outcomes, and improved operational efficiency. Working as part of a multidisciplinary Analytics & Insights team, you'll contribute to shaping a more data-driven culture-where machine learning, AI, and statisticalmodelling are leveraged to create real-world solutions with measurable impact. Your Impact As a Data Scientist, you'll : Collaborate with business leaders to identify opportunities and translate … the Microsoft technology stack - including Azure Data Factory, Synapse, Databricks, Power BI, Azure ML. Sound understanding of machine learning methods (KNN, Na ve Bayes, SVM, Decision Forests). Solid statistical and mathematical foundations (regression, distributions, linear algebra, multivariable calculus). Excellent communication skills - able to explain technical findings to both technical and non-technical audiences. A degree in Computer More ❯
are relevant to our work, they are not strict requirements: BS or MS degree in Data Science, Statistics, Computer Science, or a related field. Proven experience in machine learning, statistical modeling (5+ years) Proficiency in programming languages such as Python or R. Experience with SQL and working with large datasets. Strong expertise in designing and building robust data pipelines More ❯
which has not previously been obtainable. The Role: Data Cleaning and Preparation: Collect, clean, and prepare large media datasets from various sources (CRM, ad servers, audience panels) for analysis. Statistical Analysis: Utilise econometric techniques like regression analysis, time series modelling, and panel data analysis to identify relationships between media spend and business outcomes. Model Validation and Interpretation: Evaluate … learning to enhance model accuracy and uncover deeper insights. Your Experience and Skills: Data Science: Proficient in programming languages like Python, R, and SQL including data manipulation, data imputation, statisticalmodelling, and visualisation libraries. Econometrics Background Useful: Expertise in statistical methods like linear regression, generalised linear models, panel data analysis, and time series forecasting. Media Industry Knowledge … Understanding of media landscape, ad formats, audience measurement, and industry KPIs. Communication Skills: Ability to clearly communicate complex statistical concepts and insights to non-technical stakeholders. Business Acumen: Understanding of business objectives and ability to translate data insights into actionable strategies. Additional Skills: Marketing Mix Modelling (MMM): Build and maintain complex MMM models to assess the incremental impact More ❯
which has not previously been obtainable. The Role: Data Cleaning and Preparation: Collect, clean, and prepare large media datasets from various sources (CRM, ad servers, audience panels) for analysis. Statistical Analysis: Utilise econometric techniques like regression analysis, time series modelling, and panel data analysis to identify relationships between media spend and business outcomes. Model Validation and Interpretation: Evaluate … learning to enhance model accuracy and uncover deeper insights. Your Experience and Skills: Data Science: Proficient in programming languages like Python, R, and SQL including data manipulation, data imputation, statisticalmodelling, and visualisation libraries. Econometrics Background Useful: Expertise in statistical methods like linear regression, generalised linear models, panel data analysis, and time series forecasting. Media Industry Knowledge … Understanding of media landscape, ad formats, audience measurement, and industry KPIs. Communication Skills: Ability to clearly communicate complex statistical concepts and insights to non-technical stakeholders. Business Acumen: Understanding of business objectives and ability to translate data insights into actionable strategies. Additional Skills: Marketing Mix Modelling (MMM): Build and maintain complex MMM models to assess the incremental impact More ❯
data science within a commercial environment. Advanced proficiency in Python, SQL and large dataset processing; experience with PySpark and cloud platforms like Azure and Databricks. Strong experience in developing statistical and machine learning models for business optimisation. Ability to lead programs involving cross-functional teams (e.g., Sales, Marketing, Finance). Strong communication skills with the ability to present technical More ❯
ensuring data integrity, completeness, and real-time availability. You will establish robust monitoring and alerting mechanisms to proactively surface issues and maintain seamless operations at scale. Harness advanced analytics, statistical modeling, and AI/ML tools to extract transformative insights. Your strategic analyses will uncover root causes, influence high-stakes decisions, and inform the executive roadmap with clarity and More ❯
the opportunity of working in a growing team, and who loves sport. Responsibilities: Lead data science workstreams on client projects, managing analysts and collaborating with consultants Develop and deploy statistical models and core IP Build reusable tools to streamline analysis and visualisation Communicate insights clearly to all audiences Mentor junior team members and support capability growth Work with engineers More ❯
