expert in the application and use of Excel, SQL, PowerBI and Power Platforms Experience with Tableau is advantageous as is experience of statistical and machine learning techniques such as timeseriesanalysis and forecasting. Interested applicants MUST possess advanced Excel & Power BI skills, be highly proficient with SQL and enjoy devising new reporting strategies to solve problems … per week onsite in the West Midlands The base salary is between £48000 - £50000 (DOE) + Bonus + Broad Corporate Benefits Key Role Purpose & Responsibilities Develop and provide detailed analysis and insight into operational performance variances at both macro and micro levels. Conduct detailed performance analysis of both cost and service drivers to identify and recommend performance improvement … insight. Key Skills & Experience Will Include Advanced Analytical Modelling abilities (advanced Excel & PowerBI user, with solid SQL skills) Appreciation of building machine learning models using techniques such as forecasting, timeseriesanalysis and optimisation Articulate & concise presentation and communication style to simply complex technical and analytical information to non-technical audiences. Able to manage conflicting priorities & work More ❯
london, south east england, united kingdom Hybrid / WFH Options
Anecdote
Lead — AI Agents, Structured Insights & Detection Location: London, hybrid About Anecdote Anecdote we’re on a mission to make customer experience delightful for everyone involved . Think a real‐time copilot that listens to live calls and chats, reads our customers’ knowledge bases, and drafts high‐quality replies for human agents - while also turning messy, multi‐channel feedback into … leads, directors, and the CTO to evolve ambitious prototypes into a rock‐solid, scalable platform. What you’ll actually do 50% Build — design & ship Agentic AI for CX: Real‐time assistants that listen to calls/chats, retrieve from customer KBs, and draft responses with human‐in‐the‐loop controls. Structured extraction: Schema‐driven pipelines over unstructured text (and … other modalities) using retrieval, tool‐use, and robust LLM prompting. Hybrid anomaly detection: Blend classical time‐series methods (e.g., decomposition, change‐point, forecasting) with LLM‐aware, contextful detectors for seasonality, spikes, step‐changes, and drift. Novelty discovery: Embedding‐based clustering and drift, topic surfacing, LLM summarization of emerging themes with deduplication and evidence links. Alerting & scoring: Severity/ More ❯
slough, south east england, united kingdom Hybrid / WFH Options
Anecdote
Lead — AI Agents, Structured Insights & Detection Location: London, hybrid About Anecdote Anecdote we’re on a mission to make customer experience delightful for everyone involved . Think a real‐time copilot that listens to live calls and chats, reads our customers’ knowledge bases, and drafts high‐quality replies for human agents - while also turning messy, multi‐channel feedback into … leads, directors, and the CTO to evolve ambitious prototypes into a rock‐solid, scalable platform. What you’ll actually do 50% Build — design & ship Agentic AI for CX: Real‐time assistants that listen to calls/chats, retrieve from customer KBs, and draft responses with human‐in‐the‐loop controls. Structured extraction: Schema‐driven pipelines over unstructured text (and … other modalities) using retrieval, tool‐use, and robust LLM prompting. Hybrid anomaly detection: Blend classical time‐series methods (e.g., decomposition, change‐point, forecasting) with LLM‐aware, contextful detectors for seasonality, spikes, step‐changes, and drift. Novelty discovery: Embedding‐based clustering and drift, topic surfacing, LLM summarization of emerging themes with deduplication and evidence links. Alerting & scoring: Severity/ More ❯
london (city of london), south east england, united kingdom Hybrid / WFH Options
Anecdote
Lead — AI Agents, Structured Insights & Detection Location: London, hybrid About Anecdote Anecdote we’re on a mission to make customer experience delightful for everyone involved . Think a real‐time copilot that listens to live calls and chats, reads our customers’ knowledge bases, and drafts high‐quality replies for human agents - while also turning messy, multi‐channel feedback into … leads, directors, and the CTO to evolve ambitious prototypes into a rock‐solid, scalable platform. What you’ll actually do 50% Build — design & ship Agentic AI for CX: Real‐time assistants that listen to calls/chats, retrieve from customer KBs, and draft responses with human‐in‐the‐loop controls. Structured extraction: Schema‐driven pipelines over unstructured text (and … other modalities) using retrieval, tool‐use, and robust LLM prompting. Hybrid anomaly detection: Blend classical time‐series methods (e.g., decomposition, change‐point, forecasting) with LLM‐aware, contextful detectors for seasonality, spikes, step‐changes, and drift. Novelty discovery: Embedding‐based clustering and drift, topic surfacing, LLM summarization of emerging themes with deduplication and evidence links. Alerting & scoring: Severity/ More ❯
