robust monitoring and alerting systems to maintain data health and accuracy Define KPIs and thresholds in collaboration with technical and non-technical stakeholders Develop and productionise machine learning and statistical models (Python, PySpark) Deploy monitoring solutions on AWS infrastructure Create scalable frameworks for future monitoring needs Investigate anomalies and ensure quick resolution of issues in the data pipeline Advocate More ❯
robust monitoring and alerting systems to maintain data health and accuracy Define KPIs and thresholds in collaboration with technical and non-technical stakeholders Develop and productionise machine learning and statistical models (Python, PySpark) Deploy monitoring solutions on AWS infrastructure Create scalable frameworks for future monitoring needs Investigate anomalies and ensure quick resolution of issues in the data pipeline Advocate More ❯
and compliance strategies. Experience in Enterprise AI Design, focusing on scalable, secure, and cost-effective AI integration. Understanding of data science principles, enabling informed evaluation of machine learning and statistical models. What you'll receive from us: No matter where you may be in your career or personal life, our benefits are designed to add value and support, recognizing More ❯
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 exploratory analysis, 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, PMAX, etc.) and More ❯
range of actuarial-related areas. The Role As a Machine Learning Operations Engineer with XPS you will: Model development. Work collaboratively with actuarial analysts to develop machine learning and statistical models to predict outcomes, related to pension schemes, such as life expectancy, default risk, or investment returns. Identify appropriate machine learning algorithms and apply them to enhance predictions, automate … decision-making processes, and improve client offerings. Machine Learning Operations. Responsible for designing, deploying, maintaining and refining statistical and machine learning models using Azure ML. Optimize model performance and computational efficiency. Ensure that applications run smoothly and handle large-scare data efficiently. Implement and maintain monitoring of model drifts, data-quality alerts, scheduled r-training pipelines. Data Management and … quality. Software Development. Write clean, efficient and scalable code in Python. Utilize CI/CD practices for version control, testing and code review. Work closely with actuarial analysts, actuarial modelling team (AMT) and other colleagues in XPS to integrate data science findings into practical advice and strategies. Stay abreast of new trends and technologies in Data Science technologies and More ❯
big data" sources to generate actionable insights. Build databases and is responsible for the curation of Data, including experimental data management. Extracting knowledge, insights and predictions from data using statistical methods, machine learning and data visualization. Work with scientists to identify optimal ways to prepare, annotate, store and navigate their datasets, including data application design and improvement. Define and … Biology, Chemistry, Computer Science, Physics, etc. Relevant work experience in either an academic or industry setting. Working knowledge of cell biology and experience in large scale data analysis and statistical modeling on datasets like RNA-seq, ATAC-seq, protein network, pathways, etc. Proven track record of completed scientific projects as evidenced by publications and preprints. Strong breadth and expertise … in Statistical analysis, machine learning, data visualization, programming (Python, R, etc.), data cleaning and data manipulation. Tools: Python, R, SQL, TensorFlow, Scikit-learn, Tableau, Power BI. Ability to generate high quality ideas and be self-driven to explore. Strong experience in programming and comfortable modifying existing code-base. Experience with Python, R data cleaning and data manipulation or other More ❯
Business, Geography) Good inter-personal skills and the ability to communicate technical results to non-technical individuals Experience in presenting reports and conclusions The ability to distil conclusions from statistical outputs Good understanding of Excel Good understanding of Microsoft PowerPoint Knowledge of, and interest in, the retail sector Ideally you will also have: Exposure to and/or appreciation … of GIS software and its applications Understanding of statisticalmodelling techniques Knowledge of BI dashboard tools such as PowerBI or Tableau We are committed to creating a diverse environment and are proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, gender, gender identity or expression, sexual More ❯
Cloud Workflows, and Cloud Composer. Strong SQL development skills. Proven expertise in data modeling, ETL development, and data warehousing. Knowledge of data management fundamentals and storage principles. Familiarity with statistical models or data mining algorithms and their application to business problems. What's in it for you The salary range for this role is £45,000 - £50,000. This More ❯
best practices Command line familiarity, git, automated testing, modern software development best practices Docker, terraform, CI/CD Experience with financial data (equity securities)Experience with traditional ML/statistical models You'll have the opportunity to experience a dynamic role where no two days are the same. You will be working with a diverse group of smart, passionate More ❯
development of new offerings, and deepen our understanding of marketplace dynamics. This role involves advanced data mining and analytics, robust product and data validation, and the development of sophisticated statistical and machine learning-based methodologies. The ideal candidate will have a strong ability to independently research, develop, and maintain high-impact solutions that align Cint’s capabilities with market … and existing products, as well as to understand, analyze, explain, and predict the impact of platform algorithms on clients and partners. Define, establish, and drive the development of advanced statistical and machine learning methods, setting modeling standards and best practices. Conduct exploratory analyses to deepen insights into key metrics and trends, and lead the design and execution of A … equivalent) in Statistics, Quantitative Sciences, Data Science, Operations Research, or a related quantitative field. Strong ability to manipulate, analyze, and interpret large, complex datasets independently. Deep understanding of advanced statistical techniques and concepts (e.g., properties of distributions, hypothesis testing, parametric/non-parametric tests, survey design, sampling theory, experimental design, including multivariate testing, regression/predictive modeling, causal inference More ❯
