analytics, decision sciences, and data engineering and infrastructure. This position is within our decision sciences practice which focuses on delivering solutions via machine learning, statisticalmodelling, and causal inference. This position is for a client-facing, project lead level role for someone who has deployed solutions that utilize … solutions that extract insights and then train them on how to manage and maintain these solutions. Typical solutions will utilize machine learning, deep learning, statistical analysis, automation, optimization, and/or data visualizations. As a Lead Decision Scientist, you will be expected to work independently on client engagements, run … successful project delivery Write production-ready code in SQL, Python, and Spark following software engineering best practices Coach team members in machine learning and statisticalmodelling techniques Who we are looking for We are looking for collaborative individuals who want to drive value, work in a fast-paced More ❯
and food & beverage industries, across the world. We build innovative solutions to support our clients to make better decisions combining various forecasting methods and statistical models, GIS and web tools to create bespoke solutions. We are always looking to do things better. We have fun and value every member … own. Your qualifications and experience You are a pro at using SQL for data manipulation (at least one of PostgreSQL, MSSQL, Google BigQuery, SparkSQL) Modelling & Statistical Analysis experience, ideally customer related Coding skills in at least one of Python, R, Scala, C, Java or JS Track record of … Parallel Computing (e.g. Apache Spark, Kubernetes, Databricks), Cloud Engineering (AWS, GCP, Azure), Spatial Query Optimisation, Data Storytelling with (Jupyter) Notebooks, Graph Computing, Microservices Architectures Modelling & Statistical Analysis experience, ideally customer related A university degree - numbers based, Computer Science or Geography Relevant industry sector knowledge ideal but not essential More ❯
/MMM capability across brands and markets ✅ Build and refine incremental testing tools for marketing measurement ✅ Mentor and develop analysts in MMM techniques and statisticalmodelling ✅ Work closely with Data, Martech, and Marketing teams to automate and scale data-driven insights ✅ Present findings across all levels—including C … agency or client-side) ✔ Strong knowledge of SQL, Python/R , and data visualization tools ( Tableau, Power BI, Looker ) ✔ Commercial experience in econometrics and statisticalmodelling for marketing analytics ✔ Ability to translate complex data into actionable business insights ✔ Passion for sports, marketing, and technology 🎯 What’s in It More ❯
Duration: 3 – 6 months Start: Now My new client is looking for a Senior or Principal Data Scientist with strong experience in machine learning, statisticalmodelling, and production-level ML systems. Must have experience building and shipping production-level ML pipelines in some cloud platform and writing production … level code, working closely with Engineers. Key Responsibilities: • Develop and deploy ML models and statistical analyses, including time series forecasting, clustering, and econometrics • Design and implement production-grade ML pipelines using modern cloud platforms (AWS, Azure, or GCP) • Write clean, maintainable Python code and performant SQL for data wrangling … Requirements: • 5+ years of hands-on experience as a Data Scientist, with a strong portfolio of real-world projects • Expertise in machine learning and statisticalmodelling techniques (time series, clustering, econometrics preferred) • Strong proficiency in Python and SQL • Comfortable working in engineering-focused teams and writing production-level More ❯
Duration: 3 – 6 months Start: Now My new client is looking for a Senior or Principal Data Scientist with strong experience in machine learning, statisticalmodelling, and production-level ML systems. Must have experience building and shipping production-level ML pipelines in some cloud platform and writing production … level code, working closely with Engineers. Key Responsibilities: • Develop and deploy ML models and statistical analyses, including time series forecasting, clustering, and econometrics • Design and implement production-grade ML pipelines using modern cloud platforms (AWS, Azure, or GCP) • Write clean, maintainable Python code and performant SQL for data wrangling … Requirements: • 5+ years of hands-on experience as a Data Scientist, with a strong portfolio of real-world projects • Expertise in machine learning and statisticalmodelling techniques (time series, clustering, econometrics preferred) • Strong proficiency in Python and SQL • Comfortable working in engineering-focused teams and writing production-level More ❯
