18 of 18 Data Munging Jobs

Position: PCT Data Engineer Location: Central London Hybrid work (3 days per week onsite) Description of role and key responsibilities: Primary function of the role is to deliver high quality data engineering solutions to business and end users across Private Client Transactional and Lending teams – either directly via self-service data products, or by … working closely with the Analytics team, providing modelled data products on which they can add reporting and analytics. The candidate will be required to deliver to all stages of the data engineering process – data ingestion, transformation, data modelling and data warehousing, and build self-service data products. The … closely with our Architect, Engineering lead, Analytics team, DevOps, DBAs, and upstream Application teams in Private Client Technology Specifically, the person will: Work closely with end-users and Data Analysts to understand the business and their data requirements Carry out ad hoc data analysis and ‘data wrangling’ using Synapse Analytics and Databricks More ❯

algorithms. Lead the selection, validation, and optimization of models to discover meaningful patterns and insights, ensuring models remain relevant, reliable, and scalable. Drive continuous integration and deployment of data science solutions, optimizing performance through advanced machine learning techniques, code reviews, and best practices. 'Develop and deliver sophisticated visualizations, dashboards, and reports translate complex data into clear … actionable insights for business stakeholders. Present technical solutions to business stakeholders, using creative methods to explain complex concepts, increase understanding, and encourage solution adoption. Mentor and develop junior data scientists, fostering a culture of continuous learning, knowledge sharing, and skills development within the organization. Write clean, high-quality code, ensuring all outputs pass quality assurance checks, and contribute … to the development of novel solutions to solve complex business problems. Stay informed on industry trends, emerging tools, and techniques, applying them to improve data science practices and encourage innovation within the team. Lead strategy development for one or more data products, managing roadmaps, identifying requirements, and collaborating with business stakeholders to ensure alignment with business More ❯

algorithms. Lead the selection, validation, and optimization of models to discover meaningful patterns and insights, ensuring models remain relevant, reliable, and scalable. Drive continuous integration and deployment of data science solutions, optimizing performance through advanced machine learning techniques, code reviews, and best practices. 'Develop and deliver sophisticated visualizations, dashboards, and reports translate complex data into clear … actionable insights for business stakeholders. Present technical solutions to business stakeholders, using creative methods to explain complex concepts, increase understanding, and encourage solution adoption. Mentor and develop junior data scientists, fostering a culture of continuous learning, knowledge sharing, and skills development within the organization. Write clean, high-quality code, ensuring all outputs pass quality assurance checks, and contribute … to the development of novel solutions to solve complex business problems. Stay informed on industry trends, emerging tools, and techniques, applying them to improve data science practices and encourage innovation within the team. Lead strategy development for one or more data products, managing roadmaps, identifying requirements, and collaborating with business stakeholders to ensure alignment with business More ❯

Overview The Senior Data Scientist is responsible for developing and implementing advanced data science models, machine learning algorithms, and predictive analytics solutions to drive business insights, product innovation, and operational efficiencies at IMS. This role plays a critical part in enhancing telematics, mobility, and insurance technology solutions through data-driven decision-making, statistical analysis … and AI-driven automation. The Senior Data Scientist works closely with Product Managers, Software Engineers and other Data Scientists to ensure scalable, production-ready models that provide value to customers, insurers, and mobility partners. This position requires strong analytical skills, hands-on technical expertise, and a strategic mindset to solve complex problems using data … model performance, and real-time inference pipelines for large-scale datasets. Work on supervised, unsupervised, and reinforcement learning models to enhance decision-making. Leverage telematics, mobility, and insurance data to generate actionable insights and product improvements. Statistical Analysis and Data Modelling Conduct exploratory data analysis (EDA) to uncover trends, anomalies, and business opportunities. Ensure More ❯

Senior Data Analyst Location: Hybrid (2/3 day per week in our Heald Green office) Salary: Up to £65,000 depending on experience About My Claim Group My Claim Group is a fast-growing UK-based company helping customers navigate complex financial and insurance claims. Our success is built on trust, innovation, and data-driven … decision-making - and now we're looking to expand our analytics team to support smarter, faster business outcomes. We're on the lookout for a talented Senior Data Analyst with strong SQL skills and exposure to Snowflake. This is a fantastic opportunity to join a growing team, create meaningful insights, and influence decisions across the business. The Role … As a Senior Data Analyst, you'll be responsible for designing and delivering clear, insightful dashboards and data models that help teams across the organisation understand performance and uncover opportunities. You'll work closely with stakeholders to gather requirements, write and optimise SQL queries, and deliver visualisations that drive real-world action. This role requires someone More ❯

