engineers and data scientists on-site 2 days per week in Central London. The work focuses on traditional ML use cases, such as: Optimisation modelling to improve manufacturing throughput Predictivemodelling to anticipate and reduce asset downtime Customer churn prediction and mitigation Next-best-action modelling for sales agents Geospatial modelling to inform store and asset placement decisions Must-Have Requirements: 3-5+ years' experience applying classical ML in commercial settings Excellent Python coding skills (production-grade, using libraries like Pandas, NumPy, scikit-learn) Strong understanding of supervised and unsupervised learning methods (regression … discipline (Master's preferred) Based in London and able to attend the client site 2 x per week. Nice-to-Haves: Experience with geospatial modelling, time series forecasting, or operational optimisation DBT Interviews are taking place this week. Start ASAP. Please email Desired Skills and Experience PredictiveModellingMore ❯
retail, banking, and insurance, they now work with a broad mix of sectors including geolocation and manufacturing. Their consultancy-style model combines investigative analytics, predictivemodelling, segmentation, and advanced BI solutions. Key areas of focus include Business Intelligence, CRM & Customer Engagement, and Advanced Analytics. THE ROLE: This is … ll contribute to both standard and emerging analytics streams, particularly focusing on customer behaviour and location-based intelligence. Roles and Responsibilities: Build and deploy predictive models, with a focus on clustering and churn analysis Conduct customer segmentation and map customer journeys Deliver analytics across two core streams: Campaign performance … into actionable guidance SKILLS & EXPERIENCE: Proficient in SQL, Python, and Power BI Demonstrated ability to deliver actionable insights from complex data Strong experience in predictivemodelling and deployment Background in retail or consultancy is highly desirable Experience or interest in geolocation/geospatial analytics is a strong advantage More ❯
or equivalent experience in quantitative field (Statistics, Mathematics, Computer Science, Engineering, etc.) At least 1 - 2 years of experience in quantitative analytics or data modelling Deep understanding of predictivemodelling, machine-learning, clustering and classification techniques, and algorithms Fluency in a programming language (Python, C,C++, Java More ❯
data science libraries (NumPy, Pandas, scikit-learn) Experience with SQL for data querying and analysis Solid understanding of machine learning algorithms, statistical methods, and predictive modeling Experience with NLP techniques for text analysis, classification, and information extraction Knowledge of deep learning frameworks such as PyTorch or TensorFlow Experience with More ❯
skills, leveraging SQL and likely Python, coupled with exceptional problem solving skills and commercial acumen. You will employ a range of techniques across financial modelling, clustering, LTV analysis, product analytics, predictivemodelling all to drive funnel conversions, optimise customer experience and support process improvement. Ultimately, we need More ❯
skills, leveraging SQL and likely Python, coupled with exceptional problem solving skills and commercial acumen. You will employ a range of techniques across financial modelling, clustering, LTV analysis, product analytics, predictivemodelling all to drive funnel conversions, optimise customer experience and support process improvement. Ultimately, we need More ❯
services sectors to optimise operations, manage data, and drive customer loyalty. They are seeking a talented Data Scientist to analyse complex data sets, 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 More ❯
Employment Type: Permanent
Salary: £60000 - £65000/annum Life Insurance/Health Care/Pension
services sectors to optimise operations, manage data, and drive customer loyalty. They are seeking a talented Data Scientist to analyse complex data sets, 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 More ❯
We’re Looking For: • Strong SQL skills (Google BigQuery or similar cloud platforms) • Proficiency in Tableau or other data visualisation tools • Understanding of data modelling (Kimball methodology preferred) • Experience with DBT/Airflow and orchestration tools • Strong communication and stakeholder management skills • Familiarity with GitHub for version control and … documentation Bonus Points For: • Python skills • Knowledge of JSON and ETL/data ingestion workflows • Experience with AI/ML techniques for predictivemodelling Benefits: • Generous staff discount (up to 50%!) • 30 days holiday (incl. bank holidays), increasing with service • Annual discretionary bonus scheme • Private medical or health More ❯
london (chessington), south east england, United Kingdom
Omnis Partners
We’re Looking For: • Strong SQL skills (Google BigQuery or similar cloud platforms) • Proficiency in Tableau or other data visualisation tools • Understanding of data modelling (Kimball methodology preferred) • Experience with DBT/Airflow and orchestration tools • Strong communication and stakeholder management skills • Familiarity with GitHub for version control and … documentation Bonus Points For: • Python skills • Knowledge of JSON and ETL/data ingestion workflows • Experience with AI/ML techniques for predictivemodelling Benefits: • Generous staff discount (up to 50%!) • 30 days holiday (incl. bank holidays), increasing with service • Annual discretionary bonus scheme • Private medical or health More ❯
Haywards Heath, Sussex, United Kingdom Hybrid / WFH Options
First Central Services
Knowledge of Python Experience using Agile/Change methodologies What's involved: Find opportunities for, scope out and develop data services, including deep learning, predictive analytics and machine learning, that help to solve business problems Manage a team of Data Scientists, reviewing outputs, planning delivery timelines, developing talent and … or areas for improvement Grow the impact of Data Science across the Group, increase the number of deployed solutions, identify previously unexplored areas of modelling or analysis Role model best practice, with focuses on efficiency and long term success Monitor the latest techniques and solutions being utilised in the … relevant standards/regulations at all times. Any other reasonable duties Experience & knowledge Extensive hands-on experience applying data science techniques to general insurance predictivemodelling problems Strong track record of stakeholder management, modelling projects and successful deployment Deep understanding and familiarity with a variety of statistical More ❯
