126 to 150 of 337 Predictive Modelling Jobs

the direction of data-driven decision-making across the organisation. Key responsibilities for the Data Scientist – Analyse large volumes of structured and unstructured data to extract meaningful insights. Develop predictive models and machine learning algorithms to support business goals. Build and deploy data science solutions into production environments. Work closely with software engineers and data engineers to ensure end … Proven experience in a commercial Data Science role. Strong proficiency in Python (including libraries like pandas, scikit-learn, TensorFlow or PyTorch). Solid understanding of machine learning algorithms, data modelling, and statistical analysis. Hands-on experience working with large datasets and data wrangling techniques. Familiarity with cloud-based environments, particularly AWS. Comfortable with SQL and working with relational and More ❯

of Data Science. We specialise in various areas such as Recommender Systems, Time Series Forecasting, Deep Learning, and Reinforcement Learning, fostering a collaborative learning environment. Our focus is on modelling and problem-solving, leveraging advanced machine learning techniques to create solutions to challenging business problems. We prioritise clean, well-tested code with a culture of documentation and knowledge sharing. … inception through to production monitoring and optimisation Designing and implementing sophisticated experiments and models that significantly enhance business performance Expert-level knowledge of machine learning and statistical methods for predictive modelling and forecasting Extensive experience deploying ML models to production at scale with robust monitoring systems Advanced knowledge of SQL and data manipulation techniques Mastery of software engineering More ❯

Agile methodologies to deliver data science developments, and actively participating in hiring to build a robust data science team. The role may involve expertise in either machine learning (e.g., predictive modelling, classification, anomaly detection) or mathematical optimisation (e.g., scheduling, resource allocation, route optimisation). Candidates with a strong background in one area and interest in the other are … in SQL (any variation). Experience using Python to extract, manipulate, and summarize data from large databases. Proven expertise in managing teams that develop and deploy complex descriptive and predictive algorithms. Working knowledge of statistical techniques (e.g., time series analysis, multivariate analysis, forecasting) and/or mathematical optimisation methods (e.g., linear programming, constraint programming, heuristic approaches). Experience working More ❯

trends and review impact of pricing proposals Coaching and mentoring junior team members Key Skills and Experience: Previous experience within general insurance pricing Experience with some of the following predictive modelling techniques; Logistic Regression, GBMs, Elastic Net GLMs, GAMs, Decision Trees, Random Forests, Neural Nets and Clustering Experience in statistical and data science programming languages (e.g. R, Python More ❯

trends and review impact of pricing proposals Coaching and mentoring junior team members Key Skills and Experience: Previous experience within general insurance pricing Experience with some of the following predictive modelling techniques; Logistic Regression, GBMs, Elastic Net GLMs, GAMs, Decision Trees, Random Forests, Neural Nets and Clustering Experience in statistical and data science programming languages (e.g. R, Python More ❯

and behaviour change. Data Analysis & Strategic Insight : Collect and analyse customer and business data from CRM systems, transactional databases, surveys, and feedback platforms. Use statistical techniques, exploratory analysis, and predictive modelling to uncover trends, forecast behaviour, and identify improvement opportunities across the customer journey. Synthesise data from multiple sources (VoC, market intelligence, internal analytics) to provide a More ❯

join our Digital Member Engagement and Experience team, reporting to the Senior Manager. The ideal candidate will have a strong background in data analysis, machine learning, artificial intelligence, and predictive analytics. This role requires a strategic thinker who can drive product development from ideation to launch, ensuring alignment with business goals and customer needs. Your role is vital in … strongly preferred Requires at least 5 years of prior relevant experience in supporting products and implementations with a focus on data analysis, machine learning, artificial intelligence, and/or predictive analytics Requires expertise in data analytics, user experience design, and predictive modeling to enhance personalization and member engagement Requires strong project management skills and experience in managing large … collaboration skills to effectively lead cross-functional teams and interact with diverse stakeholders Proficiency in data analysis tools (e.g., SQL, Python, R), machine learning frameworks (e.g., TensorFlow, PyTorch) and predictive analytics techniques strongly preferred Hands-on experience with Salesforce Marketing Cloud, including Journey Builder and Personalization module strongly preferred Experience in healthcare, technology, or related industry strongly preferred More ❯

across our entire data science stack, from advanced recommender systems to comprehensive performance analytics. Key Responsibilities: Design and implement scalable machine learning for complex data analysis, optimised recommendations, and predictive modelling. Translate the latest advances in machine learning into impactful solutions and products, from rapid MVPs to fully deployed, production-ready systems. Bring your models to production and optimise … quality using modern toolchain (e.g., Apache Spark, Kafka, Airflow, dbt). Strong foundational knowledge of machine learning and deep learning algorithms, including deep neural networks, supervised/unsupervised learning, predictive analysis, and forecasting. Expert-level proficiency in Python, with a demonstrated ability to develop and debug production-grade code. Desired Skills (Bonus Points): Strong practical understanding of retail analytics More ❯

