551 to 575 of 2,192 Remote Data Science Jobs

positive change, joining a global community on a mission to make an impact. Learn more at diligent.com or follow us on LinkedIn and Facebook About the role: As a Data Scientist at Diligent, you will shape the future of our flagship SaaS products we build. By applying your technical skills, analytical mindset, and product intuition to one of the … richest data sets in the world, you will help define the experiences we build for our incredible clients around the world. You will collaborate on a wide array of product and business problems with a wide-range of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance and others. You will use data and … analysis to identify and solve product development's biggest challenges. You will influence product strategy and investment decisions with data, be focused on impact, and collaborate with other teams. Product leadership: You will use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to the customers. You will More ❯

Job title: Senior Data Scientist – Pricing Location: London/Leicester/Bexhill Welcome to Hastings Direct We’re a digital insurance provider with a clear strategy to become the best and biggest player in the UK market. As a company, we’ve made huge investments in our technology, pricing, data and analytics capabilities over the past few years … some of what we are looking for, even if you’re not 100% sure, we would love to hear from you. Role overview We are Looking for an experienced Data Scientist that want’s to break free of the normal and develop real innovation to the Insurance Industry! The Senior Data Scientist will assist in the identification and … creation of cutting-edge data assets and predictive models that feed into Hastings’ market-leading pricing activities. This role is within a challenger product with a team comprising Data Scientists/Modellers as well as Analysts all championing alternative ways of risk analysis and market pricing. We are looking for individuals to leverage new a new tech stack More ❯

Senior Data Scientist (Product) 12 Month FTC page is loaded Senior Data Scientist (Product) 12 Month FTC Apply remote type Partially Remote locations London, UK time type Full time posted on Posted Yesterday job requisition id JR4854 Company Description Depop is the community-powered circular fashion marketplace where anyone can buy, sell and discover desirable secondhand fashion. With … to complete the application to adjustments@depop.com . For any other non-disability related questions, please reach out to our Talent Partners. We are looking for a Senior Product Data Scientist to become a member of our Insights team for a 12 month maternity cover period. The product analytics team works closely with product stakeholders to support all aspects … of our users are getting good value, creating fresh and exciting content and growing the platform. We also work with many other parts of the business, for example the data team, to ensure that data being produced is accurate and useful for analysis, or the machine learning team to assess how well their work is helping our users More ❯

frog is part of Capgemini Invent. frog partners with customer-centric enterprises to drive sustainable growth, by building and orchestrating experiences at scale, while harnessing the power of data and technology. We're inventing the future of customer experiences by delivering market-defining business models, products, services, brand engagements and communications. Joining frog means you'll be joining the … possess domain knowledge in marketing, customer, digital, and commercial sectors. Additionally, the candidate should have strong project management and people management skills. What We Look For Previous experience in data science, with proven experience in Generative AI and LLM development and evaluation. Hands-on experience in customer behaviour analytics, marketing, commercial, web, or product analytics with core focus … solutions and Large Language Models (LLMs) for various use cases. Develop and implement machine learning models, including predictive, forecasting, classification, and deep learning models. Experience in working with various data sets, including transactional/EPOS, digital, social, loyalty etc. Hands-on experience in using programming languages such as Python. Knowledge of cloud platforms and tools for data science More ❯

over the last four years, and we have ambitious plans moving forward. It’s an exciting time, and to continue our growth, we are recruiting a Senior Forward Deployed Data Scientist for our Data Science Team. What you can expect as a Senior Forward Deployed Data Scientist at Monolith AI: We are seeking a Senior Forward … Deployed Data Scientist to implement our ML SaaS platform with major automotive and EV manufacturers. You’ll develop custom Python-based ML solutions for use cases like anomaly detection and time series analysis, bridging implementation gaps. Collaborating with Customer Success, you’ll tackle challenges in ML generalization, guide clients on model performance, and influence product improvements. While focused on … delivering client projects, you’ll also support pre-sales discovery and mentor junior data scientists, shaping technical delivery strategies. Key Responsibilities: Technical Leadership Lead complex DS-heavy customer projects from inception to production deployment Define and refine technical success criteria for customer implementations Architect and implement custom ML solutions for enterprise clients Develop and optimise existing algorithms for specific More ❯

