51 to 75 of 113 Exploratory Data Analysis Jobs in the UK

John Snow Labs is seeking a highly skilled and motivated Data Scientist to contribute to transformative initiatives within the healthcare industry. The ideal candidate will possess a strong background in developing and optimizing machine learning models, specifically within healthcare contexts. We are looking for a results-oriented individual proficient in training and fine-tuning models, building robust, production-ready … model inference pipelines, and conducting comprehensive exploratory data analysis and data enrichment. Key Responsibilities: Train, fine-tune, and enhance LLM & NLP models using the open-source Python library ecosystem. Experience with LLMs, Generative AI, and deep learning is a significant advantage. Build data science and data engineering pipelines specific to analyzing clinical data, such as extracting information from medical text or images, or integrating uncertain information from multiple medical data sources. Collaborate with our team on customer-facing projects, utilizing your expertise to create advanced machine learning, deep learning, large models, and time series forecasting pipelines tailored to address specific business needs. Ensure models are validated for issues like bias, overfitting More ❯

Salary: £35,000 - £50,000, depending on experience Location: Edinburgh, remote with occasional in-person sessio ns Reports to: Head of Data & AI Introducing hyble! Things move quickly at hyble! We're a team of passionate individuals who love what we do and are always striving for the best. If you're looking for a company that values your … suppliers. If this resonates with you, then read on to discover more about the role you could play in our journey. What you'll do As a Mid-Level Data Analyst at Hyble, you will play a critical role in our journey to leverage data for genuine product and business insights, moving significantly beyond basic commercial and performance … dashboards. You will have the unique opportunity to work with and creatively apply data from our new, integrated MS Fabric data platform, exploring rich datasets from various sources to uncover meaningful patterns and trends. Your core focus will be conducting deep-dive analysis into product usage, customer behaviour, market trends, and business performance, translating complex questions into More ❯

The role We are looking for a talented, highly analytical individual to expand our dynamic data team at Mumsnet. You will take responsibility for championing data within Mumsnet, ensuring we are capturing, analysing and using data to help us understand our 9 million users and improve our products. We consider communication skills as key to good data practice and are looking for candidates with excellent written and spoken data communication skills. You will be part of a very exciting data team that is looking to grow and develop Mumsnet to make sure we remain the number 1 place for parents online. What You'll Be Doing In the Mumsnet data team, every day … is different and exciting. We work with both web traffic and textual data and perform analyses on large and varied datasets. We ensure that everyone can find their strengths in the team while being constantly challenged to learn and engage in a variety of tasks both short requests and long term product development. As an insight analyst, we'll More ❯

Continue with Google 5 days ago Be among the first 25 applicants Join to apply for the Manager, Client Analytics role at Epsilon EMEA Overview Job Description Employer: Epsilon Data Management LLC Job Title: Manager, Client Analytics Job Requisition: 6630.5716.19 Job Location: 601 Edgewater Drive, Wakefield, MA 01880. Required to work from Company Office (Wakefield, MA) certain days per … the range will be dependent upon, but not limited to, the individual's skills, experience, qualifications, location, and applicable employment laws. Duties: Produce financial and market intelligence by querying data repositories and generating periodic reports. Devise methods for identifying data patterns and trends in available information sources. Manage analytic initiatives from conception to completion. Provide clients and key … stakeholders with actionable results and insights that help achieve business objectives. Collaborate with internal and external stakeholders to manage data logistics including data transfers. Understand data structures and business rules to enable project execution. Conduct real analysis work, such as building analytics models, performing profiling analysis and implementing ANCOVA analysis. Participate in internal meetings to More ❯

