1,826 to 1,850 of 2,889 Permanent Data Science Jobs

of Hampshire. The Role: You will be working in our vital third-level application development and support team who are involved in Application Integration, Customer Relationship Management, Low Code, Data Science/AI, Data Analytics, Geographic Information Mapping and other key information development projects; occupying a vital role designing, building and implementing new technologies for Hampshire County More ❯

you enjoy solving technical cyber problems and identifying vulnerabilities? As part of our client's expanding National Security division, you'll contribute to high-impact missions across AI/Data Science, Cybersecurity, Cloud, DevOps, and Platform Engineering. We're seeking inquisitive individuals who excel at dissecting technical systems, not just to understand how they work, but to identify More ❯

The Swift Group is a privately held, mission-driven and employee-focused services and solutions company headquartered in Reston, VA. Our capabilities include Software Development, Engineering & IT, Data Science, Cyber Enablement, Logistics, and Training. Founded in 2019, Swift supports Civilian, Defense, and Intelligence Community customers across the country and around the globe. Are you a highly experienced Network More ❯

AWS Cloud Developer Washington, DC We are seeking a Redshift Developer or Oracle Developer with AWS experience (Top Secret clearance required) to join a data warehouse and business intelligence (BI) development team supporting our federal client working to migrate an on-prem Oracle Enterprise Edition (EE) data warehouse to Redshift instance in AWS. This is a full-time … position with on-site work performed at the client's office located in Washington, D.C. Responsibilities: Work hand-in-hand with our AWS Solutions Architect and Data Warehouse Engineer to configure and implement existing on-prem data warehouse infrastructure to AWS Redshift. Develop and create tables, views, materialized views, indexes, constraints, and PL/SQL based ETL routines … system and ensure the ETL runs as efficiently as possible. Develop, implement, and maintain development and production environments. Develop Lambda functions, python code and ETL SQL procedures to retrieve data from source systems to AWS Redshift. Work in a fast-paced Agile environment with fluid requirements and changing priorities. Requirements: On-site Washington, D.C. Top Secret clearance required. Four More ❯

Interview Process: 3 stages We're working with a UK-based healthtech company looking for a Lead AI Engineer. This role sits within a cross-functional Data & AI team, focused on taking NLP projects into production and improving system design and infrastructure. You’ll also guide a small technical team (2–3 people), but the focus remains deeply technical … ideal for someone from a software engineering background. What you'll do: Build and scale NLP/document processing pipelines using microservices Lead 2–3 reports (data scientists + AIOps engineer) Set engineering standards and lead architecture, code reviews, and deployment Work with DevOps, product, and data teams to deliver production-ready solutions What you’ll need: Strong … Python and experience with PyTorch or TensorFlow Solid understanding of REST APIs, CI/CD, Docker, Kubernetes, and AWS Proven delivery of NLP/OCR projects with unstructured data Experience managing or mentoring engineers Bonus points for: Experience in regulated domains Knowledge of semantic search, graph/vector databases Java or C# background and understanding of SOLID principles 📩 Interested More ❯

Interview Process: 3 stages We're working with a UK-based healthtech company looking for a Lead AI Engineer. This role sits within a cross-functional Data & AI team, focused on taking NLP projects into production and improving system design and infrastructure. You’ll also guide a small technical team (2–3 people), but the focus remains deeply technical … ideal for someone from a software engineering background. What you'll do: Build and scale NLP/document processing pipelines using microservices Lead 2–3 reports (data scientists + AIOps engineer) Set engineering standards and lead architecture, code reviews, and deployment Work with DevOps, product, and data teams to deliver production-ready solutions What you’ll need: Strong … Python and experience with PyTorch or TensorFlow Solid understanding of REST APIs, CI/CD, Docker, Kubernetes, and AWS Proven delivery of NLP/OCR projects with unstructured data Experience managing or mentoring engineers Bonus points for: Experience in regulated domains Knowledge of semantic search, graph/vector databases Java or C# background and understanding of SOLID principles 📩 Interested More ❯

Job Title: Actuarial Analyst Location: London/Hybrid Employment Type: Contract/Perm options Key Responsibilities: Assist in developing and maintaining actuarial models for pricing, reserving, and forecasting. Perform data analysis and manipulation using actuarial software and tools (e.g., Excel, SQL, R, Python). Support client projects involving risk modeling, product development, and portfolio analysis. Collaborate with cross-functional … teams including underwriters, data scientists, and software developers. Interpret insurance data and trends to support strategic decision-making. Prepare reports, presentations, and documentation for internal stakeholders and client delivery. Stay updated with regulatory changes, market trends, and actuarial best practices. Required Skills & Experience: Production grade Python experience 2+ years of predictive modelling and advanced analytics methods experience Experience More ❯