Social network you want to login/join with: Location: Hybrid (Newport Pagnell and WFH) Salary : £50 - 60K + Employee Benefits Key Skills: Power BI, transform data using SQL, Python, Data analysis, data visualisation, ideally some experience with AI in Analytics, building interactive and dynamic data dashboards. Why Apply: This is a truly great opportunity for … someone with a talent for transforming raw data into interactive and dynamic dashboards to enable valuable insights. Using both conventional and advanced analytics, you will play a vital role in helping clients make data-driven decisions. Our Client: Our Client is a global consultancy with an impressive growth story. They have a workforce of over 1500 supporting international … clients in delivering 'Performance Improvement' consultancy. The Role: You will join a dedicated Insight and Data Analysis team, transforming raw data from multiple clients, gathering necessary data sets, and presenting insights visually through interactive dashboards. Projects are delivered within deadlines, so the work is varied and fast-paced. The role involves capturing and interrogating customer data More ❯

GenAI Specialist London Are you a Data Scientist with a passion for Generative AI and Large Language Models (LLMs)? Join a leading financial institution's Technology team , working on cutting-edge AI-driven solutions to transform credit risk management and financial data analytics. The Role This is a development-focused position where you'll be responsible for data … lifecycle. Collaborate with cross-functional teams to drive AI innovation. Present analytical findings to business and technology stakeholders. Requirements for a GenAI Specialist: Master's/PhD in Computer Science, Data Science, Mathematics, or related field. 5+ years of experience in ML modeling, ranking, or recommendation systems . Proficiency in Python, SQL, Spark, PySpark, TensorFlow . Strong More ❯

We are seeking a skilled Data Scientist to join our dynamic team, focusing on the intersection of artificial intelligence (AI), cybersecurity, and forecasting. This role involves developing predictive models to anticipate cyber threats and enhance security protocols, leveraging AI and machine learning techniques. Key Responsibilities: Predictive Modeling: Develop and implement machine learning models to forecast potential cybersecurity threats and … vulnerabilities. Data Analysis: Analyze large datasets to identify patterns and anomalies related to security incidents. AI Integration: Integrate AI solutions into existing cybersecurity frameworks to improve threat detection and response times. Collaboration: Work closely with cybersecurity analysts, IT teams, and stakeholders to align data science initiatives with security objectives. Reporting: Generate comprehensive reports and visualizations to communicate … findings to technical and non-technical audiences. Required Qualifications: Educational Background: Bachelor’s or Master’s degree in Data Science, Computer Science, Cybersecurity, or a related field. Technical Skills: Proficiency in programming languages such as Python or R. Experience with machine learning frameworks (e.g., TensorFlow, scikit-learn). Familiarity with cybersecurity concepts and tools. Analytical Skills: Strong More ❯

H&P Executive Search Client - Hedge Fund Location - London The Quant Risk Analyst will help analyze & monitor the Commodities risk, build quantitative models for performance & risk analysis. Responsibilities: Develop data-driven analytical models to uncover performance patterns among portfolio managers and pinpoint key drivers of P&L and risk (e.g., factor models, risk decomposition). Design and implement interactive … with the Quant Technology team to build and enhance option pricing and volatility models. Skills: Advanced degree (Master’s or PhD) in a quantitative discipline such as Engineering, Computer Science, Mathematics, or Physics. Minimum of 3 years’ experience in a professional role within Trading, Structuring, Risk, or Quantitative Analysis at a financial institution, fintech firm, trading company, or commodities … house. Strong programming skills , particularly in Python, with hands-on experience in the data science ecosystem (e.g. Pandas, scikit-learn or similar), and SQL. Experience with GUI development tools such as Dash, Panel, or equivalent is a plus. Seniority level Seniority level Mid-Senior level Employment type Employment type Full-time Job function Job function Analyst, Other, and More ❯

Specialist role at John Goddard Associates Get AI-powered advice on this job and more exclusive features. GenAI Specialist London Are you a GenAI Specialist London Are you a Data Scientist with a passion for Generative AI and Large Language Models (LLMs)? Join a leading financial institution's Technology team , working on cutting-edge AI-driven solutions to transform … credit risk management and financial data analytics. The Role This is a development-focused position where you'll be responsible for data extraction, analysis, and model development using ML, DL, and LLMs . You'll clean and manipulate complex financial datasets, build predictive and prescriptive models, and implement them in production environments. Key Details Start Date: ASAP Duration … lifecycle. Collaborate with cross-functional teams to drive AI innovation. Present analytical findings to business and technology stakeholders. Requirements For a GenAI Specialist Master's/PhD in Computer Science, Data Science, Mathematics, or related field. 5+ years of experience in ML modeling, ranking, or recommendation systems. Proficiency in Python, SQL, Spark, PySpark, TensorFlow. Strong knowledge of More ❯

