101 to 120 of 120 Data Cleansing Jobs in London

software. Validate and calibrate models for accuracy and reliability, implementing them to analyse healthcare interventions, policies, and strategies. Perform regression analyses of HRQoL data using R, Python or other relevant software. Utility mapping and cross-walking. Conduct comprehensive literature review, with the support of our in-house … medical writing team, and analyse clinical trial data, real-world evidence, and other health data sources to support model inputs. Perform meta-analyses. Ensure accurate data management, including cleaning, organising, and maintaining datasets. Perform cost-effectiveness and budget impact analyses, assessing More ❯

HEAD OF DATA SCIENCE UP TO £140,000 LONDON This is an exciting opportunity to join a rapidly growing fin-tech looking for a talented individual to head up their data science function and someone who can work cross functionally across the business. THE … expect to be involved in the following day-to-day: Be hands on with model development, end-to-end from pulling and cleaning data, to presenting results. Work with AI across strategy and moving into next best action modelling. Automating existing manual processes. Working closely with data engineering to support with deploying of models. Collaborate closely with the Credit and Analytics team to design and enhance a cutting-edge, data-driven lending platform aimed at delivering seamless, efficient, and responsible credit solutions at scale. YOUR SKILLS AND EXPERIENCE Strong STEM degree. Strong SQL More ❯

L&H Smart Circles and drive ongoing expansion in L&H portfolio monitoring analytics: Identify use case, define business requirements and work with data & tech team to develop new portfolio monitoring capabilities Strive for continuous enhancement in coverage, reliability and capability in portfolio monitoring tools Drive change … monitoring tools, engaging and instilling excitement across target user groups in all markets globally Define and/or build strategic linkages between distinctive data domains in order to generate new insights Enhance L&H data quality via identifying gaps in upstream operational processes, and … new tools/techniques Storytelling and ability to influence technical and non-technical stakeholders Critical thinking and problem-solving skills Analytical skills incl data transformation, cleaning, visualisation and insights generation Expert knowledge of data flow and system landscape in Valuation, Operations and/or More ❯

You will be responsible for maintaining rigorous quality control, implementing process optimizations and upskilling the team on advanced survey analytics, statistical analyses and data visualization techniques. In addition to delivering projects, you will influence our service roadmap for India, and will continuously innovate and build new processes … requests as per Operational/business goals Quality Assurance and Oversight: • Implement rigorous quality control mechanisms for all project deliverables, including survey programming, data cleaning, and data tables creation • Review and validate team members' outputs before they are submitted to stakeholders, ensuring a consistently … capabilities Service Expansion and Innovation: • Identify opportunities to expand the scope of current team's support beyond existing tasks E.g., Advanced Survey Analytics, data visualization, dashboard creation etc Stakeholder Management: • Serve as the primary point of contact for business teams and proactively manage stakeholder expectations and address More ❯

and policies. This includes Probability of Default (PD), Loss Given Default (LGD), and Exposure at Default (EAD) models. Performing exploratory and ad-hoc data analysis to generate meaningful customer or portfolio insights. Contributing to the standards, methodologies and toolsets required to perform analytic activities. Extracting, transforming, and … cleaning the data required for modelling and analysis purposes. Engaging with customer-facing Business teams to understand how our analytic outputs can support their decision making. Applicants should possess prior experience of IRB models (as a developer or validator), with a degree in a quantitative analytical discipline … an equivalent level in an alternate programming language would be considered (e.g. R, Python, Matlab). Advanced experience in extracting, transforming, and cleaning data for modelling purposes is also required. More ❯

adjustments. Perform post-trade analytics, including TCA, to continuously improve trading efficiency and execution outcomes. Manage the full lifecycle of trading systems-from data acquisition and cleaning to deployment and production support. Collaborate with researchers, engineers, and stakeholders across the business to align technical design with trading … BRING: 5+ years of software development experience in quantitative trading, with deep expertise in Java and/or Python. Proficient in Python's data science ecosystem (Pandas, NumPy, Scikit-learn), with strong debugging and analytical skills. Proven track record implementing trading algorithms and working with distributed systems More ❯

