26 to 50 of 65 Predictive Modelling Jobs in the South East

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 ❯

hands on role, with around 20% team leadership. What You’ll Do Oversee data science projects, guide junior team members, and drive innovation. Build predictive models for campaign optimisation, customer segmentation, and price elasticity. Design and implement AI-powered solutions to solve complex marketing challenges. Use machine learning and 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 ❯

Analyst responsibilities will include: Lead strategic analysis projects focused on customer retention and engagement, identifying trends and behaviors that drive long-term engagement Develop predictive models and segmentation strategies to forecast customer churn, optimise retention campaigns, and personalise customer journeys Design and deliver insightful dashboards and reports to track … skills and experience: Proven experience SQL Strong expertise in customer analytics, with a track record of using data to drive engagement strategies Proficiency in predictive modelling and segmentation techniques to optimize customer journeys. Hands-on experience with data visualization tools (e.g., Tableau, Power BI) to create intuitive, actionable More ❯

their search for a talented Quantitative Analyst to join their London based team. The successful candidate will use the extensive datasets to enhance existing predictive models, research new methods, and turn your insights into production-ready solutions. This research will involve a mix of well-executed analyses and innovative … modelling to solve unique challenges in football analytics, where traditional methods often need to be adapted or reinvented. To achieve this, you will have the freedom to explore and develop your own ideas while working collaboratively with a team of quants, developers, and analysts, to combine technical expertise with … football knowledge. Key Requirements: 3+ years of experience applying predictive modelling, machine learning, and probability theory, preferably in sports or gaming/betting industries Familiarity with techniques such as Monte Carlo simulation, Bayesian modelling, mixed effects models, Kalman filters, GLMs, and time series forecasting. While expertise in More ❯

Hybrid 3 days onsite, 2 days remote. You will be leveraging your analytical skills and programming experience to extract insights from complex datasets, develop predictive models and support decision making. KEY RESPONSIBILITIES Data Analysis & Modelling: -Analyse large, complex datasets to identify trends, patterns, and actionable insights. -Develop, implement … to help shape the solutions that the team delivers -Present findings and recommendations to technical and non-technical audiences. -Acquire domain knowledge to inform modelling opportunities and model feature creation Technical Leadership: -Mentor junior data scientists and provide peer reviews for modelling projects. -Stay current with industry trends … Experience: -2 or more years of experience in a data science or analytics role. -Proven experience in building machine learning models, statistical analysis, and predictive analytics. -Experience designing experiments or modelling approaches to solve a specified business problem. PREFERRED QUALIFICATIONS -Proficiency in programming languages such as Python or More ❯

Adobe Target, VWO, Optimizely, HotJar etc Knowledge of data science. This doesn’t need to be super in depth, but you must understand clustering, predictive modelling etc Strong communication and story telling skills a must have HOW TO APPLY If this sounds like the role for you, swiftly More ❯

and compliance principles Exposure to real-time or streaming systems such as Kafka or Kinesis Knowledge of ML infrastructure or working with data for predictive modelling Comfort with infrastructure automation tools like Terraform or Kubernetes If this role interests you and you would like to learn more, please More ❯

interest in AI/ML and its application to drug discovery. Knowledge of pharmacokinetics and ADME data interpretation. Experience applying machine learning techniques for predictive modeling and generative molecule design. Proficiency in Python, OpenEye toolkits, RDKit, and other relevant computational chemistry tools. Working Location: This position is based at More ❯

wfh About the Role My client is seeking a Football Quantitative Analyst to join their prediction team. You will use extensive datasets to enhance predictive models, explore new methodologies, and develop solutions. This role involves a blend of in-depth analysis and innovative modelling to tackle unique challenges … of data scientists and sports analysts, as well as having the freedom to explore and develop individual ideas. Requirements 3+ years of experience in predictive modelling, machine learning, and probability theory, preferably in the sports or gaming/betting industries. Familiarity with techniques such as Monte Carlo simulation … Bayesian modelling, mixed effects models, Kalman filters, GLMs, and time series forecasting. Strong programming skills, particularly in Python. Experience in exploring new datasets, identifying data quality issues, and handling imperfect data effectively. Preferred Qualifications Understanding of expected value and utility principles. Practical problem-solving approach, balancing detail with quick More ❯

will be responsible for defining and implementing the global data science strategy for Merlin. This will facilitate the use of huge datasets to build predictive models and generate actionable insights for the business. The introduction of AI and Machine Learning is especially important to explore the improvement of internal … advanced analytics and AI as central pillars in the decision-making processes. Cultivate a strong data-first mindset by embedding AI, machine learning, and predictive modelling into business operations to tackle complex challenges and inform smarter strategies. Recruit, inspire, and develop a skilled team of Data Scientists while More ❯

role, you will be responsible for the training of the Machine Learning models such as propensity models. You will also be accountable for building predictive modelling solutions that can be rolled out to actionable initiatives across the business. In addition, you will support the ongoing management of the 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 ❯

in A/B testing and CRO methodologies, with the ability to develop data-driven hypotheses. Data Science Knowledge : Familiarity with concepts like clustering, predictive modelling, and basic statistical techniques. Technical Skills : Knowledge of BigQuery/SQL/Python is desirable but not essential. Strong communication skills – experience More ❯

