451 to 475 of 648 Permanent Predictive Modelling Jobs

ML tools including Google Vertex AI and Azure ML Building models to answer complex business questions and to proactively inform stock placement strategy and direction. Build, validate and monitor predictive models to grow business confidence. Cultivating relationships cross functionally with stakeholders across Matalan including stock placement and supply chain. Experience in a numerate subject with work experience delivering data More ❯

Support CLV calculations and segment customers based on value or behaviour. Detect friction and uncover opportunities through data. Help automate reporting processes and explore the use of AI in predictive models or dynamic dashboards. Translate complex insights into clear, actionable recommendations. Conversion Rate Optimization (CRO) Identify conversion bottlenecks on the webshop or landing pages. Map user behaviour using tools More ❯

managing and scaling digital product portfolios in complex, data-driven organisations within private markets or similar industries. Hands-on experience with AI/ML applications for financial analysis and predictive modeling. Deep understanding of private market workflows and ability to align digital strategies with broader business objectives. Exceptional ability to influence and build consensus among diverse stakeholders, with strong More ❯

integration, spatial transcriptomics, and related advanced sequencing technologies is highly desirable. Solid understanding of machine learning techniques, particularly in the context of biological data analysis (e.g., clustering, dimensionality reduction, predictive modeling). Experience with software development practices (e.g., version control, testing, documentation) is preferred Analytical Skills Extensive experience with bioinformatics tools, software packages, and databases used for genomic analysis More ❯

track record of managing and scaling digital product portfolios in complex, data-driven organisations within private markets or similar industries. Hands-on experience with applications for financial analysis and predictive modeling. Deep understanding of private market workflows and ability to align digital strategies with broader business objectives. Exceptional ability to influence and build consensus among diverse stakeholders, with strong More ❯

narratives. Support the development and implementation of Digital Healthcare applications for medical and scientific tools, RWE new ways of generating real data, patients' engagement. Support the esign and develop predictive models and generative AI solutions using diverse healthcare data sources, including clinical trials data, electronic health records, wearable devices, patient-reported outcomes, HEOR data, phase IV studies. Collaborate with More ❯

5+ years in product management, innovation, or marketing technology, ideally within an agency, adtech, or SaaS environment. Technical Fluency: Strong understanding of AI/ML concepts (NLP, Gen AI, predictive modeling), APIs, and no/low-code platforms. Performance Marketing Acumen: Familiarity with media channels (Meta, Google, TikTok, etc) attribution, creative testing, and reporting workflows. Skills or competences: Experience More ❯

and patient narratives. Lead the development and implementation of Digital Healthcare applications for medical and scientific tools, RWE new ways of generating real data, patients’ engagement. Design and develop predictive models and generative AI solutions using diverse healthcare data sources, including clinical trials data, electronic health records, wearable devices, patient-reported outcomes, HEOR data, phase IV studies. Collaborate with More ❯

training on hundreds of Gigabytes/tens of millions rows of data per day, Vaix is building a wide range of Machine Learning solutions, from Recommendation engines, human behavior predictive models, to Natural Language Processing. We process hundreds of API requests per second from operators and respond back with latency in milliseconds. Vaix is seeking an experienced and passionate More ❯

narratives. Support the development and implementation of Digital Healthcare applications for medical and scientific tools, RWE new ways of generating real data, patients' engagement. Support the design and develop predictive models and generative AI solutions using diverse healthcare data sources, including clinical trials data, electronic health records, wearable devices, patient-reported outcomes, HEOR data, phase IV studies. Collaborate with More ❯

curiosity especially around the application of technology to solve all kinds of problems. Experience in the data science, analytics, or big data markets preferred 5+ years of experience with predictive modeling and an understanding of relational data structures and SQL Programming in Python/R would be a bonus Experience working with cloud infrastructures (AWS, GCP, Azure) Experience in More ❯

to have used Salesforce/Tableau before, but it would have an advantage. A genuine passion for technology, disruption and innovation is also ideal! Experience with analytics, data, databases, predictive modeling, or business intelligence preferred Education: Degree or equivalent relevant experience required. Experience will be evaluated based on the core competencies for the role (e.g. extracurricular leadership roles, military More ❯

