. • Your proficiency in statistical analysis, data modelling, and problem-solving will play a critical role in guiding the trajectory of our products and services. • Gauge the significance and scale of the data to support decision-making. • Choose appropriate statistical … to project needs. • Prototype data models to tackle real-world issues and refine them as necessary. • Utilise Python (and SQL) to develop and enhance statistical models. Key requirements: • Demonstrated expertise in roles such as Statistician, Trader, Economist, Quantitative (Quant) Analyst, or comparable positions. • Proficient in Python, SQL, and Excel more »