Engineering teams to help define product direction. BASIC QUALIFICATIONS 2+ years of data scientist experience and 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience. 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance … computer science. PREFERRED QUALIFICATIONS PhD in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science. 5+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience. Hands on experience with deep learning (e.g., CNN, RNN, LSTM, Transformer). Prior experience in training More ❯
for our clients. Collaborate with cross-functional teams to develop and implement data-driven strategies. Create impactful data visualisations and presentations that clearly communicate findings to stakeholders. Conduct predictive modelling and advanced analytics to support marketing initiatives. Stay updated on industry trends and best practises to continuously enhance our data capabilities. What You Bring: Bachelor's or Master's … experience in data analysis, preferably in marketing, advertising, or public relations. Proficiency in programming languages including Python and R, along with SQL. Strong understanding of machine learning techniques and statistical modelling. Excellent communication skills with the ability to convey complex information simply and effectively. Why Join Us? Impactful Work: Contribute to exciting projects that shape the future of brand More ❯
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 and time for repeated use. To manage the implementation … science, biostatistics, or other quantitative field (or equivalent). More than 3 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 … Literacy, Data Management, Data Quality, Data Science, Data Strategy, Data Visualization, Deep Learning, Machine Learning (Ml), Machine Learning Algorithms, Master Data Management, Proteomics, Python (Programming Language), R (Programming Language), Statistical Modeling Create a job alert and receive personalised job recommendations straight to your inbox. #J-18808-Ljbffr More ❯
such as Agentic AI and AI Agents, identifying and developing high-impact use cases from POC to production. Champion best practices in experimentation, causal inference, and uplift modeling, ensuring statistical rigor in decision-making processes. Take ownership of the most complex, high-profile analytical projects, translating ambiguous questions into clear, actionable recommendations that deliver commercial and customer value. Mentor … quantitative role, with a proven track record of supporting and influencing a product organization. Technical & Modeling Expertise: Expert Level proficiency in Python and SQL. Deep, hands-on experience with statistical modeling, (quasi) experimentation, multi-arm bandit, and a wide range of machine learning techniques (e.g., Regression, Classification, Clustering). Product Acumen: Demonstrated ability to define, implement, and operationalize crucial More ❯
core of the challenge is to ideate and deliver a complete portfolio and exposure management capability that leverages Ki's data, algorithm and internal expertise. The product will use statisticalmodelling techniques, visualisation and workflows to deliver a real time view of Ki's exposure to various natural and non-natural catastrophes across the entirety of our book. … You will be expected to work with the different functions within Ki including Underwriting, Marketing, Operations, Exposure Management and Portfolio Management. You will also need to be comfortable with modelling methodologies and data structures to help make trade-offs and consider options when building the roadmap. Principal Accountabilities: Articulate longer term product direction: Set out the strategic and technical … You’ve applied both theory and practical experience to effectively deliver products, building a versatile toolkit adaptable to diverse situations. You are comfortable talking and understanding technical architecture and statistical techniques, in addition to working directly with customers on how to use the product. You have a strong track record of taking products from concept to successful outcomes, with More ❯
core of the challenge is to ideate and deliver a complete portfolio and exposure management capability that leverages Ki's data, algorithm and internal expertise. The product will use statisticalmodelling techniques, visualisation and workflows to deliver a real time view of Ki's exposure to various natural and non-natural catastrophes across the entirety of our book. … You will be expected to work with the different functions within Ki including Underwriting, Marketing, Operations, Exposure Management and Portfolio Management. You will also need to be comfortable with modelling methodologies and data structures to help make trade-offs and consider options when building the roadmap. Principal Accountabilities: Articulate longer term product direction: Set out the strategic and technical … You’ve applied both theory and practical experience to effectively deliver products, building a versatile toolkit adaptable to diverse situations. You are comfortable talking and understanding technical architecture and statistical techniques, in addition to working directly with customers on how to use the product. You have a strong track record of taking products from concept to successful outcomes, with More ❯
Be Doing: Work closely with fellow data scientists to explore how AI/ML can unlock insights and improve decision-making. Perform advanced analysis on large, complex datasets using statistical and modelling techniques. Build, test, and tune ML models (especially NLP or computer vision) using Python and modern ML libraries, all within Google Cloud Platform (GCP) . Optimise More ❯
Be Doing: Work closely with fellow data scientists to explore how AI/ML can unlock insights and improve decision-making. Perform advanced analysis on large, complex datasets using statistical and modelling techniques. Build, test, and tune ML models (especially NLP or computer vision) using Python and modern ML libraries, all within Google Cloud Platform (GCP) . Optimise More ❯
success across multiple geographies. THE ROLE Driving the development of a wide range of credit risk and pricing strategies across the lending book, specifically for the German market Using statistical models and wider analytical tools to drive insight into book performance Wider work on customer analytics and behavioural trends, including work on acquisition and underwriting Close stakeholder interaction and More ❯
