1 to 25 of 34 Predictive Modelling Jobs in the South East

Senior Data Analyst/Insight Analyst - Contract - Predictive Modelling Rate: £370-£400/day (Outside IR35) Location: Remote-first (occasional office visits) Start Date: ASAP | Duration: Initial contract, likely extension The Role We're seeking a Senior Data/Insight Analyst with strong predictive modelling and recommendation engine experience to help build an in-house personalised … customers will love, not just what they've bought before. What You'll Do Build & optimise recommendation/personalisation models . Drive incremental targeting beyond repeat-purchase patterns. Apply predictive analytics to customer behaviour & purchase history. Use Python (essential), SQL , and ideally PySpark to deliver insights. Collaborate with Product, Content, and Data Science to align models with business goals. … Translate data into clear, actionable insights. (Bonus) Explore AI-driven ad content opportunities. What We're Looking For Proven experience with predictive modelling/recommender systems . Strong Python & SQL skills (essential). Exposure to PySpark (desirable). Strong communicator with ability to link data to business outcomes. (Bonus) Experience with Generative AI or content automation. More ❯

In this role, you’ll: 📊 Analyse datasets to uncover patterns, trends, and actionable insights 🧠 Apply statistical and machine learning techniques to solve business problems 🛠 Assist in building and maintaining predictive models and analytical tools 🤝 Collaborate with data engineers, analysts, and business stakeholders to deliver impactful solutions 📝 Communicate findings clearly through reports, visualisations, and presentations What’s in it for More ❯

In this role, you’ll: 📊 Analyse datasets to uncover patterns, trends, and actionable insights 🧠 Apply statistical and machine learning techniques to solve business problems 🛠 Assist in building and maintaining predictive models and analytical tools 🤝 Collaborate with data engineers, analysts, and business stakeholders to deliver impactful solutions 📝 Communicate findings clearly through reports, visualisations, and presentations What’s in it for More ❯

behavioural patterns. Translate data into actionable insights that influence decisions across Finance, Operations, Sales, and Marketing. Support the testing, piloting, and scaling of AI-driven tools like sentiment analysis, predictive models, and smart feedback systems. Make insights accessible to non-technical stakeholders through clear storytelling and impactful data visualisations. Champion best practices in customer insights and contribute to the … with data tools such as Python, R, Tableau, or Power BI. Interest or experience in customer experience and Voice of Customer (VoC) insights. Bonus skills (not required): Experience with predictive modelling, NLP, or large language models. Exposure to customer journey mapping. Knowledge of additional languages (French, Spanish, or German). What's on Offer Opportunities to work across More ❯

What we’d love you to bring: Passion for using data to tell stories, make insight actionable, and influence decisions. Strong understanding of data models and analytics; exposure to predictive modelling and machine learning is a plus. Proficient in SQL and Python, with bonus points for PySpark, SparkSQL, and Git. Skilled in data visualisation with tools such as More ❯

businesses across the retail and consumer services sectors to optimise operations, manage data, and drive customer loyalty. They are seeking a talented Data Scientist to analyse complex datasets, develop predictive models, and deliver actionable insights that support their cutting-edge solutions. This is an exciting opportunity to work with a forward-thinking organisation that values collaboration, innovation, and the More ❯

design ETL/ELT pipelines SQL, Python for data manipulation and machine learning Big Data frameworks (e.g., Hadoop, Spark) Data visualisation (e.g., Power BI) Understanding of statistical analysis and predictive modelling Experience: 5+ years working with Microsoft data platforms 5+ years in a customer-facing consulting or professional services role Strong understanding of data warehousing and BI principles … Skilled in data modelling, database design, and transformation processes Confident communicator with strong stakeholder engagement skills Agile delivery experience preferred Benefits: Hybrid working model – monthly onsite collaboration at a modern office in the Berkshire area Comprehensive benefits including healthcare, pension, life assurance, and income protection More ❯

