product and performance datasets to uncover insights, test hypotheses, and identify features that drive business value Work on all parts of the data science workflow: from data cleaning and exploratoryanalysis to offline model benchmarking and validation Collaborate with marketers to reduce manual overhead in campaign management while improving ad efficiency and profitability Improve our ad feed infrastructure … models in production Strong Python and SQL skills, with a solid understanding of data wrangling, feature engineering and model evaluation Deep understanding of the data science process-comfortable with exploratoryanalysis, statistical testing, and model comparison techniques Experience with structured prediction problems (e.g. regression, classification, ranking) using real-world, often messy data Familiarity with advertising systems (Google Shopping More ❯
workflow, improve claims management and support better customer experiences. We also provide a fraud detection service across multiple perils and lines of business. Using intel processing, real-time fraud analysis and image forensics we help detect fraud at every stage of the claim and manage cases more effectively. Role Purpose Verisk are looking for a Data Scientist to support … International Analytics Team is a dynamic and exciting place to work: our projects are extremely varied and include developing supervised machine learning models, unsupervisedclustering type models, language modelling, network analysis and a variety of other statistical analysis methods. The successful candidate(s) will be at an early stage in their career.You will have the opportunity to play a … for claims and underwriting Support a high-performance collaborative culture. Participate in peer-review with colleagues where appropriate to learn, teach, and ultimately, produce high quality results. Execute data analysis and exploratoryanalysis (project design, processing of and cleaning of data, merging/joining disparate data sources, feature engineering, performing analyses and communicating results). Produce models More ❯
London, South East, England, United Kingdom Hybrid / WFH Options
Method Resourcing
identifying cybersecurity anomalies. Partner with product, engineering, and domain experts to translate strategic goals and customer needs into practical, scalable ML solutions. Drive model development end-to-end, from exploratoryanalysis, feature design, and prototyping to validation and deployment. Collaborate with platform and infra teams to operationalize models and ship ML-powered features into production. Continuously assess and More ❯
View more categories View less categories Discipline Maths & IT ,Data Analysis Position Type Permanent Hours Full Time Result Type Jobs Job Description Summary -Understand complex and critical business problems, formulates integrated analytical approach to mine data sources, employ statistical methods and machine learning algorithms to contribute solving unmet medical needs, discover actionable insights and automate process for reducing effort … working, requiring 3 days per 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 Experience Ph.D. in data science, biostatistics, or other quantitative field (or equivalent). More than More ❯
mathematics, statistics, or machine learning. Experience building and deploying models in Python (pandas, NumPy, scikit-learn, etc.). Comfort working with large and complex datasets, including data wrangling and exploratory analysis. Experience (or strong interest) in GPU-powered model development (e.g. using PyTorch, TensorFlow, JAX, or similar). Demonstrated ability to work independently on real-world projects. Strong communicator More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Kantar Media
mathematics, statistics, or machine learning. Experience building and deploying models in Python (pandas, NumPy, scikit-learn, etc.). Comfort working with large and complex datasets, including data wrangling and exploratory analysis. Experience (or strong interest) in GPU-powered model development (e.g. using PyTorch, TensorFlow, JAX, or similar). Demonstrated ability to work independently on real-world projects. Strong communicator More ❯
As a Lead Data Scientist, you'll drive the technical direction of our behavioural modelling work. You'll lead the development of telematics features from idea to production, including exploratoryanalysis, signal design, risk evaluation, and scalable deployment. This is a hands-on leadership role where you'll design solutions, mentor other scientists, influence architecture across systems, and More ❯
of product and business problems with a wide-range of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance and others. You will use data and analysis to identify and solve product development's biggest challenges. You will influence product strategy and investment decisions with data, be focused on impact, and collaborate with other teams. By … strategic partner. Data Scientist, Product Analytics Responsibilities Defining new opportunities for product impact Influencing product and sales to solve the most impactful market problems Apply your expertise in quantitative analysis and the presentation of data to see beyond the numbers and understand how our users interact with our growth products Work as a key member of the product team … launches in partnership with Product, Engineering, and cross-functional teams Set KPIs and goals, design and evaluate experiments, monitor key product metrics, understand root causes of changes in metrics Exploratoryanalysis to discover new opportunities: understanding ecosystems, user behaviors, and long-term trends Identifying levers to help move key metrics Minimum Qualifications Bachelor's degree in Mathematics, Statistics More ❯
partner closely with product researchers 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 recommendations across R&D and … solve problems and drive evidence-based decisions Excellent SQL skills and experience of applying analytical and statistical approaches to problem solving 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 mindset and sense of ownership. … data modeling and ETL pipelines Experience working with product teams Experience leveraging AI tools to boost efficiency and creativity across the data science workflow - from ideation and coding to analysis and communication We are a well treated bunch, with awesome benefits! If there's something important to you that's not on this list, talk to us! Competitive salary More ❯
economic progress. What you'll do Interface with subject matter experts to understand processes and their end products Source and collate data to build the Use case and perform exploratoryanalysis to validate its usability Be able to leverage Machine Learning/NLP (Natural Language processing)/LLM (Large Language Model) where appropriate Write the code to support More ❯