Africa : UK : London BAE Systems Digital Intelligence is home to 4,500 digital, cyber and intelligence experts. We work collaboratively across 10 countries to collect, connect and understand complex data, so that governments, nation states, armed forces and commercial businesses can unlock digital advantage in the most demanding environments. Job Title: Machine Learning Engineer Requisition ID: 121364 Location: London … work as part of an empowered, multi-disciplinary AI team whose purpose is to develop common AI propositions that will benefit a range of our customers. Working alongside a Data Scientist, AI Strategy Lead, and Delivery Management you will focus on engineering activities within our AI Strategy which is focused on: Our Customers: Elaborate user needs and measure AI … for, but be part of our much bigger National Security community that will give you the support you need to grow in your career. You will work closely with data scientists to understand data requirements, clean and organize data, and build efficient, scalable capabilities. Our unique customers have interesting, complex data. You will conduct practical AI experiments More ❯

bringing Frontier AI to the frontlines. We're always seeking talented individuals whose principles align with ours. While no specific vacancies are open now, registering your interest for the Data Scientist Talent Pool will make you among the first to hear about relevant openings in our Frontier Team as they become available. What you'll be doing: As a … Data Scientist in Frontier, you'll lead data science efforts on project teams configuring our product Frontier for clients. Each deployment involves building a computational twin, an AI-powered digital twin, which is primarily the responsibility of our data scientists to design and develop. This role involves understanding customer problems deeply to ensure technical solutions deliver value. … Core tasks include exploratory data analysis, model building, and evaluation. Additional responsibilities include: Leading within a cross-functional team working with engineers, designers, and commercial staff to deliver value. Building strong client relationships and shaping project directions. Contributing to the development of other data scientists through activity and potentially line management. Who we're looking for More ❯

so that we're able to interact and collaborate in person. In Technology, we're asking that you attend the office a minimum of 1 day per week. Our Data Environment Our Data teams are excited about the value of data within the business, powers our product decisions to improve things for our customers and enhance effective … what their primary tech stack may be. Hear from the team in our latest blogs or our case studies with Women in Tech . We are looking for talented data professionals at all levels to join the team. We value people being engaged and caring about customers, caring about the code they write and the contribution they make to … Starling, to continue changing banking for good. Responsibilities: Work closely with the Fraud Strategy and Change, Fraud Risk, and Engineering teams to identify push payment fraud trends and use data analysis to propose solutions for prevention and transaction monitoring. Perform exploratory data analyses in python of potential machine learning model features to help fight fraud. Build More ❯

so that we're able to interact and collaborate in person. In Technology, we're asking that you attend the office a minimum of 1 day per week. Our Data Environment Our Data teams are excited about the value of data within the business, powers our product decisions to improve things for our customers and enhance effective … what their primary tech stack may be. Hear from the team in our latest blogs or our case studies with Women in Tech . We are looking for talented data professionals at all levels to join the team. We value people being engaged and caring about customers, caring about the code they write and the contribution they make to … Starling, to continue changing banking for good. Responsibilities: Work closely with the Fraud Strategy and Change, Fraud Risk, and Engineering teams to identify push payment fraud trends and use data analysis to propose solutions for prevention and transaction monitoring. Perform exploratory data analyses in python of potential machine learning model features to help fight fraud. Build More ❯

to drive massive growth and value. We are now expanding globally and are looking for excellent candidates to join the next phase of our journey. The Role As a Data Engineer, you will be a key contributor to our data-driven success by designing, developing, and maintaining scalable data pipelines and architecture. You will play a crucial … role in ensuring data integrity, optimizing data storage, and collaborating with cross-functional teams to support business initiatives. Additionally, you will drive continuous improvement in data processes, promote a culture of data excellence, and provide insights to support strategic decision-making. Key Responsibilities: Design, develop, and maintain the data models used by ML Engineers, Data Analysts and Data Scientists to access data. Support data-driven decision-making by providing clean, reliable, and timely data. Ensure data integrity and quality across various data sources. Implement and maintain ELT (Extract, Load, Transform) processes using scalable data pipelines and data architecture. Collaborate with cross-functional teams to understand data requirements More ❯

Marketing IM requires an experienced lead software developer with knowledge of trading risk management (some or all of market risk, credit risk, KYC, exposure monitoring, operational risk, compliance, master data management, and regulatory reporting) with exposure to the full trade lifecycle for physical and financial trading and marketing to join our team. The Specialist IM Middle Office will serve … release procedures, architecture and quality standards. Design, develop, and maintain tools for market, credit, and operational risk management, ensuring robust functionality for: Real-time dashboards P&L attribution Scenario analysis capabilities Implement and optimize system functionalities to support regulatory obligations, control frameworks, and internal reporting needs. Develop scalable solutions for risk monitoring across physical inventories, derivative exposures, FX, and … counterparty credit. Work closely with risk management teams to gather technical requirements and ensure accurate data processing. Build and refine APIs, data pipelines, and automation tools for seamless risk analytics and reporting. Continuously enhance system performance, reliability, and security through testing and iterative improvements. Support the development and enhancement of tools and systems that facilitate sales operations analytics More ❯