Job Title: Actuarial Analyst Location: London/Hybrid Employment Type: Contract/Perm options Key Responsibilities: Assist in developing and maintaining actuarial models for pricing, reserving, and forecasting. Perform data analysis and manipulation using actuarial software and tools (e.g., Excel, SQL, R, Python). Support client projects involving risk modeling, product development, and portfolio analysis. Collaborate with cross-functional … teams including underwriters, data scientists, and software developers. Interpret insurance data and trends to support strategic decision-making. Prepare reports, presentations, and documentation for internal stakeholders and client delivery. Stay updated with regulatory changes, market trends, and actuarial best practices. Required Skills & Experience: Production grade Python experience 2+ years of predictive modelling and advanced analytics methods experience Experience More ❯

how companies get funding and optimise their working capital. Our client aims to change how corporate finance works, by replacing static, limited and often stale financial metrics with live data-driven insights sourced from direct connections to their clients systems. You will be joining a strong team of Python Engineers, Data Scientists, and financial experts, who are building … Python Software Engineer, you will contribute to the design, development, and delivery of scalable, high-impact features across our platform. Youll work closely with experienced engineers, product managers, and data scientists to build reliable systems that solve complex financial problems. This role offers an excellent opportunity to deepen your technical expertise, take ownership of individual projects, and grow in … Tech: Python, FastAPI, Pydantic, PostgreSQL, AWS DevOps tools: Kubernetes, Docker,Terraform, Jenkins Very strong software engineering principles Enthusiasm for startup environment and cross-functional teams Passion for automation and data infrastructure More ❯

you want to build and deploy advanced algorithmic systems that help optimize millions of transactions every day? Are you excited by the prospect of analyzing and modeling terabytes of data to solve real world problems? Do you like to own end-to-end business problems/metrics and directly impact the profitability of the company? Do you like to … innovate and simplify? If yes, then you may be a great fit to join the Machine Learning and Data Sciences team for India Consumer Businesses. If you have an entrepreneurial spirit, know how to deliver, love to work with data, are deeply technical, highly innovative and long for the opportunity to build solutions to challenging problems that directly … you. Major responsibilities - Use machine learning and analytical techniques to create scalable solutions for business problems - Analyze and extract relevant information from large amounts of Amazon's historical business data to help automate and optimize key processes - Design, development, evaluate and deploy innovative and highly scalable models for predictive learning - Research and implement novel machine learning and statistical approaches More ❯

led approach to Distribution across Marketing, Sales and Client Management. Sitting within the Distribution business management function (DSG), the Distribution Insight team are the powerhouse driving our approach to data-driven, insight led decision-making and commercial execution. In this senior role you will lead our efforts in this space, partnering with distribution leadership, enterprise tech/data … development campaign insight, sales funnel optimization & implementing AI capabilities across the spectrum of marketing, sales & client management functions. You're likely an evangelist for story telling through creative, compelling data visualization, able to see simple patterns and connections where others see complexity and relish in the ability to bring people on the journey. You'll have a keen interest … across Sales, Marketing and Client Management to understand business needs and opportunities, then developing ideas and solutions to solve for them. Building/running the Distribution Insight team, comprising data scientists and insight product management across the UK and India. Leading the 'insight sales' strategy and providing clear visibility to Distribution leadership, outlining the vision, the investment required to More ❯

prepares employees to work with artificial intelligence (AI). One of BCAI's many training offerings is the 18-month expert program, in which employees develop into experts in data engineering and data science. "In a few years, software competence will be standard for every engineer", says Máté. As part of the expert program, the group leader is … training to become a data engineer. A data engineer's job is to organize, cleanse and make data available to others for use in training an artificial intelligence, for example. "As a leader, I feel a responsibility to educate myself in the field and be a role model. I didn't know anything about professional software development … vibrations or extreme temperatures, for example. In the future, the test reports should be generated automatically. He is bringing this project into the advanced training program to become a data engineer. The idea: "The data pipeline begins with the collection, conversion and structured storage of raw data. By means of AI, relevant data is automatically printed in More ❯

partnerships, access to technology, training, and certifications to plan, integrate and manage large-scale, mission-critical IT programs. 5+ years of experience working in the field of analytics, big data and artificial intelligence supporting infrastructure deployment, setup and configuration, ideally through automation. • 2+ years of experience working with the Starburst tool suite. Ability to engage database administrators, warehouse designers … warehouse developers and data scientists to utilize this tool. • Experienced in performance tuning Starburst to provide business critical functions. • Very good knowledge of writing production-ready Starburst queries and operationalizing Starburst connectors ensuring high availability and upgrade management. Extensive knowledge of SQL query language. • Knowledge of best practices for the Starburst environment in terms of security and governance. • Good … understanding of Stargate and Starburst clustering. • Very good knowledge of troubleshooting complex data environments, especially environments with multiple heterogenous data sources. • Good knowledge of warehousing and ETLs. Extensive knowledge of popular database providers such as SQL Server, PostgreSQL, Teradata and others. • Proficiency in technologies in the Apache Hadoop ecosystem, especially Hive, Impala and Ranger • Experience working with open More ❯