across our entire data science stack, from advanced recommender systems to comprehensive performance analytics. Key Responsibilities: Design and implement scalable machine learning for complex data analysis, optimised recommendations, and predictive modelling. Translate the latest advances in machine learning into impactful solutions and products, from rapid MVPs to fully deployed, production-ready systems. Bring your models to production and optimise … quality using modern toolchain (e.g., Apache Spark, Kafka, Airflow, dbt). Strong foundational knowledge of machine learning and deep learning algorithms, including deep neural networks, supervised/unsupervised learning, predictive analysis, and forecasting. Expert-level proficiency in Python, with a demonstrated ability to develop and debug production-grade code. Desired Skills (Bonus Points): Strong practical understanding of retail analytics More ❯

optimising and automating Pricing processes to enable faster, more accurate decision-making. Your work will focus on developing and maintaining tooling and frameworks that enhance the efficiency of our predictive models, reducing deployment times, increasing scalability, and improving model performance through regular updates and monitoring. You will work closely with the Data Scientists, Actuaries, and Product team to deliver … number of years of great success have hit profitability and now want to grow through strategic hiring. Key Responsibilities Build model lifecycle tooling (deployment, monitoring and alerting) for our predictive models (for example claims cost, conversion, retention, market models) Maintain and improve the development environment (Kubeflow) used by our Data Scientists and Actuaries Develop and maintain pricing analytics tools More ❯

will contribute to planning, execution, interpretation, validation and communication of innovative exploratory analyses and algorithms, to facilitate internal decision making. You will provide technical expertise in data science and (predictive) machine learning/AI to identify opportunities for influencing internal decision making as well as discussions on white papers/regulatory policy. You will perform hands-on analysis of … methods, variable selection methods (e.g., lasso, elastic net, random forest), design of clinical trials. Strong programming skills in R and Python. Demonstrated knowledge of data visualization, exploratory analysis, and predictive modeling. Excellent interpersonal and communication skills (verbal and writing). Ability to develop and deliver clear and concise presentations for both internal and external meetings in key decision-making More ❯

Amazon's businesses and locations around the world. Some of our work includes GenAI-powered writing assistance and insights, talent development and matching recommendations, experimentation and north star metrics, predictive and root cause models for talent events, voice of the customer qualitative analyses frameworks, and talent evaluation framework research. We are looking for an AI/ML scientist who … reach out to us to find out more! Key job responsibilities - Design and implement models, science-based product ideas and features, project plans and communicate with stakeholders - Develop fair predictive models to understand important business and people-centered outcomes - Productionize ML and GenAI models at the scale of Amazon About the team ALX Science is an experienced central interdisciplinary More ❯

targets. Lead a high-performing, diverse data team, fostering a collaborative, innovative environment with strong mentoring and career development. Responsible for evaluating market dynamics, identifying growth opportunities, and building predictive models to assess financial and operational performance. Your analysis will play a critical role in shaping investment theses and informing high-stakes decisions on multi-million (and often billion More ❯

targets. Lead a high-performing, diverse data team, fostering a collaborative, innovative environment with strong mentoring and career development. Responsible for evaluating market dynamics, identifying growth opportunities, and building predictive models to assess financial and operational performance. Your analysis will play a critical role in shaping investment theses and informing high-stakes decisions on multi-million (and often billion More ❯

analytics. Knowledge of RGM and RTM. Experience with Nielsen data. Proficiency in data analysis tools such as SQL, Python, Power BI, or Tableau. Experience working with large datasets and predictive modeling to support business decisions. Understanding of digital commerce, omnichannel strategies, and supply chain dynamics. Ability to collaborate with stakeholders across marketing, finance, and operations to drive commercial success. More ❯

technical delivery, working at the intersection of data, analytics, operations and business strategy. You'll lead a team of analysts while actively contributing to complex data projects, from building predictive models to delivering executive-level insights that shape our business strategy. What you ll do Team Leadership & Development • Lead and develop a team of data analysts, setting priorities and More ❯

technical delivery, working at the intersection of data, analytics, operations and business strategy. You'll lead a team of analysts while actively contributing to complex data projects, from building predictive models to delivering executive-level insights that shape our business strategy. What you’ll do Team Leadership & Development • Lead and develop a team of data analysts, setting priorities and More ❯

contribute to innovative, data-driven solutions at one of the world's leading professional services firms. As a Data Scientist at PwC, the successful applicant will develop and deploy predictive models, design scalable APIs, and support strategic decision-making across various industries. The role requires a deep understanding of data science methodologies and the ability to work collaboratively across More ❯

