126 to 150 of 290 Statistical Analysis Jobs in the UK

ability to work effectively with cross-functional teams in a fast-paced environment are critical skills for this role. Key job responsibilities Create actionable business insights through analytical and statistical rigor to answer business questions, drive business decisions, and develop recommendations to improve operations Collaborate with Product Managers, software engineering, data science, and data engineering partners to design and … military experience 5+ years of SQL experience Experience programming to extract, transform and clean large (multi-TB) data sets Experience with theory and practice of design of experiments and statistical analysis of results Experience with AWS technologies Experience in scripting for automation (e.g., Python) and advanced SQL skills Experience with theory and practice of information retrieval, data science More ❯

debt collection, debt purchase, reconnection, and litigation services. The Role Perch Group are looking for a decision scientist to design and optimize data-driven solutions that support machine learning, statistical analysis, and predictive modelling. You’ll work closely with a team of analysts and the investment team to create high-quality, scalable data models that fuel AI-driven … and iteratively improving models based on historic trends. The models will vary in design, but current models include XGboost, Random Forest and MCMC models. This role will also create analysis and provide support to the pricing team, to increase their automation and accuracy of analysis in the financial sector. You will use and encourage the use of ethical More ❯

BASIC QUALIFICATIONS - 5+ years of SQL experience - Experience programming to extract, transform and clean large (multi-TB) data sets - Experience with theory and practice of design of experiments and statistical analysis of results - Experience with AWS technologies - Experience in scripting for automation (e.g. Python) and advanced SQL skills. - Experience with theory and practice of information retrieval, data science More ❯

interpreting data with Redshift, Oracle, NoSQL etc. experience - Experience with data visualization using Tableau, Quicksight, or similar tools - Experience with data modeling, warehousing and building ETL pipelines - Experience in Statistical Analysis packages such as R, SAS and Matlab - Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for More ❯

business problems. Collaborate with cross-functional teams to gather requirements and translate them into technical specifications. Build and maintain production-grade Python applications for machine learning and AI. Apply statistical analysis and machine learning techniques to derive insights from large datasets. Develop natural language processing (NLP) models to enhance user experience and automate processes. Utilize Azure DevOps for More ❯

with our performance marketing team and marketing platforms (Meta, Tiktok, Apple etc) to design and implement lift studies that enhance our understanding of channel performance & incrementality. Brand Marketing Campaign Analysis: Develop causal inference models to provide deeper insights into the performance and uplift of our brand marketing campaigns on awareness and acquisition. Operational Excellence: Continuously review and refine data … tooling, collaborating with engineering to maximise efficiency. What you’ll need 3+ years in Data Science, with a focus on Marketing Science or a related field. Strong background in statistical analysis, including Marketing Mix Modelling and Predictive LTV modelling. Excellent knowledge of both Data Science (Python, SQL) and production tools (Airflow). Experience of shipping tested models which More ❯

part of the role is the quality assessment of the large and varied market data sets used the production of these services. This will often involve the ad-hoc analysis and sourcing of market data and the challenging/querying of suspect market data used in our services with various data providers. The role also involves working closely with … quality work to deadlines. Ability to demonstrate pro-active drive, customer focus and a desire to go the extra mile. Desirable Skills: Knowledge of financial mathematics and quantitative/statistical analysis. Knowledge of database management systems and Python/SQL query construction. Basic knowledge of software programming. Basic understanding of service management best practice and processes. The Department/ More ❯

flow and model integration. Create dashboards, reports, and visualisations to communicate findings to both technical and non-technical stakeholders. Continuously evaluate and improve the performance of deployed models. Apply statistical methods to solve real-world business problems. Ensure data science practices comply with data security and governance standards. Data Scientist experience we’re looking for – Proven experience in a … commercial Data Science role. Strong proficiency in Python (including libraries like pandas, scikit-learn, TensorFlow or PyTorch). Solid understanding of machine learning algorithms, data modelling, and statistical analysis. Hands-on experience working with large datasets and data wrangling techniques. Familiarity with cloud-based environments, particularly AWS. Comfortable with SQL and working with relational and non-relational databases. Experience More ❯

statistics, mathematics, operations research, or natural sciences, with hands-on data science experience including AI/Gen AI and machine learning. Experience analyzing large data sets, data cleaning, and statistical analysis. Proven experience with at least three machine learning algorithms (e.g., neural networks, logistic regression, random forests). Proficiency with Java and Python, understanding of data structures, algorithms, and More ❯

strong relationships over time. Projects will be varied but could be anything from Data Modelling to address a specific business problem, Data Science & Machine Learning associated with electronic trading, statistical analysis of different financial data sets, data transformation advisory and consulting. What we are looking for : Degree level academics in Quant topic: Maths, Stats, Science etc Track record … of working on Data Science & Analysis projects ideally within Capital Markets, but open to individuals who have other aligned commercial experience You'll have a good knowledge of Python & associated libraries You'll have a good understanding of DataBase's & Data Base Managment SQL, Excel & a Data Visualisation tool preferred Initially the role will probably be around 50/ More ❯