competitive salary and share options package are available. Responsibilities: Define and lead the data science and bioinformatics strategy across the full data lifecycle Build predictive models and scalable pipelines for DNA methylation and multi-omics data Apply machine learning to support personalised health recommendations Develop automated reporting systems and More ❯

seeking a Junior Data Scientist to join our client’s London-based fintech team, where you will work with large-scale financial datasets, develop predictive models, and support data-driven decision-making in a dynamic and fast-growing sector. Key Responsibilities 🔍 Data Science & Modelling: Work with complex financial … datasets to extract insights, optimise risk models, and improve trading strategies. 🤖 Machine Learning Development: Design and implement predictive models for fraud detection, credit scoring, and algorithmic trading. 📊 Data Visualisation & Reporting: Build dashboards and reports to communicate insights to both technical and non-technical stakeholders. 🤝 Collaboration: Work alongside risk, product … cloud platforms (AWS, GCP, or Azure) for model deployment. Understanding of big data technologies like Spark or Hadoop. Knowledge of algorithmic trading, credit risk modelling, or payment fraud detection . Benefits 💰 Competitive Salary & Bonus: £35,000 - £45,000 plus performance-based incentives. 🏡 Hybrid Working: Flexible mix of office and More ❯

Data Scientist – Maidenhead We are seeking a results-driven Data Scientist. In this role, you will apply advanced analytical techniques and develop predictive models to extract actionable insights, optimize processes, and support decision-making. You will work on diverse data-driven projects, collaborate across teams, and implement scalable, high … Statistics, Mathematics, or a related field. Experience 2+ years of experience in data science or analytics. Proven expertise in machine learning, statistical analysis, and predictive modeling. Experience designing experiments and modeling solutions for business problems. Preferred Qualifications Proficiency in Python or R (R knowledge is a plus). Strong More ❯

day: Break down complex business challenges into measurable and data-driven metrics and formulate hypothesis to test and validate potential solutions. Build and deploy predictive models using advanced frameworks and algorithms. Adapt and customise models on a case-by-case basis for specific organisational needs. Continuously improve model performance More ❯

analysing and using data from a variety of complex, high-volume structured and unstructured databases, third-party sources, and publicly available data. Understand how predictive models, machine learning, and AI algorithms are used to develop insights and identify strategies for improvement. Use technical expertise to create tactical tools and More ❯

intelligent process control. So, what’s the opportunity here? Use your skills in C#, Python, or C++ to build platforms that enable process optimization, predictive modelling, and complex system automation . Learn from and collaborate with experts across engineering, data science, and machine learning . Contribute to highly … moving, high-stakes environment. Work towards the most difficult challenges with a team of the brightest and the best. Engage with projects involving simulation, modelling, data architecture , and high-dimensional optimisation challenges. Why this is a unique career move: ✅ Join a venture-backed, rapidly growing tech company solving tough … impact problems ✅ Be part of a highly talented, multi-disciplinary team pushing the limits of what software can achieve ✅ Gain exposure to AI, computational modelling, and scientific computing ✅ Influence the architecture and development of platforms used across R&D and production ✅ Enjoy excellent salary , a culture built around innovation More ❯

your peers in the Marketing & Personalisation team and Operations team to contribute through leadership. As such, experience with Marketing Data Science (think Marketing Mix Modelling, Multi-touch attribution) or Operational Research is also welcome. In return you'll receive coaching and mentoring to grow as a people manager. Opportunity … concisely to technical and non-technical audiences of various levels of seniority. Proven ability to manage stakeholders. Broad expertise in machine learning methodologies, including predictive modelling, pattern recognition, and optimization techniques. Experience with reinforcement learning or transfer learning is a plus. Excellent ability to gather, develop, prioritise and More ❯

SKILLS AND EXPERIENCE Strong technical experience in SQL (specifically within Windows Functions), Snowflake, Data Visualisation and Python/R Strong background in advanced analytics, predictive modelling and exploratory analysis Proven expertise in DBT and reporting Strong stakeholder management skills THE BENEFITS Up to £85,000 + bonuses + More ❯

strategies across the platform. Analyze user journeys and behavioral data across tenants to uncover insights that inform product and engagement strategies. Develop segmentation and predictive models to support personalization and proactive member engagement based on demographics, behavior, and interaction activities etc. Design and analyze experiments (A/B testing … SQL skills and experience working with large, complex data sets. Proficiency in SQL and Python or R, with hands-on experience in machine learning, predictive modeling, and statistical analysis. Proven experience working directly with product analytics platforms like Mixpanel, Amplitude, or similar tools. Experience with data visualization and BI More ❯

lead the application of artificial intelligence across the business. This person will explore and implement AI tools—from prompt design to agent building and predictive models—to improve newsroom workflows, support commercial teams, and drive product innovation. Working at the intersection of editorial, product, and technology, the ideal candidate More ❯

the network in real-time Build a transit time model to look at historical data and uncovering real time system dynamics through live components Predictive modelling to predict passenger flow Mix of classical ML, simulation optimisation and deep learning REQUIREMENTS: Proven experience in optimisation and/or simulation More ❯