At TWG Group Holdings, LLC ("TWG Global"), we drive innovation and business transformation across a range of industries, including financial services, insurance, technology, media, and sports, by leveraging data and AI as core assets. Our AI-first, cloud-native approach delivers real-time intelligence and interactive business applications, empowering informed decision-making for both customers and employees. We … prioritize responsible data and AI practices, ensuring ethical standards and regulatory compliance. Our decentralized structure enables each business unit to operate autonomously, supported by a central AI Solutions Group, while strategic partnerships with leading data and AI vendors fuel game-changing efforts in marketing, operations, and product development. You will collaborate with management to advance our … data and analytics transformation, enhance productivity, and enable agile, data-driven decisions. By leveraging relationships with top tech startups and universities, you will help create competitive advantages and drive enterprise innovation. At TWG Global, your contributions will support our goal of sustained growth and superior returns, as we deliver rare value and impact across our businesses. More ❯

Data, Research & Analytics Principal Data Scientist (H/F) Job Description in French (English version at the bottom) Preferred location: Paris, France LexisNexis Risk Solutions is a global leader in technology and data analytics, tackling some of the world's most complex and meaningful challenges - from stopping cybercriminals to enabling frictionless experiences for legitimate … consumers. As a Principal Data Scientist , you will play a key role in shaping the future of our AI capabilities across multiple products within our Fraud, Identity, and Financial Crime Compliance portfolio. You will lead the ideation, research, modeling, and implementation of new AI-driven features - with a strong focus on Large Language Models (LLMs) , Generative AI , and … organizations operate safely and efficiently. You will also contribute to the company's long term AI strategy and act as a thought leader and role model within the data science teams. Operating within a global organization, you will collaborate closely with engineering labs, analytics teams, and professional services, while staying attuned to customer feedback and business priorities. A More ❯

doing, but equally through the global connections that you make, the lifelong learning that you can accomplish and the chance to make your mark. Are you our next Data Scientist at Manager level to join our Belfast Centre of Excellence ? Location: Belfast, as part of our hybrid working model. Grade: Manager Contract type: Permanent Who You Are: You … Analytics and AI solutions in large, complex organisations, with a focus on end-to-end delivery of advanced analytics and AI initiatives. You like to solve problems and data is your raw material. You architect and build solutions to issues by applying analytics and AI techniques to client data. You translate complex business problems into a roadmap of … technical tasks, utilising a variety of tools, capabilities and technologies. You are comfortable working with data of all kinds, from structured data to free text, images and video. You have built a specialist skill set and continuously seek to learn and improve. Ideally, you bring strong programming skills and can rapidly learn new programming languages. You More ❯

weeks of free, full-time training led by our expert instructors. Well equip you with the essential technical and consulting skills you need to thrive in your first data and AI role. Certification You'll earn an industry-recognised certification aligned with one of our tech partners, including Google, AWS, Snowflake, Databricks, and IBM. Digital Futures covers the … full cost of your certification. Employment Once you graduate, we'll deploy you into a data and AI role with one of our clients. Upon securing your deployment, you'll become a permanent employee of Digital Futures and begin working as a data and AI consultant one of the worlds largest investment banks. What You'll … Learn Our Frontier AI Programme provides the critical technical and professional skills needed for a successful career in data and AI. The curriculum includes: AI & Data Essentials Data Wrangling and Pipelines Large Language Models Responsible AI Engineering AI Solutions Building Agents AI & Analytics Agentic Orchestration Consultancy Skills Roles with our clients that you could More ❯

Role Overview Mercor is seeking data scientists to support one of the world's leading AI labs in building robust, high‐performance systems for next‐generation machine learning applications. In this role, you will focus on hands‐on data science tasks, such as designing experiments, gathering and preprocessing data, building and evaluating models, and … will write, review, and validate prompt‐based questions used to train AI systems. You are a good fit if you: Have over 3+ years of professional experience in data science or applied analytics. Are highly skilled in Python and Jupyter notebooks. Have experience using libraries including numpy, pandas, scipy, sympy, scikit-learn, torch, tensorflow. Have a bachelor's … degree in data science, statistics, computer science, or related field in the U.S., Canada, New Zealand, UK or Australia. Have a strong background in one or more of the following areas: exploratory data analysis and statistical inference, machine learning workflows and model evaluation, feature engineering/data preprocessing/data wrangling, or More ❯

1. Role Overview Mercor is seeking applied data science professionals to support a strategic analytics initiative with a global enterprise. This contract-based opportunity focuses on extracting insights, building statistical models, and informing business decisions through advanced data science techniques. Freelancers will translate complex datasets into actionable outcomes using tools like Python, SQL, and visualization platforms. … This short-term engagement emphasizes experimentation, modeling, and stakeholder communication — distinct from production ML engineering. 2. Key Responsibilities Translate business questions into data science problems and analytical workflows Conduct data wrangling, exploratory analysis, and hypothesis testing Develop statistical models and predictive tools for decision support Create compelling data visualizations and dashboards for business users … Present findings and recommendations to non-technical stakeholders 3. Ideal Qualifications 5+ years of applied data science or analytics experience in business settings Proficiency in Python or R (pandas, NumPy, Jupyter) and strong SQL skills Experience with data visualization tools (e.g., Tableau, Power BI) Solid understanding of statistical modeling, experimentation, and A/B testing Strong 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. Data Management and Preprocessing: Collect, clean and preprocess large datasets … to facilitate analysis and model training. Implement data pipelines and ETL processes to ensure data availability and quality. Software Development: Write clean, efficient and scalable code in Python. Utilize CI/CD practices for version control, testing and code review. Work closely with actuarial analysts, actuarial modelling team (AMT) and other colleagues in XPS to integrate … data science findings into practical advice and strategies. Stay abreast of new trends and technologies in Data Science technologies and pensions to identify opportunities for innovation. Provide training and support to other team members on using machine learning tools and understanding analytical techniques. Interpret and explain machine learning concepts and findings to other members of the More ❯