Growth Analyst role is embedded within product teams and drives impact end-to-end through the product development life cycle. The role requires using a mix of skills including analysis, creative product ideation, and cross-functional collaboration. Success in the role is tied directly to product goals and the team rewards results-based performance.The Growth practice was started right … program including physical and mental health and internal community and mentorship groups. Product Growth Analyst Responsibilities Drive long-term growth of Meta Inc products through a combination of data analysis, product ideation, and experimentation to optimize product experiences Use data to understand trends in user behavior and product usage to influence strategy Identify opportunities to drive growth and prioritize … members of product teams to land impact on product goals. Lead experimentation from designing tests to analyzing results in order to make launch decisions Minimum Qualifications Proficiency in quantitative analysis geared towards drawing actionable insights from complex datasets Over 3 year experience with data querying languages (e.g. SQL) Proven to effectively collaborate across variety of technical and non-technical More ❯
and transforming data from various sources. Build and maintain dashboards and reports using BI tools (Power BI). Collaborate with stakeholders to understand reporting needs and deliver actionable insights. Exploratoryanalysis and investigation Help define and enforce data quality standards and validation rules. Document data models, metrics definitions, and reporting logic. What We're Looking For: Bachelor's More ❯
and transforming data from various sources. Build and maintain dashboards and reports using BI tools (Power BI). Collaborate with stakeholders to understand reporting needs and deliver actionable insights. Exploratoryanalysis and investigation Help define and enforce data quality standards and validation rules. Document data models, metrics definitions, and reporting logic. What We're Looking For: Bachelor's More ❯
Scientist to start your career in data science within an environmental consultancy setting, gaining practical experience while developing your skills and knowledge. Role Assist with data collection, cleaning, and exploratoryanalysis using statistical software and programming languages Support development of models, visualisations, and reports to communicate insights effectively Work closely with multidisciplinary teams to integrate data science outputs More ❯
testable code, automate data transformation processes, and collaborate to build scalable, high-quality data solutions. Data Scientist: Support research and management teams by delivering high-quality data models and exploratory analysis. Extract insights from complex datasets, build data pipelines, and collaborate across teams to enhance data ecosystems. Why Grayce? We specialise in driving change and transformation for ambitious organisations. … least 6 industry-recognised qualifications during the programme. What makes a great Grayce Analyst: 2:1 Undergraduate Degree: In a STEM field, with a solid academic basis in data analysis; MSc is a plus. Data Tools: Experience with Excel, R, SQL, or Python is essential. Experience with Tableau or Power BI is advantageous. Analytical Problem Solving: Ability to spot More ❯
quality data solutions that drive 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-driven initiatives that enhance data … What makes a great Grayce Analyst? 2:1 Undergraduate Degree: An undergraduate degree with a minimum 2:1 within in 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 an essential for this role. More ❯
quality data solutions that drive 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-driven initiatives that enhance data … What makes a great Grayce Analyst? 2:1 Undergraduate Degree: An undergraduate degree with a minimum 2:1 within in 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 an essential for this role. More ❯
tracking, attribution, and platform integrations Translate business and campaign reporting needs into scalable technical specifications Use warehouse data to build automated reporting that supports planning, optimisation, and post-campaign analysis Develop and maintain SQL queries, stored procedures, and data pipelines to support reporting and analysis Collaborate with BI Managers and Insights team to ensure data consistency and integrity … anomaly detection, and troubleshooting Stay up to date with emerging data tools and technologies to identify opportunities for process improvement and innovation Assist with ad hoc data requests and exploratory analyses to support rapid decision-making Providing technical support to end-users Run internal training sessions for teams to increase their dashboard proficiency Keep the agency informed of new … conversions, reach, frequency, CTR, CPM, ROAS) Proficient in SQL, with working knowledge of BigQuery or other cloud-based databases Familiarity with Python or R for data manipulation or statistical analysis Knowledge of advertising technology, campaign tracking, and data integration tools is a plus Basic understanding of data governance and security, especially in relation to client data Collaborative and solutions More ❯
Comply with company, department and industry standards (e.g. CDISC) and processes, assess and clarify additional programming requirements at project-level, review and develop programming specifications as part of the analysis plans. Provide and implement statistical programming solutions; ensure knowledge sharing. In consultation with the Statistician, responsible for development of programming specifications of analysis datasets and pooled datasets. Ensure … timely and quality development and validation of datasets and outputs for CSRs, regulatory submissions/interactions, safety reports, publications or exploratory analyses (as required) in the assigned drug development study/project according to specifications. Responsible for quality control and audit readiness of all assigned statistical programming deliverables as well as accuracy and reliability of statistical analysis results. … contract and internal business guidance As assigned, act as subject matter expert (SME) or contribute to process improvement/non-clinical project initiatives with a focus on programming and analysis reporting procedures. Your experience: BA/BS/MS or international equivalent experience in statistics, computer science, mathematics, life sciences or related field Ideally 5+ years of work experience More ❯