trading at a hedge fund, proprietary trading firm, or top-tier investment bank Proven track record of alpha generation or contribution to profitable strategies Deep understanding of statistical modeling, time-seriesanalysis, and/or machine learning techniques Strong programming skills in Python, C++, or similar; experience working with large datasets and research infrastructure Master’s or More ❯
london (city of london), south east england, united kingdom
Alexander Chapman
trading at a hedge fund, proprietary trading firm, or top-tier investment bank Proven track record of alpha generation or contribution to profitable strategies Deep understanding of statistical modeling, time-seriesanalysis, and/or machine learning techniques Strong programming skills in Python, C++, or similar; experience working with large datasets and research infrastructure Master’s or More ❯
trading at a hedge fund, proprietary trading firm, or top-tier investment bank Proven track record of alpha generation or contribution to profitable strategies Deep understanding of statistical modeling, time-seriesanalysis, and/or machine learning techniques Strong programming skills in Python, C++, or similar; experience working with large datasets and research infrastructure Master’s or More ❯
Strong STEM background (PhD/Masters ideal) ✔️ 3+ years in execution research/TCA/market-impact modelling ✔️ Python expertise (C Rust a bonus) ✔️ Deep stats/ML knowledge & time-seriesanalysis 👉 A chance to work with some of the sharpest minds in trading & tech, in a high-performance environment where ideas move fast. Please get in More ❯
london (city of london), south east england, united kingdom
Barclay Simpson
Strong STEM background (PhD/Masters ideal) ✔️ 3+ years in execution research/TCA/market-impact modelling ✔️ Python expertise (C Rust a bonus) ✔️ Deep stats/ML knowledge & time-seriesanalysis 👉 A chance to work with some of the sharpest minds in trading & tech, in a high-performance environment where ideas move fast. Please get in More ❯
Strong STEM background (PhD/Masters ideal) ✔️ 3+ years in execution research/TCA/market-impact modelling ✔️ Python expertise (C Rust a bonus) ✔️ Deep stats/ML knowledge & time-seriesanalysis 👉 A chance to work with some of the sharpest minds in trading & tech, in a high-performance environment where ideas move fast. Please get in More ❯
Engineer in Cheltenham. Must have active enhanced DV (West) Clearance Junior to Lead levels available £45k to £95k DoE plus 15% clearance bonus Must be willing to be full-time on-site in Cheltenham Skills required in machine learning, GenAI, NLP, Customer Engagement/Consultancy Who are we? We are recruiting Junior, Senior and Lead Data Scientists with AI … organisation at conferences, all within an inclusive and diverse working environment. Key Skills and Requirements Proficient in AI techniques including machine learning, GenAI, NLP, deep learning, graph analytics, and timeseries analysis. Strong communicator with the ability to simplify complex concepts, manage stakeholders, and motivate/lead Agile teams to deliver robust outcomes. Experienced in securing work through More ❯
Engineer in Cheltenham. Must have active enhanced DV (West) Clearance Junior to Lead levels available £45k to £95k DoE plus 15% clearance bonus Must be willing to be full-time on-site in Cheltenham Skills required in machine learning, GenAI, NLP, Customer Engagement/Consultancy Who are we? We are recruiting Junior, Senior and Lead Data Scientists with AI … organisation at conferences, all within an inclusive and diverse working environment. Key Skills and Requirements Proficient in AI techniques including machine learning, GenAI, NLP, deep learning, graph analytics, and timeseries analysis. Strong communicator with the ability to simplify complex concepts, manage stakeholders, and motivate/lead Agile teams to deliver robust outcomes. Experienced in securing work through More ❯
london, south east england, united kingdom Hybrid / WFH Options
Experis UK
basis. You will be responsible for designing, developing, and deploying deep learning models to solve complex real-world problems across domains such as computer vision, natural language processing, and time-series analysis. Key Responsibilities: Design and implement deep learning models using frameworks such as PyTorch or TensorFlow. Collaborate with data scientists, ML engineers, and product teams to define More ❯
london (city of london), south east england, united kingdom Hybrid / WFH Options
Experis UK
basis. You will be responsible for designing, developing, and deploying deep learning models to solve complex real-world problems across domains such as computer vision, natural language processing, and time-series analysis. Key Responsibilities: Design and implement deep learning models using frameworks such as PyTorch or TensorFlow. Collaborate with data scientists, ML engineers, and product teams to define More ❯
slough, south east england, united kingdom Hybrid / WFH Options
Experis UK
basis. You will be responsible for designing, developing, and deploying deep learning models to solve complex real-world problems across domains such as computer vision, natural language processing, and time-series analysis. Key Responsibilities: Design and implement deep learning models using frameworks such as PyTorch or TensorFlow. Collaborate with data scientists, ML engineers, and product teams to define More ❯