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In order to strengthen our Investment Risk team, we are looking for a: \n Investment Risk Data Analyst \n You will join a global business of more than 400 investment professionals and a network of 13 offices across Europe, Asia and North America. You will report to the Global Chief Risk Officer and

Background in Computer Science, Mathematics, Data Science, or AI (Master’s or PhD preferred). La Fosse are supporting this rapidly expanding AI business in preparing for an international launch, we’re now looking for a Senior Data Scientist. Lead projects end-to-end, from data design and modelli

In order to strengthen our Investment Risk team, we are looking for a: \n Investment Risk Data Analyst \n You will join a global business of more than 400 investment professionals and a network of 13 offices across Europe, Asia and North America. You will report to the Global Chief Risk Officer and

Trainee Business Analyst Programme Job Guarantee Included. Complete online training designed to take you from zero experience to your first Business Analyst role.

In order to strengthen our Investment Risk team, we are looking for a: \n Investment Risk Data Analyst \n You will join a global business of more than 400 investment professionals and a network of 13 offices across Europe, Asia and North America. You will report to the Global Chief Risk Officer and

Senior Databricks Data Engineer. We are seeking an experienced Data Engineer with expertise in Databricks to join a global consultancy on a major transformation project. This is a fantastic opportunity to work on cutting-edge data solutions in a collaborative, forward-thinking environment.

In order to strengthen our Investment Risk team, we are looking for a: \n Investment Risk Data Analyst \n You will join a global business of more than 400 investment professionals and a network of 13 offices across Europe, Asia and North America. You will report to the Global Chief Risk Officer and

SQL DBA (Niche RMS) Duration: 12 Months + Location: West Midlands & remote (hybrid) Rate: £500 per day (negotiable) IR35 Status: Outside Start: January 2026 A SQL DBA is required our public sector client who are migrating to a new records management system called Niche RMS. To facilitate with

In order to strengthen our Investment Risk team, we are looking for a: \n Investment Risk Data Analyst \n You will join a global business of more than 400 investment professionals and a network of 13 offices across Europe, Asia and North America. You will report to the Global Chief Risk Officer and

As one of the world's largest networks of audit, tax and consulting firms, RSM delivers big ideas and premium service to help middle-market businesses thrive.We are a fast-growing firm with big ambitions -- we have a clear goal to become the premium adviser to the middle market, globally.This vision

Management of existing data sets, ensuring the analytics tools are correctly sourcing data from data sources external to the immediate team Maintaining risk calculations and process feeds to external calculators Respond and prioritize ad-hoc requests for information as they arise Challenge existing

What will I be doing? - Applying advanced analytics, visualisation, and data science techniques to business challenges - Developing and deploying machine learning models and statistical solutions - Writing efficient SQL and prototyping new metrics - Structuring large, ill-defined problems into clea

Management of existing data sets, ensuring the analytics tools are correctly sourcing data from data sources external to the immediate team Maintaining risk calculations and process feeds to external calculators Respond and prioritize ad-hoc requests for information as they arise Challenge existing

Analysing research data and presenting actionable insights.

As an Azure Data Engineer, you’ll be responsible for developing and optimising ETL processes using Databricks, crafting robust data pipelines, and ensuring seamless integration into Data Lakes and other storage solutions. Success in this role means delivering cutting-edge Azure data solutions, tra

Familiarity with data engineering tools / frameworks (Apache Spark / Airflow) for pre-processing and managing large datasets. Multilingual Senior Recruitment Consultant | Python, Backend Engineering, and Data Science. Monitor model performance in production, identifying and resolving issues such as

We are seeking a data-driven scientist to join Sojern's Data Science team within the Science and Optimization group to improve customer KPIs through experimentation, measurement, and analytics, and to drive impact for Sojern’s marketing platform using state-of-the-art causal inference and advanced

Our team’s objectives*** The data science team develops proprietary behavioural models combining state of the art techniques with a variety of data sources that inform market-facing underwriting and pricing decisions, scorecard development, and risk management. Data scientists work across the busi

Senior Data Analyst, Reporting & Operations. You’ll also be joining a much broader, award winning international data team that is doing some really exciting things with the latest big data and analytics technologies. Data Science as a Data Scientist/ML Engineer or Hybrid.

I am currently working with a brilliant consultancy with deep expertise in their field of Data and Cyber Security solutions, predominantly with Central Government organisations but they also have strong ties with Defence and Telco. They are currently looking for a Senior Data Scientist. Experience o

ModelEvaluation&Customization:.Collaboration&QualityAssurance:.Educational&ProfessionalBackground:.RegulatedIndustryExperience(FS,BankingorInsuranceispreferred).

As a Senior Data Scientist, you will work in a highly collaborative environment with extensive amounts of data to research and develop deep learning models in the domains of dating, moderation and content segmentation and apply them to tasks such as recommendation systems and analytics at a high sca

Explore a variety 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. Are you passionate about delivering real value to an organisation using advanced techniques in data science and

As demand for their expertise grows, they are expanding their data science capability and looking for a capable Data Scientist to join the team. Experience working with large datasets and contributing to analytical platforms or data products. Data Scientist – Data Science Analytics and Enablement

Data Scientists / ML Engineers. Data Science / Machine Learning or similar.