design ETL/ELT pipelines SQL, Python for data manipulation and machine learning Big Data frameworks (e.g., Hadoop, Spark) Data visualisation (e.g., Power BI) Understanding of statistical analysis and predictive modelling Experience: 5+ years working with Microsoft data platforms 5+ years in a customer-facing consulting or professional services role Strong understanding of data warehousing and BI principles … Skilled in data modelling, database design, and transformation processes Confident communicator with strong stakeholder engagement skills Agile delivery experience preferred Benefits: Hybrid working model – monthly onsite collaboration at a modern office in the Berkshire area Comprehensive benefits including healthcare, pension, life assurance, and income protection More ❯

with 4+ years of experience to lead the Data Science team for a fast-growing technology company. You’ll work on large, complex datasets to uncover behavioural patterns, build predictive models, and drive data-led strategies that directly influence product and business decisions. What You’ll Be Doing: Designing and deploying predictive models, machine learning solutions, and advanced … statistical analyses Executing end-to-end data science workflows: from data acquisition and cleaning to modelling, validation, and deployment Applying statistical and ML techniques to identify insights from millions of behavioural data points Working closely with product and business teams to translate findings into actionable outcomes Measuring and improving platform and product performance through experimentation and analytics What We … 4+ years of experience in a Data Scientist or applied analytics role Proficiency in SQL and strong programming skills (Python, R, or similar) Hands-on experience with machine learning, predictive modelling, regression, hypothesis testing, and time-series analysis Ability to manage and deliver data projects independently as well as part of a team Strong communication skills for presenting More ❯

with 4+ years of experience to lead the Data Science team for a fast-growing technology company. You’ll work on large, complex datasets to uncover behavioural patterns, build predictive models, and drive data-led strategies that directly influence product and business decisions. What You’ll Be Doing: Designing and deploying predictive models, machine learning solutions, and advanced … statistical analyses Executing end-to-end data science workflows: from data acquisition and cleaning to modelling, validation, and deployment Applying statistical and ML techniques to identify insights from millions of behavioural data points Working closely with product and business teams to translate findings into actionable outcomes Measuring and improving platform and product performance through experimentation and analytics What We … 4+ years of experience in a Data Scientist or applied analytics role Proficiency in SQL and strong programming skills (Python, R, or similar) Hands-on experience with machine learning, predictive modelling, regression, hypothesis testing, and time-series analysis Ability to manage and deliver data projects independently as well as part of a team Strong communication skills for presenting More ❯

with 4+ years of experience to lead the Data Science team for a fast-growing technology company. You’ll work on large, complex datasets to uncover behavioural patterns, build predictive models, and drive data-led strategies that directly influence product and business decisions. What You’ll Be Doing: Designing and deploying predictive models, machine learning solutions, and advanced … statistical analyses Executing end-to-end data science workflows: from data acquisition and cleaning to modelling, validation, and deployment Applying statistical and ML techniques to identify insights from millions of behavioural data points Working closely with product and business teams to translate findings into actionable outcomes Measuring and improving platform and product performance through experimentation and analytics What We … 4+ years of experience in a Data Scientist or applied analytics role Proficiency in SQL and strong programming skills (Python, R, or similar) Hands-on experience with machine learning, predictive modelling, regression, hypothesis testing, and time-series analysis Ability to manage and deliver data projects independently as well as part of a team Strong communication skills for presenting 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 improving performance by reimagining value creation capabilities. They are utilising cutting-edge AI to generate performance insights on each aspect of the investment lifecycle. Responsibilities: Build machine learning predictive models to anticipate/avoid asset downtime and reducing customer churn Evaluate and optimise all models, identifying areas for development Work end-to-end both building and deploying models More ❯

and improving performance by reimagining value creation capabilities. They are utilising cutting-edge AI to generate performance insights on each aspect of the investment lifecycle. Responsibilities: Build machine learning predictive models to anticipate/avoid asset downtime and reducing customer churn Evaluate and optimise all models, identifying areas for development Work end-to-end both building and deploying models More ❯