Job Description We are looking for a passionate and detail-oriented Data Analyst to join our growing team. You will be responsible for collecting, processing, and analyzing data to drive strategic decisions and improve business performance. This role requires a strong analytical mindset, attention to detail, and the ability to translate data into actionable insights. KEY RESPONSIBILITIES … Collect data from primary (surveys, experiments)and secondary (databases, APIs) sources. Identify gaps or inconsistencies indata and propose solutions. Use statistical techniquesto interpret data and provide insights. Analyse trendsand patterns in data to uncover actionable insights. Build dashboards and reports using tools like … Tableau, Power BI, or Looker Collaborate with cross-functional teams to identify data needs and opportunities Communicate clearly to senior stakeholders. Perform exploratory data analysis (EDA) to identifyrelationships and anomalies. Develop and deliverdashboards, reports, and presentations using tools likeTableau, Power BI, or Excel. Create clear visualisations(charts, graphs, infographics) to convey complexdata insights. Share findings with 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 optimisation of dynamic creatives. … lead on 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 … 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 of distributions Weighting sample-based data Statistical tests proper usage Real 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 optimisation of dynamic creatives. … lead on 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 … 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 of distributions Weighting sample-based data Statistical tests proper usage Real More ❯

Social network you want to login/join with: This is a new position for a Data Scientist with a global, data-driven company that leverages cutting-edge technology to serve as a market differentiator. The focus of this role is to deliver data science solutions impacting areas such as advertising effectiveness and the optimization of dynamic … asked to: Lead high-impact projects through their lifecycle. Scope and stage projects with detailed milestones and delivery schedules. Use SQL and/or Python (Jupyter Notebooks) to prepare data, perform exploratory data analysis, and evaluate different modeling approaches. Engage in problem-solving and fault-finding, addressing data or approach issues as they arise. Investigate … data and recommend solutions based on client requirements. And should have experience of: Working as a Data Scientist in a high-value commercial environment. Gathering requirements and generating ideas. Defining problems and success criteria. Data wrangling, exploratory data analysis, modeling, and interpreting results. Applying advanced statistical and analytical techniques, including sampling methods, regression, properties More ❯

Join to apply for the Head of Data Science and AI role at Talent . Job Details This is a 12-month contract within the public sector, based in Somerset, with hybrid working (3 days onsite per week). The pay range is provided by Talent, with actual pay based on skills and experience; discuss with your recruiter for … more details. Pay and Clearance £1200 per day, inside IR35 Active SC Clearance required Role Overview Our public sector client seeks a Head of Data Science and AI to lead a team of data scientists. Responsibilities include building team capabilities, setting objectives, and ensuring successful project delivery. Skills and Experience Expertise in data science and machine learning … techniques (supervised, unsupervised, deep learning); knowledge of generative AI is desirable. Strong knowledge of statistics, applied mathematics, and scientific analysis with proven experience in delivering organizational benefits. Proficiency in exploratory data analysis and handling large datasets. Experience with Machine Learning Ops and A/B testing. Understanding of responsible and ethical AI practices. Skills in programming More ❯

