week or 12 days per month in our London Office. Key Accountabilities: You will contribute to planning, execution, interpretation, validation and communication of innovative exploratory analyses and algorithms, to facilitate internal decision making. You will provide technical expertise in data science and (predictive) machine learning/AI to identify … opportunities for influencing internal decision making as well as discussions on white papers/regulatory policy. You will perform hands-on analysis of integrated data from clinical trials and the real world to generate fit-for-purpose evidence that is applied to decision making in drug development programs. Your … years experience in clinical drug development with extensive exposure to clinical trials. Strong knowledge and understanding of statistical methods such as time to event analysis, machine learning, meta-analysis, mixed effect modeling, longitudinal modeling, Bayesian methods, variable selection methods (e.g., lasso, elastic net, random forest), design of clinical More ❯
days per week or 12 days per month in our London Office. Key Accountabilities: Contribute to planning, execution, interpretation, validation, and communication of exploratory analyses and algorithms to facilitate decision-making. Provide technical expertise in data science and machine learning/AI to identify influencing opportunities and discuss white … papers/regulatory policies. Perform hands-on analysis of integrated clinical trial and real-world data to generate evidence for decision-making in drug development. Your Experience Ph.D. in data science, biostatistics, or a related quantitative field (or equivalent). Over 6 years of experience in clinical drug development … with extensive clinical trial exposure. Strong knowledge of statistical methods like time-to-event analysis, machine learning, meta-analysis, mixed-effect modeling, Bayesian methods, variable selection techniques (e.g., lasso, elastic net, random forest), and clinical trial design. Proficiency in R and Python, with experience in data visualization, exploratoryMore ❯
week or 12 days per month in our London Office. Key Accountabilities: You will contribute to planning, execution, interpretation, validation and communication of innovative exploratory analyses and algorithms, to facilitate internal decision making. You will provide technical expertise in data science and (predictive) machine learning/AI to identify … opportunities for influencing internal decision making as well as discussions on white papers/regulatory policy. You will perform hands-on analysis of integrated data from clinical trials and the real world to generate fit-for-purpose evidence that is applied to decision making in drug development programs. Your … years experience in clinical drug development with extensive exposure to clinical trials. Strong knowledge and understanding of statistical methods such as time to event analysis, machine learning, meta-analysis, mixed effect modeling, longitudinal modeling, Bayesian methods, variable selection methods (e.g., lasso, elastic net, random forest), design of clinical More ❯
week or 12 days per month in our London Office. Key Accountabilities: You will contribute to planning, execution, interpretation, validation and communication of innovative exploratory analyses and algorithms, to facilitate internal decision making. You will provide technical expertise in data science and (predictive) machine learning/AI to identify … opportunities for influencing internal decision making as well as discussions on white papers/regulatory policy. You will perform hands-on analysis of integrated data from clinical trials and the real world to generate fit-for-purpose evidence that is applied to decision making in drug development programs. Your … years experience in clinical drug development with extensive exposure to clinical trials. Strong knowledge and understanding of statistical methods such as time to event analysis, machine learning, meta-analysis, mixed effect modeling, longitudinal modeling, Bayesian methods, variable selection methods (e.g., lasso, elastic net, random forest), design of clinical More ❯
value by: Model Development & Deployment: Develop, test, deploy, and maintain machine learning models and algorithms, ensuring their scalability, robustness, and performance in production. Data Analysis & Optimization: Conduct data preprocessing, feature engineering, and exploratoryanalysis to optimize AI/ML models. Pipeline Development & Enhancement: Design, build, and enhance More ❯
organisation. You will demonstrate a high level of initiative and your ability to work independently with minimal guidance. Responsibilities Leverage data to perform intensive analysis across all areas of our business to drive product development Collaborate with CEO, Products, and Engineering teams to solve problems and identify trends and … opportunities Build partnerships with senior stakeholders across the business and actively contribute to the product's strategic direction Apply your expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how our users interact with our core products Generate ideas for … exploratoryanalysis and drive a culture of testing to shape future projects and provide recommendations for actions Evangelise data best practices across the organisation What we are looking for BS/MS qualifications in Econometrics, Macroeconomics, Computer Science, Statistics, Data Science or similar fields Hands-on experience with More ❯
Solihull, England, United Kingdom Hybrid / WFH Options
BNP Paribas Personal Finance
and continuously enhance credit risk strategies across scorecards, policy rules, pricing, limits management and affordability models to optimise risk-reward outcomes. Conduct in-depth exploratoryanalysis using diverse data sources across various client segments to identify trends, assess risk exposure and generate actionable insights. Optimise credit risk decisioning … risk analytics role, preferably within banking or financial services. Exceptional accuracy and attention to detail. Strong proficiency in SAS, SQL or Python for data analysis and modelling. Hands on experience with credit risk strategy development, credit scoring and decision analytics. Excellent problem-solving skills with the ability to translate More ❯
