1,001 to 1,025 of 5,731 AI Jobs

of data from structured to unstructured data spanning client, operational and financial domains to identify opportunities for data science that add value to the business. Advance the use of AI within the business by building our next generation data products, e.g. recommendation systems, chatbots, text analytics systems, pricing and hedging optimisation and automatic insight generation systems. Work with stakeholders from More ❯

strategies with a particular emphasis on inflation modelling and the wider economic landscape. They are looking for a Data Scientist to join their London-based team, working closely with AI and research functions to design, implement, and maintain scalable ML models for forecasting. This role offers the opportunity to work at the cutting edge of time-series forecasting within a More ❯

strategies with a particular emphasis on inflation modelling and the wider economic landscape. They are looking for a Data Scientist to join their London-based team, working closely with AI and research functions to design, implement, and maintain scalable ML models for forecasting. This role offers the opportunity to work at the cutting edge of time-series forecasting within a More ❯

to adapt to evolving risk landscapes. Requirements: Experience as a data scientist. Strong Python and SQL skills. Experience with machine learning frameworks and statistical analysis. Knowledge of LLMs and AI modelling tools. Excellent communication and problem-solving skills. Comfortable working in a fast-paced, collaborative environment. Benefits: Salary up to £70,000 depending on experience Flexible working culture Company equity More ❯

to adapt to evolving risk landscapes. Requirements: Experience as a data scientist. Strong Python and SQL skills. Experience with machine learning frameworks and statistical analysis. Knowledge of LLMs and AI modelling tools. Excellent communication and problem-solving skills. Comfortable working in a fast-paced, collaborative environment. Benefits: Salary up to £70,000 depending on experience Flexible working culture Company equity More ❯

to adapt to evolving risk landscapes. Requirements: Experience as a data scientist. Strong Python and SQL skills. Experience with machine learning frameworks and statistical analysis. Knowledge of LLMs and AI modelling tools. Excellent communication and problem-solving skills. Comfortable working in a fast-paced, collaborative environment. Benefits: Salary up to £70,000 depending on experience Flexible working culture Company equity More ❯

to adapt to evolving risk landscapes. Requirements: Experience as a data scientist. Strong Python and SQL skills. Experience with machine learning frameworks and statistical analysis. Knowledge of LLMs and AI modelling tools. Excellent communication and problem-solving skills. Comfortable working in a fast-paced, collaborative environment. Benefits: Salary up to £70,000 depending on experience Flexible working culture Company equity More ❯

to adapt to evolving risk landscapes. Requirements: Experience as a data scientist. Strong Python and SQL skills. Experience with machine learning frameworks and statistical analysis. Knowledge of LLMs and AI modelling tools. Excellent communication and problem-solving skills. Comfortable working in a fast-paced, collaborative environment. Benefits: Salary up to £70,000 depending on experience Flexible working culture Company equity More ❯

to adapt to evolving risk landscapes. Requirements: Experience as a data scientist. Strong Python and SQL skills. Experience with machine learning frameworks and statistical analysis. Knowledge of LLMs and AI modelling tools. Excellent communication and problem-solving skills. Comfortable working in a fast-paced, collaborative environment. Benefits: Salary up to £70,000 depending on experience Flexible working culture Company equity More ❯

to adapt to evolving risk landscapes. Requirements: Experience as a data scientist. Strong Python and SQL skills. Experience with machine learning frameworks and statistical analysis. Knowledge of LLMs and AI modelling tools. Excellent communication and problem-solving skills. Comfortable working in a fast-paced, collaborative environment. Benefits: Salary up to £70,000 depending on experience Flexible working culture Company equity More ❯

to adapt to evolving risk landscapes. Requirements: Experience as a data scientist. Strong Python and SQL skills. Experience with machine learning frameworks and statistical analysis. Knowledge of LLMs and AI modelling tools. Excellent communication and problem-solving skills. Comfortable working in a fast-paced, collaborative environment. Benefits: Salary up to £70,000 depending on experience Flexible working culture Company equity More ❯

to adapt to evolving risk landscapes. Requirements: Experience as a data scientist. Strong Python and SQL skills. Experience with machine learning frameworks and statistical analysis. Knowledge of LLMs and AI modelling tools. Excellent communication and problem-solving skills. Comfortable working in a fast-paced, collaborative environment. Benefits: Salary up to £70,000 depending on experience Flexible working culture Company equity More ❯