Industries: Climate Data and Analytics, Technology, Information and Media, and Software Development. Get notified about new Data Scientist jobs in London Area, United Kingdom. Data Scientist | Energy Tech | London (Hybrid).

Experience with large-scale data processing and database technologies such as. As a Data Scientist at Ultralytics, you will analyze vast datasets to drive model improvements, uncover key insights, and shape the future of our products, including the state-of-the-art Ultralytics YOLO models and Ultral

A fantastic opportunity has arisen for Data Scientists to join a leading Investment Bank on a permanent basis. Proficiency in applying statistical methods / modelling to data.

This role combines traditional data science expertise with software engineering capabilities to build end-to-end AI solutions. Collaborate with backend engineers on data pipelines and infrastructure. Working knowledge of backend systems, data pipelines, and ETL processes.

The Data Science team consists of one Senior Data Scientist, four Data Scientists and the Head of Data Science. With dedicated teams for Data Engineering, Analytics, and Platform Engineering, our focus remains on modelling and problem-solving, not data cleaning. Reporting to the Head of Data Science

A leading fintech company in Greater London is on the lookout for a Head of Pricing & Data. This full-time role offers strategic leadership over pricing and data analytics, ensuring compliance and optimizing revenue. You'll be responsible for leading a high-performing team, developing pricing strate

ETL / ELT, SQL, cloud data platforms, DQ frameworks, data engineering basics, metadata / governance, BI tools (PowerBI, Tableau, Qlik, BO, Microstrategy, Cognos), Python. We're looking for a hands‑on Data Quality Lead to guide a small team and drive enterprise‑wide data quality practices across

This senior leadership role will oversee data governance, data quality, analytics, and advanced data technologies to unlock value from the company’s data assets. Lead and develop a high-performing data team, including data scientists, engineers, analysts, and governance specialists. We are seeking

A leading financial services provider is looking for an ADS Data Support Team Lead to develop a service model for Performance Ready Data and oversee client servicing operations. The ideal candidate will have over 15 years in data management, experience with financial models, and excellent communicat

A leading UK media organization is seeking a Principal Data Scientist to lead the development of impactful AI and machine learning solutions across the rail industry.

As a Process and Functional Business Analyst, you will be expected to immediately contribute to:. Proven Business Analyst experience working specifically on major. Job Title: Business Analyst (Sanctions) (AVP).

Conduct exploratory data analysis, feature engineering, and data cleaning to prepare data for modelling. 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 m

Speechmatics is a cutting-edge applied AI Research company that is breaking down cultural barriers by building diverse and inclusive speech technology.We are looking for an experienced Machine Learning Engineer who can help us advance our automatic speech recognition (ASR) engines for Flow, our new

Methodically understand and assess the effectiveness of new data channels and support collection/creation of new ones.

To do this, you will develop new features, and functionalities on the OVO AI Platform, which is used by engineers, and data scientists as a foundation to deliver their AI models, and use cases. Team up with multi-functional teams, including product managers, software developers, and business analyst

Join to apply for the Machine Learning Engineer role at JD.NASDAQ: JD and HKEX: 9618), also known as JINGDONG, has evolved from a pioneering e-commerce platform into a leading technology and service provider with supply chain at its core.Renowned for its supply chain innovation and excellence, the c

A postgraduate degree in ML or a related field, or bringing commercial experience building ML models at scale – we will also consider exceptional candidates with a demonstrable track record of success in online data‑science competitions, such as Kaggle.

Our Data Science mission is to build machine learning models in the production environment relative to Marketing, Customer Insights, and Safer Gambling and establish a strong culture of data‑driven decision‑making in our organisation's strategy. We want to expand our Data Science function furthe

Build scalable data pipelines for the ingestion and processing of image and text data for model training and evaluation. Our comprehensive solutions, powered by AI-driven data and deep analytics, enable brands to establish, monitor, and protect their presence against infringement and counterfeiting.

You’ll collaborate closely with data scientists, engineers, and product teams to automate workflows, monitor performance, and retrain models as needed. Working with data scientists to take models from development to production-grade systems, ensuring scalability, reproducibility, and robustness. A

Principal Machine Learning Engineer, Advanced Network Orchestration.We are seeking a highly experienced Machine Learning Engineer for a hybrid role focused on advanced temporospatial networking and resource management.This role involves applying cutting‑edge ML research to solve critical network o

Build data systems for high‑quality synthetic and real‑world training data. This is a founding technical role: your decisions will define our model stack, data strategy, and product capabilities for years ahead. Build end‑to‑end training pipelines: data → training → eval → inference.

A true full-stack ML engineering role combining PyTorch, distributed systems, data pipelines, RL design, and MLOps.