276 to 300 of 788 Permanent Predictive Modelling Jobs

complex business challenges, designing scientific solutions, working large and small data sets (including 3rd party and internal data of a wide variety), using cutting-edge machine learning or statistical modelling techniques to derive insights ??Work collaboratively with data scientists, data engineers and other technical people including pricing teams in order to help support maturation of analytics practice within the … the task. ??Familiarity with version control and other IT delivery tools is required ??Understanding/identifying opportunity to apply machine learning knowledge to solve business problems ??Experience in developing predictive and prescriptive analysis (predictive modelling, machine learning or data mining) used to draw key business insights and clearly articulate findings for target audience ??Exceptional written communications skills More ❯

Certification in Data Warehousing and related technologies is a plus. Must be able to attain and hold National Security Vetting to a minimum SC level. Experience in data analysis, modelling, and management. Prior experience in developing analytical data models and ETL (Extract, Transform, Load) processes. Adept at designing, implementing, and optimizing data models to drive insightful analytics and support … technical stakeholders and collaborate with cross-functional teams. Strong working knowledge of SQL and DAX. Familiarity with VBA, PowerShell, and Python is a plus. Strong understanding & proficiency in data modelling, statistical analysis, and predictive modelling. An understanding of data privacy laws and regulations such as GDPR is essential. Knowledge of industry-standard security protocols and frameworks, such as More ❯

they want someone who can drive seamless deployment of their AI-driven platform . Responsibilities: Data Engineering – Data extraction, cleaning, and integration Analytics & Insight – Turning data into meaningful insights Predictive Modelling – Configuring machine learning models Power BI Dashboards – Building and adapting dashboards for clients Project Management – Leading technical implementation Qualifications: You’ll need: 4+ years in data engineering More ❯

we’re looking for 3-5+ years of experience in marketing analytics, campaign analysis, or marketing operations. Strong understanding of B2B marketing metrics (ROI, CAC, pipeline impact, attribution modelling). Hands-on experience with Google Analytics, marketing automation tools (Pardot preferable), and CRM systems (Salesforce preferable). Proficiency in data visualization tools (Power BI preferable). Ability to … large datasets and extract meaningful insights to improve marketing performance. Strong communication skills to present insights and work cross-functionally with multiple teams. Familiarity with AI-driven analytics and predictive modelling for campaign performance is a plus. What we offer 25 days holiday (exc. bank holidays) + 3 BigHand days off between Christmas & New Year Various wellbeing benefits More ❯

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 ❯

platforms to identify opportunities for 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 testing and experimentation, including tagging 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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

join a team of experienced and supportive colleagues. This role will be based in our London office. Your new role In this role, you will apply data science and modelling techniques to solve real-world business challenges and support data-driven decision-making. Partnering with the Global Head of Performance and Senior Analyst Manager, you'll be responsible for … decision-making Develop and implement analytical models that support pricing, identify fraud, improve retention and renewals, and drive profitable growth Collaborate with analyst team to build, monitor, and refresh predictive models as needed Design and enhance analytics that drive business insights and decisions Ensure models meet regulatory standards and are well documented Present findings clearly and confidently to different … all kinds of backgrounds. You work well with others, think creatively, and enjoy helping bring new ideas to life. Skills you'll need: Expert in Python for data analysis, modelling, and building solutions Familiarity with working in a Linux environment Strong understanding of machine learning and data science Good experience in MS SQL Server Management Studio, MS Office, Power More ❯

has an exciting opportunity for a Data Analyst to support the development, optimisation, and maintenance of data within the Scotland Region. As a Data Analyst, you will design data modelling processes, analyse the data, and share insights with peers. The Data Analyst shall work closely with assigned business stakeholders to understand their goals and determine how data can be … their requirements and developing strategies to ensure they are being met Qualifications At least of 3 years’ experience in a similar role Experience in creating algorithms Experience in creating predictive models Experience in analysing data for insights Experience using Power BI Ability to build relationships with key stakeholders Excellent organisational and time-management skills Outstanding communication and presentation skills More ❯

/Tableau/Looker, Google Analytics/Adobe Analytics). Proven experience leading projects in the marketing/ecommerce sector, with a strong understanding of customer lifetime metrics, cohort modelling, and performance marketing reporting. Ability to quantify the incremental uplift of partners’ marketing campaigns. Strong communication and presentation skills, with the ability to engage both technical and non-technical … members and leading projects independently. Proficiency in Python and Google Colab for advanced data processing. Experience with process mining technologies such as Celonis. Familiarity with AI-driven analytics and predictive modelling. Background in online grocery, retail, or logistics analytics. Willingness to travel internationally to meet OSP partners. What do I get in return: 30 Day ‘work from anywhere’ policy More ❯

including solution overviews, technical narratives, architecture diagrams, and estimates. Contribute to bid strategy, win themes, and differentiators based on the latest AI technologies (e.g. GenAI, LLMs, computer vision, NLP, predictive modelling). 4. Prototype and Demonstrate Build proof-of-concepts (PoCs) or demos to validate solution approaches and inspire client confidence. Showcase AI capabilities using relevant tools (e.g. More ❯

including solution overviews, technical narratives, architecture diagrams, and estimates. Contribute to bid strategy, win themes, and differentiators based on the latest AI technologies (e.g. GenAI, LLMs, computer vision, NLP, predictive modelling). 4. Prototype and Demonstrate Build proof-of-concepts (PoCs) or demos to validate solution approaches and inspire client confidence. Showcase AI capabilities using relevant tools (e.g. 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 ❯

including solution overviews, technical narratives, architecture diagrams, and estimates. Contribute to bid strategy, win themes, and differentiators based on the latest AI technologies (e.g. GenAI, LLMs, computer vision, NLP, predictive modelling). Prototype and Demonstrate Build proof-of-concepts (PoCs) or demos to validate solution approaches and inspire client confidence. Showcase AI capabilities using relevant tools (e.g. Power 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 ❯

deploy sophisticated computational models tailored for time series data across diverse industries. You'll lead the development of innovative solutions, driving our technological evolution with a focus on forecasting, predictive analytics and dynamic data modeling Key Responsibilities Specialize in Time Series Analysis: Design and implement machine learning models that excel in forecasting, anomaly detection, and pattern recognition within time … to model deployment Ensure Data Integrity for Time Series:Conduct thorough audits and cleansing of time series data, develop strategies for managing seasonality, trends, and noise to power insightful predictive models Develop Scalable Time Series Algorithms: Craft algorithms and models that are accurate and adaptable for time series data, ensuring reliable predictions and insights from evolving datasets From Prototype … ability to mentor teams and manage cross-functional projects Deep Learning for Time Series:Advanced knowledge in applying deep learning techniques (using TensorFlow, PyTorch) to time series data, enhancing predictive accuracy and model complexity Ethical AI and Continuous Learning:A strong understanding of AI ethics and privacy considerations, especially in the context of time series data, coupled with a 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 ❯