london (city of london), south east england, united kingdom Hybrid / WFH Options
Harnham
private equitybacked green tech business with major investment into data and analytics! THE ROLE As a Senior Analyst, you will be involved in the following: Delivering segmentation, regression, and predictive analysis to inform commercial decisions Building forecasting models and analysing customer and usage patterns Supporting dynamic pricing initiatives to optimise revenue and energy efficiency Translating analysis into clear, actionable … engineering and reporting teams to ensure high-quality data infrastructure YOUR SKILLS AND EXPERIENCE Strong skills in SQL and Python (AWS experience desirable) Background in statistical analysis, forecasting, or predictivemodelling Experience working in fast-paced, smaller team environments (not just large corporates) Excellent communication skills being able to take ownership and lead analysis projects independently Proactive, commercially More ❯
to deliver actionable insights across the network of charging points Analyse customer behaviour, usage patterns, and operational data to inform strategy and growth Build statistical models for segmentation, regression, predictivemodelling, and forecasting Support pricing and revenue optimisation initiatives, including dynamic pricing strategies Query and process large datasets coming from multiple real-time sources Translate complex analysis into 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 ❯
to quality control practices, ensuring data processes meet compliance standards and drive continuous improvement. Research & Evaluation - Work alongside Data Scientists and Psychometricians to understand statistical methods and help build predictive models. Support research projects using both quantitative and qualitative data to generate meaningful findings. Training Progress to a full time career Apprenticeship Standard Data technician (level 3) Training Provider More ❯
London, South East, England, United Kingdom Hybrid / WFH Options
Robert Half
pharmaceuticals.* Collaborate with data scientists, data engineers, and business analysts to build scalable AI models for research, development, and commercial operations.* Develop, test, and optimise machine learning algorithms and predictive models relevant to pharmaceutical data.* Integrate AI models with existing data pipelines, laboratory systems, and business applications.* Ensure the reliability, scalability, and performance of AI systems across multiple platforms. More ❯
distribution of their comorbidities, the duration between diagnosis and intervention, treatment patterns etc. Protocol-driven analytics - estimating the association between clinical interventions and their outcomes – benefits and adverse events. Predictive models for determination of populations (phenotypes) or outcomes (patient-level predictions). Network studies – co-ordinating the execution of RWE analytics across multiple external data partner sites. This requires More ❯
large scale data platforms and enterprise data warehouse solutions. Deep understanding of data governance frameworks, compliance standards (FERPA, GDPR, HIPAA, etc.), and data ethics. Proven experience integrating analytics and predictive modeling into institutional decision making and operations. Expertise in cloud-native database platforms (e.g., AWS Redshift, Snowflake, Azure Synapse), relational databases (e.g., Oracle, SQL Server), and NoSQL databases. Visionary More ❯
closely with the CIO and senior leadership team to define where and how data can deliver the most value. Youll help the organisation move from descriptive reporting to truly predictive and prescriptive insights applying advanced machine learning and data science to real-world challenges such as: Identifying patterns in student engagement and performance. Understanding what drives new enrolments across … schools and regions. Establish and lead the data science and machine learning capability. Partner with the CIO and executive team to define data priorities and build predictive solutions. Build the foundation for advanced analytics and data-driven decision-making across the organisation. Proven experience leading data science or advanced analytics in a scaling or transformative environment. Strong technical foundation … across machine learning, forecasting, statistical & predictivemodelling/analytics. Tech stack is open for this hire to implement best practices but this is roughly what they are currently using Python, SQL, Azure (AWS or GCP if also fine) + experience with LLMs and GenAI is beneficial. Principal Data Scientist More ❯
successfully complete this, and you’ll move on to a degree apprenticeship, deepening your skills while growing your career. Role SQL and advanced data joins (yes, the fun kind) Predictivemodelling & forecasting (basically, time travel with stats) Data visualisation & storytelling (making numbers talk) Analytics lifecycles & data democratisation Statistical programming languages Building data products people actually use Training You … ll master: SQL, Python and other stats superpowers Visualisation that makes people go “ohhh, now I get it” Forecasting and modelling AI literacy and applied analytics Turning complexity into clarity Apprenticeship Standard Data analyst (level 4) Training Provider BPP PROFESSIONAL EDUCATION LIMITED Working Week Monday - Friday, shifts to be confirmed. Expected Duration 5 Years Positions Available 4 Closing Date More ❯
successfully complete this, and you’ll move on to a degree apprenticeship, deepening your skills while growing your career Role SQL and advanced data joins (yes, the fun kind) Predictivemodelling & forecasting (basically, time travel with stats) Data visualisation & storytelling (making numbers talk) Analytics lifecycles & data democratisation Statistical programming languages Building data products people actually use Training You … ll master: SQL, Python and other stats superpowers Visualisation that makes people go “oh, now I get it” Forecasting and modelling AI literacy and applied analytics Turning complexity into clarity Apprenticeship Standard Data analyst (level 4) Training Provider BPP PROFESSIONAL EDUCATION LIMITED Working Week Monday - Friday, shifts to be confirmed. Expected Duration 5 Years Positions Available 3 Closing Date More ❯
