476 to 500 of 558 Permanent Data Scientist Jobs

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 More ❯

FJM Innovative Technologies, LLC is seeking a part-time Data Scientist to support a mission-critical program in Tysons, VA. The ideal candidate will possess extensive experience working within the US Intelligence Community (USIC), with a proven ability to address complex intelligence problems through innovative data strategies. This position requires strong technical expertise, operational knowledge, and advanced … analytic skills to support data-driven decision-making. Closing 8/6/2025 Location: Tysons, VA (On-Site) Must Have TS/SCI Clearance with a Full Scope Polygraph to qualify Key Responsibilities: • Collaborate across the USIC to identify and close intelligence gaps through data collection and analysis strategies. •Support SIGINT collection, analysis, and operations to enhance … complex intelligence problems. •Demonstrated experience supporting SIGINT collection, analysis, and operations. •Proficiency in SQL scripting and querying. •Demonstrated experience with Elastic Query Language and Kibana dashboards. •Demonstrated experience developing data systems, processes, or tools for complex datasets. •Demonstrated knowledge in advanced cyber operations, including internet protocols, IP addressing, and use of virtual machines/emulators. •Certification: Elastic Data More ❯

create cutting-edge technologies that will improve how we diagnose and treat brain disorders, ultimately improving and saving the lives of patients across the world. The Role: As a Data Scientist at CoMind, you will join a multidisciplinary team working at the intersection of neurophysiology, optics, machine learning, and signal processing. Your focus will be on analysing multidimensional … signals to derive actionable insights that inform product development and clinical decision-making. You will also work closely with the Translational Optics team on designing and running in-vivo data acquisition experiments. Please note that this role requires 4 days per week in the office. Responsibilities: Conduct exploratory data analysis on complex time-series datasets generated from clinical … systems and methods Design and validate algorithms for denoising, signal demixing, classification, and interpretation of neuromonitoring data. Collaborate with domain experts to translate clinical and physiological requirements into robust data analysis workflows. Write high-quality, well-tested Python code that meets industry standards for medical-grade software and supports FDA regulatory pathways. Produce clear and insightful white papers, documentation More ❯

policy enables all full-time employees to work up to 2 days a week from home as work permits. POSITION SUMMARY Infleqtion is recruiting a passionate and detail-driven Data Scientist to join our team, focusing on time series modelling and control systems. You'll be developing predictive algorithms, identifying dynamic patterns and anomalies, and building models that … help automate decision-making in real-time systems involving quantum sensors. This is a high-impact role bridging data science, physics and engineering disciplines. JOB RESPONSIBILITIES The duties and responsibilities outlined below include essential functions of the role. Depending on business needs, this role may perform a combination of some or all of the following duties. Design and implement … teams to integrate predictive models into live quantum sensors. Evaluate performance of deployed models and develop tools/pipelines to continuously refine them. Analyse large-scale sensor and telemetry data from quantum sensor systems Effectively manage technical priorities, meet deadlines, and deliver on project objectives. Masters degree in a STEM field (maths, science, engineering etc.) or equivalent Strong programming More ❯

Get started with your online application Not quite your dream role? Sign up to get notified when the right vacancy comes along. The Data & Science Org At Deliveroo we have an outstanding data science organisation, with a mission to enable the highest quality human and machine decision-making. We work throughout the company - in product, business and platform … teams - using analysis, experimentation, causal inference and machine learning techniques. We are uniquely placed to use data to help make better decisions and improve data literacy across Deliveroo. Data Scientists at Deliveroo report into our data science management team, and we have a highly active data science community, with guest lecturers, study groups, mentorship programmes … a robust technical review process, and plenty of opportunities to learn new things. Data Scientists can equally progress as technical leads (individual contributors) and as people managers. Our data scientists come from all kinds of backgrounds but have excellence in common. Many are formally trained in data science, many are not. We celebrate difference and have a More ❯

advanced analytics. With a passion for machine learning and a drive to stay ahead of the curve, you'll be instrumental in shaping the future as the industry evolves. Data and technology are at the heart of our business strategy, propelling our market-leading products forward with the support of a large, dedicated Data Science team that delivers … AI and machine learning in our Pricing Data Science department. Admiral is committed to leveraging Data & ML for the greater good, enhancing both customer and employee experiences. Our progressive ethos, core principles, and dedication to diversity and inclusion cultivate an idea-rich atmosphere where innovation thrives, and every voice is heard. With millions of customer interactions daily, the … opportunities to leverage data for transformation are endless. Our work spans a variety of approaches, dealing with both structured and unstructured data challenges. Through harnessing the power of Google Cloud and Vertex AI, we're at the forefront of insurance data innovation, developing and monitoring cutting-edge models that drive our business forward. Your Role In Action More ❯

