126 to 150 of 158 Predictive Modelling Jobs in London

the fastest growing fintech companies in the UK, and are profitable, meaning they are undergoing rapid growth. THE ROLE You will be doing the following daily: Develop credit risk predictive ML models across their credit card portfolios. Mainly working across the companies scorecards. Enhancing the existing model suite, while gaining exposure to some pricing models. Work end-to-end … Work with a diverse range of leaders and stakeholders. Research new data sources to advise on costs/benefits of lending decisions. YOUR SKILLS AND EXPERIENCE Must have credit modelling experience, focusing on scorecards or predictive models. Previous experience in the credit/lending industry. Excellent analytical skills, with strong skills in Python, and SQL. Strong knowledge of More ❯

individuals needs, beliefs, behaviours, and aspirations. We foster an inclusive workplace that emphasizes personal well-being. Role Are you an aspiring data scientist with a strong foundation in statistical modelling, programming, and business problem-solving? Do you thrive on learning fast, solving real-world problems, and making an impact from day one? Were looking for a Junior Machine Learning … Youll be joining a team led by George Cushen ( ), known for delivering innovative AI solutions at scale across marketing and customer experience. What Youll Do Support the development of predictive models and data-driven solutions that solve real marketing and customer problems. Conduct exploratory data analysis, feature engineering, and data cleaning to prepare data for modelling. Write clean, well More ❯

datasets, and other unstructured data. Your work will augment fundamental analysts, and help drive investment decisions. You will also work alongside quantitative researchers and portfolio managers to help build predictive models from alternative data for systematic strategies. Responsibilities Generate insights and identify trends from alternative datasets; Project key performance indicators (KPIs) for various public companies in the healthcare, energy … or industrial sectors; Work with other data scientists and quantitative researchers to identify and develop features useful for building predictive models; Present research to portfolio managers, investment teams, and other internal users; Stay abreast of alternative data developments and identify potential new data sources and vendors; Collaborate with engineering and data sourcing teams to vet data vendors, ensure data More ❯

governance policies and regulations (e.g., GDPR, CCPA). Collaborate with IT and data teams to resolve data discrepancies and maintain data hygiene. Develop and manage customer segmentation models and predictive analytics to inform marketing and sales strategies. Partner with analytics teams to leverage advanced analytics capabilities. Work closely with marketing teams to create personalized, data-driven campaigns. Enable real … Strong proficiency with customer data platforms (e.g., Segment, Treasure Data, Tealium, Salesforce CDP, Adobe Experience Platform). Certification in CDP technologies or related tools. Knowledge of machine learning and predictive modelling. Appreciation of marketing automation platforms (e.g., HubSpot, Marketo). Advanced understanding of matrixed organisations and comfortable in managing cross functional teams Strong understanding of data integration processes, APIs More ❯

technical teams in configuring extraction tools, refining scripts, and ensuring clean data outputs. Data insights Uncovering key trends in client data and presenting meaningful insights to inform their strategies. Predictive models Customising existing models to meet client needs and assessing feasibility for new analytics solutions. Cohort analysis Defining target groups, testing interventions, and iterating approaches based on client feedback. … sector clients, they enable them to proactively address complex societal challenges like financial vulnerability and housing instability. Their approach integrates disparate datasets, applies cutting-edge machine learning, and utilises predictive analytics to pinpoint those most in need. Our platform transforms this information into actionable insights, equipping professionals with the tools to intervene early and drive meaningful change. In the More ❯

spanning football, soccer, cricket, and major US sports like the NBA. As part of their elite trading team, you’ll harness advanced statistical techniques and machine learning to build predictive models that shape their trading strategies. In this role, you’ll drive revenue growth and develop mathematical models to predict the outcomes of sports events. Responsibilities: Utilise advanced statistical … techniques and machine learning to build predictive models that shape our trading strategies Develop predictive models for sports outcomes using advanced mathematical and statistical techniques. Analyse real-world sports data to uncover patterns and generate insights that inform trading strategies. Implement and optimise numerical methods to support robust, scalable model performance in live environments. Collaborate closely with fellow … researchers and developers in a fast-paced, science-driven team environment. Continuously innovate and improve modelling approaches to stay competitive in dynamic and data-rich sports markets. Requirements: MSc, PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Strong coding skills in Python and SQL Strong communication skills, with the ability to work effectively in a More ❯

