london, south east england, United Kingdom Hybrid / WFH Options
The Candidate Recruitment Agency
and concise insights. Strong communication and presentation skills, with the ability to effectively communicate findings to both technical and non-technical audiences. Experience with statistical analysis and data modelling techniques. Familiarity with web analytics tools (e.g., Google Analytics). A proactive and self-motivated approach with a strong More ❯
CLtV team will involve growing and demonstrating your skills in several key areas, including but not limited to: Model development: Explore and integrate innovative modelling methods into our training pipeline to enhance the predictive power and flexibility of our model. Take responsibility for the full lifecycle of the model … and Analysts in other teams to ensure that our model predictions are appropriately utilised and interdependencies are accounted for. Model-driven insights: Utilise our modelling and analytics tools (and introduce new ones where appropriate) to uncover insights, such as customer behaviour patterns or the efficacy of new modelling … the business problem at hand and to get technical feedback for personal growth. The function iwoca's Data Scientists specialise in Supervised Machine Learning, Statistical Inference and Exploratory Statistics, focusing on tabular and time series data. Our work emphasises quantitative predictions through the analysis of conditional probabilities and expectations More ❯
audio, and video. BASIC QUALIFICATIONS 3+ years of data scientist experience 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience 3+ years of machine learning/statistical modeling data analysis tools and techniques, and More ❯
their best-in-class data science capability and deep expertise across FMCG and retail sectors. As a Senior Data Scientist, you’ll apply advanced modelling techniques to drive impactful, data-led solutions for major consumer brands. THE COMPANY This consultancy has built a reputation for delivering high-quality analytics … Hadoop to build and deploy models that influence customer strategy across areas like propensity, churn, segmentation , and more. Key responsibilities include: Developing and deploying statistical and machine learning models to support client objectives Working end-to-end on analytics projects, from discovery through to insight delivery Translating complex data … best practices YOUR SKILLS & EXPERIENCE To be considered for this role, you will ideally have: Solid experience working with customer data and applying predictive modelling techniques Proficiency in SQL , Python/PySpark , and exposure to big data environments such as Hadoop Commercial experience in the FMCG or retail space More ❯
futures, with strategies including market making, automatic quoting, central risk books, systematic trading, and algorithmic execution, trading on venues around the world. We deploy statistical analysis techniques and mathematical models to improve business performance while working closely with traders and salespeople on the trading floor to bring value to … to derivatives. Implement automated hedging algorithms, and build platforms to manage risk centrally across asset classes. Build and expand data pipelines for our advanced statistical and AI models, operating at scale with large quantities of time series data. Drive our market making platform development using a range of technologies More ❯
As Senior Credit Risk Pricing Analyst, your day-to-day responsibilities include but are not limited to: Conducting pricing and credit risk analysis using statistical techniques and data modelling Monitoring portfolio trends to ensure alignment with return targets Supporting credit policy and underwriting strategy development Delivering actionable, data More ❯
As Senior Credit Risk Pricing Analyst, your day-to-day responsibilities include but are not limited to: Conducting pricing and credit risk analysis using statistical techniques and data modelling Monitoring portfolio trends to ensure alignment with return targets Supporting credit policy and underwriting strategy development Delivering actionable, data More ❯
business reviews with data-driven presentations Advanced Analytics Leadership Develop sophisticated marketing analytics techniques Implement lifetime value modeling Conduct incrementality testing and marketing mix modelling (MMM) Establish and maintain critical business metrics and KPIs Team Development Foster a culture of continuous learning and analytical excellence Provide technical guidance and … in eCommerce/subscription business analytics Proven track record across digital acquisition channels Deep understanding of subscription business dynamics Technical Proficiency Advanced SQL skills Statistical analysis expertise Proficiency in Python/R Data visualisation tools (Tableau/PowerBI) Google Analytics 4 and attribution modeling experience Professional Qualities Highly autonomous … abilities Proven ability to work across organisational levels Commitment to driving strategic business decisions Preferred Qualifications: Direct-to-Consumer (DTC) subscription business experience Advanced statistical modeling techniques Marketing automation platform expertise Our ideal candidate will be a strategic communicator who transforms data into compelling narratives, driving organisational performance through More ❯