Scientist – Loss Modelling (Physical Risk from Weather and Climate) London – Hybrid Up to £80,000 About the Role Our client is building global-scale models to assess the physical risks of climate change and is looking for a Scientist with expertise in applied statistics and physical loss modelling. This role is ideal for someone experienced in natural catastrophe … Key Responsibilities Develop loss models to quantify climate-related risks, with a focus on estimating asset vulnerabilities. Calibrate and validate models using a wide range of qualitative and quantitative data sources. Contribute to building a robust and adaptable loss modelling framework. Document methodologies and communicate scientific insights to stakeholders, clients, and at industry events and conferences. What We’re … Looking For Experience building and calibrating statistical/mathematical loss models, ideally across multiple perils. Proficiency with geospatial data (climate and Earth observation) and economic damage datasets. Strong programming skills in Python, R, or a similar language. Excellent communication skills, able to explain complex concepts to non-technical audiences. A self-starter who thrives in a fast-paced R More ❯

Scientist – Loss Modelling (Physical Risk from Weather and Climate) London – Hybrid Up to £80,000 About the Role Our client is building global-scale models to assess the physical risks of climate change and is looking for a Scientist with expertise in applied statistics and physical loss modelling. This role is ideal for someone experienced in natural catastrophe … Key Responsibilities Develop loss models to quantify climate-related risks, with a focus on estimating asset vulnerabilities. Calibrate and validate models using a wide range of qualitative and quantitative data sources. Contribute to building a robust and adaptable loss modelling framework. Document methodologies and communicate scientific insights to stakeholders, clients, and at industry events and conferences. What We’re … Looking For Experience building and calibrating statistical/mathematical loss models, ideally across multiple perils. Proficiency with geospatial data (climate and Earth observation) and economic damage datasets. Strong programming skills in Python, R, or a similar language. Excellent communication skills, able to explain complex concepts to non-technical audiences. A self-starter who thrives in a fast-paced R More ❯

Key Responsibilities: 1. Data Analysis: Collect, analyze, and interpret large data sets to identify trends and patterns. 2. Predictive Modeling: Develop predictive models to forecast future trends and outcomes. 3. Data Visualization: Create data visualizations to communicate findings to stakeholders. 4. Insight Generation: Identify opportunities for business growth and improvement through data-driven insights. 5. … Collaboration: Collaborate with cross-functional teams to implement data-driven solutions. Work Areas: 1. Business Analytics: Work in business analytics, analyzing data to inform business decisions. 2. Research and Development: Work in research and development, applying data science to solve complex problems. 3. Finance and Economics: Work in finance and economics, analyzing data to understand market More ❯

We're looking for a Principal Data Scientist to lead the design of AI systems that can support complex, multi-step tasks, use tools, adapt to context, and make intelligent decisions. You'll work closely with product and engineering to architect LLM-powered features that are robust, useful, and production-ready not just impressive demos. This role is … ideal for someone who not only understands data and AI deeply but also brings strong software engineering instincts. Someone who can design intelligent systems that operate reliably and scalably within a complex product environment. What you'll be doing You will explore and implement RAG or Graph RAG approaches to improve retrieval quality and reasoning in LLM workflows, including … to reason about multi-hop question answering, graph traversal, and integrating structured retrieval with LLM prompts. Performance over time. 5+ years experience in applied AI, machine learning systems, or data science roles with production responsibility. Proficiency in Python, with experience building and maintaining AI systems, not just analyses. Experience working in Java or TypeScript environments beneficial. Experience with Claude More ❯

I'm working with a rapidly growing insurance business that's looking to hire a Modelling Specialist/Pricing Data Scientist to help elevate their technical pricing capability. This is a high-impact hire within a collaborative team that values innovation and fast decision-making. The company has a strong reputation in specialist motor insurance and is investing … in modernising its pricing approach across multiple product lines. You'll play a key role in: Building and testing predictive models using Python and Databricks Exploring and integrating external data enrichments Contributing to model validation and peer code reviews Supporting pricing decisions that directly impact business growth and profitability Ideal candidate 2-8 years of experience in general insurance … pricing (personal lines preferred) Strong Python skills for modelling, data manipulation, and code quality Experience with GLMs, machine learning techniques, and feature engineering Sharp analytical thinker, highly collaborative and commercially minded Strong academic background in a STEM discipline What Makes This Unique True ownership and autonomy - influence business-critical decisions Diverse range of products and high exposure to multiple More ❯

Our client is seeking a Cryptanalytic Computer/Data Scientist to provide technical expertise in support of a U.S. Government customer. This full-time position involves working on mission-critical software and systems to support a large government contract. Responsibilities: • Utilize mathematical models, methods, and techniques to analyze and solve problems. • Contribute to the development of cryptanalytic software. More ❯