spanning football, soccer, cricket, and major US sports like the NBA. As part of their elite trading team, you’ll harness advanced statistical techniques and machine learning to build predictive models that shape their trading strategies. In this role, you’ll drive revenue growth and develop mathematical models to predict the outcomes of sports events. Responsibilities: Utilise advanced statistical … techniques and machine learning to build predictive models that shape our trading strategies Develop predictive models for sports outcomes using advanced mathematical and statistical techniques. Analyse real-world sports data to uncover patterns and generate insights that inform trading strategies. Implement and optimise numerical methods to support robust, scalable model performance in live environments. Collaborate closely with fellow … researchers and developers in a fast-paced, science-driven team environment. Continuously innovate and improve modelling approaches to stay competitive in dynamic and data-rich sports markets. Requirements: MSc, PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Strong coding skills in Python and SQL Strong communication skills, with the ability to work effectively in a More ❯

Hiring: Quantitative Analysts – Sports Modelling | London | Up to £130k + Bonus 🚨 A high-performing, close-knit team of researchers and software developers is looking to add Mid-Level and Senior Quantitative Analysts to their growing group. This firm trades on global sports markets using cutting-edge statistical modelling and high levels of automation. 📍 Location: Central London (5 days … a week, with some flexibility) 💰 Salary: Up to £130,000 + 20% Bi-Annual bonus + benefits What you'll do: Build predictive models for sports outcomes (e.g. football, tennis, cricket) Apply rigorous statistical techniques to large real-world datasets Contribute directly to trading strategies in a high-impact, low-bureaucracy setting What we're looking for: MSc/… Maths, Stats, Physics, Computer Science) Strong experience working with real-world data Proficiency in Python (mandatory); R, MATLAB, and C# are a plus Deep understanding of probability, statistics, and modelling Bonus: Genuine interest or background in sports What’s on offer: Flat-structured, non-corporate team culture Exposure to live trading environments and real-time analytics Private healthcare, pension More ❯

Hiring: Quantitative Analysts – Sports Modelling | London | Up to £130k + Bonus 🚨 A high-performing, close-knit team of researchers and software developers is looking to add Mid-Level and Senior Quantitative Analysts to their growing group. This firm trades on global sports markets using cutting-edge statistical modelling and high levels of automation. 📍 Location: Central London (5 days … a week, with some flexibility) 💰 Salary: Up to £130,000 + 20% Bi-Annual bonus + benefits What you'll do: Build predictive models for sports outcomes (e.g. football, tennis, cricket) Apply rigorous statistical techniques to large real-world datasets Contribute directly to trading strategies in a high-impact, low-bureaucracy setting What we're looking for: MSc/… Maths, Stats, Physics, Computer Science) Strong experience working with real-world data Proficiency in Python (mandatory); R, MATLAB, and C# are a plus Deep understanding of probability, statistics, and modelling Bonus: Genuine interest or background in sports What’s on offer: Flat-structured, non-corporate team culture Exposure to live trading environments and real-time analytics Private healthcare, pension More ❯

lending; fintech experience is a strong plus. At least 12 months' experience managing or mentoring analysts, with a track record of leading high-performing teams. Proven ability to build predictive models and extract insights from large, complex datasets. Advanced proficiency in Python and SQL, including libraries such as Pandas, NumPy, SciPy, Matplotlib, and Seaborn. Skilled in developing and deploying … credit risk models, including scorecard thresholds, limit optimisation, and loss reduction. Experience with Monte Carlo simulations or Bayesian modelling (e.g., PyMC3) is a plus. Strong communication skills, with the ability to convey complex analysis to both technical and non-technical stakeholders. Strong commercial instincts. Familiarity with the German lending market or language is helpful but not essential. The salary More ❯