datasets to build a conversational chat bot. Tasks Key Responsibilities: Model Development: Retrain and fine-tune existing Large Language Models (LLMs) using proprietary datasets to meet specific business requirements. Data Integration: Work with data engineers and data scientists to curate, preprocess, and integrate company-specific data into LLMs. Model Evaluation: Design and execute experiments to evaluate … using metrics relevant to the business. Optimization: Implement model optimization techniques to improve efficiency, reduce latency, and enhance model scalability. Collaboration: Collaborate with cross-functional teams, including product managers, data scientists, and software engineers, to align AI solutions with business goals. Deployment: Assist in deploying LLMs into production environments, ensuring robust and scalable AI solutions. Requirements Qualifications: Experience … AI/ML development, with a focus on working with Large Language Models (e.g., GPT, BERT, Hugging Face, etc.). Education: Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field (or equivalent experience). Technical Skills: Proficiency in Python and deep learning frameworks (e.g., TensorFlow, PyTorch). Strong understanding More ❯

ethos, we prioritize trust, transparency, and innovation in everything we do. We are looking for an experienced Technical Product Manager to lead and drive the vision for our AI & Data team. As the TPM of this team, you will bridge the gap between our business objectives and technical implementation, working closely with data scientists, engineers, stakeholders and the … wider team to deliver cutting-edge solutions that solve customer problems. You'll be responsible for contributing to strategy, defining product requirements, setting priorities, and ensuring that our data products meet user needs while advancing our mission of making the world safer by empowering analysts with the right information at the right time. Scope of work: Lead the product … development lifecycle for our data and AI-powered analytics features, from conception to launch Create and maintain a strategic product roadmap for our data products aligned with company objectives Gather and prioritize requirements from stakeholders, users, and market research Write detailed product requirements documents (PRDs) and user stories for the development team Work closely with data scientists More ❯

role in the team Business Analytics Consultants (BACs) use a mix of business consulting, technical and solution implementation skills to help Allstate maximize (and accelerate) the business value of data and analytics. BACs work alongside data, analytics, business and technology stakeholders as integrators and translators to effectively, efficiently and consistently implement work across the company. This is a … solutions and processes to drive business decisions and solutions for the business vertical to which they are aligned. The BAC is also responsible for providing high complexity analytical and data driven solutions to key business stakeholders to address potential business problems and demonstrate value. Additionally, the BAC Sr Consultant will be exposed to the ins and outs of developing … data strategies for predictive analytic applications, fundamental skills of big data, data science and statistical learning methods and agile delivery methodologies. Key Responsibilities Drives clear product communications throughout the project/product process to all stakeholders involved regarding scope, timeline issues and any revisions to them. Drives and maintains partnerships through the development process to to More ❯

of incredible growth and success, which has culminated in receiving many prestigious awards, such as Best Places to Work and Vitality – Britain’s Healthiest Workplace. The Position The Digital, Data and IT, Research and Early Development (DD&IT-R&ED) team is on the lookout for a passionate and innovative Lead AI/ML Engineer with solid expertise in … working directly with AI/ML scientists on optimization and production deployment of solutions, creating blueprints, and acting as an internal consultant to transition ideas from prototype to production. Data Exploration & Visualization: Exploring and visualizing data to understand those and identify differences in data distribution that could affect model performance when deployed in real-world scenarios. Data Quality Assurance: Verifying data quality and ensuring it through data cleaning and ML validation strategies. Scalable Solutions: Building training pipelines and components to ensure scalable ML solutions, address errors, and provide education to upskill teams working on ML, enhancing MLOps proficiency. We offer a flexible hybrid working model with 2 days from home and 2-3 days More ❯

datasets to build a conversational chat bot. Tasks Key Responsibilities: Model Development: Retrain and fine-tune existing Large Language Models (LLMs) using proprietary datasets to meet specific business requirements. Data Integration: Work with data engineers and data scientists to curate, preprocess, and integrate company-specific data into LLMs. Model Evaluation: Design and execute experiments to evaluate … using metrics relevant to the business. Optimization: Implement model optimization techniques to improve efficiency, reduce latency, and enhance model scalability. Collaboration: Collaborate with cross-functional teams, including product managers, data scientists, and software engineers, to align AI solutions with business goals. Deployment: Assist in deploying LLMs into production environments, ensuring robust and scalable AI solutions. Requirements Qualifications: Experience … AI/ML development, with a focus on working with Large Language Models (e.g., GPT, BERT, Hugging Face, etc.). Education: Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field (or equivalent experience). Technical Skills: Proficiency in Python and deep learning frameworks (e.g., TensorFlow, PyTorch). Strong understanding More ❯