Social network you want to login/join with: At Deliveroo we have an outstanding data science organisation, with a mission to enable the highest quality human and machine decision-making. We work throughout the company - in product, business and platform teams - using analysis, experimentation, causal inference and machine learning techniques. We are uniquely placed to use data to help make better decisions and improve data literacy across Deliveroo. Data Scientists at Deliveroo report into our data science management team, and we have a highly active data science community, with guest lecturers, study groups, mentorship programmes, a robust technical review process, and plenty of opportunities to learn new things. Data Scientists can … equally progress as technical leads (individual contributors) and as people managers. Our data scientists come from all kinds of backgrounds but have excellence in common. Many are formally trained in data science, many are not. We celebrate difference and have a dedicated data science diversity committee. As an Economist at Deliveroo you will help scale our business More ❯

Description 9 Months Fixed Term Contract The Data Science role is responsible for using Data Science and modelling techniques to address critical questions for both the business and our customers. This includes understanding the challenges our customers face with regards to electric vehicle (EV) adoption, understanding how rising costs will impact customers' affordability thresholds and identifying key data points that indicate potential misuse of the Scheme. These are some of the primary issues that this role will help resolve. The role sits within the Data Science and Analytics team and will be primarily focused on using data to identify potential misuse of the Motability Scheme. The postholder will collaborate with key stakeholders within the business … to understand and agree requirements for data can be used to help the business make decisions on tackling this key issue. On a day-to-day basis, the postholder will be tasked with using their technical skills to help the team deliver key pieces of analyses relating to understanding and predicting customer behaviour. They will also work on turning More ❯

About The Role 9 Months Fixed Term Contract The Data Science role is responsible for using Data Science and modelling techniques to address critical questions for both the business and our customers. This includes understanding the challenges our customers face with regards to electric vehicle (EV) adoption, understanding how rising costs will impact customers' affordability thresholds and identifying … key data points that indicate potential misuse of the Scheme. These are some of the primary issues that this role will help resolve. The role sits within the Data Science and Analytics team and will be primarily focused on using data to identify potential misuse of the Motability Scheme. The postholder will collaborate with key stakeholders within … the business to understand and agree requirements for data can be used to help the business make decisions on tackling this key issue. On a day-to-day basis, the postholder will be tasked with using their technical skills to help the team deliver key pieces of analyses relating to understanding and predicting customer behaviour. They will also work More ❯

this as a significant strength, and it shows: ATS is consistently ranked as a top workplace among DC area firms and continues to grow. We are actively seeking a Data Scientist L3 to join our team working in Maryland. In this role, you will be automating workflows, data manipulation and visualization. Seeking Python and Jupyter Notebook experience. More ❯

Are you ready to bring your data science skills to the Pacific? We're hiring Data Scientists to join a mission-driven team in Hawaii where you'll help transform how analytics are developed, executed, and scaled. This role emphasizes automation, data parsing, and workflow development, and offers the opportunity to have a direct impact by optimizing … how critical data flows across systems. What You'll Do - Develop and implement automated analytic workflows to improve processing efficiency and reliability. - Parse and structure complex data from a variety of sources into usable formats. - Work closely with mission analysts and data engineers to understand operational data flows and improve them. - Build scalable, modular tools using … Python to enable rapid development of analytics. - Identify bottlenecks in existing data processes and propose automation or simplification strategies. - Ensure analytic products are reproducible, maintainable, and well-documented. Required Skills - 3 years of experience with a Bachelor's in a technical field, preferably Mathematics - Proficiency in Python for data parsing, automation, and analytic scripting. - Strong understanding of data More ❯

Your new company Specialty Lines insurer (confidential) Your new role I'm working with a specialty lines insurer, who are looking for a junior data scientist/actuarial student with proficient python skills to drive process automation initiatives. This exciting role includes the opportunity for actuarial study support for those inclined towards actuarial exams. What you'll need More ❯

and is now utilized by some of the most innovative companies worldwide. It is an area I find fascinating. While some aspects of NLP may seem straightforward to a Data Scientist, they can be quite complex and impressive to others trying to understand the capabilities of modern computers. I do not claim to be an NLP expert myself More ❯

We are looking for a junior or medior data science engineer to complement our data science team working with many of our industrial customers from various sectors, including (petro-) chemical, paper and pulp, automotive, metallurgy, telecom and food-and beverage. You will use various ML/AI/data science libraries and work on a variety of … to use various state of the art technologies including Elastic, Kafka, Kubernetes and Luigi. Finally, you will have the opportunity to look behind the scenes of many domains and data . What are your responsibilities? You Will Typically Work Together With a More Senior Member Of The Team On Projects And Your Day Job Typically Consists Of In this … job, you will use and extend a broad set of data science and software skills. Help build and improve the algorithms in scalable manner for AI-based anomaly detection and predictive modelling Apply and sometimes (co-)invent and implement AI/ML algorithms for processing various types of data (timeseries, tabular etc) Development of computer models and doing More ❯