Discretionary and Systematic, Multi Billion Dollar Hedge Fund. They are looking for a Quantitative Developer to aid in the development of a quantamental data platform which delivers alternative data for their Researchers and Portfolio Managers. Role You will be responsible for: Building Data Pipelines and Infrastructure Maintaining Data Flows Cleaning and validating traditional and alternative data Working closely with several Portfolio Managers Requirements 3+ years of professional experience in Software Engineering and/or Data Engineering. Strong Python and SQL coding More ❯

Discretionary and Systematic, Multi Billion Dollar Hedge Fund. They are looking for a Quantitative Developer to aid in the development of a quantamental data platform which delivers alternative data for their Researchers and Portfolio Managers. Role You will be responsible for: Building Data Pipelines and Infrastructure Maintaining Data Flows Cleaning and validating traditional and alternative data Working closely with several Portfolio Managers Requirements 3+ years of professional experience in Software Engineering and/or Data Engineering. Strong Python and SQL coding More ❯

join the team in delivering insights, models and analysis which allow ClearScore to rapidly scale and deliver a seamless experience for our users. Data Scientists play a key role within ClearScore, driving strategy and key decision-making, which ultimately benefits our users, partners, and other teams within … the business. ClearScore has an amazing analytical community which includes Data Analysts, Scientists and Engineers. The community works collaboratively to ensure a landscape in which team members can develop their full potential and deliver maximum business impact. ClearScore is both a free credit score and report service … and analysing marketing experiments through marketing methodologies such as geo-testing, to enable us to continuously improve our campaigns and user experience Automating data gathering, cleaning and processing of large datasets to make suitable for modelling Interpreting and communicating models and analysis, combining marketing, business and external More ❯

role would be well suited to an experienced Head of Engineering with experience managing a small team and a strong knowledge of sports data services within the betting industry. Responsibilities: Develop and execute the software engineering strategy for the company Lead a multilayered internationally distributed team of … Experience in a leadership role within a software engineering environment Track record of developing and delivering Machine Learning projects Excellent knowledge of sports data services within the sports betting industry Strong problem-solving and analytical skills Excellent communication and interpersonal skills Machine learning experience: model/algorithm … selection, new model development, tuning, measurement, feature selection, data cleaning Knowledge of cloud deployment, provisioning, scaling, API programming, system robustness Expertise in many of the below technologies with familiarity with others preferred; Modern IDEs : CI/CD, automated testing, dev/beta/prod environments, experiment frameworks More ❯

re leading it. Since our beginning in Paris in 2013, we've been pioneering the future of AI with a platform that makes data actionable and accessible. With over 1,000 teammates across 25 countries and backed by a renowned set of investors, we're the architects … of Everyday AI, enabling data experts and domain experts to work together to build AI into their daily operations, from advanced analytics to Generative AI. Dataiku's mission is big: to enable all people throughout companies around the world to use data by removing … friction surrounding data access, cleaning, modeling, deployment, and more. But it's not just about technology and processes; at Dataiku, we also believe that people (including our people!) are a critical piece of the equation. Dataiku's value proposition is unique on the market as it allows More ❯

As a Tech Contractor focused on data ops, you will play a critical role in maintaining the accuracy, consistency, and integrity of our data - our organization's most valuable asset. You will be expected to perform data entry and data More ❯

operational support and enablement to sales teams and partners. Measure and improve processes across the entire revenue operations spectrum. Drive engagement, enablement and data enrichment. Deliver metrics and reporting to monitor and improve revenue operations effectiveness, including new leads, pipeline, velocity, sales productivity, and renewals. Use data … with Bitrise's Leadership Team through regular sales and business reviews. Oversee our GTM technology and processes, drive automation and process improvements. Drive data quality, through new hire training, process documentation, reporting and data cleansing. Own the commission plan and lead the process for … partnerships, ideally within the SaaS and DevOps sector in a similar value-driven business. Track record of providing insight through robust technology platforms, data, analytics, compensation systems and processes to deliver excellent revenue operations motion. Deep understanding of working in a global, multicultural organisation including managing a More ❯

