and Central Customer Analytic teams. There will be a steep learning curve, adding a fair amount of business skills to the individual. Key job responsibilities 1) Ability to do exploratoryanalysis: Fetch data from systems and analyze trends 2) Identify consumer segments that need to be actioned to drive adoption of Amazon Pay 3) Developing India specific customer … payments data team provides data and insights to the partner verticals so as to enable them to take decisions. BASIC QUALIFICATIONS - 3+ years relevant experience in financial/business analysis - Experience defining requirements and using data and metrics to draw business insights - Experience making business recommendations and influencing stakeholders - 3+ years of experience with Advanced SQL, advanced Excel and … Data visualization tool like Tableau, Power BI etc. - Strong acumen and relevant experience in hypothesis testing and exploratory data analysis - 5+ years of experience in B2C business across marketing analytics, consumer research, consumer loyalty functions - Ambitious individual with a strong analytic approach and bias for data based judgement, Inquisitive mindset with proven problem solving ability, and a passion More ❯
proactive operations in the customer and vehicle domains. Pricing Modelling - Develop models that forecast trends, improve decision-making, and refine pricing strategies to drive revenue growth. Business Insights and Analysis - Conduct exploratory analyses to uncover opportunities, trends, and risks, providing actionable recommendations to leadership. Data Visualization and Reporting - Build and maintain dashboards in Tableau, leveraging multiple data sets … science, or related roles Proven track record of managing technical teams and delivering impactful data-driven solutions with a commercial and customer focus. Expertise in developing predictive modelling, statistical analysis, and machine learning. A basic understanding of programming languages such as Python, R, or SQL. Hands-on experience with data visualization tools like Tableau. Strong analytical and problem-solving 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 ❯
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 ❯
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 ❯
team, you'll own the full lifecycle-from data extraction to generating insights that inform decisions. Your role will include designing tracking systems, creating visualisations, building dashboards, and conducting exploratory analyses. In this Role, you'll get to: Conduct integrated analyses of market competition, trends, and business performance to generate actionable insights that fuel growth. Identify key market trends … the ability to solve problems, uncover insights, and communicate them effectively to stakeholders. Strong SQL skills are a must, with proficiency in Tableau, Excel, BigQuery, and Hive for data analysis and visualization. Bachelor's degree or higher in a quantitative field (e.g., Statistics, Economics, Mathematics, Engineering). 5+ years of experience in data or business analysis, with a More ❯
data insights are clear and actionable for driving performance improvements Use data to provide strategic solutions that enhance how the business grows and operates as a company Communicate complex analysis and data insights to technical and non-technical stakeholders YOUR SKILLS AND EXPERIENCE Strong technical experience in SQL (specifically within Windows Functions), Snowflake, Data Visualisation and Python/R … Strong background in advanced analytics, predictive modelling and exploratoryanalysis Proven expertise in DBT and reporting Strong stakeholder management skills THE BENEFITS Up to £85,000 + bonuses + equity Hybrid London HOW TO APPLY If interested in the role please send your CV to Louiscollins@harnham.com or via the Apply Link below More ❯
data insights are clear and actionable for driving performance improvements Use data to provide strategic solutions that enhance how the business grows and operates as a company Communicate complex analysis and data insights to technical and non-technical stakeholders YOUR SKILLS AND EXPERIENCE Strong technical experience in SQL (specifically within Windows Functions), Snowflake, Data Visualisation and Python/R … Strong background in advanced analytics, predictive modelling and exploratoryanalysis Proven expertise in DBT and reporting Strong stakeholder management skills THE BENEFITS Up to £85,000 + bonuses + equity Hybrid London HOW TO APPLY If interested in the role please send your CV to Louiscollins@harnham.com or via the Apply Link below 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 ❯
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 ❯
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 ❯
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 ❯
detail-oriented, and can communicate clearly with both engineers and non-technical teams. You've worked closely with PMs and growth teams on strategic decisions. You're comfortable doing exploratoryanalysis, not just building clean pipelines. You've written deep-dive memos or built dashboards that directly informed product or GTM decisions. Our Data Stack We use a More ❯
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 … 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 trials. Strong programming skills in R and Python. Demonstrated knowledge More ❯