Data Analyst Nottingham (Hybrid - up to 2x Days Per Month in Office) £40,000 - £45,000 The Company This fast-growing consumer finance business is on a mission to make short-term lending more transparent, affordable, and accessible. Recently backed by a major international investor, they're scaling rapidly; tripling loan volumes in the next year and expanding … their product range. As part of this growth, they're looking for a Data Analyst to join their Marketing and Pricing team, helping drive smarter decision-making across lead generation, pricing strategy, and product development The Role You'll work closely with the Marketing and Pricing Analytics Manager to provide analytical insight that shapes customer acquisition, partner performance … and future product expansion. This is a broad and fast-paced role where you'll have the freedom to shape projects, improve data processes, and grow your technical skill set. Day-to-day, you'll be: Analysing lead generation and third-party broker performance to improve acquisition efficiency Building dashboards and automated reports to monitor marketing, sales, and More ❯

will also be looking to drive innovation in the Integration Engineer role, to improve repeatability and scalability. In this role, you will be working closely with our internal data engineering, machine learning and fraud analysis teams, being a bridge between them and our clients. Responsibilities Act as a leader in establishing and developing best practices for Integration Engineers. … Support the Director of Integrations on initiatives around data quality and integration reviews. Line manage a number of Integration Engineers, supporting and coaching them in their role. Work directly with our clients to guide them through the integration process from start to finish, understand their payment flows, and highlight relevant product features. Proactively carry out regular data quality checks and data wrangling throughout the integration process. Stay ahead in client communications to manage expectations. Collaborate with our Data Scientists, Data Engineering and Product teams to decide on the most appropriate approach for the client, based on what the client is trying to achieve. Review existing integrations, including following up More ❯

This highly regarded company takes a holistic approach to development with engineers working across the board from embedded software and high-performance low-level code through to data wrangling with Python and web-based frontends. Projects also vary from pure software to those integrating standard or custom hardware. This provides a tremendous environment in which young engineers can More ❯

C++ This highly regarded company takes a holistic approach to development with engineers working across the board from embedded software and high-performance low-level code through to data wrangling with Python and web-based frontends. Projects also vary from pure software to those integrating standard or custom hardware. This provides a tremendous environment in which young engineers More ❯

As the most trusted global leader in data-first contract lifecycle management (CLM) software, Agiloft helps organizations manage the end-to-end process of proposing, negotiating, signing, and leveraging contracts using our flexible Data-first Agreement Platform (DAP). With contract data as the foundation, customers quickly and collaboratively reach agreement and leverage contract … visibility to thrive with competitive advantage. Employing powerful, pragmatic artificial intelligence as a legal force multiplier, and robust integration capabilities as a data liberator, organizations around the world trust Agiloft's certified implementers to deliver connected, intelligent, and autonomous solutions across the entire contract lifecycle. Top analysts like Gartner, Forrester, and IDC agree, all showing Agiloft as a … contract lifecycle management (CLM) processes, reduce risk, and drive operational efficiency. Our award-winning, no-code platform provides unparalleled flexibility to manage even the most sophisticated workflows and data-driven decision-making processes. By automating and centralizing contract operations, we help our clients gain actionable insights, accelerate deal cycles, and maintain a competitive edge in the marketplace. Combining More ❯

play a key role in helping learners and professionals build deep, practical ML capability. Day-to-day, you'll: ? Deliver engaging teaching sessions covering the full ML lifecycle — data prep, model training, evaluation, deployment and monitoring at scale. ? Explain the maths behind ML models (linear algebra, calculus, probability, stats) in an accessible, engaging way. ? Support learners throughout their … expected by Ofsted, ESFA and other awarding bodies. What we're looking for You'll need to bring: Strong industry experience in end-to-end ML projects — from data wrangling and model building to deployment and monitoring. Confident teaching ability — whether you've formally taught, mentored or coached technical teams. Mathematical depth — clear understanding of the theory behind … wellbeing support. Monthly team lunches and regular social events. Laptop & full virtual setup provided. Who you are You're a passionate technologist who: Has 2+ years' experience in Data Science, Machine Learning or a similar role Loves teaching and seeing learners develop Thrives in a collaborative, innovative environment Is eager to continuously learn and improve As an industry More ❯