data to build predictive models, extract meaningful insights, inform strategic decisions, and contribute to the overall success of the organisation using machine learning and statistical techniques. You will have access to the latest analytical tools and the chance to work with some of the most renowned Decision Data leaders … Access to Saga Academy, our bespoke learning platform Main Responsibilities Our Senior Data Scientist will be fully accountable for the following areas; Advanced Analytics & Modelling: Design, develop, and implement advanced machine learning algorithms and statistical models to solve complex business problems. Drive the exploration and adoption of cutting … languages such as Python and SQL. (A technical task will form part of the interview process.) Already be a credible expert in machine learning, statisticalmodelling and data analysis. Demonstrate excellent communication skills with the ability to convey complex technical concepts to both technical and non-technical stakeholders More ❯
Python and SQL to query and analyse large datasets, with expertise in libraries such as Pandas, NumPy, SciPy, Matplotlib, and Seaborn for data manipulation, statistical analysis, and visualisation. Familiarity with Monte Carlo simulations in Python and/or PyMC3 for Bayesian modelling is a plus. Familiarity with statistical confidence testing. Understanding and expertise in statisticalmodelling techniques is a plus. Strong communication, stakeholder management, and people management skills. Ability to bring structure to own and joint areas of work to rapidly drive results in a dynamic working environment. The salary We expect to pay from More ❯
Python and SQL to query and analyse large datasets, with expertise in libraries such as Pandas, NumPy, SciPy, Matplotlib, and Seaborn for data manipulation, statistical analysis, and visualisation. Familiarity with Monte Carlo simulations in Python and/or PyMC3 for Bayesian modelling is a plus. Familiarity with statistical confidence testing. Understanding and expertise in statisticalmodelling techniques is a plus. Strong communication, stakeholder management, and people management skills. Ability to bring structure to own and joint areas of work to rapidly drive results in a dynamic working environment. The salary We expect to pay from More ❯
Python and SQL to query and analyse large datasets, with expertise in libraries such as Pandas, NumPy, SciPy, Matplotlib, and Seaborn for data manipulation, statistical analysis, and visualisation. Familiarity with Monte Carlo simulations in Python and/or PyMC3 for Bayesian modelling is a plus. Familiarity with statistical confidence testing. Understanding and expertise in statisticalmodelling techniques is a plus. Strong communication, stakeholder management, and people management skills. Ability to bring structure to own and joint areas of work to rapidly drive results in a dynamic working environment. The salary We expect to pay from More ❯
Python and SQL to query and analyse large datasets, with expertise in libraries such as Pandas, NumPy, SciPy, Matplotlib, and Seaborn for data manipulation, statistical analysis, and visualisation. Familiarity with Monte Carlo simulations in Python and/or PyMC3 for Bayesian modelling is a plus. Familiarity with statistical confidence testing. Understanding and expertise in statisticalmodelling techniques is a plus. Strong communication, stakeholder management, and people management skills. Ability to bring structure to own and joint areas of work to rapidly drive results in a dynamic working environment. The salary We expect to pay from More ❯
Python and SQL to query and analyse large datasets, with expertise in libraries such as Pandas, NumPy, SciPy, Matplotlib, and Seaborn for data manipulation, statistical analysis, and visualisation. Familiarity with Monte Carlo simulations in Python and/or PyMC3 for Bayesian modelling is a plus. Familiarity with statistical confidence testing. Understanding and expertise in statisticalmodelling techniques is a plus. Strong communication, stakeholder management, and people management skills. Ability to bring structure to own and joint areas of work to rapidly drive results in a dynamic working environment. The salary We expect to pay from More ❯
data strategy frameworks, data governance, and regulatory requirements related to data privacy and security in the insurance industry. Familiarity with advanced data analytics techniques, statisticalmodelling, machine learning algorithms, and data visualization tools. Strong leadership and team management skills, with the ability to inspire and guide a team More ❯
a data science role, preferably related to credit risk or finance. You're proficient in SQL and Python. You have a strong background in statisticalmodelling, machine learning algorithms, and data mining techniques (NLP is a plus). You're passionate about leveraging AI and data to improve More ❯