experience in experimentation, geo-testing and causal analysis techniques. Experience working with marketing teams, including on multi-touch attribution and/or media mix modelling is also highly desirable. Examples of projects you will work on include: Designing, and analysing a programme of experimentation across our marketing channels via … background in experimentation and causal inference, including AB testing and geo-testing. Experience in one of R or Python for data manipulation, visualisation and statistical model development. Strong competency in SQL. Ability to create compelling stories with data to describe and communicate data insights. Excellent written and verbal communication More ❯
the development and validation of PD, LGD, and EAD models in line with regulatory requirements (Basel III/IV). Quantitative analysis: Apply advanced statistical techniques, machine learning methods, and data analysis to build risk models. Stakeholder management: Collaborate with key stakeholders including clients, risk management teams, and regulatory … insights to clients on regulatory trends and the strategic impact of model changes on capital requirements. REQUIREMENTS IRB model development experience Strong proficiency in statistical modeling techniques, with experience in tools such as R, Python, SAS, or SQL. A degree in a quantitative field such as mathematics, statistics, economics More ❯
the development and validation of PD, LGD, and EAD models in line with regulatory requirements (Basel III/IV). Quantitative analysis: Apply advanced statistical techniques, machine learning methods, and data analysis to build risk models. Stakeholder management: Collaborate with key stakeholders including clients, risk management teams, and regulatory … insights to clients on regulatory trends and the strategic impact of model changes on capital requirements. REQUIREMENTS IRB model development experience Strong proficiency in statistical modeling techniques, with experience in tools such as R, Python, SAS, or SQL. A degree in a quantitative field such as mathematics, statistics, economics More ❯
ROI analysis, synthesising recommendations, and presenting to senior executives. Pragmatism; understanding of when analysis is good enough to finish. Statistically literate, competent with some statistical testing or modelling techniques. Here's a flavour of what our analysts have been up to this week: Worked with design and product More ❯
should therefore have a strong background in data storytelling and building relationships both internally and with clients. While this role does not require building statistical models or coding, an understanding of what is possible with data using modelling and machine learning will be beneficial in this role. The … Understanding of how 1st and 3rd party data is used in the creative planning process. Story data storytelling experience. Strong presentation experience. Awareness of modelling techniques and how they can be deployed to generate insights from data. Ability to demonstrate examples of building adoption via data in businesses. Be … analysts, data consultants and strategists alike to understand a brief and show how converged can help to answer that brief efficiently and effectively. Desired: Modelling experience in Python/R/SQL. Experience of audience activation in CDP platforms. Experience of end-to-end product development. An understanding of More ❯
aligning language models for use in our conversational AI platform. Your primary focus will be on post-training techniques such as preference-finetuning, reward modelling, synthetic data generation, etc. Responsibilities : Train models and conduct experiments to assess model performance in live deployments Develop post-training strategies to achieve state … A degree in Computer Science, Machine Learning, or a related field, or equivalent industry experience 3+ years of experience working with deep learning and statistical models Strong knowledge of data quality standards and annotation processes, with the ability to independently evaluate and improve models Proficiency in Python and familiarity More ❯
strategies and manage their implementation. Influence broader business strategy through data-driven storytelling. Experimentation: Lead AB-test design, execution, and performance measurement, ensuring robust statistical and business interpretations. Price Merchandising & Personalised Pricing: Design and lead price merchandising initiatives, promo & discounts strategies, and personalised pricing models. Stakeholder Management: Work closely … in a two-sided marketplace, logistics, or e-commerce environment. Prior experience with pricing optimisation, personalised pricing strategies, promotions, or revenue management. Familiarity with statistical modeling techniques, although deep data science expertise is not required. Advanced and proven hands-on experience with SQL, Google Sheets, and Python. Proven experience More ❯
in a subject like science, maths, economics, or engineering. Working knowledge of UK power markets and understanding of power generation units. Solid experience with statistical and fundamental modelling using IT tools such as SQL, Python, Excel, and Business Intelligence tools (Power BI); with a pragmatic approach to large More ❯