the opportunity of working in a growing team, and who loves sport. Responsibilities: Lead data science workstreams on client projects, managing analysts and collaborating with consultants Develop and deploy statistical models and core IP Build reusable tools to streamline analysis and visualisation Communicate insights clearly to all audiences Mentor junior team members and support capability growth Work with engineers More ❯
ML modeling, including semantic search, ranking algorithms, clustering, recommendation systems, and natural language processing (NLP), with a track record of deploying models to production. Strong skills in data analysis, statistical modeling, and computational problem-solving; ideally with a background in a quantitative field such as Statistics, Mathematics, Physics, or Computer Science. Comfortable working with large-scale data and behavioral More ❯
complex datasets and identify opportunities for automation and process improvements. Strong analytical and problem-solving skills to address real-world business challenges. Practical and outcome driven mindset. Proficiency in statisticalmodelling : Demonstrated experience in developing and deploying statistical models, with a strong understanding of various, including supervised and unsupervised learning methods. Additional knowledge of GenAI and LLMs … extract meaningful insights. Experience in data processing to enable accurate analytics as well as effective model creation Ability to handle data quality issues and outliers effectively. Solid understanding of statistical concepts and techniques for modelling. Collaborative team player : Strong interpersonal and communication skills and the ability to work collaboratively in cross-functional teams, both non-technical (domain experts) and More ❯
Collaborate with engineering, MetaSearch partners such as Google, trivago, and other key stakeholders to integrate and improve ML models that support efficient decision-making and scalability. Tackle high-impact modelling challenges, including data scarcity and dynamic auction environments, to ensure effective programmatic solutions for travel product engagement. Continuously experiment and learn to adapt strategies to emerging trends and insights … improving efficiency and outcomes. Experience and qualifications: You have 3+ years of proven experience in machine learning and statisticalmodelling, including building datasets, selecting and engineering features, and developing and optimising algorithms. You are a skilled programmer with a strong command of major machine learning languages such as Python or Scala, and have expertise in utilising statistical and machine learning libraries like Spark MLlib, scikit-learn, or PyTorch to write clear, efficient, and well-documented code. Experience with optimisation techniques, control theory, causal modelling or elasticity modelling is desirable. Prior experience in solving machine learning problems within the Marketing domain is beneficial. You are intellectually curious, eager to learn, and open to adopting new More ❯
Skills: Proficiency in data analysis tools (e.g., Excel, SQL, Python, R, Power BI, Tableau). Experience with energy management systems, utility data platforms, or smart meter data. Understanding of statisticalmodelling, regression analysis, or forecasting techniques. More ❯
applied research to production is a must - Excellent problem solving and data analysis skills and a good grasp of applied statistics. Particularly, expertise in developing or applying predictive analytics, statisticalmodelling, data mining, or machine learning algorithms, especially at scale - Strong people leadership skills to influence others, with the ability to tech-lead, understand team dynamics, retain, attract More ❯
applied research to production is a must Excellent problem solving and data analysis skills and a good grasp of applied statistics. Particularly, expertise in developing or applying predictive analytics, statisticalmodelling, data mining, or machine learning algorithms, especially at scale Strong people leadership skills to influence others, with the ability to tech-lead, understand team dynamics, retain, attract More ❯
in a clear and concise manner. Requirements: Master's or PhD degree in a quantitative field. Proven experience of large-scale data analysis and hypothesis testing. Strong proficiency in statistical analysis and predictive modeling. Proficient in Python (pandas, scipy, numpy, scikit-learn) or R (tidyverse/data.table), along with SQL. Excellent problem-solving skills and attention to detail. Strong More ❯
ML modeling, including semantic search, ranking algorithms, clustering, recommendation systems, and natural language processing (NLP), with a track record of deploying models to production. Strong skills in data analysis, statistical modeling, and computational problem-solving; ideally with a background in a quantitative field such as Statistics, Mathematics, Physics, or Computer Science. Comfortable working with large-scale data and behavioral More ❯
understand large datasets Ability to identify trends & patterns within large datasets Advanced communication skills and stakeholder management skills including working with external clients Willingness to travel Desirable Experience in statisticalmodelling, and analysis using techniques such as regression analysis, multivariate analysis, factor analysis, and clustering Experience in analysing data in payments platforms including SWIFT, ISO20022 Experience working with More ❯