You'll bring the expertise. We'll provide the platform to succeed. Ready? It's time to do your thing. Who you'll be working with: Liberty IT's Data Science group partners directly with business stakeholders and global data science teams to create solutions for large business problems. You will collaborate closely with experienced data scientists … focusing on advanced challenges such as entity resolution at scale and graph modelling with Neo4J to produce graphical representations of potential fraud rings. Our Data Scientists research and apply advanced techniques in Machine Learning, Natural Language Processing, Deep Learning, and Computer Vision to understand how we can utilise data across all components of insurance, for example in managing … risk, and build solutions that enable Liberty Mutual to achieve this. You will have opportunities to learn from and contribute alongside expert data scientists, and to coach and mentor emerging talent. Experience and skills we need: A third level qualification in Mathematics, Computer Science, Statistics or another quantitative field. A minimum of two years' postgraduate relevant Data Science More ❯

working with customers, teammates, and fueling your curiosity for the latest trends in LLMs, MLOps, and ML more broadly. The impact you will have: Develop LLM solutions on customer data, such as RAG architectures on enterprise knowledge repos, querying structured data with natural language, and content generation Build, scale, and optimize customer data science workloads and apply … best-in-class MLOps to productionize these workloads across a variety of domains Advise data teams on various data science topics such as architecture, tooling, and best practices Present at conferences such as Data+AI Summit Provide technical mentorship to the larger ML SME community in Databricks Collaborate cross-functionally with the product and engineering teams to define priorities … we look for: Experience building Generative AI applications, including RAG, agents, text2sql, fine-tuning, and deploying LLMs, with tools such as HuggingFace, Langchain, and OpenAI Extensive hands-on industry data science experience, leveraging typical machine learning and data science tools including pandas, scikit-learn, and TensorFlow/PyTorch Experience building production-grade machine learning deployments on AWS, Azure More ❯

any form of bias. This is vital to our ability to work as one team, with a common goal. The Role You will play a critical role in developing data-driven solutions to solve complex challenges within the legal sector, delivering real business value to Linklaters and its clients. Key responsibilities: Assist in developing, testing, and refining data science models using established methods such as classification, regression, clustering, and natural language processing. Work closely with other data scientists, legal practice teams, and business stakeholders to understand requirements and contribute to use case development. Support the preparation and cleaning of structured and unstructured data for analysis using Python and SQL. Contribute to exploratory data analysis … scripts and notebooks for reproducible analysis and insights. Help build and test machine learning pipelines in alignment with the firm's Azure-based architecture. Use Power BI or other data visualisation tools to support storytelling and insight delivery. Follow best practices in code versioning using Azure DevOps and assist in maintaining collaborative code repositories. Support the testing and monitoring More ❯

The TVC Analyst will play a crucial role in transforming complex data sets into actionable insights, contributing to projects that have a social impact. The role involves addressing stakeholder requests and developing a robust data analysis infrastructure. Key responsibilities: • Impact Analysis: Design and execute in-depth analyses to measure the impact of various projects in to-be-determined … efforts. • Insight Communication: Translate complex data findings into clear, visually compelling reports and dashboards customised for a diverse set of collaborators. • Ad Hoc Analysis: Provide prompt and accurate responses to data-driven queries from various collaborators. • Collaboration: Work closely with teams to identify data needs and support project objectives through impactful insights. • Data Infrastructure Development: Develop … and maintain data pipelines for clean, organised, and accessible data. Role requirements: • Programming Proficiency: Mastery in data analysis tools such as SQL and Python. • Statistical Expertise: Understanding of statistical techniques like hypothesis testing, regression modelling, and experimental design. • Data Storytelling: Translate technical findings into understandable narratives and visuals for a non-technical audience. • Problem-Solving: Analytical mindset More ❯

working with customers, teammates, and fueling your curiosity for the latest trends in LLMs, MLOps, and ML more broadly. The impact you will have: Develop LLM solutions on customer data such as RAG architectures on enterprise knowledge repos, querying structured data with natural language, and content generation Build, scale, and optimize customer data science workloads and apply … best in class MLOps to productionize these workloads across a variety of domains Advise data teams on various data science such as architecture, tooling, and best practices Present at conferences such as Data+AI Summit Provide technical mentorship to the larger ML SME community in Databricks Collaborate cross-functionally with the product and engineering teams to define priorities and … we look for: Experience building Generative AI applications, including RAG, agents, text2sql, fine-tuning, and deploying LLMs, with tools such as HuggingFace, Langchain, and OpenAI Extensive hands-on industry data science experience, leveraging typical machine learning and data science tools including pandas, scikit-learn, and TensorFlow/PyTorch Experience building production-grade machine learning deployments on AWS, Azure More ❯