in digital advertising measurement (agency, platform, or brand side) 🔹 Strong understanding of ad effectiveness methodologies (reach, frequency, brand lift, sales lift) 🔹 Proficiency in R, SQL, or Python for data analysis 🔹 Expertise in statistical analysis and campaign study design 🔹 Excellent project management skills and attention to detail 🔹 Strong communication skills and experience working with EMEA markets 🔹 Prior experience More ❯

in digital advertising measurement (agency, platform, or brand side) 🔹 Strong understanding of ad effectiveness methodologies (reach, frequency, brand lift, sales lift) 🔹 Proficiency in R, SQL, or Python for data analysis 🔹 Expertise in statistical analysis and campaign study design 🔹 Excellent project management skills and attention to detail 🔹 Strong communication skills and experience working with EMEA markets 🔹 Prior experience More ❯

Experience in autonomous work across various levels, from global to local teams, in a fast-paced environment is highly preferred. Key Responsibilities Handle large, complex data solutions, conduct strategic analysis, generate insights, and drive initiatives to improve seller experience and accelerate business growth. Establish effective mechanisms to collaborate with sellers and business teams, identify problems, influence leadership, and implement … with data visualization tools (e.g., AWS QuickSight, Tableau) or open-source projects. At least 3 years of experience analyzing and interpreting data using Redshift, Oracle, NoSQL, etc. Proficiency with statistical analysis packages (R, SAS, Matlab). SQL scripting and Python data processing experience. MBA or Master's degree in a related field. Experience in data mining, ETL, and More ❯

strong background in the following areas and the ability to flexibly apply and combine them on a daily basis: practical electronics test and measurement, experimental design, statistics and data analysis, analogue and mixed-signal circuit operation principles, and CMOS device physics and process. No background in quantum physics is required. Our Team Since 2021 our team has been listed … full product test lifecycle: pre-silicon test planning; bring-up and optimisation; inter-die variability studies; and product support (where required) High-quality documentation of experimental design, measurement data, analysis, and conclusions at each step Develop efficient and automated measurement and analysis routines to provide rapid and standardised feedback on new ICdesigns, driving faster design iteration Characterise and … and written communication skills Experience - Desirable High-frequency device characterization experience (RF and/or noise) Experience in automated digital circuit test engineering Prior experience with cryogenic electronics Advanced statistical analysis expertise Knowledge of SOI processes and fabrication technologies Expertise on CMOS process variation trends Familiarity with machine learning techniques and libraries Quantum physics background Benefits Be part More ❯

Optimize models for speed, accuracy, and efficiency in real-time environments Monitor model performance and implement feedback loops and retraining mechanisms Conduct experiments using A/B testing and statistical analysis to validate approaches Document ML systems and provide support for ongoing performance tuning Use tools like Python, TensorFlow, PyTorch, Scikit-learn, AWS, GCP, MLflow, Docker, SQL , and … minimum 1 year ) Strong proficiency in Python and popular ML frameworks (e.g., TensorFlow, PyTorch) Experience deploying machine learning models into production environments Solid understanding of data structures , algorithms , and statistical learning Familiarity with cloud platforms (AWS, Azure, or GCP) and ML pipeline orchestration Bonus: Experience with deep learning , NLP , recommendation systems , or computer vision Excellent problem-solving, communication, and More ❯

in the life The role will focus on providing insights to allow our Amazon Business team to make fast, accurate, and impactful decisions. The role will focus on reporting, analysis, and facilitating business reviews across our business teams. We are looking for a candidate with a passion for data, analytics, insights and technology who is eager to have a … infrastructure) & workflows that allow ingestion, storage, processing and querying of data b) building ready-to-use datasets for easy and faster access to the data c) automating standard business analysis/reporting/dashboarding d) empowering business with self-service tools for deep dives & insights seeking. The value construct of these capabilities is to enhance the speed of business … military experience - 5+ years of SQL experience - Experience programming to extract, transform and clean large (multi-TB) data sets - Experience with theory and practice of design of experiments and statistical analysis of results - Experience with AWS technologies - Experience in scripting for automation (e.g. Python) and advanced SQL skills. - Experience with theory and practice of information retrieval, data science More ❯

culture of innovation and an AI-first mindset, promoting collaboration and excellence Present to Senior Leadership on biggest AI opportunities and progress of the special AI programs Conduct thorough analysis of quantitative and qualitative data available to produce clear, actionable insights and recommendations for the business Collaborate with in business Analytics and Technology teams for the end-to-end … capabilities, and skills Experience or understanding of Financial Services Experience in a highly quantitative role, ideally as a data scientist at a growth or research organization Deep expertise in statistical analysis, experimental design, and causal inference Proficiency in Python, orchestration frameworks, SQL and other analytical tools More ❯