discovery, genomics, clinical trials, and more). Translate complex scientific and business problems into scalable ML pipelines using state-of-the-art techniques. Collaborate with cross-functional teams including data scientists, biologists, chemists, clinical researchers, and software engineers. Drive model interpretability, scalability, and reproducibility in high-stakes biomedical applications. Drive technical decision-making around architecture, model development, and data … validation, and responsible AI, especially in regulated biomedical environments. Lead initiatives focused on Generative AI and Agentic AI, developing AI agents that can reason, plan, and interact autonomously with data, tools, and systems. Mentor other engineers and data scientists; foster best practices around MLOps, experimentation tracking, and continuous integration. Why you? Basic Qualifications & Skills: We are looking for … professionals with these required skills to achieve our goals: PhD or Master's degree in computer science, Machine Learning, Statistics, Computational Biology, or a related quantitative field. Extensive experience in AI/ML engineering. Demonstrated experience working closely with business stakeholders in R&D, translating complex scientific challenges into AI solutions. Proficiency in Python and ML libraries (e.g., TensorFlow More ❯

role to join a highly respected global company. We are seeking a bright graduate with a minimum of 2 years post university experience in an analytical role using SQL. Data visualisation skills using Tableau/PowerBI/Excel is also essential, any consulting or modelling experience is desirable. Degrees such as Mathematics, Statistics, Physics, MORSE, Economics, Data Science etc. You should have a strong enthusiasm for problem solving and a passion for data. You will be expected to provide analytical expertise, seek to identify data gaps and proactively develop the data agenda in line with business priorities as well as challenge business leaders to become truly data driven. A positive thinker with plenty of … for this role. Good communication skills are a must along with ambition and hunger to develop Duties • Partner with core business areas to gain a deep understanding of their data, reporting, visualisation and analysis needs • Manage a portfolio of dashboards, visualisations and data sources, and the continuous improvement of these • Deliver robust and accurate data sets and More ❯

a set of key stakeholders Responsible for manging senior stakeholder relationships up to director level to ensure the analytical output is prioritised effectively Identify areas of improvement through analysing data and coordinating with other areas of the wider team Supporting stakeholders to measure the impact of key projects against planned budgets Influencing stakeholders to agree the right course of … post, you will Experience in commercial and customer analytics, ideally within the gambling/iGaming space. Have excellent understanding of promotional, marketing, operations analytics methodologies and ability to present data insights to non-technical stakeholders Have advanced analytics tools (e.g., SQL, Python, R) Have a degree in a relevant field (e.g., Data Science, Statistics, Mathematics, Computer Science More ❯

About us: SynMax is a pioneering geospatial data analytics company built on the principle of "Why guess when you can know." We deliver AI-powered intelligence to maritime and energy sectors, transforming satellite imagery, AIS feeds, and market data into actionable insights through our platforms: Hyperion (energy intelligence), Theia (maritime domain awareness), Leviaton (LNG tracking), and Vulcan (power … monitoring).With offices in Houston and London, we're a diverse team of engineers, data scientists, intelligence analysts, and industry experts dedicated to bringing transparency to traditionally opaque industries. Job Summary: We're seeking a talented Machine Learning Software Engineer to join our growing engineering team and help build industry-disrupting analytics platforms. You'll work at the intersection … of machine learning, data engineering, and large-scale data processing, applying AI to diverse datasets to solve complex real-world problems in energy and maritime intelligence. This is an exceptional opportunity for someone who thrives in a dynamic startup environment and wants to grow their career alongside a rapidly expanding company. As we scale, you'll have the More ❯

