passion for connecting your work directly to the customer experience, making a real and tangible impact Logical thinking and problem solving Strong communication skills StatisticalModelling and experience of applying data science into client problems What you can expect from us: We won't just meet your expectations. More ❯
Experience with and passion for connecting your work directly to the customer experience, making a real and tangible impact. Logical thinking and problem solving StatisticalModelling and experience of applying data science into client problems What you can expect from us We won't just meet your expectations. More ❯
years in data science or a related field, or a Master’s degree. Strong Python programming (essential), SQL, and linear regression/statistical modeling. Experience with web scraping, machine learning, or dashboarding is a plus. A background in finance or exposure to financial data is advantageous but not required. More ❯
data from various sources to uncover trends and insights that inform key business strategies across finance, retail, and healthcare sectors. Support decision-making : Use statistical methods and predictive models to assist clients in making data-driven decisions that improve their performance and efficiency. Create data visualisations : Design and maintain … finance, retail, or healthcare, and familiarity with sector-specific data challenges. Exposure to advanced analytics : Knowledge of machine learning techniques, predictive modeling, or advanced statistical analysis. Problem-solving approach : A proactive, solution-oriented mindset, with the ability to think critically and creatively. The Benefits: Diverse projects : Gain experience working More ❯
london, south east england, united kingdom Hybrid / WFH Options
Intellect Group
data from various sources to uncover trends and insights that inform key business strategies across finance, retail, and healthcare sectors. Support decision-making : Use statistical methods and predictive models to assist clients in making data-driven decisions that improve their performance and efficiency. Create data visualisations : Design and maintain … finance, retail, or healthcare, and familiarity with sector-specific data challenges. Exposure to advanced analytics : Knowledge of machine learning techniques, predictive modeling, or advanced statistical analysis. Problem-solving approach : A proactive, solution-oriented mindset, with the ability to think critically and creatively. The Benefits: Diverse projects : Gain experience working More ❯
teams to enhance CRM strategies and generate actionable customer profiles to improve engagement and loyalty. Requirements 1-2 years of experience in data analysis, statistical modeling, and machine learning. Proficiency with Python, and preferably Dataiku or similar platforms; with strong skills in R, or SQL. Excellent communication skills, able More ❯
london, south east england, united kingdom Hybrid / WFH Options
Freshminds
teams to enhance CRM strategies and generate actionable customer profiles to improve engagement and loyalty. Requirements 1-2 years of experience in data analysis, statistical modeling, and machine learning. Proficiency with Python, and preferably Dataiku or similar platforms; with strong skills in R, or SQL. Excellent communication skills, able More ❯
implementing quantitative trading strategies with a focus on cash equity markets. You will work closely with Portfolio Managers and quantitative traders, leveraging advanced algorithms, statistical models, and market data analysis to build and refine strategies deployed in production environments. Key Responsibilities: Develop and implement quantitative models and algorithms that More ❯
implementing quantitative trading strategies with a focus on cash equity markets. You will work closely with Portfolio Managers and quantitative traders, leveraging advanced algorithms, statistical models, and market data analysis to build and refine strategies deployed in production environments. Key Responsibilities: Develop and implement quantitative models and algorithms that More ❯
or leading an engineering team - 5+ years experience in data querying languages (e.g. SQL), scripting languages (e.g. Python) with exposure to machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience PREFERRED QUALIFICATIONS - 5+ years of full software development life cycle, including More ❯
PubSub, Dataflow) and implement APIs for high-traffic, customer-facing data products using TypeScript and serverless architectures. Collaborate with colleagues to deploy and operate statistical and machine learning models in production, ensuring reliability, scalability, and long-term maintainability. What you need to be successful Extensive experience building and scaling More ❯
business acumen to deliver insights that shape strategic decisions and operational excellence. Key Responsibilities Advanced Data Analytics and Predictive Modeling Develop and implement sophisticated statistical models and machine learning algorithms to forecast trends, predict outcomes, and identify opportunities for performance enhancement. Utilize advanced analytics techniques such as regression analysis … in a client-facing environment. Expert-level proficiency in SQL, R or Python, and BI tools (e.g., Power BI, Tableau). Strong understanding of statistical concepts and their practical applications. Demonstrated experience in managing large-scale data projects and implementing BI solutions. Excellent communication skills with the ability to More ❯
coding skills such as C++, Python and Java Hands-on experience with High Frequency Trading (HFT) and designing ultra-low-latency systems Proficiency in statisticalmodelling, time series analysis, and machine learning techniques Strong communication abilities in explaining your methodologies This is an amazing opportunity to join a More ❯
coding skills such as C++, Python and Java Hands-on experience with High Frequency Trading (HFT) and designing ultra-low-latency systems Proficiency in statisticalmodelling, time series analysis, and machine learning techniques Strong communication abilities in explaining your methodologies This is an amazing opportunity to join a More ❯