enable the development of student management software. Take the lead to provide best practice interactive data dashboards to assist internal stakeholders with forecasting, scenario modelling, and driving improvements in performance. Deliver a high-quality user experience by ensuring the business requirements and challenges are understood, that analysis and insights … analytics in Power BI and Excel. Minimum Requirements: A good degree in a numerate subject or relevant Higher Education work experience. Detailed knowledge of statistical techniques and data modelling. Profound understanding of relational database architecture and querying methodologies. Experience of handling and amalgamating diverse data sets from various sources. More ❯
sponsorship* Job Summary Senior Quantitative Researcher is required for exciting and progressive Sports betting Hedge fund Company based in London. You will be developing statistical models to compute the probabilities of outcomes in various sports. Sports modelling is their core expertise and the company is structuring the company … of which are central to the company’s success. You will find innovative ways of extracting information from various sporting and market data sources. Modelling and predicting sports outcomes is a uniquely challenging field, and you will have plenty of opportunities to use your experience, judgement and imagination to … betting industry. · Statistics graduate/post-graduate · Electronic Trading Experience · Python, TensorFlow · Straight As at A level (or equivalent) · Kaggle profile (or other practical statistical experience) The Opportunity · Opportunities to progress your quantitative researcher career. · Working in GLMs, BMMs, Kalman filters, MCMC and the TrueSkill Ranking system · Working with More ❯
sponsorship* Job Summary Senior Quantitative Researcher is required for exciting and progressive Sports betting Hedge fund Company based in London. You will be developing statistical models to compute the probabilities of outcomes in various sports. Sports modelling is their core expertise and the company is structuring the company … of which are central to the company’s success. You will find innovative ways of extracting information from various sporting and market data sources. Modelling and predicting sports outcomes is a uniquely challenging field, and you will have plenty of opportunities to use your experience, judgement and imagination to … betting industry. · Statistics graduate/post-graduate · Electronic Trading Experience · Python, TensorFlow · Straight As at A level (or equivalent) · Kaggle profile (or other practical statistical experience) The Opportunity · Opportunities to progress your quantitative researcher career. · Working in GLMs, BMMs, Kalman filters, MCMC and the TrueSkill Ranking system · Working with More ❯
Working On: You’ll be joining a multi-disciplinary data team to support analysis across: Inventory & Revenue Analytics – Improve advertising pricing strategies using predictive modelling and commercial data Audience Insights – Who's listening, how often, and how they're engaging – you’ll help answer the big questions with clarity … and comfort working with large datasets Experience with A/B testing and product or performance analytics Able to build and interpret predictive/statistical models Excellent communication skills – able to translate data into insight Proactive problem solver with a commercial mindset Previous experience in media, broadcasting, or digital More ❯
Quantitative Analyst (AVP level) to join their Treasury Quantitative Analytics team in London. This is a high-impact role supporting Treasury Finance by developing statistical models to forecast behavioural asset and liability balances—key to managing interest rate risk. Key Responsibilities: Develop and implement quantitative models for asset-liability … forecasting and interest rate risk management. Utilise advanced econometric and statistical techniques such as time series analysis and regression modelling. Translate complex technical concepts for both technical and non-technical stakeholders. Write robust, production-ready Python code and partner with technology teams to operationalise models. Ensure models are compliant … internal governance and model risk frameworks. Provide ongoing model validation, documentation, and performance monitoring. Ideal Candidate Will Have: Strong background in ALM or Treasury modelling, particularly behavioural balance forecasting. Deep knowledge of statistical/econometric methods. Solid Python programming skills and experience handling large datasets. Clear and confident More ❯
Quantitative Analyst (AVP level) to join their Treasury Quantitative Analytics team in London. This is a high-impact role supporting Treasury Finance by developing statistical models to forecast behavioural asset and liability balances—key to managing interest rate risk. Key Responsibilities: Develop and implement quantitative models for asset-liability … forecasting and interest rate risk management. Utilise advanced econometric and statistical techniques such as time series analysis and regression modelling. Translate complex technical concepts for both technical and non-technical stakeholders. Write robust, production-ready Python code and partner with technology teams to operationalise models. Ensure models are compliant … internal governance and model risk frameworks. Provide ongoing model validation, documentation, and performance monitoring. Ideal Candidate Will Have: Strong background in ALM or Treasury modelling, particularly behavioural balance forecasting. Deep knowledge of statistical/econometric methods. Solid Python programming skills and experience handling large datasets. Clear and confident More ❯