About KX: Our mission is to accelerate data and AI-driven innovation with high performance analytics solutions, enabling our customers to transform into AI-first enterprises. KX is trusted by the world's top investment banks & hedge funds, aerospace and defence, life and health sciences, semiconductor, telecommunications, and advanced manufacturing companies. Time series and vector data analytics and … management are at the heart of our products, independently benchmarked as the fastest on the market. They help our customers process data at unmatched speed and scale and empower LOB leaders, developers, data scientists, and data engineers to build high-performance data-driven applications and turbocharge their favourite analytics tools in the cloud, on premise, or … Role: As an Engineering Manager for Real-Time Analytics at KX, you'll lead a team dedicated to developing and enhancing our high-performance, scalable solutions for real-time data processing. Your leadership will be instrumental in driving the technical direction and growth of our real-time analytics offerings, ensuring they exceed the expectations of our diverse, global clientele. More ❯

of major pension funds, endowments, foundations, governments and other investors based in the U.S. and abroad. Position Overview: The successful candidate will work on some of the most challenging data science problems in Responsible Investing. In this role, you will help design custom solutions to meet clients' sustainability needs and develop an understanding of emerging ESG trends and … Write clear, concise answers to clients' and prospects' questions, based on knowledge of Acadian's processes and pertinent new research. Explore structured and unstructured datasets with a focus on data preparation, transformation, outlier detection, and feature engineering. Collaborate on the design of ESG constraints for client-driven investment solutions, help build predictive models and design interactive data applications. … We're Looking for Teammates With: Bachelor's degree in Quantitative Finance, Computer Science, Mathematics, Statistics, or a related STEM field, with 2+ years of experience on the buy-side or sell-side. Strong communication skills with the ability to translate complex analytical insights for both technical and non-technical audiences. Well-organized and detail-oriented, with a methodical More ❯

and maintaining ML models with performance alerts and dashboards Supporting CI/CD for ML pipelines Developing production-grade APIs (REST/gRPC) to serve models Collaborating with engineers, data scientists & DevOps teams Your Experience: Industry experience in DevOps or MLOps roles (ideally in AWS environments) Hands-on with Docker, Kubernetes, and Terraform Strong scripting skills in Python or … Points: Experience with observability frameworks like Prometheus or OpenTelemetry Knowledge of ML libraries: TensorFlow, PyTorch, HuggingFace Exposure to Azure or GCP Passion for financial services Requirements: Degree in Computer Science, Engineering, Data Science or similar What We Offer A collaborative and innovative work environment with awesome career growth opportunities 34 days holiday plus your birthday off (inclusive More ❯

and maintaining ML models with performance alerts and dashboards Supporting CI/CD for ML pipelines Developing production-grade APIs (REST/gRPC) to serve models Collaborating with engineers, data scientists & DevOps teams Your Experience: Industry experience in DevOps or MLOps roles (ideally in AWS environments) Hands-on with Docker, Kubernetes, and Terraform Strong scripting skills in Python or … Points: Experience with observability frameworks like Prometheus or OpenTelemetry Knowledge of ML libraries: TensorFlow, PyTorch, HuggingFace Exposure to Azure or GCP Passion for financial services Requirements: Degree in Computer Science, Engineering, Data Science or similar What We Offer A collaborative and innovative work environment with awesome career growth opportunities 34 days holiday plus your birthday off (inclusive More ❯

and maintaining ML models with performance alerts and dashboards Supporting CI/CD for ML pipelines Developing production-grade APIs (REST/gRPC) to serve models Collaborating with engineers, data scientists & DevOps teams Requirements Your Experience Industry experience in DevOps or MLOps roles (ideally in AWS environments) Hands-on with Docker, Kubernetes, and Terraform Strong scripting skills in Python … Points Experience with observability frameworks like Prometheus or OpenTelemetry Knowledge of ML libraries: TensorFlow, PyTorch, HuggingFace Exposure to Azure or GCP Passion for financial services Qualifications Degree in Computer Science, Engineering, Data Science, or similar What We Offer A collaborative and innovative work environment with excellent career growth opportunities 34 days holiday plus your birthday off (including More ❯

Python Developer Job Type: Permanent Location: London Salary: £55,000-£65,000 DOE Skills: Python, AWS, CI/CD, Docker Kubernetes, JavaScript Roc Search have partnered with a vibrant data focused agency in London. They are seeking an experienced Backend Engineer with a strong foundation in Python and object-oriented programming. In this role, you will be responsible for … designing, developing, and maintaining the server-side components of our software applications. You will collaborate closely with cross-functional teams, Data Engineers, Cloud Engineers, and Product stakeholders, to deliver scalable, secure, and efficient backend solutions. The ideal candidate will have solid experience in CI/CD pipelines, cloud infrastructure (especially AWS), and modern backend architectures. Familiarity with event-driven … microservice-based patterns is a plus. The team are also looking for someone who can bring experience or interest in AI Engineering to build intelligent services and working alongside Data Scientists to deploy scalable AI-driven features and applications. A familiarity with cloud-based AI/ML services in Snowflake Cortex or DOMO AI would be a strong advantage. More ❯