to build a holistic understanding of our customers, our products, and our business. You'll influence our product roadmap and product strategy through experimentation, exploratoryanalysis, and quantitative research. You'll build and automate actionable models and dashboards. You'll craft data stories and share your findings and … to solve problems and drive evidence-based decisions. Excellent SQL skills and good knowledge of statistics. Proven track record of initiating and delivering actionable analysis and insights that drives tangible impact with minimal supervision. Excellent communication skills (technical and non-technical) and a focus on driving impact. Strong growth More ❯
to build a holistic understanding of our customers, our products, and our business. You’ll influence our product roadmap and product strategy through experimentation, exploratoryanalysis, and quantitative research. You’ll build and automate actionable models and dashboards. You’ll craft data stories and share your findings and … to solve problems and drive evidence-based decisions. Excellent SQL skills and good knowledge of statistics. Proven track record of initiating and delivering actionable analysis and insights that drives tangible impact with minimal supervision. Excellent communication skills (technical and non-technical) and a focus on driving impact. Strong growth More ❯
cleaning, validation, and preparation to ensure accuracy. Support ad-hoc data requests and generate reports for business teams. Assist the Data Science team with exploratoryanalysis and data preparation. Present insights clearly to non-technical stakeholders through reports and visualisations. What you'll bring: 2+ years of experience … technical and non-technical teams. A proactive mindset, eager to take ownership of projects and grow in a fast-paced environment. Experience with spreadsheet analysis and data cleaning techniques. Preferred, but not essential, experience of working with customer data or in a customer-focused business. What you'll get More ❯
Glasgow, Scotland, United Kingdom Hybrid / WFH Options
Getronics
with cross-functional teams, including product development, marketing, and IT, to ensure continuous improvement in customer satisfaction and business performance. What to expect: Data Analysis & Insight Generation: Collect and analyse customer and business data from multiple sources, including surveys, feedback forms, CRM systems, and transactional databases. Interpret data to … and areas for improvement in the customer experience journey. Apply statistical techniques and predictive modelling to forecast customer trends and anticipate future needs. Use exploratoryanalysis to detect patterns, correlations, and anomalies in data. Data Management & Engineering: Analyse existing data structures to understand their architecture and relationship to … develop processes for data collection, extraction, cleansing, transformation, and integration to ensure high data quality and eliminate inconsistencies. Develop efficient data schemas to facilitate analysis and integration with other sources. Reporting & Visualisation: Prepare comprehensive reports and dashboards to communicate key findings and recommendations to stakeholders. Develop dynamic reports and More ❯
has visibility and impact across the full project workflow: from working with business stakeholders to help define the project, to data collation and processing, exploratoryanalysis, model selection and tuning, and implementation of production models. The successful candidate will join a team of experienced, collaborative practitioners, who are … to explain complex technical concepts to non-technical stakeholders Understanding of machine learning fundamentals, including deep learning, generative models, NLP techniques, such as sentiment analysis, and entity recognition and disambiguation. Additional Information What we offer Competitive salary and benefits package Large diversity of projects with real-world impacts on More ❯
menu pricing, fees, and promotions, ensuring customer satisfaction and partner growth. THE ROLE This role involves heavy SQL and some visualisation (Looker), focusing on exploratoryanalysis in collaboration with trading and commercial teams. You’ll be responsible for quick-turnaround projects, such as investigating sudden sales drops, performing … root cause analysis, and providing actionable recommendations. With a strong focus on problem-solving, you’ll handle conflicting priorities and build dashboards for various stakeholder groups in a fast-paced, dynamic environment. SKILLS + EXPERIENCE Strong SQL experience Data visualisation – ideally Looker but open to other tools e.g. Power More ❯
work with tech specialists, media buying practitioners, strategists, planners, and data scientists to help clients transform marketing through the application of data. Responsibilities Performing exploratoryanalysis with business and media performance data to inform both future planning (e.g. audience selection) and day-to-day digital optimisations. You'll … d expect you to be working closely (and largely independently) with the Starcom Planning and Activation teams to answer their burning questions through bespoke analysis and measurement strategies. You'll also be a pro at building interactive visualisations (dashboards) and be confident in using web analytics platforms like Google More ❯
understanding commercial performance, identifying root causes of trading issues, and shaping strategic decisions across the business. What you'll be doing: Leading deep-dive, exploratoryanalysis using SQL and Looker to understand trends and performance issues Identifying and explaining trading anomalies (e.g. unexpected sales dips) and recommending actions More ❯
Graduate Data Analysts in London. This is an exciting opportunity for individuals with a STEM degree (minimum 2:1) and a passion for data analysis to launch their careers in a fast-growing, innovative environment. As a Graduate Data Analyst, you will work with leading organisations across industries, gaining … business insights. Data Scientist: Working as a Data Scientist, you'll support quantitative research and management teams by delivering high-quality data models and exploratory analysis. You'll leverage your analytical skills to extract insights from complex datasets, build robust data pipelines, and collaborate across teams to drive data … Grayce Analyst 2:1 Undergraduate Degree: An undergraduate degree with a minimum 2:1 within a STEM field. A solid academic basis within data analysis and science through an additional MSc would be an advantage. Data Tools: Previous experience with tools such as Excel, R, SQL or Python are More ❯