technical teams in configuring extraction tools, refining scripts, and ensuring clean data outputs. Data insights – Uncovering key trends in client data and presenting meaningful insights to inform their strategies. Predictive models – Customising existing models to meet client needs and assessing feasibility for new analytics solutions. Cohort analysis – Defining target groups, testing interventions, and iterating approaches based on client feedback. … sector clients, they enable them to proactively address complex societal challenges like financial vulnerability and housing instability. Their approach integrates disparate datasets, applies cutting-edge machine learning, and utilises predictive analytics to pinpoint those most in need. Our platform transforms this information into actionable insights, equipping professionals with the tools to intervene early and drive meaningful change. In the More ❯

technical teams in configuring extraction tools, refining scripts, and ensuring clean data outputs. Data insights – Uncovering key trends in client data and presenting meaningful insights to inform their strategies. Predictive models – Customising existing models to meet client needs and assessing feasibility for new analytics solutions. Cohort analysis – Defining target groups, testing interventions, and iterating approaches based on client feedback. … sector clients, they enable them to proactively address complex societal challenges like financial vulnerability and housing instability. Their approach integrates disparate datasets, applies cutting-edge machine learning, and utilises predictive analytics to pinpoint those most in need. Our platform transforms this information into actionable insights, equipping professionals with the tools to intervene early and drive meaningful change. In the More ❯

Responsibilities Analyse data to inform product decisions Work with product and engineering to design data experiments and analyse user behaviour Develop scalable data pipelines and automate insights generation Create predictive models, segmentation logic, or recommendation engines as needed Communicate findings clearly to technical and non-technical stakeholders Drive the development of internal analytics tools and dashboards Contribute to the … top university (Cambridge, Oxford, Imperial, etc ) Previous experience in a Data Science role, ideally within a product or tech company Proficiency in Python and SQL for data manipulation and modelling Solid understanding of statistical modelling, A/B testing, and experimentation Experience working with data in production environments Strong collaboration and communication skills, especially cross-functionally Have founded More ❯

and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc. Support the data science team by preparing data for prescriptive and predictive modelling. Knowledge and Experience 7+ years of experience as a Data Engineer or in a similar role Experience in managing a team of Data Engineers Experience with Data modelling More ❯

data integration platforms, and automated risk management solutions for prestigious asset management firms. Public Sector: We're trusted by multiple UK government departments and public sector organisations to deliver predictive maintenance systems, supply chain optimisation, and process automation. SaaS, Manufacturing & More: From innovative SaaS providers to global manufacturing leaders, our cross-industry expertise ensures we bring diverse perspectives to … complex challenges. Why You'll Love QuantSpark Work That Matters: Lead high-impact analytics projects across diverse sectors-from building predictive models that help private equity firms identify value creation opportunities to creating inventory optimisation algorithms for household-name retailers. Tackle Exciting Challenges: Design and implement technically sophisticated solutions such as real-time analytics platforms for FTSE 100 companies … automated risk assessment systems for asset managers, and predictive maintenance pipelines for government departments. Shape Technical Standards: As a growing consultancy, you'll help define our analytics engineering practices, tooling choices, and data architecture patterns that will serve as the foundation for our continued growth. Work Alongside Brilliant Minds: Collaborate with exceptionally talented colleagues who bring diverse expertise from More ❯