What does a day-to-day look like? Lead fraud analytics using machine learning and data analysis to detect suspicious activity, organised fraud rings, and optimise prevention systems. Develop predictive models and tools to enhance fraud detection, consumer behaviour insights, and business performance Provide oversight and governance of claims and operations, ensuring compliance with internal controls, regulatory standards, and More ❯

for: 10+ years of experience in sales analytics, GTM strategy, or related fields, with a strong focus on supporting SMB-focused sales teams Proven expertise in building and deploying predictive models and dashboards using tools like SQL, Python/R, Power BI Deep understanding of sales and customer lifecycle metrics, including acquisition, engagement, retention, and churn analysis Strong ability More ❯

Data Scientist - Risk Modelling | Automotive🚘 | London (Hybrid) | £60,000-£90,000 Peaple Talent have partnered with a leading Automotive business who deliver smart & sustainable solutions that improve customers’ mobility. They're the UK’s largest car leasing company and help over 750,000 people get on the road. My client are unique in that they provide comprehensive insurance as … field 3+ years of experience in forecasting or data analytics Proven experience with statistical software, ideally in Python or R Experience with advanced analytical techniques, including machine learning and predictive modelling Industry knowledge of forecasting in Automotive/Finance/Manufacturing is high desired What's in it for you: 💰Salary: £60,000-£90,000 📍Location: London (x3 More ❯

Data Scientist - Risk Modelling | Automotive🚘 | London (Hybrid) | £60,000-£90,000 Peaple Talent have partnered with a leading Automotive business who deliver smart & sustainable solutions that improve customers’ mobility. They're the UK’s largest car leasing company and help over 750,000 people get on the road. My client are unique in that they provide comprehensive insurance as … field 3+ years of experience in forecasting or data analytics Proven experience with statistical software, ideally in Python or R Experience with advanced analytical techniques, including machine learning and predictive modelling Industry knowledge of forecasting in Automotive/Finance/Manufacturing is high desired What's in it for you: 💰Salary: £60,000-£90,000 📍Location: London (x3 More ❯

spanning football, soccer, cricket, and major US sports like the NBA. As part of their elite trading team, you’ll harness advanced statistical techniques and machine learning to build predictive models that shape their trading strategies. In this role, you’ll drive revenue growth and develop mathematical models to predict the outcomes of sports events. Responsibilities: Utilise advanced statistical … techniques and machine learning to build predictive models that shape our trading strategies Develop predictive models for sports outcomes using advanced mathematical and statistical techniques. Analyse real-world sports data to uncover patterns and generate insights that inform trading strategies. Implement and optimise numerical methods to support robust, scalable model performance in live environments. Collaborate closely with fellow … researchers and developers in a fast-paced, science-driven team environment. Continuously innovate and improve modelling approaches to stay competitive in dynamic and data-rich sports markets. Requirements: MSc, PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Strong coding skills in Python and SQL Strong communication skills, with the ability to work effectively in a More ❯

spanning football, soccer, cricket, and major US sports like the NBA. As part of their elite trading team, you’ll harness advanced statistical techniques and machine learning to build predictive models that shape their trading strategies. In this role, you’ll drive revenue growth and develop mathematical models to predict the outcomes of sports events. Responsibilities: Utilise advanced statistical … techniques and machine learning to build predictive models that shape our trading strategies Develop predictive models for sports outcomes using advanced mathematical and statistical techniques. Analyse real-world sports data to uncover patterns and generate insights that inform trading strategies. Implement and optimise numerical methods to support robust, scalable model performance in live environments. Collaborate closely with fellow … researchers and developers in a fast-paced, science-driven team environment. Continuously innovate and improve modelling approaches to stay competitive in dynamic and data-rich sports markets. Requirements: MSc, PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Strong coding skills in Python and SQL Strong communication skills, with the ability to work effectively in a More ❯

Hiring: Quantitative Analysts – Sports Modelling | London | Up to £130k + Bonus 🚨 A high-performing, close-knit team of researchers and software developers is looking to add Mid-Level and Senior Quantitative Analysts to their growing group. This firm trades on global sports markets using cutting-edge statistical modelling and high levels of automation. 📍 Location: Central London (5 days … a week, with some flexibility) 💰 Salary: Up to £130,000 + 20% Bi-Annual bonus + benefits What you'll do: Build predictive models for sports outcomes (e.g. football, tennis, cricket) Apply rigorous statistical techniques to large real-world datasets Contribute directly to trading strategies in a high-impact, low-bureaucracy setting What we're looking for: MSc/… Maths, Stats, Physics, Computer Science) Strong experience working with real-world data Proficiency in Python (mandatory); R, MATLAB, and C# are a plus Deep understanding of probability, statistics, and modelling Bonus: Genuine interest or background in sports What’s on offer: Flat-structured, non-corporate team culture Exposure to live trading environments and real-time analytics Private healthcare, pension More ❯