and systems to extract knowledge or insights to drive the future of artificial intelligence. What you will be doing: Applying and/or developing statisticalmodelling techniques (such as deep neural networks, Bayesian models, Generative AI, Forecasting), optimization methods and other ML techniques. Converting data into practical insights. More ❯
in Computer Science, Engineering, Statistics, Mathematics or related field Extensive experience in a data engineer or BIE role with a technology company. Experience with statisticalmodelling/machine learning. Coding proficiency in at least one modern programming language (Python, Ruby, Java, etc) High attention to detail and proven More ❯
translate them into structured data problems. Capture and explore complex data sets (structured and unstructured data). Prototype models of different complexity (business analysis, statistical models, machine learning) using modern data science tools (Notebooks, Clouds). Design and implementation of machine learning models, metrics, and application of feature engineering More ❯
and coordinate larger initiatives. Good Python and SQL skills, experience with the AWS stack, Spark, Databricks and/or Snowflake desirable. Solid understanding of statisticalmodelling and machine learning algorithms, and experience deploying and managing models in production. Experience with Aviation data sets is desirable. Very good data More ❯
a data science role, preferably related to credit risk or finance. You're proficient in SQL and Python. You have a strong background in statisticalmodelling, machine learning algorithms, and data mining techniques (NLP is a plus). You're passionate about leveraging AI and data to improve More ❯
and coordinate larger initiatives. Good Python and SQL skills, experience with the AWS stack, Spark, Databricks and/or Snowflake desirable. Solid understanding of statisticalmodelling and machine learning algorithms, and experience deploying and managing models in production. Experience with Aviation data sets is desirable. Very good data More ❯
Looker. A proactive approach to problem-solving, with a bias toward action in high-energy, fast-paced environments. Experience in A/B testing, statistical modeling, and forecasting, with a demonstrated ability to translate complex findings into practical solutions. If you're passionate about leveraging data to create meaningful More ❯
Looker. A proactive approach to problem-solving, with a bias toward action in high-energy, fast-paced environments. Experience in A/B testing, statistical modeling, and forecasting, with a demonstrated ability to translate complex findings into practical solutions. If you're passionate about leveraging data to create meaningful More ❯
our data in order to bolster our scientific rigour. You will sit between both teams and should be confident working with different types of statistical analysis, process-based modelling, and sampling/stratification. Equally, you should have a good understanding of statisticalmodelling and bring a … or appropriate science/engineering field; 3+ years of experience working in a relevant field, with experience in some or all of the following: Statistical and data-sampling techniques such as regression, imputation, random forest, Monte Carlo, stratification, and/or clustering; Working with temporal and spatial data; Experience More ❯
This role sits within the Marketing Effectiveness team at Medialab, helping clients understand the true value of their media investments through advanced measurement solutions, statisticalmodelling, and integrated insights. Reporting to the Head of Marketing Effectiveness, you will lead modelling workstreams, ensure quality control, and integrate research … supporting and mentoring team members while continuing to develop your own skills alongside industry experts. Our proprietary Apollo platform automates data collection, allowing the modelling team to focus on insight generation and strategic recommendations rather than manual data processing. HOW YOU WILL MAKE AN IMPACT Lead end-to-end … Marketing Mix Modelling (MMM) projects, from model development to insights generation and data storytelling. Act as a consultant, working with client teams to ensure measurement frameworks align with their business challenges. Serve as the key point of contact for a diverse client set, developing sector expertise. Develop client presentation More ❯
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 More ❯
Economics). Proficiency in Python, with a solid understanding of Python libraries (such as NumPy, pandas, Polars, and scikit-learn) for data manipulation and statistical modeling. A minimum of 5 years experience working with Futures order book market data, with strong familiarity in other financial instruments (e.g. other derivatives More ❯
