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 ❯
london, south east england, United Kingdom Hybrid / WFH Options
MBN Solutions
/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 ❯
us on our journey and developing yourself along the way. The Actuarial Data Scientist will identify underlying trends in our insurance data using various statistical models and software. This role involves self-directed project work and collaboration with stakeholders across Pricing, Finance, and Healthcare Management. We are seeking a … and explain model improvements - Using statical technical to valid models such as SHAP and LIME. Identify Trends in Insurance Data: Use a range of statistical models and software (e.g., SAS, R, Python) to understand how member, provider, claim, demographic, and other external data link to our volumes and claim … to drive innovation. Key Skills/Qualifications needed for this role: Demonstrated expertise in a data science role, building and validating models. Skilled in statisticalmodelling, analysis and validation using tools such as Python, PowerBI etc. Experienced in handling large datasets, both structured and unstructured. Capable of identifying More ❯
equivalent experience) in Computer Science, Data Science, Mathematics, or a technical field. Proficiency in Python (or R), with hands-on experience in ML and statistical modeling. End-to-end experience with MLOps , from experimentation to deployment and monitoring. Strong grasp of ethical AI practices: model explainability, transparency, bias mitigation. More ❯
london, south east england, United Kingdom Hybrid / WFH Options
MarkJames Search
equivalent experience) in Computer Science, Data Science, Mathematics, or a technical field. Proficiency in Python (or R), with hands-on experience in ML and statistical modeling. End-to-end experience with MLOps , from experimentation to deployment and monitoring. Strong grasp of ethical AI practices: model explainability, transparency, bias mitigation. 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 ❯
Measurement Analytics team, which sits as part of the wider Marketing Analytics team. The team looks for curious and hard-working individuals, with strong statistical and analytical backgrounds, to support in devising, developing and maintaining methods and tools that use a multitude of insights to help optimize capital allocation. … skills, along with proficiency and experience in coding with R or Python You have proven experience in marketing and data analytics Good knowledge of statisticalmodelling techniques (previous experience in predictive analytics is a strong plus) Excellent analytical problem-solving skills and can-do attitude Ability to communicate 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 ❯
experience Experience with SQL; experience with Python/PySpark/R for structuring, transforming, and visualizing large data sets is a plus Knowledge of statistical and modeling techniques Strong analytical problem-solving skills and a proactive attitude Effective communication of complex concepts Strong domain knowledge, business acumen, and critical 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 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 … 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 More ❯
establishing robust governance frameworks, and embedding scalable AI and analytics solutions. Leading innovation in AI and analytics: Spearheading the development of generative AI solutions, statistical models, and data visualisations that deliver actionable insights across various industries. Delivering strategic advisory: Acting as a trusted advisor to C-level stakeholders, providing More ❯
play a critical role in developing, enhancing, and maintaining market models that drive competitive positioning and profitability. This role requires a deep understanding of statistical modeling, machine learning, and market dynamics to build models that anticipate competitor pricing strategies and inform data-driven decision-making. As a Senior Data … enhance market models to improve competitive positioning. Analyze external market trends and competitor behaviours to build predictive models that inform pricing strategy. Apply advanced statistical and machine learning techniques, including generalized linear models (GLMs), gradient boosting, and deep learning, to extract insights from large, complex datasets. Work with data … performance and conduct regular validation to ensure accuracy, robustness, and compliance with regulatory requirements. Lead innovation initiatives, including testing new data sources and advanced modelling techniques. Mentor junior data scientists and analysts, fostering a culture of technical excellence and innovation. Key Skills & Experience Strong expertise in statisticalmodellingMore ❯
performance optimization. •SQL Development Skills: Mastery of SQL, including the ability to write complex queries, stored procedures, views and perform query optimization. •Programming/Statistical Analysis Skills: Working knowledge of R or Python for analytics, data manipulation, and algorithm development. •Data Warehousing Knowledge: In-depth knowledge of data warehousing … Waterfall) and tools (e.g., JIRA, Confluence). PREFFERED QUALIFICATIONS •Minimum 1+ years of experience supporting a Financial Operations function •Experience in advanced data analytics, statistical modeling, and predictive analytics using tools such as Alteryx, Python, or R; experience with machine learning algorithms and techniques is a plus. •Experience in More ❯
