26 to 50 of 82 Permanent Data Munging Jobs

Job summary The Chief Data Officer Group (CDO), consists of a large community of data scientists, government analysts (GSG, GORS, GES, GSR), intelligence analysts, mathematical modellers, epidemiologists, information specialists, and data engineers. This is a unique opportunity to help provide crucial information and insight to support the management of high-profile health incidents alongside … ongoing surveillance activities. UKHSA has a strong data science community with learning opportunities, community groups and hackathon events. We predominantly code in Python and R and utilise AWS and Azure based cloud environments. The teams use Agile ways of working including software such as Confluence and Jira to manage delivery. Our Enterprise Data and Analytics Platform … EDAP) is enriched with curated, consistent, and high-quality data from existing platforms as well as providing access to a range of analytical tooling. Main duties of the job We currently have openings in the following teams: Health Analytics and Automation - Leading on the delivery of key products to support incident response and the routine surveillance of health More ❯

and entrepreneurial environment. This global consultancy has offices in central London and a broad client base of blue-chip companies, operating across various sectors and industries. Within their data science and analytics team, you will provide expertise and structured thinking to develop innovative analytical solutions for complex business problems. The Role As part of an industry-leading Data and AI Advisory team, you'll collaborate with clients to enhance their data utilization, becoming more data-driven. This role offers the opportunity to work across diverse areas such as generative AI, user-centered design, machine learning, data visualization, data modeling and wrangling, and analytics governance. You will assist clients … in developing data products and models, deploying analytical tools, and scaling data capabilities. You will design data and intelligence products with stakeholders to translate analysis into insights that meet the data needs of senior leaders, impacting service delivery and consumers. The Individual To be successful, you should have: Experience with visualization projects More ❯

employing sophisticated algorithms to design, evaluate, and implement AI/ML applications or models to resolve these issues. You will be required to leverage the company's extensive data assets from both internal and external sources using tools like Python, Spark, and AWS. Additionally, your role will encompass extracting business insights from technical results and effectively communicating them … AI domain, from Pattern matching, Chatbot implementation, and using GenAI. Proactively develop an understanding of key business problems and processes. Execute tasks throughout the model development process, including data wrangling/analysis, model training, testing, and selection. Generate structured and meaningful insights from data analysis and modelling exercises and present them in an appropriate format according … to the audience. Collaborate with other data scientists and machine learning engineers to deploy machine learning solutions. Conduct ad-hoc and periodic analysis as required by business stakeholders, the model risk function, and other groups. Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and advanced applied experience. Experience in statistical inference and experimental More ❯

A global marketing-data organisation is upgrading the engine that matches millions of survey invitations to the right respondents. Your task: treat the matching pipeline as a full-scale optimisation problem and raise both accuracy and yield. Responsibilities Model optimisation - refactor and improve existing matching/segmentation models; design objective functions that balance cost, speed and data … SageMaker (moving to Azure ML); containerise code and hook into CI/CD. Monitoring & tuning - track drift, response quality and spend; implement automated retraining triggers. Collaboration - work with Data Engineering, Product and Ops teams to translate business constraints into mathematical formulations. Tech stack Python (pandas, NumPy, scikit-learn, PyTorch/TensorFlow) SQL (Redshift, Snowflake or similar) AWS SageMaker …/TensorFlow; clean, tested code. Cloud ML: hands-on with AWS SageMaker plus exposure to Azure ML; Docker, Git, CI/CD, Terraform. SQL mastery for heavy-duty data wrangling and feature engineering. Experimentation chops - offline metrics, online A/B test design, uplift analysis. Production mindset: containerise models, deploy via Airflow/ADF, monitor drift, automate retraining. More ❯

Data Scientist- Data Scientist - Journey Optimisation page is loaded Data Scientist- Data Scientist - Journey Optimisation Apply locations London time type Full time posted on Posted 8 Days Ago time left to apply End Date: June 27, 2025 (7 days left to apply) job requisition id JR0024 What will you be doing day … to-day? Use sophisticated statistical and machine learning techniques to identify new trends and relationships in data. Harvest, wrangle and prototype new data sources internally and external to NewDay to create new value for NewDay and our customers. Provide quality and detailed data science outputs, sharing and following up with as much detail as appropriate or … requested by senior managers. Develop knowledge of all relevant data resources within NewDay and in the wider Credit Industry. Governance: support the models throughout their lifecycle from conception, development, implementation, testing and monitoring, with the required level of documentation to follow internal procedures and standards. Your Skills and Experience ESSENTIAL At least a BSc or higher university degree More ❯