cases, and setting measurable goals to influence pipeline and generate significant growth across all AI-related products and segments. Our objective is to position PlatformDIGITAL as the leading global data center provider that seamlessly integrates AI with cloud, core, and edge infrastructure, empowering intelligent digital businesses and addressing the challenges of data gravity. What you'll do The … joint AI go-to-market strategies and operationalize them with Digital Realty sellers. What Youll Need Broad expertise in digital business and AI Evangelism , with a deep understanding of data and applications, networking, cloud architectures, and AI technologies. Superior communication skills , with the ability to articulate complex AI concepts and solutions creatively and effectively. Strong presentation and writing skills … are essential. 10+ years of experience in data center, networking, applications, data sciences, or AI-related technology. Understanding of SDN and SD data center infrastructure , and how AI can be integrated to optimize these environments. Proficiency in cloud capabilities (public, private, and hybrid) , with a focus on AI deployment and management within these frameworks. Knowledge of network More ❯

seek those looking to make a severe impact and are excited about working in a high-growth startup. We ship fast, continuously, and iteratively, learning each step. We are data-informed. And are ok with finding the data when it's missing. Our products We have a suite of API products that automate tax-related workflows for any … internet company. Those products are Lookup , Tax , Returns , Data sharing and E-Invoicing . We may discover novel customer needs as we learn and spin up new products as required. Our API docs For you as an engineer, API documentation is probably an important part when considering a new career move. Thanks to the API docs, you can recognise … product features across the stack, from back-end business logic implementation to front-end customer-facing interfaces. You would be a great fit if You have experience working with data scientists and data engineers. You have a good understanding of how machine learning works and can bring this expertise to Fonoa. You have experience working with LLMs, including More ❯

seek those looking to make a severe impact and are excited about working in a high-growth startup. We ship fast, continuously, and iteratively, learning each step. We are data-informed. And are ok with finding the data when it’s missing. Our products We have a suite of API products that automate tax-related workflows for any … internet company. Those products are Lookup , Tax , Returns , Data sharing and E-Invoicing . We may discover novel customer needs as we learn and spin up new products as required. Our API docs For you as an engineer, API documentation is probably an important part when considering a new career move. Thanks to the API docs, you can recognise … product features across the stack, from back-end business logic implementation to front-end customer-facing interfaces. You would be a great fit if You have experience working with data scientists and data engineers. You have a good understanding of how machine learning works and can bring this expertise to Fonoa. You have experience working with LLMs, including More ❯

remote members, through the entire product lifecycle. Take ownership of product discovery, strategic roadmaps, and execution while aligning them with business goals and customer needs. Collaborate with designers, engineers, data scientists, and other key stakeholders to develop new features and optimize existing products. Prioritize new features and enhancements using robust product management frameworks. Conduct in-depth user research and … leverage data insights to define problems and validate solutions. Drive decision-making by setting clear priorities and using data (quantitative and qualitative) to measure success. Communicate product strategy, status updates, and potential risks to executive leadership and internal teams. Cultivate solid connections between the sales, marketing, and customer service departments to promote product-focused mindsets across the enterprise. … product strategy, roadmap development, and agile methodologies Demonstrated experience working in cross-functional teams and leading through influence, not authority. Expertise in user research, A/B testing, and data analysis to guide decision-making and product development. Skilled in critical assessment and oversight, with expertise in setting up and supervising key performance indicators and measures of achievement. Passion More ❯

remote members, through the entire product lifecycle. Take ownership of product discovery, strategic roadmaps, and execution while aligning them with business goals and customer needs. Collaborate with designers, engineers, data scientists, and other key stakeholders to develop new features and optimize existing products. Prioritize new features and enhancements using robust product management frameworks. Conduct in-depth user research and … leverage data insights to define problems and validate solutions. Drive decision-making by setting clear priorities and using data (quantitative and qualitative) to measure success. Communicate product strategy, status updates, and potential risks to executive leadership and internal teams. Cultivate solid connections between the sales, marketing, and customer service departments to promote product-focused mindsets across the enterprise. … product strategy, roadmap development, and agile methodologies Demonstrated experience working in cross-functional teams and leading through influence, not authority. Expertise in user research, A/B testing, and data analysis to guide decision-making and product development. Skilled in critical assessment and oversight, with expertise in setting up and supervising key performance indicators and measures of achievement. Passion More ❯