quantitative field (Mathematics, Computer Science or Engineering). At least 1 - 2 years of experience in quantitative analytics or data modelling. Deep understanding of predictivemodelling, machine learning, clustering and classification techniques. Fluency in a programming language (Python, C, C++, Java, SQL). Familiarity with Big Data frameworks More ❯
Science, Computer Science, Maths or similar. Hands on experience in data science or AI, including leadership roles. Deep expertise in machine learning, NLP, and predictive modelling. Proficient in Python or R, cloud platforms (AWS, GCP, Azure), and big data tools (e.g. Spark). Strong business acumen, communication skills, and More ❯
Azure) and understanding of severless code development Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc. Previous experience developing predictive models in a production environment, MLOps and model integration into larger scale applications. Experience with Machine and Deep Learning libraries such as Scikit-learn More ❯
Data Scientist to join our client's growing team. You will use your skills in data analysis and machine learning to uncover insights, build predictive models, and support decision-making across various projects. You’ll also work closely with engineers, product teams, and other stakeholders to deliver data-driven More ❯
you’ll play a pivotal role in revolutionising marketing strategies through cutting-edge Data Science and Machine Learning solutions. What You’ll Do Build predictive models for campaign optimisation, forecasting, and price elasticity analysis. Support junior data scientists while contributing to high-impact projects. Create and implement AI-driven More ❯
london, south east england, United Kingdom Hybrid / WFH Options
AlbionVC
firm. Responsibilities Lead the day to day execution and implementation of AlbionVC’s data platform. Build and manage Data Pipelines enriching company data. Create predictive models and software to surface and highlight companies which match AlbionVC’s startup criteria. Build our foundational knowledge graph, which captures the wider AlbionVC More ❯
the London Market Analytics team, overseeing data scientists, engineers, and technical experts to deliver impactful, analytics-led solutions. Partner with underwriting stakeholders to design predictive models and tools that enhance decision-making and portfolio profitability. Drive the development and deployment of advanced analytics techniques including GLMs, GBMs, NLP, and More ❯
looking to make the step up, or someone with experience in a similar role within data science. The Role Led campaign reporting and RFM modelling, working with the internal tech stack (including CRMs, booking/loyalty platforms and PowerBI for visualisation) Drive proactive predictivemodelling elements that More ❯
SR2 | Socially Responsible Recruitment | Certified B Corporation™
deployment of their AI-driven platform . Tech Stack & Responsibilities: Data Engineering – Data extraction, cleaning, and integration Analytics & Insight – Turning data into meaningful insights PredictiveModelling – Configuring machine learning models Power BI Dashboards – Building and adapting dashboards for clients Project Management – Leading technical implementation You’ll need: ✅ 4+ More ❯
investment and deal teams by delivering deep, data-driven insights into potential acquisition targets. 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 More ❯
Data Scientist, you will play a pivotal role in shaping our data science function, ensuring we deliver best-in-class machine learning, optimisation, advanced & predictive analytics, and experimentation & measurement solutions. This is a unique opportunity to take ownership of our data science efforts, influence the direction of the team … new standards for excellence. Reporting directly to the Director of Data, you will oversee the execution of high-impact projects, covering areas such as predictivemodelling, customer lifetime value and segmentation, bidding optimisation, and advanced experimentation. You will act as a data lead for key clients, taking responsibility … projects are delivered effectively and drive meaningful results. About you: You are an experienced data scientist with a strong background in machine learning, statistical modelling, and optimisation techniques. You thrive in fast-paced environments and have a proven track record of delivering data-driven solutions that create real value. More ❯
work with the product and engineering team to identify valuable data sources and analyse trends in the data for our customers. You will build predictive models and work with the engineering team to provide further insights to our customers. You will of course be competent in agile data development More ❯
range of organizations across sectors like geolocation and manufacturing. Their hands-on, consultancy-style approach empowers clients to make smarter decisions through investigative analytics, predictivemodelling, segmentation, and advanced BI solutions. Core expertise includes Business Intelligence, CRM & Engagement, and Advanced Analytics. THE ROLE They’re looking for a … data professional with experience in building predictive models—particularly around clustering and churn—as well as customer segmentation and journey analysis. You'll work across two main streams: standard analytics (like campaign performance and segmentation) and a growing focus on geolocation and geospatial analytics. The role involves developing end … to include location-based intelligence. SKILLS + EXPERIENCE Strong SQL, Python and Power BI experience Evidence of delivering actionable insight Experience building and deploying predictive models Background in retail/consultancy would be the ideal Knowledge of geolocation/geospatial analytics is a big plus HOW TO APPLY If More ❯
data . Partner closely with data engineering and data science to unify data across product verticals and surface meaningful insights – from descriptive metrics to predictive benchmarks. Champion data quality, consistency, and trust , ensuring merchants can confidently act on what they see. Prioritise features that close the loop between insight … working closely with data teams and familiarity with modern data stacks (e.g. GCP, BigQuery, dbt, Looker/Tableau, etc). Strong grasp of data modelling, data visualisation principles, and user behaviour analytics . Excellent prioritisation, roadmap planning, and cross-functional coordination skills. Ability to translate complex data requirements into … technical and non-technical stakeholders, including commercial teams, engineering, and executives. Nice-to-Haves Experience with Shopify or similar e-commerce platforms. Exposure to predictivemodelling, forecasting, or ML-enabled analytics . Background in analytics, statistics, or data science (or the ability to spar intelligently with those who More ❯