Data Scientist - Credit Behaviours page is loaded Data Scientist - Credit Behaviours Apply locations London time type Full time posted on Posted 2 Days Ago time left to apply End Date: July 6, 2025 (9 days left to apply) job requisition id JR0015 What will you be doing day-to-day? Use sophisticated statistical and machine learning … techniques to identify new trends and relationships in data. Harvest, wrangle and prototype new data sources internally and external to NewDay to create new value for NewDay and our customers. Provide quality and detailed data science outputs, sharing and following up with as much detail as appropriate or requested by senior managers. Develop knowledge of all … relevant data resources within NewDay and in the wider Credit Industry. Governance: support the models throughout their lifecycle from conception, development, implementation, testing and monitoring, with the required level of documentation to follow internal procedures and standards. Your Skills and Experience ESSENTIAL At least a BSc or higher university degree in a data science related field More ❯

Senior Data Scientist - Optimisation (Contract) Outside IR35 | £400-450 per day | 3-month initial term | Hybrid London (2-3 days on-site) The brief A global marketing-data organisation is upgrading the engine that matches millions of survey invitations to the right respondents. Your task: treat the matching pipeline as a full-scale optimisation problem and … raise both accuracy and yield. Core responsibilities Model optimisation - refactor and improve existing matching/segmentation models; design objective functions that balance cost, speed and data quality. Experimentation - set up offline metrics and online A/B tests; analyse uplift and iterate quickly. Production delivery - build scalable pipelines in AWS SageMaker (moving to Azure ML); containerise code and … hook into CI/CD. Monitoring & tuning - track drift, response quality and spend; implement automated retraining triggers. Collaboration - work with Data Engineering, Product and Ops teams to translate business constraints into mathematical formulations. A typical day Morning stand-up: align on performance targets and new constraints. Data dive: explore panel behaviour in Python/SQL, craft More ❯

Job Description We are looking to hire our next Lead Data Scientist to drive actionable insights and shape our commercial strategy with applied data science. In this pivotal role, you will own end-to-end projects, manage competing priorities, and deliver high-impact solutions that enable faster and better decisions through clear storylines and robust analytics. … based in Billund, Denmark or London, United Kingdom. Please note there is no relocation support for this position. Come join us! Core Responsibilities Drive end-to-end applied data science projects - from framing business problems and building models to delivering actionable insights that shape strategic decisions. Uncover commercial opportunities and risks by applying expert-level machine learning, statistical … modelling, and advanced data wrangling techniques. Craft compelling data visualisations and performance narratives that influence senior stakeholders and accelerate data-driven decision-making across global markets. Own and elevate key business processes, delivering a clear, consistent, and relevant narrative on business performance throughout the year through impactful post-event analyses and global performance reviews. More ❯

Bloomberg runs on data. Our products are fueled by powerful information. We combine data and context to paint the whole picture for our clients, around the clock - from around the world. In Data, we are responsible for delivering this data, news and analytics through innovative technology - quickly and accurately. We apply problem-solving skills … enhance our systems, products and processes - all while providing platinum customer support to our clients. The Company Financials team provides our clients with fast and accurate market-moving data so they can stay on top of their game: broker estimates, financial filings, and any other dataset that is useful to understand financial performance in the markets. Our products … run on intelligence and industry-specific insights provided by the industry teams. We combine financial modeling, industry expertise, data management, and technical skills to curate critical metrics and drive insights from our data. We are dedicated to crafting a best-in-class financial analysis and modeling product while continuously looking to enhance and expand our existing offering through More ❯

As a Data Scientist, you will be involved in full spectrum analytic technical support to mission operations and the intelligence lifecycle: requirements collection and refinement, translating user requirements into technical requirements, environment configuration, exploratory data analysis, model development, selection, and evaluation, identifying insights from analytic products and then communicating those results to a nontechnical audience. To … that end, you will work with cross-functional teams to identify relevant and permissible data sources, access available infrastructure, and to develop analytic products tailored to mission user requirements. Strong communication and interpersonal skills are critical in your ability to collaborate with your technical colleagues and building rapport with the customer. Your analytic products should clearly and succinctly … in an easy-to-consume manner for customers to take action on. Qualifications: Bachelor's degree or equivalent practical experience. 4 - 6+ years of experience in computer science, data science, data analytics. Experience executing data science methods using python libraries for Data Cleaning/Wrangling, Exploratory Data Analysis (EDA), Statistical More ❯