Job Description Your future, as a Pricing Data Scientist at mydentist You'll be joining our IT team within our office called the Support Centre. The role is a 6 month FTC Full time hours Fully remote with occasional travel to our support centre when required (M26 1GG) Supportive and experienced team You will benefit from free onsite parking … and coffee chains - making it easy to save hundreds of pounds a year Recognition schemes including Support Centre Heroes and service awards Your future, your role As a Pricing Data Scientist, you'll be: Using data to drive insights, build models, and guide business decisions that directly impact revenue and customer value. Conducting exploratory data analysis … to shape pricing strategy. Monitoring and evaluating pricing performance and continuously refining models based on market trends and business needs. Your skills: 3+ years of hands-on experience in data science or analytics, with a focus on pricing, revenue optimisation, or similar. Strong statistical and modelling skills - regression, time series analysis, clustering, etc. Strong experimentation experience, frameworks (A More ❯

to drive massive growth and value. We are now expanding globally and are looking for excellent candidates to join the next phase of our journey. The Role As a Data Engineer, you will be a key contributor to our data-driven success by designing, developing, and maintaining scalable data pipelines and architecture. You will play a crucial … role in ensuring data integrity, optimizing data storage, and collaborating with cross-functional teams to support business initiatives. Additionally, you will drive continuous improvement in data processes, promote a culture of data excellence, and provide insights to support strategic decision-making. Key Responsibilities: Design, develop, and maintain the data models used by ML Engineers, Data Analysts, and Data Scientists to access data. Support data-driven decision-making by providing clean, reliable, and timely data. Ensure data integrity and quality across various data sources. Implement and maintain ELT (Extract, Load, Transform) processes using scalable data pipelines and data architecture. Collaborate with cross-functional teams to understand data requirements More ❯

Datavant is a data platform company and the world's leader in health data exchange. Our vision is that every healthcare decision is powered by the right data, at the right time, in the right format. Our platform is powered by the largest, most diverse health data network in the U.S., enabling data to be … UK and North American-based healthcare analytics consultancy, part of Datavant Inc., supporting organizations working in healthcare to ensure the privacy of individuals is protected through sufficient levels of data de-identification. Privacy Solutions aims to achieve high levels of privacy for individuals while maximizing data utility to allow for innovation, efficiency, and development in healthcare. Datavant requires … an enthusiastic and meticulous data scientist to join our growing team, which interrogates and assesses client information in terms of the re-identification risk to patients. A Data Scientist's main responsibilities are to process and analyze large health-related datasets and contribute to the subsequent preparation of associated reports. There will be opportunities to work on a More ❯

expertise. We'll provide the platform to succeed. Ready? It's time to do your thing. Who you'll be working with: We're looking for a hands-on Data Scientist to develop and deliver deep learning-powered features supporting insurance pricing and product innovation at Liberty Mutual. This role focuses on building robust, scalable feature pipelines-especially from … complex data sources like aerial imagery-and bringing them into production to solve real business problems. You'll work with a small, high-performing team to turn deep learning models into practical, production-ready features used across multiple insurance products. If you have experience in computer vision, scaling data science solutions, and delivering tangible business value, this is … Familiarity with MLflow for tracking experiments, managing model lifecycle, or deploying models. Experience with AWS services such as S3, EC2, SageMaker, Lambda, or similar tools for model deployment and data pipelines. Computer Vision Expertise: Practical experience or exposure to modern computer vision models and techniques such as ResNet, YOLO, Vision Transformers (ViTs), or similar. Solid understanding of image processing More ❯

gaming tournaments, leagues, events, and holistic ecosystems through our millions of players, fans, and heroes, as well as through our people and culture. Are you the Indiana Jones of data, with a passion for uncovering the hidden treasures that drive business success? We're on the lookout for a Senior Research Analyst who's experienced in the craft of … research. If you thrive on navigating the dense jungles of data and turning your discoveries into strategies that make an impact, then this is your moment to shine. Your mission, should you choose to accept it, is to dig up those golden opportunities with the precision of an archaeologist and lead them from concept to completion, leaving a trail … is a plus Analytical Rigor Proficiency in SQL and Python or R for data extraction, transformation, cleaning, and analysis; Experience conducting Exploratory Data Analysis (EDA) to identify patterns and anomalies within large datasets; Strong knowledge of statistical methods and the ability to apply them effectively, including regression, time series, non-parametric analysis, clustering, Bayesian More ❯