private equitybacked green tech business with major investment into data and analytics! THE ROLE As a Senior Analyst, you will be involved in the following: Delivering segmentation, regression, and predictive analysis to inform commercial decisions Building forecasting models and analysing customer and usage patterns Supporting dynamic pricing initiatives to optimise revenue and energy efficiency Translating analysis into clear, actionable … engineering and reporting teams to ensure high-quality data infrastructure YOUR SKILLS AND EXPERIENCE Strong skills in SQL and Python (AWS experience desirable) Background in statistical analysis, forecasting, or predictivemodelling Experience working in fast-paced, smaller team environments (not just large corporates) Excellent communication skills being able to take ownership and lead analysis projects independently Proactive, commercially More ❯
and operational objectives. Collaborate with data scientists, engineers, and stakeholders to translate requirements into scalable AI-driven solutions. Work with structured and unstructured data, applying techniques such as NLP, predictivemodelling, and deep learning. Develop and maintain data pipelines and infrastructure to support model training, evaluation, and deployment. Apply best practices in model performance tuning, validation, and monitoring. … their applicability to ongoing initiatives. Ideal Candidate Strong experience in AI/ML development using Python, TensorFlow, PyTorch, or similar frameworks. Solid understanding of data science principles, including statistical modelling, feature engineering, and algorithm selection. Experience with cloud platforms (e.g., Azure, AWS, GCP) and scalable data infrastructure. Background in data engineering, including experience with ETL pipelines, SQL, and data More ❯
Own the business data platform ( GCP ) - integrating multiple data sources across the organisation Oversee data governance and compliance frameworks Champion standardised, accessible reporting via Power BI and Omni Deliver predictivemodelling and machine learning projects (e.g. CLV, propensity scoring) Partner with digital, finance, and operations teams to embed data into decision-making Support and drive key strategic projects … ll Bring Proven leadership in data and analytics roles, with a commercial focus Strong stakeholder management and cross-functional influencing skills Hands-on experience with data architecture, governance, and predictive analytics Ability to translate data into actionable insights that drive business value Experience building or scaling a data function Package £120,000 base salary Private healthcare Free daily lunch More ❯
Manchester, Lancashire, England, United Kingdom Hybrid / WFH Options
Avanti
text, images, and time-series (tabular) data. The Role You’ll join a small, collaborative data team in a Full stack Data Science role (ETL process through to building predictive models) working on live analytics, forecasting, and AI/ML projects. Key responsibilities include: Enriching and preparing datasets to uncover actionable insights Building and evaluating time-series forecasts Prototyping More ❯
developers + others. What sets our client apart is their ability to combine: Domain expertise in water and wastewater operations Manufacturing Systems Technology leadership in SaaS, data analytics, and predictive modeling Customer focus - building solutions that reduce OPEX, improve regulatory outcomes, and empower operators with actionable insights By bridging the gap between utilities, regulators, and communities, our client is More ❯
South East London, London, United Kingdom Hybrid / WFH Options
Stepstone UK
projects will cover a broad range of topics, from working with engineers to implement event tracking on our platforms, all the way to generating data insights and sometimes building predictive models, ultimately helping our Product organisation deliver great products, which solve meaningful user problems. You and your team are part of a larger Product Analytics group, and will be More ❯
quantitative discipline Are proficient with Python, including open-source data libraries (e.g Pandas, Numpy, Scikit learn etc.) Have experience productionising machine learning models Are an expert in one of predictive modeling, classification, regression, optimisation or recommendation systems Have experience with Spark Have knowledge of DevOps technologies such as Docker and Terraform and ML Ops practices and platforms like ML More ❯
project delivery, timelines, and stakeholder communications. Translate complex business challenges into analytical frameworks and actionable insights using data from multiple sources. Conduct advanced quantitative analyses (e.g., marketing attribution, segmentation, predictive modeling) to uncover business drivers and inform strategy. Present findings and recommendations to senior client stakeholders in a clear, compelling narrative that drives decision-making. Collaborate cross-functionally with More ❯
City of London, London, United Kingdom Hybrid / WFH Options
La Fosse
AI/ML-Driven PropTech I am currently working with start/scale up within the PropTech sector looking to hire a Data Scientist to work on high-impact predictivemodelling projects in a fast-growing company. This role offers the opportunity to work end-to-end on ML models, helping to revolutionise the property industry by leveraging … data-driven insights. As a Data Scientist, you’ll be building and optimising predictive models to understand trends in the property market, such as likelihood of sale and customer retention. You’ll work closely with Data Engineers and Product teams to drive AI/ML innovation while ensuring models are scalable and impactful. What You’ll Be Doing: Developing … predictive models to forecast property trends and customer behavior. Leveraging MLOps best practices to ensure efficient model deployment and monitoring. Working end-to-end across the data pipeline – from data extraction to model evaluation. Collaborating with cross-functional teams to turn insights into actionable business decisions. Tech Stack & requirements: Python | SQL | Snowflake | DBT | Tableau | Dataiku 3+ years of experience More ❯