Data Scientist (Salary $150K - $190K) Competency Area(s) Alignment: Data Architecture & Engineering Number of positions: 4 Team: DAI Role Description An active TS/SCI Clearance is a pre-requisite for consideration. As a Data Scientist, you will be involved in full spectrum analytic technical support to mission operations and the intelligence lifecycle: requirements … collection and refinement, translating user requirements into technical requirements, environment configuration, exploratory data analysis, model development, selection, and evaluation, identifying insights from analytic products and then communicating those results to a nontechnical audience. To that end, you will work with cross-functional teams to identify relevant and permissible data sources, access available infrastructure, and to develop … in an easy-to-consume manner for customers to take action on. Qualifications: • Bachelor's degree or equivalent practical experience. • 4 - 6+ years of experience in computer science, data science, data analytics. • Experience executing data science methods using python libraries for Data Cleaning/Wrangling, Exploratory Data Analysis (EDA), Statistical More ❯

Data Analyst (FTC – Hybrid, UK-based) Location: Remote/Reading (Hybrid) Type: Fixed-Term Contract 1 year Salary: £35,000 with excellent benefits Shape the future of land and property data across England and Wales. Are you a data-driven problem-solver with a sharp eye for detail and a passion for complex data transformation? A high-impact opportunity has just opened for a skilled and proactive Data Analyst to join a cutting-edge Data Engineering team that’s powering one of the most ambitious digital transformation programmes in the UK. This is your chance to work at the forefront of a nationally significant data modernisation … project—delivering insights, improving data quality, and enabling smarter decisions in one of the country's most crucial data domains. The Role: Joining an agile, forward-thinking team, you’ll be embedded in a major programme centralising and transforming land and property data from Local Authorities across England and Wales. With a blend of More ❯

in the digital lifecycle and helping them outperform their competition through speed and innovation. Apexon brings together distinct core competencies – in AI, analytics, app development, cloud, commerce, CX, data, DevOps, IoT, mobile, quality engineering and UX, and our deep expertise in BFSI, healthcare, and life sciences – to help businesses capitalize on the unlimited opportunities digital offers. Our reputation … Everstone Capital, Apexon now has a global presence of 15 offices (and 10 delivery centers) across four continents. About the Role: We are currently looking for a Senior Data Engineer to manage teams on client projects. Your Profile: Proven experience as a Data Engineer with a focus on Azure cloud services. Experience of managing small teams … whilst also being hands-on. Strong database fundamentals including SQL/TSQL, performance and schema design. Experience architecting and building data applications using Azure, specifically a Data Warehouse and/or Data Lake. Technologies: Azure Data Factory, Azure Synapse Analytics, Azure Data Lake, Azure Databricks and Power BI. Experience with More ❯

Data Scientist/Statistician - Mid level (Market Research & Survey Data Focus) £42,500-47,500 per annum Location: Hybrid - 2 days per week in Carmarthenshire office Unify is proud to be exclusively representing a fantastic purpose-driven business who are on an incredible journey of growth. About the Role: We are looking for a self-starting … analytically sharp Data Scientist/Statistician to join our clients growing team, with a focus on survey data analysis in market research . This is a mid-level position for someone who thrives on solving problems, building robust analytical solutions, and delivering high-quality insights that inform decision-making at the highest level. In this role … projects and be part of a company operating at the cutting edge of research and technology . You'll have the opportunity not only to carry out sophisticated data analyses but also to play an active role in developing tools, processes, and products that push the boundaries of how data is used in modern research. You More ❯

Data Scientist/Statistician/Analyst - Mid level (Market Research & Survey Data Focus) £42,500-47,500 per annum Location: Hybrid - 2 days per week in Carmarthenshire office Unify is proud to be exclusively representing a fantastic purpose-driven business who are on an incredible journey of growth. About the Role: We are looking for a … self-starting, analytically sharp Data Scientist/Statistician to join our clients growing team, with a focus on survey data analysis in market research. This is a mid-level position for someone who thrives on solving problems, building robust analytical solutions, and delivering high-quality insights that inform decision-making at the highest level. In this … exciting projects and be part of a company operating at the cutting edge of research and technology. You’ll have the opportunity not only to carry out sophisticated data analyses but also to play an active role in developing tools, processes, and products that push the boundaries of how data is used in modern research. You More ❯