globally and are looking for excellent candidates to join the next phase of our journey. The Role As an Analytics Engineer, you will be a key contributor to our data-driven success by designing, developing, and maintaining scalable data pipelines and architectures. You will play a crucial role in ensuring data integrity, optimizing data storage, and … collaborating with cross-functional teams to support business initiatives. Additionally, you will drive continuous improvement in data processes, promote a culture of data excellence, and provide insights to support strategic decision-making. Key Responsibilities: Implement and maintain ELT (Extract, Load, Transform) processes using scalable data pipelines and data architecture. Collaborate with cross-functional teams to understand … data requirements and deliver effective solutions. Ensure data integrity and quality across various data sources. Support data-driven decision-making by providing clean, reliable, and timely data. Define the standards for high-quality data for Data Science and Analytics use-cases and help shape the data roadmap for the domain. Design, develop, and More ❯

build and oversee LLM-based products at Flo, which is a new and existing area of development Menstrual cycle modelling, finding patterns and regularities in symptoms, symptoms prediction, utilising data from wearable devices, and more Your Experience Must have: 6+ years of professional experience in the field of machine learning Solid understanding of classical ML algorithms Good understanding of … particularly in the context of A/B testing Familiarity with fundamental concepts of deep learning and transformer-based architectures Strong programming and algorithmic skills Experience working with big data technologies Nice to have: Strong communication and ownership skills Experience in recommendations and search, chatbot development Experience in systems design with the ability to architect and explain machine learning … pipelines Data visualisation skills Experience in the med-tech domain What you'll be doing You'll be responsible for: Exploratory data analysis Development of ML algorithms Deployment to millions of users End-to-end ownership of ML problems #LI-Hybrid #LI-LM12 Salary Range - gross per month: €6,000—€9,400 EUR Ranges may vary More ❯

/join with: BAE Systems Digital Intelligence is home to 4,500 digital, cyber and intelligence experts. We work collaboratively across 10 countries to collect, connect and understand complex data, so that governments, nation states, armed forces and commercial businesses can unlock digital advantage in the most demanding environments. Job Title: Machine Learning Engineer Requisition ID: 121659 Location: London … as part of an empowered, multi-disciplinary AI team who's purpose is to develop common AI propositions that will benefit a range of our customers. Working alongside a Data Scientist, AI Strategy Lead and Delivery Management you will focus on engineering activities within our AI Strategy which is focussed on: Our Customers: Elaborate user needs and measure AI … for, but be part of our much bigger National Security community that will give you the support you need to grow in your career. You will work closely with data scientists to understand data requirements, clean and organize data, and build efficient, scalable capabilities. Our unique customers have interesting, complex data. You will conduct practical AI experiments More ❯

alert: Create Alert BAE Systems Digital Intelligence is home to 4,500 digital, cyber and intelligence experts. We work collaboratively across 10 countries to collect, connect and understand complex data, so that governments, nation states, armed forces and commercial businesses can unlock digital advantage in the most demanding environments. Job Title: Machine Learning Engineer Requisition ID: 121659 Location: London … as part of an empowered, multi-disciplinary AI team who's purpose is to develop common AI propositions that will benefit a range of our customers. Working alongside a Data Scientist, AI Strategy Lead and Delivery Management you will focus on engineering activities within our AI Strategy which is focussed on: Our Customers: Elaborate user needs and measure AI … for, but be part of our much bigger National Security community that will give you the support you need to grow in your career. You will work closely with data scientists to understand data requirements, clean and organize data, and build efficient, scalable capabilities. Our unique customers have interesting, complex data. You will conduct practical AI experiments More ❯

Social network you want to login/join with: Senior Data Engineer – West London (office based 4 days a week) We are currently looking for a Senior Data Engineer to join an advanced analytics business who provide insights for ecommerce customers. As an organisation they have experienced amazing success over the last few years and are now rapidly … expanding. The platform they have built is trusted by some of the worlds most recognisable eCommerce brands. The Role As a Senior Data Engineer, you’ll play a key role in building and scaling the data infrastructure that powers decision-making across the business. You will design and maintain robust data pipelines, ensure high data quality … and collaborate closely with analytics, engineering, and data science teams to drive insights and innovation. Key Responsibilities * Build and maintain data models that support analytics, machine learning, and reporting needs. * Design, implement, and optimize scalable ELT processes using modern data stack technologies. * Ensure data accuracy and reliability across multiple sources and systems. * Define and promote data More ❯