success across multiple geographies. THE ROLE Driving the development of a wide range of credit risk and pricing strategies across the lending book, specifically for the German market Using statistical models and wider analytical tools to drive insight into book performance Wider work on customer analytics and behavioural trends, including work on acquisition and underwriting Close stakeholder interaction and More ❯
estate firms understand and act on physical climate risk. You’ll define the ML strategy, shape a high-impact team, and deliver real-world innovation across generative AI, geospatial modelling, and time-series forecasting. Key Responsibilities Own and evolve the company’s AI & ML strategy in line with product and customer priorities Lead, mentor, and grow a high-performing … team of ML Engineers Take prototypes through to production, delivering meaningful product features powered by GenAI and predictive modelling Collaborate with Science and Engineering to integrate ML with physics-based climate models Communicate complex technical concepts in simple, outcome-oriented terms for customers and cross-functional teams Your work will focus on delivering high-value insights and solutions, including … Leveraging satellite imagery and remote sensing for climate hazard detection Enhancing time-series forecasts to inform asset-level risk planning Combining simulation outputs with ML for hybrid physical + statisticalmodelling What We’re Looking For Proven leadership and strong hands on experience Proven track record of deploying ML into production environments Depth in at least one of More ❯
estate firms understand and act on physical climate risk. You’ll define the ML strategy, shape a high-impact team, and deliver real-world innovation across generative AI, geospatial modelling, and time-series forecasting. Key Responsibilities Own and evolve the company’s AI & ML strategy in line with product and customer priorities Lead, mentor, and grow a high-performing … team of ML Engineers Take prototypes through to production, delivering meaningful product features powered by GenAI and predictive modelling Collaborate with Science and Engineering to integrate ML with physics-based climate models Communicate complex technical concepts in simple, outcome-oriented terms for customers and cross-functional teams Your work will focus on delivering high-value insights and solutions, including … Leveraging satellite imagery and remote sensing for climate hazard detection Enhancing time-series forecasts to inform asset-level risk planning Combining simulation outputs with ML for hybrid physical + statisticalmodelling What We’re Looking For Proven leadership and strong hands on experience Proven track record of deploying ML into production environments Depth in at least one of More ❯
we strive for independent decision-making and taking smart risks.Data Scientist's day-to-day activities will include, but not be limited to:- Perform diagnostic analyses, including ML/statistical modeling and causal inference analyses, to quantify the lift of marketing campaigns.- Analyze marketing campaign performance across channels using sophisticated statistical and econometrics models to derive actionable insights. … with marketers and business partners to define hypotheses and success metrics.- Design and run experiments (A/B, multivariate) to evaluate new product features and marketing strategies, and use statistical methods to ensure valid and reliable results.- Supervise experiment performance, conduct interim analyses, and communicate findings clearly to technical and non-technical audiences.- Build data/model pipelines to … in marketing, advertising, or customer analytics Data handling: Fluency with SQL queries in large and complex fragmented datasets and relational databases. Statistics: Expertise in causal inference modeling and advanced statistical/econometrics models, including regression and time series modeling. Degree in Analytics, Data Science, Marketing or similar More ❯
Data analysts collect insights from data to help businesses make decisions with regards to Customer Knowledge and Operational Efficiency. The data analyst provides efficient data modeling tools and advanced statistical models. What You'll Do: Data modeling: The data analyst supports the business analyst team and help them to structure the data sets with SQL Data analysis: The central … data to find trends or patterns. Through this interpretation process, data analysts can produce actionable insights to help organizations achieve their goals. He also supports business analyst with advanced statistical models. Data visualization: The data analyst turns their insights into visualizations that make abstract findings real for stakeholders. KPIs definition and implementation: The data analyst defines the performance KPIs … in Business, Data Analytics, Computer Science, Information Systems, or a related field Ability to communicate fluently in English Experience with SQL required Knowledge of data warehousing concepts and data modelling Experience of using Salesforce CRM system an advantage Good oral and written communication skills Intellectual curiosity and analytical skills Where You'll Work: London, UK. The Eutelsat Group treats More ❯
model improvements, uncover key insights, and shape the future of our products, including the state-of-the-art Ultralytics YOLO models and Ultralytics HUB. Key responsibilities include: Performing deep statistical analysis on model performance across various benchmarks and datasets to identify areas for improvement. Designing and implementing advanced data augmentation strategies to enhance model robustness and generalization. Analyzing user … to stakeholders. Automating data analysis and reporting workflows using Python scripting and CI/CD tools like GitHub Actions. Staying current with the latest research in deep learning and statistical analysis to drive innovation. Your analytical rigor will be critical to advancing Ultralytics' mission to make AI easy and accessible for everyone. 🛠️ Skills and Experience 5+ years of experience … Python and extensive experience with data science libraries such as Pandas, NumPy, and Scikit-learn. Deep hands-on experience with deep learning frameworks, particularly PyTorch . Proven experience with statistical analysis , hypothesis testing, and data visualization techniques. Familiarity with computer vision tasks and concepts, with direct experience working with YOLO models being a major plus. Experience with large-scale More ❯