related field Proficient in Python (core skill), with strong experience in SQL Proven track record of applying analytics in digital media, technology, or consumer-focused organisations. Strong knowledge of statistical analysis, machine learning, forecasting, and operations research techniques. **Please note that this role does not offer visa sponsorship** How to Apply: Register your interest by sending your CV More ❯

related field Proficient in Python (core skill), with strong experience in SQL Proven track record of applying analytics in digital media, technology, or consumer-focused organisations. Strong knowledge of statistical analysis, machine learning, forecasting, and operations research techniques. **Please note that this role does not offer visa sponsorship** How to Apply: Register your interest by sending your CV More ❯

weight saving strategies and maintain the list of weight risk and opportunities for each discipline area Interrogate CAD models to determine estimates for mass properties with associated uncertainties Utilise statistical analysis to provide a whole boat picture of weight risk and opportunity to senior leaders, stakeholders and our customers Your skills and experiences: Essential Qualified in STEM subject … of a team IT literate in Microsoft packages, experienced knowledge in Excel Ability to understand and interpret engineering data Desirable Experience working with large, Electrical or Mechanical systems Data analysis experience including interpretation, visualisation, manipulation and presentation Experience of using CAD packages and programmes CEng/IEng status or a clear pathway to achieving professional recognition Benefits: You'll More ❯

hybrid Senior Technical Pricing Analyst: An opportunity has arisen to join Ageas’s Underwriting department in the Technical Pricing team. Technical Pricing are responsible for the production of specialist statistical risk models for our insurance products including Private Car, Van, Bike and Household. While we have offices in London, Eastleigh and Bournemouth, we will accommodate working from home full … as Senior Technical Pricing Analyst: Creating complex, robust actuarial models and interpreting the results to deliver high impact, innovative pricing. Assisting in the production of ad-hoc actuarial and statistical analyses, working with stakeholders across the company to solve a wide range of business problems. Producing reports, documentation, and presentations to communicate statistical models and results to key … for this role. Excellent analytical skills with the ability to manipulate and interpret data. The job holder should be able to identify, investigate and interpret the results of an analysis, considering past the more obvious first order effects. A high level of problem solving is required, both logically and laterally, along with an ability to engage in research. At More ❯

scalable solutions that ensure optimal performance and availability of thousands of workcells across Amazon's global fulfillment center network. Key job responsibilities Primary responsibilities: - Utilize data analytics, root cause analysis, design of experiments and six sigma methods to improve reliability and availability of critical automation equipment and robotics & mechatronics systems. - - Develop and deliver impactful data-driven analyses, based on … and leaders within RME to deliver structured problem solving. - Design, pilot and implement new preventative maintenance standards, interval adjustments, part replacement cycles, and work instruction streamlining based on granular analysis of reliability (MTBF, MTTR, OEE, etc.) trends across assets. - Develop automated reporting through advanced SQL and Quicksight to provide RME leadership with actionable insights, trends and analysis around … in robotics and mechatronics. - Lean Six Sigma experience required. Demonstrated success leading Kaizen events - Experience coding in Python, SQL, or R for purposes of data extraction, organization, visualization and statistical analysis. PREFERRED QUALIFICATIONS - Experience in Robotics and Mechatronics maintenance. - Technical understanding of: robotics system components/controls, HMI components, control network components, motion control, and standard electrical components - Understanding More ❯

advertisers to meet their customers, and helps Amazon continuously innovate on behalf of all customers. Key job responsibilities As a Machine Learning Applied Scientist, you will: Conduct deep data analysis to derive insights to the business, and identify gaps and new opportunities Develop scalable and effective machine-learning models and optimization strategies to solve business problems Run regular A …/B experiments, gather data, and perform statistical analysis Work closely with software engineers to deliver end-to-end solutions into production Improve the scalability, efficiency and automation of large-scale data analytics, model training, deployment and serving Conduct research on new machine-learning modeling to optimize all aspects of Sponsored Products business BASIC QUALIFICATIONS - 3+ years of More ❯

for collaboration with cross-functional teams Ability to manage time effectively and meet deadlines in a fast-paced environment Experience with data preprocessing and feature engineering techniques Familiarity with statistical analysis and data visualization tools Willingness to learn and adapt to new technologies Key behaviours Strong analytical and problem-solving skills Adaptability to rapidly changing environments Proactive and More ❯

with our performance marketing team and marketing platforms (Meta, Tiktok, Apple etc) to design and implement lift studies that enhance our understanding of channel performance & incrementality. Brand Marketing Campaign Analysis: Develop causal inference models to provide deeper insights into the performance and uplift of our brand marketing campaigns on awareness and acquisition. Operational Excellence: Continuously review and refine data … tooling, collaborating with engineering to maximise efficiency. What you’ll need 3+ years in Data Science, with a focus on Marketing Science or a related field. Strong background in statistical analysis, including Marketing Mix Modelling and Predictive LTV modelling. Excellent knowledge of both Data Science (Python, SQL) and production tools (Airflow). Experience of shipping tested models which More ❯