101 to 125 of 198 Remote Predictive Modelling Jobs

techniques (e.g., lasso, elastic net, random forest), and clinical trial design. Proficiency in R and Python, with experience in data visualization, exploratory analysis, and predictive modeling. Excellent communication skills, both verbal and written. Ability to develop and deliver clear presentations for decision-making in internal and external settings. Why More ❯

Plotly). Experience in behavioural analytics software (Google Analytics or similar) Experience in Python, R, or advanced statistical analysis (e.g., A/B testing, predictive modeling, statistical significance). Proven track record of mentoring and coaching junior analysts, acting as a subject matter expert in business analytics. WHO WE More ❯

. Experience in behavioural analytics software (Google Analytics or similar). Experience in Python, R, or advanced statistical analysis (e.g., A/B testing, predictive modeling, statistical significance). Proven track record of mentoring and coaching junior analysts, acting as a subject matter expert in business analytics. WHO WE More ❯

initiatives. Collect, clean, and analyze large datasets of scientific content and related information from various sources, ensuring data quality and integrity. Build and test predictive models and machine learning algorithms for tasks such as entity extraction, workflow automation, and enhancing the understanding of scientific content. Visualize and present findings More ❯

statistical expertise (e.g. confidence intervals, regression modeling, significance testing), including demonstrated experience with common machine learning techniques for deep data mining and exploration (e.g. predictive modeling, time series modeling, classification, and clustering techniques). Deep care about the details and high-quality instrumentation that lead to high-quality, impactful More ❯

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 interactive dashboards and … working with clients in 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 More ❯

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 interactive dashboards and … working with clients in 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 More ❯

improvement. Develop and maintain dashboards and reports to monitor key metrics such as engagement, retention, churn, and feature adoption. Use segmentation, cohort analysis, and predictive modelling to uncover insights into the full customer journey. Collaborate with data engineering to ensure data integrity and accuracy. Support A/B More ❯

analytical requirements of the Force. Translates these requirements into effective data models, marts and structures that will support the production of the Forces' analytics, predictive modelling and reporting capabilities. Provides expert input into the adoption and application of appropriate analytical techniques to create information which supports Force in More ❯

using data visualization tools. Collaborate with business stakeholders to identify trends, patterns, and improvement opportunities. Utilize statistical methods to analyze data sets and generate predictive models. Ensure data accuracy, integrity, and compliance with relevant policies. Automate data processing and reporting tasks for efficiency. Communicate findings and recommendations effectively to … clear and actionable insights. Knowledge of data governance and data quality principles. Strong communication and presentation skills. Preferred Qualifications: Experience with machine learning and predictive analytics. Knowledge of cloud-based data platforms such as AWS, Azure, or Google Cloud. Familiarity with data warehousing and ETL processes. Experience in a More ❯

with machine learning (ML) and AI frameworks, particularly within Databricks (e.g., MLflow, AutoML, or PyTorch/TensorFlow). Understanding of AI-driven analytics and predictive modeling to enhance BI solutions. Think you can make a difference? WE ARE your future. More details: Full time, permanent role Competitive salary Hybrid More ❯

In Silico methods as the basis of reducing overall development effort. How you will contribute: Support the build & deployment of industry-leading in silico predictive models (both statistical & first principle) to support full integration of platform performance workflows to advance pipeline programs which fulfill In-Silico initiative deliverables. Support More ❯

+ benefits 🏠 Location: Hybrid, London HQ 🧩 Interview process: 3 stages 📢 Reporting to: Head of Data & Analytics 👏 Company size: ~1000 (~40 in data) 🎯 Working on: Predictive Modelling Revenue Forecasting/FinOps Demand Forecasting Churn You'll be taking your insights and using them to shift business strategy, working closely … only in the data team but across the business! We're looking for: Extensive experience in data science, with a strong background in building predictive models and analytics solutions. Experience working in a fast-paced or scaling-business Expertise in statistical analysis, machine learning, and data-driven decision-making More ❯