performance optimization. •SQL Development Skills: Mastery of SQL, including the ability to write complex queries, stored procedures, views and perform query optimization. •Programming/Statistical Analysis Skills: Working knowledge of R or Python for analytics, data manipulation, and algorithm development. •Data Warehousing Knowledge: In-depth knowledge of data warehousing … Waterfall) and tools (e.g., JIRA, Confluence). PREFFERED QUALIFICATIONS •Minimum 1+ years of experience supporting a Financial Operations function •Experience in advanced data analytics, statistical modeling, and predictive analytics using tools such as Alteryx, Python, or R; experience with machine learning algorithms and techniques is a plus. •Experience in More ❯
standards for excellence. Reporting directly to the Director of Data, you will oversee the execution of high-impact projects, covering areas such as predictive modelling, customer lifetime value and segmentation, bidding optimisation, and advanced experimentation. You will act as a data lead for key clients, taking responsibility for technical … related projects are delivered effectively and drive meaningful results. About you: You are an experienced data scientist with a strong background in machine learning, statisticalmodelling, and optimisation techniques. You thrive in fast-paced environments and have a proven track record of delivering data-driven solutions that create … marketing analytics, including platforms like Google Ads, Meta Ads, and Google Analytics. Have worked on projects such as: Customer Lifetime Value (CLV) modelling. Propensity modelling and lead scoring. Budget allocation and bidding optimisation. Experimentation frameworks, A/B testing, causal inference, and Marketing Mix Modelling (MMM). Advanced More ❯
standards for excellence. Reporting directly to the Director of Data, you will oversee the execution of high-impact projects, covering areas such as predictive modelling, customer lifetime value and segmentation, bidding optimisation, and advanced experimentation. You will act as a data lead for key clients, taking responsibility for technical … related projects are delivered effectively and drive meaningful results. About you: You are an experienced data scientist with a strong background in machine learning, statisticalmodelling, and optimisation techniques. You thrive in fast-paced environments and have a proven track record of delivering data-driven solutions that create … marketing analytics, including platforms like Google Ads, Meta Ads, and Google Analytics. Have worked on projects such as: Customer Lifetime Value (CLV) modelling. Propensity modelling and lead scoring. Budget allocation and bidding optimisation. Experimentation frameworks, A/B testing, causal inference, and Marketing Mix Modelling (MMM). Advanced More ❯
nurturing talent and fostering a culture of innovation and inclusion. As a Senior Consultant, you will: Lead projects to deliver actionable insights using advanced statistical modeling and research integration. Drive business development , contributing to proposals and pitches. Collaborate on product development and innovate new analytical approaches. Work with diverse More ❯
will play a key role in shaping and executing the company’s data strategy, enabling more efficient and effective client service. JOB Responsibilities: Perform statistical analysis and data modeling Clean, analyze, and interpret data from multiple sources Communicate insights to both technical and non-technical audiences Ensure data quality More ❯
City Of London, England, United Kingdom Hybrid / WFH Options
Gravitas Recruitment Group (Global) Ltd
assets, and tools What we're looking for: Proven experience in a senior Data Science position (Lloyd’s/insurance preferred) Strong Python and statisticalmodelling expertise Leadership and stakeholder management experience Exposure to Azure stack: Data Factory, Synapse, Power BI, DevOps If this role is of interest More ❯
london (city of london), south east england, United Kingdom Hybrid / WFH Options
Gravitas Recruitment Group (Global) Ltd
assets, and tools What we're looking for: Proven experience in a senior Data Science position (Lloyd’s/insurance preferred) Strong Python and statisticalmodelling expertise Leadership and stakeholder management experience Exposure to Azure stack: Data Factory, Synapse, Power BI, DevOps If this role is of interest More ❯
delivering business-impactful analytics projects. Strong stakeholder management skills, with the ability to communicate complex technical ideas to non-technical audiences. Advanced knowledge of statisticalmodelling, data manipulation, and machine learning techniques. Expert-level programming skills, particularly in Python. Familiarity with Azure cloud technologies (Data Factory, SQL, Synapse More ❯
london, south east england, United Kingdom Hybrid / WFH Options
Stott and May
delivering business-impactful analytics projects. Strong stakeholder management skills, with the ability to communicate complex technical ideas to non-technical audiences. Advanced knowledge of statisticalmodelling, data manipulation, and machine learning techniques. Expert-level programming skills, particularly in Python. Familiarity with Azure cloud technologies (Data Factory, SQL, Synapse More ❯