remote members, through the entire product lifecycle. Take ownership of product discovery, strategic roadmaps, and execution while aligning them with business goals and customer needs. Collaborate with designers, engineers, data scientists, and other key stakeholders to develop new features and optimize existing products. Prioritize new features and enhancements using robust product management frameworks. Conduct in-depth user research and … leverage data insights to define problems and validate solutions. Drive decision-making by setting clear priorities and using data (quantitative and qualitative) to measure success. Communicate product strategy, status updates, and potential risks to executive leadership and internal teams. Cultivate solid connections between the sales, marketing, and customer service departments to promote product-focused mindsets across the enterprise. … product strategy, roadmap development, and agile methodologies Demonstrated experience working in cross-functional teams and leading through influence, not authority. Expertise in user research, A/B testing, and data analysis to guide decision-making and product development. Skilled in critical assessment and oversight, with expertise in setting up and supervising key performance indicators and measures of achievement. Passion More ❯

pre-sale stage to post-implementation, ensuring our solutions meet and exceed client expectations. In this role, you'll manage daily customer relations involving multiple stakeholders (CEO/CTO, data scientists, and software engineers) and function as a key resource in externalizing our research in production settings. What you will do • Work in collaboration with our researchers, other AI … Maintain a suite of technical packages, including scientific tooling design to help customers. About you • You are fluent in English • You hold a PhD/master in AI/data science. • You have 2+ years as a technical individual contributor (data scientist or software engineer) on AI-based products • You have experience in Fine Tuning LLMs, tackling advanced More ❯

design of artificial hearts, reducing CO 2 emissions from aircraft and road vehicles, or increasing the performance of wind turbines. The Role PhysicsX is developing a platform used by Data Scientists and Simulation Engineers to build, train and deploy Deep Physics Models. The core of this platform is powered by several Machine Learning Python Libraries handling everything from data … maintaining widely-used internal or open-source libraries. Familiarity with the machine learning development lifecycle and core concepts (e.g., bias-variance tradeoff, common optimizers). Familiarity with 3D geometric data structures and algorithms. What we offer Equity options - share in our success and growth. 10% employer pension contribution - invest in your future. Free office lunches - great food to fuel More ❯

. This role will support our web products including Core Analytics, Wildfire, and Program Planning. Our product teams are cross functional and will typically include: product managers, designers, engineers, data scientists and subject matter experts relating to the teams domain. You will be accountable for the technical and delivery outcomes of your area. You will challenge your teams to … deep technically when required and leverage your extensive experience as an engineer to drive good technical decisions and solutions. What you will do Enable our Vegetation Management Experience and Data Ingestion teams to become highly productive cross-functional teams that ship a high quality product on a daily basis. Grow the teams by attracting great talent from your network. … technology At least 2 years experience leading and managing engineers across multiple teams Experience working with the following (or similar) technologies: React/Typescript, Python/fastAPI, Postgres DB, Data pipelines) Comfortable working in a build it, run it environment (GCP, cloud run, grafana, k8s) - or similar. Strong leadership skills with the ability to mentor and coach engineers at More ❯

Excellent communication skills and proven ability to collaborate across cross-functional teams Bonus: Prior experience with computer vision tasks (e.g., object detection, OCR, image classification) or retail/merchandising data Working Hours: Ability to maintain at least a 50% overlap with US working hours (PST timezone) to coordinate with the US team and support both US and EU clients. … financial crime prevention, manufacturing, media, and IT service management. Since its founding in 2017, SymphonyAI today serves 1500+ Enterprise customers globally and has grown to 3,000 talented leaders, data scientists, and other professionals across over 30 countries. Visit here , for more information about how we hire, what's in it for you, our culture and values. More ❯

Working knowledge of many of the following areas, with deep expertise and experience in at least three: System Architecture, IT Operations, Networking, ITIL Framework, DevSecOps, Application Development, Agile Methodologies, Data Sciences, Data Analytics, Artificial Intelligence, Robotic Process Automation, Information Assurance, Zero Trust Architecture or Cyber Security Demonstrated experience evaluating, recommending, and developing proposed improvements for legacy systems. Demonstrated More ❯

time to other critical aspects of their business. Our Team: Globally, ANNA Money boasts a diverse team of approximately 150 professionals, primarily consisting of adept software developers and innovative data scientists dedicated to advancing our product offerings. Presently, over 100,000 customers trust ANNA for their banking and administrative needs. Our Approach: We pride ourselves on remaining at the … Requirements: Experience developing software in one or more programming languages from the list (Python, Java, C#, Go) 7+ years of software engineering experience in an industrial setting Experience with data structures or algorithms Excellent verbal communication skills. Good problem-solving skills. Team player. Preferred qualifications: Proficiency in Python with experience in asynchronous frameworks (aio fastapi, etc) Experience with Docker More ❯