track record of managing and scaling digital product portfolios in complex, data-driven organisations within private markets or similar industries Hands-on experience with applications for financial analysis and predictive modeling Deep understanding of private market workflows and ability to align digital strategies with broader business objectives Exceptional ability to influence and build consensus among diverse stakeholders, with strong More ❯

track record of managing and scaling digital product portfolios in complex, data-driven organisations within private markets or similar industries Hands-on experience with applications for financial analysis and predictive modeling Deep understanding of private market workflows and ability to align digital strategies with broader business objectives Exceptional ability to influence and build consensus among diverse stakeholders, with strong More ❯

automate data ingestion. Development of systems to manage batch processing and real-time streaming of data Evaluate business needs and objectives. Facilitate pipelines, which prepare data for prescriptive and predictive modelling. Working with domain teams to scale the processing of data. Combine raw information from different sources. Manage and maintain automated tools for data quality and reliability. Explore ways More ❯

to have used Salesforce/Tableau before, but it would have an advantage. A genuine passion for technology, disruption and innovation is also ideal! Experience with analytics, data, databases, predictive modeling, or business intelligence preferred Education: Degree or equivalent relevant experience required. Experience will be evaluated based on the core competencies for the role (e.g. extracurricular leadership roles, military More ❯

platform, enabling our partners to self-serve by creating their own end-to-end data workflows, from ingestion through transforming data and evaluating experiments to analyzing usage and running predictive models. We provide a solid data foundation to support various highly impactful business and product-focused projects. We’re looking for a Senior Data Infrastructure engineer to join us More ❯

Bonus Points If You Have: Working experience managing B2B SaaS solutions. Experience working with data scientists or AI product developers. Interest in behavioural science. Passion for machine learning and predictive modelling. Hands-on experience with digital marketing, either as a practitioner or Product Manager. Our Core Values All Adthenians are expected to align closely with our ‘Core Values’. More ❯

Scientist Salary: £100,000 - £130,000 + bonus + benefits Location: London - 3 days p/w in-office Tech: Python, AWS, Spark, Dataiku, Airflow, SnowFlake, ML/NLP, Predictive Modelling *Sponsorship is not on offer for this role The Company: Immersum are partnered with a high-growth data company that’s redefining how organisations engage with household … and location-level intelligence. Their proprietary datasets and predictive modelling techniques power smarter decision-making across marketing, commercial, and customer functions. With a growing client base and investment in AI/ML innovation, this business is building out a world-class data science function to lead the next phase of its scale-up journey. The Role Requirements: This … delivering AI and ML solutions at scale. You’ll lead a small but high-performing team, own the technical roadmap, and drive innovation across machine learning, data products, and modelling infrastructure. What you’ll be doing: Leading AI/ML strategy and building scalable, production-ready models Mentoring and growing a strong data science team Driving t... More ❯

Insurance Domain We're looking for a talented Data Scientist to join our client in London on a hybrid working basis. If you're a technical expert in statistical modelling and machine learning, passionate about turning complex data into actionable insights, this could be the perfect opportunity for you. 💼 Domain: Insurance 💰 Salary: £78,000 📅 Start Date: Mid-July 🧾 Contract … Option: We’re also open to day rate contractors (Inside IR35) What you'll be doing: ● Managing the end-to-end model life cycle ● Building and refining predictive models ● Conducting NLP-based data extraction ● Deploying models using cloud-based platforms for scalability Key skills we're looking for: ● Strong Python expertise ● Hands-on experience with statistical modelling techniques … Familiarity with AWS SageMaker, Databricks, and similar tools ● Proficiency in NLP techniques (e.g., text extraction, classification) ● Prior experience deploying predictive models in the insurance domain If this sounds like you, or someone you know, let’s connect More ❯