AI/ML-Driven PropTech I am currently working with start/scale up within the PropTech sector looking to hire a Data Scientist to work on high-impact predictivemodelling projects in a fast-growing company. This role offers the opportunity to work end-to-end on ML models, helping to revolutionise the property industry by leveraging … data-driven insights. As a Data Scientist, you’ll be building and optimising predictive models to understand trends in the property market, such as likelihood of sale and customer retention. You’ll work closely with Data Engineers and Product teams to drive AI/ML innovation while ensuring models are scalable and impactful. What You’ll Be Doing: Developing … predictive models to forecast property trends and customer behavior. Leveraging MLOps best practices to ensure efficient model deployment and monitoring. Working end-to-end across the data pipeline – from data extraction to model evaluation. Collaborating with cross-functional teams to turn insights into actionable business decisions. Tech Stack & requirements: Python | SQL | Snowflake | DBT | Tableau | Dataiku 3+ years of experience More ❯
london, south east england, united kingdom Hybrid / WFH Options
La Fosse
AI/ML-Driven PropTech I am currently working with start/scale up within the PropTech sector looking to hire a Data Scientist to work on high-impact predictivemodelling projects in a fast-growing company. This role offers the opportunity to work end-to-end on ML models, helping to revolutionise the property industry by leveraging … data-driven insights. As a Data Scientist, you’ll be building and optimising predictive models to understand trends in the property market, such as likelihood of sale and customer retention. You’ll work closely with Data Engineers and Product teams to drive AI/ML innovation while ensuring models are scalable and impactful. What You’ll Be Doing: Developing … predictive models to forecast property trends and customer behavior. Leveraging MLOps best practices to ensure efficient model deployment and monitoring. Working end-to-end across the data pipeline – from data extraction to model evaluation. Collaborating with cross-functional teams to turn insights into actionable business decisions. Tech Stack & requirements: Python | SQL | Snowflake | DBT | Tableau | Dataiku 3+ years of experience More ❯
slough, south east england, united kingdom Hybrid / WFH Options
La Fosse
AI/ML-Driven PropTech I am currently working with start/scale up within the PropTech sector looking to hire a Data Scientist to work on high-impact predictivemodelling projects in a fast-growing company. This role offers the opportunity to work end-to-end on ML models, helping to revolutionise the property industry by leveraging … data-driven insights. As a Data Scientist, you’ll be building and optimising predictive models to understand trends in the property market, such as likelihood of sale and customer retention. You’ll work closely with Data Engineers and Product teams to drive AI/ML innovation while ensuring models are scalable and impactful. What You’ll Be Doing: Developing … predictive models to forecast property trends and customer behavior. Leveraging MLOps best practices to ensure efficient model deployment and monitoring. Working end-to-end across the data pipeline – from data extraction to model evaluation. Collaborating with cross-functional teams to turn insights into actionable business decisions. Tech Stack & requirements: Python | SQL | Snowflake | DBT | Tableau | Dataiku 3+ years of experience More ❯
AI/ML-Driven PropTech I am currently working with start/scale up within the PropTech sector looking to hire a Data Scientist to work on high-impact predictivemodelling projects in a fast-growing company. This role offers the opportunity to work end-to-end on ML models, helping to revolutionise the property industry by leveraging … data-driven insights. As a Data Scientist, you ll be building and optimising predictive models to understand trends in the property market, such as likelihood of sale and customer retention. You ll work closely with Data Engineers and Product teams to drive AI/ML innovation while ensuring models are scalable and impactful. Leveraging MLOps best practices to ensure More ❯
London, South East, England, United Kingdom Hybrid / WFH Options
Harnham - Data & Analytics Recruitment
Contract Opportunity: Lead Data Scientist (Image-Based PredictiveModelling) Location: London/Hybrid/Remote Day Rate: Up to £600/day (Inside or Outside IR35) Contract Length: Initial 5 weeks (very strong extension potential) Start Date: Within 1-2 weeks Industry: Financial Services (Marketing Analytics Project) Interview Slots Available This Week - Fast Turnaround About the Company Join … Your goal: build and deploy a model that forecasts click-through rates and explains why certain images drive better performance. What You'll Be Doing Build and refine a predictive model using image data & historical engagement metrics? Identify which image characteristics (colour, objects, themes) influence customer behaviour? Implement explainability (e.g. SHAP, feature importance)? Build a simple internal UI (Dash … guide technical decision-making internally? Enable deployment teams to operationalise your solution What Success Looks Like By the end of the initial engagement you will have delivered:- A working predictive model- Clear explainability on what drives user clicks- A functional internal tool for non-technical stakeholders- Documentation and guidance for productionisation Required Skills Must-Have: Expert-level Python (Pandas More ❯