and improving performance by reimagining value creation capabilities. They are utilising cutting-edge AI to generate performance insights on each aspect of the investment lifecycle. Responsibilities: Build machine learning predictive models to anticipate/avoid asset downtime and reducing customer churn Evaluate and optimise all models, identifying areas for development Work end-to-end both building and deploying models More ❯

and GIS techniques. Ability to communicate complex data insights to non-technical stakeholders. Collaborative mindset and ability to work cross-functionally. Nice to Have: Background in machine learning and predictive modeling. Familiarity with geological datasets and workflows. Understanding of software development processes. Why Apply: Join a forward-thinking team building impactful software solutions for the mining and geological sectors. More ❯

a fast-paced, consumer-focused environment. Location: London Duration: 3-6 months Rate: £400 per day (Outside IR35) Start Date: ASAP What You'll Be Doing: Build and deploy predictive models to optimise delivery routes, reduce churn, and enhance customer satisfaction. Work across cloud platforms (Azure, AWS, GCP) to ingest, transform, and analyse large-scale datasets. Collaborate with cross More ❯

leveraging empathy-driven research, surveys, and digital analytics to understand user needs and behaviours Data Management - establishing enterprise-wide data governance and quality standards to enable automated analysis and modelling Strategic Partnerships - ensuring effective data exchange and insight sharing with external service providers Data Governance - developing organisational data literacy, governance frameworks, and collaborative data strategies Advanced Analytics - delivering actionable … insights through statistical analysis, predictive modelling, and data science techniques Data Engineer What's in it for You? Flexible Working Culture: Hybrid arrangements combining office presence (1-2 days per week minimum) with remote working flexibility Flexible hours and compressed working week options Part-time and job-sharing opportunities available Adaptable arrangements to suit your personal circumstances Competitive More ❯

intersection of data, strategy, and innovation—building models, uncovering insights, and driving impact across the business. What You’ll Do Build and automate data pipelines from diverse sources Design predictive models and machine learning solutions Translate complex data into actionable insights for stakeholders Collaborate across teams to solve real-world business challenges Influence decision-making with evidence-based recommendations More ❯

training, deployment, and monitoring. Deep understanding of MLOps best practices, including CI/CD for ML, model versioning, experiment tracking, and reproducibility. Experience with tools used for statistical analysis, predictive modeling, and AI/ML development. Familiarity with data governance, security best practices, and compliance regulations. A track record of driving strategic initiatives and engineering standardization efforts across multiple More ❯

a senior level Experience managing a team of data professionals. Strong proficiency with Data Analytics tools and technologies - particularly Power BI Good understanding of statistical analysis, machine learning, or predictive modelling techniques Strong analytical and problem-solving abilities. Excellent communication and presentation skills If you would be interested, please apply or call Corinne at Pertemps. More ❯

consider candidates that require sponsorship*** Key Responsibilities: Research and deploy LLM-based solutions (e.g., LangChain, Mastra.ai, Pydantic) for document processing, summarization, and clinical Q&A systems. Develop and optimize predictive models using scikit-learn, PyTorch, TensorFlow, and XGBoost. Design robust data pipelines using tools like Spark and Kafka for real-time and batch processing. Manage ML lifecycle with tools More ❯

/ML Implementation: Design and implement AI/ML algorithms to automate and enhance geological interpretation. Develop AI/ML algorithms to improve geological realism in subsurface models. Validate predictive models using blind test datasets and real-world scenarios. Collaboration & Innovation Work closely with colleagues from multiple disciplines to refine and enhance workflows. Stay current with AI/ML More ❯

such as dbt and Airflow . Collaborate with clients to understand business challenges and deliver tailored data solutions. Transform raw data into structured, actionable datasets for use in AI , predictive modelling , and platform development . Promote engineering best practices including automation, testing, and code quality. Mentor junior team members and lead technical workstreams to elevate team capability. Essential More ❯