to adapt to evolving risk landscapes. Requirements: Experience as a data scientist. Strong Python and SQL skills. Experience with machine learning frameworks and statistical analysis. Knowledge of LLMs and AI modelling tools. Excellent communication and problem-solving skills. Comfortable working in a fast-paced, collaborative environment. Benefits: Salary up to £70,000 depending on experience Flexible working culture Company equity More ❯

or similar Modelling: SQL Server SSAS Tabular (DAX)/Dimensional Modelling/Data Warehousing Development Management: Azure DevOps SQL MI/DB ETL: Active Batch, API, Event Hub, Kafka AI/ML We’re grateful for your interest in joining our team. Kindly note that only applicants whose experience and qualifications most closely align with the role will be contacted More ❯

or similar Modelling: SQL Server SSAS Tabular (DAX)/Dimensional Modelling/Data Warehousing Development Management: Azure DevOps SQL MI/DB ETL: Active Batch, API, Event Hub, Kafka AI/ML We’re grateful for your interest in joining our team. Kindly note that only applicants whose experience and qualifications most closely align with the role will be contacted More ❯

or similar Modelling: SQL Server SSAS Tabular (DAX)/Dimensional Modelling/Data Warehousing Development Management: Azure DevOps SQL MI/DB ETL: Active Batch, API, Event Hub, Kafka AI/ML We’re grateful for your interest in joining our team. Kindly note that only applicants whose experience and qualifications most closely align with the role will be contacted More ❯

and time zones. Desirable Qualifications: PMP, PRINCE2, or SAFe Agile certification. Experience in regulatory reporting, liquidity stress testing, or Smartstream Real-Time Cash Management is a plus. Exposure to AI/ML-driven innovation in financial services is advantageous. More ❯

Assess the practicality and relevance of modern technologies such as machine learning, big data analytics, generative AI, multi-agent systems, and quantum computing in insurance and risk consulting. Work with diverse teams to pinpoint challenges in the industry and devise innovative solutions using these technologies. Examine intricate data sets to offer insights that aid in the strategic decision-making of More ❯

remote) Overview A leading global online delivery platform is seeking a Senior Product Analyst to strengthen its analytics function within the Ventures division , focusing on high-impact initiatives like AI, loyalty, retail media, and grocery. This is a senior individual contributor role with influence across product, data, and business teams — ideal for someone who thrives in a fast-paced, data More ❯

across asset classes (equities, FX, fixed income, derivatives) Experience with distributed computing frameworks (e.g., Spark, Dask) and cloud-native ML pipelines Exposure to LLMs, graph learning, or other advanced AI methods Strong publication record or open-source contributions in ML or quantitative finance Please apply within for further details or call on 07393149627 Alex Reeder Harvey Nash Finance & Banking To More ❯

across asset classes (equities, FX, fixed income, derivatives) Experience with distributed computing frameworks (e.g., Spark, Dask) and cloud-native ML pipelines Exposure to LLMs, graph learning, or other advanced AI methods Strong publication record or open-source contributions in ML or quantitative finance Please apply within for further details or call on Alex ReederHarvey Nash Finance & Banking To From Record More ❯

Up to £125,000 About the Company We’re working with a next-generation private markets firm that is redefining value creation by combining deep industry expertise with advanced AI and data science. This is a unique opportunity to join a company that partners directly with portfolio companies to drive measurable operational and financial performance—powered by data. They’re More ❯

Up to £125,000 About the Company We’re working with a next-generation private markets firm that is redefining value creation by combining deep industry expertise with advanced AI and data science. This is a unique opportunity to join a company that partners directly with portfolio companies to drive measurable operational and financial performance—powered by data. They’re More ❯

projects independently and drive results. Strong expertise in machine learning, predictive modelling, and AI. Proficient in Python, R, SQL; experience with Power BI or similar tools. Exposure to Gen AI tools or techniques is a strong plus. Excellent stakeholder engagement and communication skills. Degree (2:1 or above) in a numerical discipline. Comfortable working independently and collaboratively in a small More ❯

data platform as the business migrates to AWS. You will work closely with architects, analysts, and data scientists to develop robust, scalable, and secure data solutions that enable analytics, AI, and advanced insights. This role is ideal for an ambitious engineer who wants to take ownership of technical delivery and grow into a Lead Data Engineer position within More ❯