+ benefits 🏠 Location: Hybrid, London HQ 🧩 Interview process: 3 stages 📢 Reporting to: Head of Data & Analytics 👏 Company size: ~1000 (~40 in data) 🎯 Working on: Predictive Modelling Revenue Forecasting/FinOps Demand Forecasting Churn You'll be taking your insights and using them to shift business strategy, working closely … only in the data team but across the business! We're looking for: Extensive experience in data science, with a strong background in building predictive models and analytics solutions. Experience working in a fast-paced or scaling-business Expertise in statistical analysis, machine learning, and data-driven decision-making More ❯

and Snowflake Experience with budgeting, forecasting, and variance analysis in a corporate or technical setting Knowledge of statistical methods and machine learning techniques for predictive modelling Proficiency in creating and maintaining version-controlled documentation for methodologies and processes Familiarity with governance standards and process optimisation Excellent communication and More ❯

shape future media spend 📬 Drive deeper understanding of CRM performance - especially email marketing effectiveness 💻 Work closely with media agency partners to onboard and apply predictive models in new marketing channels 🧑‍🤝‍🧑 Manage and develop a small team, including an experienced Lead Analyst Tools & Tech Stack: 🛠 Strong SQL essential 📊 Data visualisation More ❯

best practices in analytics from data collection to analysis. Minimum Requirements: Prior experience as a Sr. Data Scientist in a commercial set-up, delivering predictive models/timeseries models to aid sale/demand forecasting Demonstrable experience applying statistics and data science techniques to model customer behaviour and increase More ❯

enabling smarter, more profitable, and sustainable decisions. As a key member of the Market Intelligence team, you will focus on analysing market dynamics, developing predictive models, and embedding insights into our trading platform. By combining deep knowledge of dry and wet commercial shipping markets with data science expertise, you … pre- and at-fixture spaces, delivering measurable improvements to user profitability and driving the evolution of our platform. Drive measurable customer success by embedding predictive analytics and actionable insights into SaaS workflows, enabling smarter, sustainable, and more profitable shipping decisions. Enhance platform value through outcome-focused data-driven solutions … inform better decision-making. Implement frameworks to measure market coverage and responsiveness, ensuring the platform evolves in line with dynamic market needs. Data Science & Predictive Analytics Build and refine predictive models to forecast freight rates, supply-demand dynamics, and market conditions, with a focus on enabling sustainable shipping More ❯

and verbal presentations. Work closely with engineering, product, and executive teams to integrate models into production systems. Drive innovation in data usage across analytics, predictive modeling, and decision systems. What We’re Looking For: 8+ years of data science experience, including 2+ years in leadership roles. Strong background in More ❯

and verbal presentations. Work closely with engineering, product, and executive teams to integrate models into production systems. Drive innovation in data usage across analytics, predictive modeling, and decision systems. What We’re Looking For: 8+ years of data science experience, including 2+ years in leadership roles. Strong background in More ❯

our strategic direction, ensuring that we deliver this core strategy. The three core deliverables of this role: Lead the exec team in developing a predictive growth and advocacy strategy that identifies, measures and amplifies the key drivers of viral organic growth. Build a scalable customer and market intelligence engine … across all teams. Responsibilities Strategy & Leadership With the CEO, lead and support development and execution of a comprehensive long- and short-term data-driven, predictive growth strategy focused on advocacy, virality, and rapid expansion. Partner with the executive & senior leadership team to ensure insights and analytics shape company-wide … driven performance metrics. Customer & Market Insights Build a best-in-class insights function that anticipates customer behaviour shifts, market trends, and emerging opportunities. Develop predictive models and segmentation frameworks that enhance customer engagement, retention, and lifetime value strategies. Leverage NPS, behavioural analytics, and voice-of-customer data to optimise More ❯

and client delivery. Stay updated with regulatory changes, market trends, and actuarial best practices. Required Skills & Experience: Production grade Python experience 2+ years of predictive modelling and advanced analytics methods experience Experience of insurance/reinsurance pricing techniques Experience in developing models in Python Experience in customer facing More ❯

and client delivery. Stay updated with regulatory changes, market trends, and actuarial best practices. Required Skills & Experience: Production grade Python experience 2+ years of predictive modelling and advanced analytics methods experience Experience of insurance/reinsurance pricing techniques Experience in developing models in Python Experience in customer facing More ❯

Govern and implement data quality rules, automated measurement/monitoring, issues management framework, operational dashboards, and predictive models for proactive data quality assessment and identification of improvement opportunities. Work with source systems and downstream data consumers to apply advanced data quality techniques, remediate issues, and implement processes to monitor More ❯

SaaS is omnichannel and can be easily embedded into any interface (web, mobile, desktop). Our technology uses natural language recognition, multiple types of predictive models, and can be integrated into almost any type of solution thanks to our UI libraries and wide range of API methods and capabilities. More ❯