Business Analyst, Seller Compliance - Data Engineering & Analytics Job ID: Amazon UK Services Ltd. This role requires 1 year of experience in BA and advanced SQL skills The WW Seller Partner Trust & Compliance (SPTC) vision is to enable every brand ranging from small businesses to the large multi-national corporations to be able to thrive and grow into a … to think even bigger about the future. We are therefore looking for a highly analytical and result-oriented Business Analyst who can understand the business, process and analyze data from a variety of sources, and troubleshoot ad hoc issues, while following the team's best practices. We utilize multiple externally and internally (AWS and other) developed advanced data … real-time platforms, to help create signal out of the mountains of data. We are therefore expecting our team members to help raise the technical bar by providing data wrangling expertise, deep understanding of data fundamentals, and the eagerness and ability to quickly adapt to new tools. The ideal candidate should therefore enjoy discovering and solving More ❯

Peaple Talent has partnered with a global digital engineering consultancy who are recruiting for a Lead Data Engineer on a permanent basis based out of their Sunderland office. You will have a great understanding of technology consultancy services along with fantastic communication and stakeholder engagement skills as this role will be client facing. Skills and experience: Proven experience … as a Lead Data Engineer with a focus on Azure cloud services. Experience of managing small teams whilst also being hands-on. Strong database fundamentals including SQL/TSQL, performance and schema design. Experience architecting and building data applications using Azure, specifically a Data Warehouse and/or Data Lake. Technologies : Azure … Data Factory, Azure Synapse Analytics, Azure Data Lake, Azure Databricks and Power BI. Experience with creating low-level designs for data platform implementations. ETL pipeline development for the integration with data sources and data transformations including the creation of supplementary documentation. Proficiency in working with APIs and integrating them into More ❯

About BMLL We are the leading independent provider of harmonised Level 3 historical data and analytics to the world's most sophisticated capital market participants. BMLL offers banks, brokers, asset managers, hedge funds and global exchange groups immediate and flexible access to the most granular Level 3, T+1 order book data and advanced analytics, enabling them … or visit our or About the Role BMLL Vantage is the market leading product for visualisation of financial time-series data. Every day we consume 250GB of new data across 750,000 securities to deliver into our platform, our data services and our visual products. In Vantage users can perform in-browser visualisations of more than … 1TB of trading analytics. We are seeking a skilled Software Engineer to enhance and expand the product. This role involves building pixel-perfect, interactive, rich-feature, high-performance data visualization dashboards using React, TypeScript, and cutting-edge visualization libraries such as D3.js and Highcharts. You'll collaborate closely with the backend team, data engineers, data More ❯

world's largest and most customer-centric companies, continuously innovating to make customers' lives easier. We are seeking a Business Intelligence Engineer to join our dynamic team, driving data-driven decision-making and fostering innovation at scale. Do you want a unique, exciting opportunity to help build something from the ground up? We are looking for builders who … team of a tech organization under S&A, global partner for Ops Finance. As a Business Intelligence Engineer at Amazon, you will play a pivotal role in leveraging data to drive insights and support strategic decision-making across the organization. You will be responsible for designing and developing scalable data models, performing statistical analysis, and delivering … answer key business questions, and act as an advocate for your customers. Successful members of this team collaborate effectively with internal end-users, cross-functional product teams, and data engineering teams to solve problems, implement new solutions, and deliver successfully against high operational standards of system availability and reliability. We look for candidates who are excellent communicators, self More ❯

of technologists and analysts employ capabilities spanning traditional computing environments to Internet of Things (IoT), including offensive and defensive cyber operations and analysis, signals intelligence (SIGINT) discovery, and data science. Our team is expanding to do the big things that have never been done before - the things the nation and the world are counting on us to deliver. … Join the transformation and help us make this impact now. We are seeking talented Data Scientists at all levels to join our Intel Division team. You're required to have this Experience with software development working with Python in a Unix environment. Experience using the Unix command line. Practical knowledge in Python Machine Learning and Data Visualization Practical knowledge in Data ETL such as working with: Data loading from SQL, CSV, JSON, Excel, etc., Web scraping (Beautiful Soup, Scrapy, etc.) and Data Wrangling/Cleaning Proficiency in statistical packages using any of the following: Python, R, STATA, SPSS, etc. Bachelor's from an accredited four-year university This More ❯