environment that encourages experimentation and autonomy, backed by global infrastructure and top-tier clients. The Role You’ll be embedded in a high-performing data team focused on delivering predictive models, NLP solutions, and data products that drive business value in the insurance domain. Working end-to-end, you’ll lead modelling efforts from data wrangling to deployment … ll Do Develop and deploy machine learning models including classification, regression, and clustering Work across the full model lifecycle: data prep, EDA, feature engineering, training, evaluation, and scaling Build predictive and propensity models for underwriting and claims Apply NLP and OCR for document classification and summarisation Collaborate with clients and cross-functional teams to translate data into action What … science and ML experience Expert in Python and modern data science libraries Experience with AWS SageMaker, Databricks, or similar cloud tools Strong background in supervised/unsupervised learning, statistical modelling, and model deployment Solid understanding of NLP techniques for document processing Domain experience in insurance (e.g., underwriting, claims) Ability to work in a fast-paced, client-facing environment Perks More ❯

environment that encourages experimentation and autonomy, backed by global infrastructure and top-tier clients. The Role You’ll be embedded in a high-performing data team focused on delivering predictive models, NLP solutions, and data products that drive business value in the insurance domain. Working end-to-end, you’ll lead modelling efforts from data wrangling to deployment … ll Do Develop and deploy machine learning models including classification, regression, and clustering Work across the full model lifecycle: data prep, EDA, feature engineering, training, evaluation, and scaling Build predictive and propensity models for underwriting and claims Apply NLP and OCR for document classification and summarisation Collaborate with clients and cross-functional teams to translate data into action What … science and ML experience Expert in Python and modern data science libraries Experience with AWS SageMaker, Databricks, or similar cloud tools Strong background in supervised/unsupervised learning, statistical modelling, and model deployment Solid understanding of NLP techniques for document processing Domain experience in insurance (e.g., underwriting, claims) Ability to work in a fast-paced, client-facing environment Perks More ❯

the world's AI technology? At AWS ProServe India LLP ("ProServe India"), we are helping large enterprises build ML and DL models on the AWS Cloud. We are applying predictive technology to large volumes of data and against a wide spectrum of problems. Our Professional Services organization works together with our internal customers to address business needs of AWS … . • Assist internal customers by being able to deliver a ML/DL project from beginning to end, including understanding the business need, aggregating data, exploring data, building & validating predictive models, and deploying completed models to deliver business impact to the organization. • Use Deep Learning frameworks like MXNet, Caffe 2, Tensorflow, Theano, CNTK, and Keras to help our internal … customers. - Assist internal customers by being able to deliver a ML/DL project from beginning to end, including understanding the business need, aggregating data, exploring data, building & validating predictive models, and deploying completed models to deliver business impact to the organization. - Skilled in using Deep Learning frameworks (MXNet, Caffe2, TensorFlow, Theano, CNTK, Keras) and ML tools (SparkML, Amazon More ❯

to Day Prepare budgets, forecasts, and dynamic financial models to support strategic decision-making Analyse data to identify trends, risks and opportunities within the business Extract meaningful insights and predictive models from large, complex data sets Deliver high-impact insights to senior management, helping to steer the business towards profitable growth Integrate Salesforce data to build a robust, data … drive efficiency in forecasting, budgeting, and monthly close processes. What You'll Bring 3-5 years of FP&A experience, with exposure to investment banking or transaction services (financial modelling, due diligence, strategic advisory). Expertise in SaaS financial metrics (MRR, ARR, churn, LTV, CAC, etc .) and revenue recognition principles Advanced proficiency with Excel and best practice financial … modelling, with a knack for scenario analysis, budgeting, and forecasting Practical experience with Salesforce , BI tools (Power BI), and ERP systems (NetSuite). Exceptional storytelling skills with a PowerPoint whizz - you can simplify complex financial concepts for non-finance audiences Attributes A proactive, ownership mentality , with a passion for improving processes and driving business performance and change Thrive in More ❯

opportunity to work on high-impact projects that directly influence customer engagement, marketing effectiveness, and business growth. The Role As a Senior Data Scientist, you will: Develop and deploy predictive models to enhance customer targeting and engagement. Work on churn prediction to help improve customer retention strategies. Apply customer segmentation techniques to optimise marketing campaigns. Build marketing attribution models … improve campaign performance. Collaborate with stakeholders across the business to translate insights into actionable strategies. Your Skills & Experience We’re looking for a Data Scientist with: Strong experience in predictive modeling, customer analytics, or marketing data science. Proficiency in Python (Pandas, NumPy, Sci-Kit Learn) or similar tools. A proven track record of delivering impactful, data-driven solutions. Strong More ❯