one or more of these areas: Computational social science Machine learning (research engineer/research scientist) Data Science, especially including Natural Language Processing Advanced statisticalmodelling and experimental design. Required Skills and Experience We select based on skills and experience regarding the following areas: Writing production quality code More ❯
a related field. Extensive experience as a data scientist, with a proven track record of successful projects. Strong understanding of machine learning algorithms and statistical modeling. Experience with big data technologies and cloud platforms. Excellent communication and interpersonal skills. Bonus Points: Experience in the adtech industry. Experience with natural More ❯
Consultant. Technical expertise: You have a general understanding of REST APIs (design, integration, authentication). Data & Analytics: You have experience in applying and optimizing statistical and machine learning models to solve business problems. You are familiar with the state-of-the-art data & analytics tech stack and workflow automation More ❯
forefront of new methodologies and tools in data science. You will lead the development of cutting-edge solutions, introducing advanced machine learning techniques and statistical models to address complex challenges, particularly in therapeutic and precision medicine applications. Establish and enforce data science best practices throughout the organisation. This includes More ❯
computer science, or Master's degree. Experience working as a Data Scientist. Experience with data scripting languages (e.g., SQL, Python, R, or equivalent) or statistical/mathematical software (e.g., R, SAS, Matlab, or equivalent). Experience in machine learning/statistical modeling data analysis tools and techniques, and … PhD in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science. Experience with machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance. Hands-on experience with deep learning (e.g., CNN, RNN, LSTM, Transformer). More ❯
provision. You will work closely with key business stakeholders to identify opportunities to drive value from data and lead the development of advanced analytics & modelling algorithms. You will be comfortable working independently and as part of small teams in dynamic projects across Just to develop predictive models, identify behaviour … with data protection law and that we are upholding our values and ethics in how we use data. Nature of the Role: Data Analysis & modelling Clean, preprocess, and validate behaviour and health data to ensure accuracy and reliability of analyses. Produce and present insightful analysis from multiple large data … T-SQL, SSIS, SSRS, Power BI). Experience At least five years' experience of working as a Behavioural Scientist or equivalent role, in applying statistical models and machine learning algorithms to behaviour and health-related data sets. Experience and ability to respond to business needs by identifying appropriate statisticalMore ❯
the organizations systems and processes. The team has a variety of skills and experience in technical domains such as Software development, Automation, Data-pipeline-modelling, IT project management, Data visualisation. We also pride ourselves on our close integration with non-technical/non-data teams as our success comes … GCP • Experience with Terraform • Strong Python skills • Experience with version control for data models (e.g., dbt testing frameworks, data documentation) • Demonstrated experience with data modelling concepts (dimensional modelling, star schemas) • Experience writing efficient and optimised SQL for large-scale data transformations • Understanding of data warehouse design principles and … working with large-scale spatial datasets (billions of rows) and performing geospatial at scale using BigQuery GIS or similar tools • Experience with advanced analytical modelling techniques, including statistical analysis and predictive modelling, particularly applying these to large-scale datasets to derive actionable insights • Knowledge of data governance More ❯
Tableau/Power BI. Leading by example and rolling up sleeves to get things done. Deep conceptual and technical understanding of Credit Risk, Analytics, Statistical Model deployment and use demonstrated prior analytical/first-line risk experience in the Card industry. Deep conceptual and commercial understanding of New Business More ❯
with technical, business, and operational teams. Key job responsibilities Design and develop mathematical models to optimize inventory placement and product flows. Design and develop statistical and optimization models for planning Supply Chain under uncertainty. Manage several high-impact projects simultaneously. Consult and collaborate with business and technical stakeholders across More ❯
and high-performing professionals. Exceptional communication and leadership skills, with the ability to translate complex technical ideas into actionable media strategies. Strong analytical and statistical modeling skills, with the ability to turn complex data into insightful and actionable strategies. Extensive experience in advanced analytics with a proven track record More ❯
to uncover insights and patterns. Collaborate with cross-functional teams to understand business objectives and translate them into new data products. Perform data mining, statistical analysis, and predictive modelling to drive business decisions. Build data architecture and pipelines to support data products. Build predictive models for various business … Knowledge, Skills and Experience Required Minimum of 3 years of hands-on experience in data product development. Strong understanding of data structures, algorithms, and statistical concepts. Proficiency in Python and ETL frameworks. Deep knowledge of data pipeline architectures and products such as Snowflake or similar. Experience with delivering data More ❯