ups, and task reminders. Assist sales reps in optimizing their outreach efforts to meet monthly meeting targets. Learn how to optimize lead routing, data enrichment, and scoring systems to improve MQL-to-SQL conversion rates. Assist in data cleaning, tagging, and segmentation efforts to … ensure CRM accuracy and effectiveness. Enrich prospect data with firmographics, technographics, and behavioral insights for hyper-personalized outreach. Monitor lead engagement and ensure high-intent prospects are prioritized for sales outreach. Support Account-Based Marketing (ABM) strategies by assisting in lead segmentation and personalization efforts. Assist in … diverse, remote-first environment with a collaborative and growth-focused culture. A chance to work at the intersection of sales tech, automation, and data-driven prospecting. Hands-on experience with cutting-edge sales automation tools and AI-powered insights. Continuous learning and personal development support. A competitive More ❯

We trade across a range of frequencies. You will be involved with the entire scope of the signal generation process including: Idea generation Data sourcing, cleaning, and setup Cutting-edge data modelling and statistical analysis Real-world implementation Prior experience in all of these … evaluation process. A live trading track record is not required, but you should be ready to discuss your ideas. Experience working with alternative data or large datasets is a plus. Do not submit anything that is confidential or proprietary. The best candidate will have good software skills More ❯

We trade across a range of frequencies. You will be involved with the entire scope of the signal generation process including: Idea generation Data sourcing, cleaning, and setup Cutting-edge data modelling and statistical analysis Real-world implementation Prior experience in all of these … evaluation process. A live trading track record is not required, but you should be ready to discuss your ideas. Experience working with alternative data or large datasets is a plus. Do not submit anything that is confidential or proprietary. The best candidate will have good software skills More ❯

people are involved at the right time. Improve pitch response quality to increase the conversion of opportunities. Collaborate with central resources to enhance data governance, pitch tools, processes, and systems. Develop expertise in pitching techniques, best practices, and understanding client needs. Coordinate pitching efforts across practice areas … ensuring real-time data updates in a single source of truth and driving standardisation and automation. Build relationships across the business to ensure consistent communication and alignment with best practices while maintaining brand consistency in responses. Assist with data cleaning and updates, ensuring clear … ownership and system maintenance for a single source of truth. Ensure proper management of data and pitching resources to streamline processes and improve efficiency. The Candidate: Experience in a similar role within a professional services firm. Demonstrate a proactive mindset, spotting opportunities for growth and applying strategic More ❯

flow matching, and GANs. We are also working on network optimization and audio-driven avatars. As a Research Engineer, you will work on: Data processing, cleaning, and filtering to ensure high-quality datasets for training and experimentation. Optimizing and accelerating pipelines to improve performance and efficiency. Testing … Collaborating with researchers and engineers to integrate prototypes into production pipelines. Supporting the team in deploying and scaling AI solutions. Requirements: Experience in data processing and creating efficient pipelines for large-scale datasets. Strong programming skills in Python, with expertise in frameworks like PyTorch. Knowledge of image More ❯

large-scale ML models. Build and maintain experiment tracking, monitoring, and observability systems. Collaborate with SWE and infra colleagues to build tooling for data access, cleaning, and delivery. Contribute to the internal “toolbox” enabling repeatable, scalable ML deployment across client teams. Work closely with researchers and strategy … PyTorch (or similar) environments, with experience in multi-node training and scale-up workflows. Deep understanding of ML Ops best practices : experiment tracking, data/version control, reproducibility. Ability to diagnose and tune model performance (both training and inference). Comfort navigating hybrid infrastructure : some workloads will More ❯

large-scale ML models. Build and maintain experiment tracking, monitoring, and observability systems. Collaborate with SWE and infra colleagues to build tooling for data access, cleaning, and delivery. Contribute to the internal “toolbox” enabling repeatable, scalable ML deployment across client teams. Work closely with researchers and strategy … PyTorch (or similar) environments, with experience in multi-node training and scale-up workflows. Deep understanding of ML Ops best practices : experiment tracking, data/version control, reproducibility. Ability to diagnose and tune model performance (both training and inference). Comfort navigating hybrid infrastructure : some workloads will More ❯