channel/publisher efficacy Exposure to/familiarity with with BI/data concepts and experience building out self-service marketing data solutions Experience in SQL as well as statistical modeling platforms (Python, R, etc. ) The hiring range for this position in New York, NY & Seattle, WA is $145,500 to $195,000 per year. Santa Monica, CA is More ❯
Education: Bachelor's degree in Supply Chain Management, Operations Research, Statistics, Data Science, or a related field. Master's degree or MBA preferred. Skills Advanced proficiency in data manipulation, statistical modeling, and predictive analytics techniques, data architecture, data engineering. Experience with IBP process analysis and optimization. Expertise with leading supply chain optimization tools, ERP systems (SAP preferred), and business More ❯
top university (Cambridge, Oxford, Imperial, etc ) Previous experience in a Data Science role, ideally within a product or tech company Proficiency in Python and SQL for data manipulation and modelling Solid understanding of statisticalmodelling, A/B testing, and experimentation Experience working with data in production environments Strong collaboration and communication skills, especially cross-functionally Have More ❯
and financial institutions, plan their strategies and future investment with a reliable, consistent and complete understanding of the global landscape. Role Overview: IWSR is expanding its Forecasting, Analytics and Modelling capabilities and seeks a Data Scientist as part of its growing team of data scientists and econometricians. This team is responsible for the production of forecasts and analyticsin collaboration … and modelling. Key Responsibilities: 1. Elevate Forecasts, Analytics, and Models Ensure IWSR's forecasts, analytics, and models are market-leading in quality, relevance, and reliability Approach forecasting, analytics, and modelling challenges with rigor, adaptability, and creativity. 2.Data Analysis and Exploration Support the collection, cleansing, and analysis of data from diverse sources Identify trends, patterns, and actionable insights to drive … decision-making and solve complex business problems. 3. Statistical & Mathematical Modelling and Machine Learning/AI Support the development ofpredictive models, to forecast trends and outcomes Support the development and implementation of machine learning algorithms to address specific business challenges Collaborate with the team to deploy, run, and maintain models in a production environment Evaluate and fine-tune More ❯
ideally in a government, defence, or security environment. Strong programming skills in Python or R, including experience with libraries such as scikit-learn, TensorFlow, or PyTorch. Solid understanding of statisticalmodelling, machine learning, and data mining techniques. Experience with SQL and working with large-scale databases. Familiarity with data visualisation tools (e.g., Power BI, Tableau, or Matplotlib). More ❯
integration with language models. Technical Proficiency : Advanced proficiency in Python and experience with data manipulation and analysis libraries (Pandas, NumPy, SciPy), along with strong knowledge of machine learning algorithms, statisticalmodelling, and data mining techniques. Commercial Acumen : Deep understanding of product dynamics, market needs, and commercial considerations essential for conceptualising and executing impactful data-driven solutions. Leadership & Initiative More ❯
scalable algorithms based on state-of-the-art machine learning and neural network methodologies using distributed computing systems (CPUs, GPUs, TPUs, Cloud, etc.). Conduct rigorous data analysis and statisticalmodelling to explain and improve models. Report results clearly and efficiently, both internally and externally, verbally and in writing. Follow and communicate the latest developments in machine learning More ❯
development. Desirable Project management qualification or equivalent experience. Experience Essential Experience of linking complex data sets to derive meaningful analysis. Experience of validating and quality assuring outputs. Experience of statistical analysis of highly complex information. Experience of planning workload independently and project management skills Ability to manage complex and varying workloads whilst delivering to often tight timescales. Experience and … understanding of data quality issues (including resolution of such issues). Significant experience of databases/data modelling tools within an information environment. Experience of providing and presenting highly complex information to clinicians and senior managers. Desirable Experience of providing specialist advice on highly complex information issues Experience of using business intelligence tools to provide meaningful insight to a … range of audiences. Experience of using Microsoft Power BI and Power Automate. Experience in machine learning and statisticalmodelling, including supervised and unsupervised learning, and time-series forecasting. Disclosure and Barring Service Check This post is subject to the Rehabilitation of Offenders Act (Exceptions Order) 1975 and as such it will be necessary for a submission for Disclosure More ❯