opportunity to work on high-impact projects that directly influence customer engagement, marketing effectiveness, and business growth. The Role As a Senior Data Scientist, you will: Develop and deploy predictive models to enhance customer targeting and engagement. Work on churn prediction to help improve customer retention strategies. Apply customer segmentation techniques to optimise marketing campaigns. Build marketing attribution models … improve campaign performance. Collaborate with stakeholders across the business to translate insights into actionable strategies. Your Skills & Experience We’re looking for a Data Scientist with: Strong experience in predictive modeling, customer analytics, or marketing data science. Proficiency in Python (Pandas, NumPy, Sci-Kit Learn) or similar tools. A proven track record of delivering impactful, data-driven solutions. Strong More ❯

and paid media, delivering strategic recommendations You oversee social listening, competitor benchmarking, and market analysis to refine insights You apply data science methods and collaborate across teams to develop predictive models and data-driven product narratives You analyze social API data and build benchmarks across platforms, countries, content types, and creator tiers to deliver actionable insights and contextual intelligence … You possess expert knowledge in social analytics, data visualization, and forecasting tools like GWI, Pulsar, and Looker Studio You are capable of designing scoring models, developing KPIs, and generating predictive insights, while translating technical results into strategic value for global clients You understand social media platform (TikTok, Instagram, YouTube) dynamics and influencer/creator marketing metrics deeply You are More ❯

and paid media, delivering strategic recommendations. You oversee social listening, competitor benchmarking, and market analysis to refine insights. You apply data science methods and collaborate across teams to develop predictive models and data-driven product narratives. You analyze social API data and build benchmarks across platforms, countries, content types, and creator tiers to deliver actionable insights and contextual intelligence. … You possess expert knowledge in social analytics, data visualization, and forecasting tools like GWI, Pulsar, and Looker Studio. You are capable of designing scoring models, developing KPIs, and generating predictive insights, while translating technical results into strategic value for global clients. You understand social media platform (TikTok, Instagram, YouTube) dynamics and influencer/creator marketing metrics deeply. You are More ❯

and paid media, delivering strategic recommendations You oversee social listening, competitor benchmarking, and market analysis to refine insights You apply data science methods and collaborate across teams to develop predictive models and data-driven product narratives You analyze social API data and build benchmarks across platforms, countries, content types, and creator tiers to deliver actionable insights and contextual intelligence … You possess expert knowledge in social analytics, data visualization, and forecasting tools like GWI, Pulsar, and Looker Studio You are capable of designing scoring models, developing KPIs, and generating predictive insights, while translating technical results into strategic value for global clients You understand social media platform (TikTok, Instagram, YouTube) dynamics and influencer/creator marketing metrics deeply You are More ❯

Senior Data Scientist - Credit Risk Modelling £60-85,000 (dependent on experience)London THE COMPANY This successful and ambitious lending business are going from strength to strength. They are a dynamic and fast-paced lender and are seeking a driven and experienced individual to join their team in building out their predictive models using cutting-edge Machine Learning … predominantly scorecards and broader decisioning models Using innovative machine learning techniques to further enhance the model suite and drive profitability across the business Own the deployment and implementation of predictive models across the product suite Working closely with the Credit and Product teams to enhance performance and profitability across the business by collaborating on strategies and model enhancements YOUR … SKILLS AND EXPERIENCE : Essential to have experience developing predictive models within a Credit Risk setting SQL and Python experience is essential Essential to have experience using Machine Learning techniques to develop non-linear models Experience in a fast-paced environment and ability to work across multiple projects, in a FinTech SALARY AND BENEFITS Base salary from More ❯