reduction techniques, multi-level/mixed-effect regression (linear and logistic at a minimum), and segmentation/cluster analysis. Ability to run exploratory data analysis, enjoys using creative ways of looking for patterns and nuggets hidden in the data. Deep experience working with survey data, including … wrangling, merging, cleaning, and weighting. Ideal candidate will also have worked with publicly available datasets (e.g., census or other ONS data). Strong proficiency in R or Python for data analysis and data visualisation. Nice to have The ideal candidate has experience in using More ❯
Job Title: Python Developer (Data Engineering & TDD) About the Role We're looking for a skilled Python Developer with strong experience in datawrangling and processing using Pandas and Polars , and a passion for writing clean, testable code using TDD . You'll be part of … a collaborative engineering team focused on building efficient, scalable data solutions that drive critical business insights. Key Responsibilities Design, develop, and maintain robust data processing pipelines using Python , Pandas , and Polars Apply test-driven development (TDD) practices to ensure code quality and reliability Optimize performance of … data transformations on large-scale datasets Collaborate with data scientists, analysts, and other developers to build and improve data products Contribute to architectural decisions and best practices in data engineering Maintain clear documentation and participate in code reviews Requirements Must-Have: 3+ More ❯
you'll deliver 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. Skills and Experience Essential University degree in a highly analytical discipline (data science, mathematics, quantitative finance, economics, etc.). Proficiency in statistical data modelling techniques in python. Experience with working with raw datasets and perform dataMore ❯
Care Group leaders in providing a better service for our patients. Main duties of the job The role requires the frequent extraction of data from various databases across the Trust using Standard Query Language (SQL), followed by any subsequent wrangling, analysis and presentation to users both internal and … Educated to a Degree Level (or equivalent experience in an information role) Desirable Post grad qualification (or equivalent experience) Experience Essential Experience of datawrangling and analysis, with an ability to produce aesthetically pleasing report outputs and experience of presenting interpreted results demonstrable though a degree or through … build and manage/maintain databases Work in an acute trust. Experience of using Trust information systems. Knowledge Essential Understanding of principles of data analysis and basic statistics, Ability to recognise themes and trends from complex data and interpretation of results to stakeholders. Understanding of dataMore ❯
. This role will be joining the bank as it starts a large scale cloud migration project, where you will be working alongside Data Experts, helping migrate to the cloud for the first time. You will be working in an Azure environment , and delivering data driven … insights to internal teams. The ideal person will come from a background in SQL, Data Analysis , and strong in several Azure products, further programming skills in R/Python will be beneficial. Key Duties: Supporting the Data Engineer in the building of Azure Cloud Building PowerBI … dashboards within Azure Cloud Cleaning, wrangling and summarising large and complex data sets Identifying trends and communicating insights from data Working collaboratively with other data analysts in the team and sharing knowledge Writing SQL queries Building ETLs Key Skills: Minimum intermediate SQL skills Experience More ❯
. This role will be joining the bank as it starts a large scale cloud migration project, where you will be working alongside Data Experts, helping migrate to the cloud for the first time. You will be working in an Azure environment , and delivering data driven … insights to internal teams. The ideal person will come from a background in SQL, Data Analysis , and strong in several Azure products, further programming skills in R/Python will be beneficial. Key Duties: Supporting the Data Engineer in the building of Azure Cloud Building PowerBI … dashboards within Azure Cloud Cleaning, wrangling and summarising large and complex data sets Identifying trends and communicating insights from data Working collaboratively with other data analysts in the team and sharing knowledge Writing SQL queries Building ETLs Key Skills: Minimum intermediate SQL skills Experience More ❯
Engineer/AI Engineer will play a crucial role in developing, deploying, and optimising AI-driven insights to enhance business processes and support data-driven decision-making. This is a hands-on position where you'll collaborate closely with cross-functional teams to integrate machine learning models into … machine learning models to ensure peak performance. Work closely with software development teams to integrate AI models into applications. Collect, clean, and manipulate data from multiple sources (SQL, Excel, Salesforce, etc.). Contribute to the development and maintenance of the company’s Data Lakehouse and centralised … data store. Stay up to date with the latest developments in AI, machine learning, and data engineering. We’re looking for a Machine Learning Engineer/AI Engineer with: Strong proficiency in deploying cloud-based machine learning pipelines, particularly on Google Cloud Platform (GCP) and Vertex More ❯