Insurance Domain We're looking for a talented Data Scientist to join our client in London on a hybrid working basis. If you're a technical expert in statistical modelling and machine learning, passionate about turning complex data into actionable insights, this could be the perfect opportunity for you. 💼 Domain: Insurance 💰 Salary: £78,000 📅 Start Date: Mid-July 🧾 Contract … Option: We’re also open to day rate contractors (Inside IR35) What you'll be doing: ● Managing the end-to-end model life cycle ● Building and refining predictive models ● Conducting NLP-based data extraction ● Deploying models using cloud-based platforms for scalability Key skills we're looking for: ● Strong Python expertise ● Hands-on experience with statistical modelling techniques … Familiarity with AWS SageMaker, Databricks, and similar tools ● Proficiency in NLP techniques (e.g., text extraction, classification) ● Prior experience deploying predictive models in the insurance domain If this sounds like you, or someone you know, let’s connect More ❯

insights quickly to add significant value for the business. What your day to day will look like? You will be working with a small team to develop and implement predictive analytic, time-series forecasting and NLP models. Design and implement data collection, processing, and analysis frameworks Working closely with different stakeholders to explain solutions and recommend actions to take … for the business to realise value. What you will bring to the team? Background in statistical modelling/predictive modelling Proven experience delivering data science initiatives, from prototyping to production Strong SQL & Python experience Ability to work in a fast paced and agile environment Desirable: AWS, Snowflake & Palantir Foundry This role will be based in Leeds and More ❯

Continuously improve the product lifecycle, model pipelines, and development processes to enable rapid innovation. What We're Looking For Essential Skills & Experience: Proven track record in pricing analytics , valuation modelling , or similar domains. Strong hands-on experience developing ML solutions in Python . Experience managing and growing high-performing data science teams. Ability to build and communicate complex solutions … to stakeholders across different levels and disciplines. Proficiency working with modern cloud-based tools (e.g., Azure ML , Databricks , Snowflake , SageMaker , etc.). Deep knowledge of machine learning techniques including predictive modelling, pattern recognition, and optimisation. Strong stakeholder management and product ownership skills. Experience with CI/CD tools such as Azure DevOps Pipelines or GitHub Actions. Desirable: Exposure … to Marketing Data Science (e.g., Marketing Mix Modelling, Multi-Touch Attribution) or Operational Research . Experience working in an Agile development environment. What You'll Gain The chance to lead a strategically critical function with high visibility across the organisation. Dedicated time and support to grow your skills as a people manager and strategic leader. A flexible hybrid work More ❯

Continuously improve the product lifecycle, model pipelines, and development processes to enable rapid innovation. What We're Looking For Essential Skills & Experience: Proven track record in pricing analytics , valuation modelling , or similar domains. Strong hands-on experience developing ML solutions in Python . Experience managing and growing high-performing data science teams. Ability to build and communicate complex solutions … to stakeholders across different levels and disciplines. Proficiency working with modern cloud-based tools (e.g., Azure ML , Databricks , Snowflake , SageMaker , etc.). Deep knowledge of machine learning techniques including predictive modelling, pattern recognition, and optimisation. Strong stakeholder management and product ownership skills. Experience with CI/CD tools such as Azure DevOps Pipelines or GitHub Actions. Desirable: Exposure … to Marketing Data Science (e.g., Marketing Mix Modelling, Multi-Touch Attribution) or Operational Research . Experience working in an Agile development environment. What You'll Gain The chance to lead a strategically critical function with high visibility across the organisation. Dedicated time and support to grow your skills as a people manager and strategic leader. A flexible hybrid work More ❯

hyper-personalization, and seamless interactivity in VR/AR worlds — making our system feel like it knows what you need before you ask. This role bridges AI, NLP, behavioural modelling, and real-time system design. Responsibilities Design, develop, and implement machine learning models and algorithms. Build predictive models to anticipate user actions (voice, gaze, gestures) and proactively trigger … understand and forecast conversational user input in XR contexts. Design personalization algorithms that adapt content and UI to individual user behaviour and preferences. Collaborate with cloud engineers to integrate predictive models with rendering workflows for ultra-low-latency experiences. Continuously improve prediction accuracy using live user session data and feedback loops. Analyse and preprocess large datasets to extract useful … features for model training. Requirements 5+ years experience with user behaviour modelling, natural language processing, and multi-modal interaction data. Proficient in Python, TensorFlow or PyTorch, and NLP frameworks (e.g., HuggingFace Transformers). Familiarity with personalization algorithms, recommendation systems, or reinforcement learning. Experience with cloud platforms such as AWS, Google Cloud, or Azure for deploying machine learning solutions. Solid More ❯