designing, deploying, maintaining and refining statistical and machine learning models using Azure ML. Optimize model performance and computational efficiency. Ensure that applications run smoothly and handle large-scare data efficiently. Implement and maintain monitoring of model drifts, data-quality alerts, scheduled r-training pipelines. Collect, clean and preprocess large datasets to facilitate analysis and model training. … Implement data pipelines and ETL processes to ensure data availability and quality. Write clean, efficient and scalable code in Python. Utilize CI/CD practices for version control, testing and code review. ML Ops Engineer Skills Required: Experience in designing, building, optimising, deploying and managing business-critical machine learning models using Azure ML in Production environments. … Experience in data wrangling using Python, SQL and ADF Experience in CI/CD and DevOps/MLOps and version control Familiarity with data visualization and reporting tools, ideally PowerBI Experience in the pensions or similar regulated financial services industry Due to the volume of applications received for positions, it will not be possible to respond More ❯

designing, deploying, maintaining and refining statistical and machine learning models using Azure ML. Optimize model performance and computational efficiency. Ensure that applications run smoothly and handle large-scare data efficiently. Implement and maintain monitoring of model drifts, data-quality alerts, scheduled r-training pipelines. Collect, clean and preprocess large datasets to facilitate analysis and model training. … Implement data pipelines and ETL processes to ensure data availability and quality. Write clean, efficient and scalable code in Python. Utilize CI/CD practices for version control, testing and code review. ML Ops Engineer Skills Required: Experience in designing, building, optimising, deploying and managing business-critical machine learning models using Azure ML in Production environments. … Experience in data wrangling using Python, SQL and ADF Experience in CI/CD and DevOps/MLOps and version control Familiarity with data visualization and reporting tools, ideally PowerBI Experience in the pensions or similar regulated financial services industry Due to the volume of applications received for positions, it will not be possible to respond More ❯

This is a new position for a Data Scientist with a global, data-driven company with cutting-edge technology who leverage data to serve as a true market differentiator. The focus of this role is to deliver data science solutions which impact in areas such as the effectiveness of advertising and the … the life cycle, high-impact projects Scope and stage projects to include detailed milestones and delivery schedules. Use SQL and/or Python (JupyterNotebooks) to preparedata, perform exploratory data analysis, evaluate different modeling approaches. Engage in problem-solving, fault-finding, addressing issuesin the data or approaches as they arise. Investigate the data and make … recommendations on solutions to client’s requirements. And should have experience of: Working in a Data Scientist role in a high value commercial environment. Requirements gathering and idea generation Defining problems (and criteria for success), Data wrangling, EDA, modeling and interpreting results Providing relevant insights Advanced statistical and analytical techniques and concepts sampling methods, Regression Properties More ❯

This is a new position for a Data Scientist with a global, data-driven company with cutting-edge technology who leverage data to serve as a true market differentiator. The focus of this role is to deliver data science solutions which impact in areas such as the effectiveness of advertising and the … the life cycle, high-impact projects Scope and stage projects to include detailed milestones and delivery schedules. Use SQL and/or Python (JupyterNotebooks) to preparedata, perform exploratory data analysis, evaluate different modeling approaches. Engage in problem-solving, fault-finding, addressing issuesin the data or approaches as they arise. Investigate the data and make … recommendations on solutions to client’s requirements. And should have experience of: Working in a Data Scientist role in a high value commercial environment. Requirements gathering and idea generation Defining problems (and criteria for success), Data wrangling, EDA, modeling and interpreting results Providing relevant insights Advanced statistical and analytical techniques and concepts sampling methods, Regression Properties More ❯

Role: Data Engineer Salary: £70,000 - £75,000 WFH: Hybrid - 2 days/week in office, Central London Overview Our client is a fast-growing technology company powering personalised mobile content experiences for millions of users across the UK. With strong partnerships in place and a clear path for continued growth, they are now hiring a Data Engineer to support their next generation of products and data initiatives. Reporting to the VP of Engineering Operations, this role will focus on building scalable data systems and integrating machine learning workflows that drive real-time personalisation and business insights across a high-traffic platform. Key Responsibilities Design, build, and maintain robust data pipelines (batch and real-time)* Integrate and monitor machine learning models within live data workflows* Collaborate with Engineering, Product, and Analytics to ensure data accessibility and reliability* Optimise data infrastructure and automate manual processes* Uphold data integrity with strong validation and testing practices* Drive improvements in data delivery More ❯