of business with ease. You are comfortable owning multiple projects and driving them to closure. You are technically sound in finding and wranglingdata to bring out insights. You are comfortable presenting and reporting them effectively to the Leaders of Amazon. Proficient in SQL and conversant with AWS … and develop highly available dashboards and metrics using SQL and Excel/Quicksight. Understand the requirements of stakeholders and map them with the data sources/data warehouse. Own the delivery and backup of periodic metrics and dashboards to the leadership team. Draw inferences and conclusions … and create dashboards and visualizations of processed data, identifying trends and anomalies. Execute high-priority (i.e., cross-functional, high impact) projects to improve operations performance. Perform business analysis and data queries using appropriate tools. Work closely with internal stakeholders such as business teams, engineering teams, and More ❯
always looking for curious, talented, and passionate people to join our team. Who You'll Be Leading As a Senior Engineering Manager in Data Science, you will lead a cross-functional team of engineers and machine learning engineers to build innovative machine learning services that power the next … learning engineers-providing coaching, mentoring, motivation, and technical guidance. Build high-quality, efficient and scalable services powered by our machine learning products. Integrate data science services with products and systems across our ecosystem. Lead system architecture design that reduces complexity and enables extendibility and reusability. Manage the full … ML development life cycle and tooling - from problem framing, datawrangling, and model development, to deployment, monitoring, and maintenance. Continuously improve engineering practices-balancing speed, quality, and business impact. Build effective agile practices that deliver robust solutions on time and on budget. Lead execution of project plans, delivery More ❯
and integrity. Seek continuous improvement on quality and efficiency around Group MI processes, particularly around month end activity. Ensure robust control & governance around data to ensure quality of MI. Build and maintain strong working relationships with key stakeholders across the business. Continuously seek to learn & improve capabilities through … products available or required for the MI team. Skills and experience required: You will already have relevant experience within an MI development/Data Analyst position with: The ability to produce analysis from large data sets to a high standard and on time. SQL programming/… datawrangling experience. Knowledge of Data Bricks and PowerBI (desirable). Problem solver & critical thinker. Advanced MS Office applications. Strong decision making and judgement, escalating where appropriate. We offer lots of great benefits! Some of which include: Competitive salary and annual discretionary bonus. 25 days annual More ❯
shaping the future of AI and software development. Essential 5+ years building and shipping AI and ML products, including deep experience with unstructured data such as text or code, and recent experience with LLMs. Experience evaluating the performance of models with vibes, benchmarks and in production systems. Able … to clearly present and explain results, and help define what works and what doesn't. Experience building data sets for training, evaluating or fine tuning models - both in terms of building data pipelines and in building analysis. Experience using the latest research and community best practices … Set up tooling for us to fine-tune an LLM, and define metrics to measure progress. Debate the right tooling and schema for data collection from our product, and start building out the data pipelines we need. Inspect pages of LLM outputs and work out how More ❯
work we do with our clients and to how we engage with our people. We're a modern global agency bringing together media, data, technology and talent to make brands perform. Our business is purpose driven. In March 2022, we were named Ad Age's first ever Purpose … an award-winning global community of digitally led experts, home to 1,500 talented people across 25 offices globally. Together we create unique data, technology and media solutions that enable faster and smarter problem solving within an inspired, collaborative workplace. Assembly is poised for its next chapter of … what makes people tick, brands grow, and categories shift. The role sits within Assembly's Insights & Connection team, who is responsible for developing data & insights driven media strategies. In this role, you'll work alongside Strategy Directors and Partners across a mix of client briefs, new business pitches More ❯