1,151 to 1,175 of 1,356 Data Science Jobs

Back End, Full Stack, Computer Programmer, Computer Systems Engineer, Systems Analyst, Programmer Analyst, Database Administrator, Front-end Developer, Mobile App Developer, Software Developer, Data Scientist, Cloud Engineer. ...

Back End, Full Stack, Computer Programmer, Computer Systems Engineer, Systems Analyst, Programmer Analyst, Database Administrator, Front-end Developer, Mobile App Developer, Software Developer, Data Scientist, Cloud Engineer. ...

Back End, Full Stack, Computer Programmer, Computer Systems Engineer, Systems Analyst, Programmer Analyst, Database Administrator, Front-end Developer, Mobile App Developer, Software Developer, Data Scientist, Cloud Engineer. ...

Back End, Full Stack, Computer Programmer, Computer Systems Engineer, Systems Analyst, Programmer Analyst, Database Administrator, Front-end Developer, Mobile App Developer, Software Developer, Data Scientist, Cloud Engineer. ...

Back End, Full Stack, Computer Programmer, Computer Systems Engineer, Systems Analyst, Programmer Analyst, Database Administrator, Front-end Developer, Mobile App Developer, Software Developer, Data Scientist, Cloud Engineer. ...

Back End, Full Stack, Computer Programmer, Computer Systems Engineer, Systems Analyst, Programmer Analyst, Database Administrator, Front-end Developer, Mobile App Developer, Software Developer, Data Scientist, Cloud Engineer. ...

ambiguity and pace of the sector Managing a practice within a practice - leading cross-functional teams of delivery experts, PhD-calibre engineers and data scientists to further consolidate Faculty’s reputation for pioneering technical and delivery excellence. Who we\'re looking for: You possess a distinct point of view ...

ready to start a new career in Data Analysis? The demand for Data Analysts has grown by 20% annually, with experienced professionals earning salaries upwards of £58,000. In today’s digital world, data is critical to business decision-making, making the role of a Data Analyst indispensable. As skills shortages continue to grow, the demand for qualified entry-level professionals is on the rise. With our Data Analytics career programme we will provide you with: 8 training modules: Excel, SQL, Python, R, Tableau, Power BI, CompTIA Data+ & Azure AI Fundamentals 3 official examinations ...

Azure), containerization technologies (e.g., Docker, ECS, Kubernetes), and MLOps practices Proficiency in databases (e.g., PostgreSQL, MongoDB) and caching systems (e.g., Redis, Memcached) for scalable data storage and retrieval Familiarity with Python for collaborating on machine learning workflows and integrating Python-based AI tools is preferred Excellent problem-solving skills … with business goals Effective communication and collaboration skills, with demonstrated experience working across cross-functional teams Education Bachelor s degree or higher in Computer Science, Software Engineering, or a related field. Responsibilities As a Software Engineer specializing in AI systems, you will play a key role in designing ...

Azure), containerization technologies (e.G., Docker, ECS, Kubernetes), and MLOps practices\ NProficiency in databases (e.G., PostgreSQL, MongoDB) and caching systems (e.G., Redis, Memcached) for scalable data storage and retrieval\ NFamiliarity with Python for collaborating on machine learning workflows and integrating Python-based AI tools is preferred\ NExcellent problem-solving skills … goals\ NEffective communication and collaboration skills, with demonstrated experience working across cross-functional teams\ N\nEducation\n\ NBachelor’s degree or higher in Computer Science, Software Engineering, or a related field.\ N\nResponsibilities\ NAs a Software Engineer specializing in AI systems, you will play a key role in designing ...

containerization technologies (e.g., Docker, ECS, Kubernetes), and MLOps practices \n Proficiency in databases (e.g., PostgreSQL, MongoDB) and caching systems (e.g., Redis, Memcached) for scalable data storage and retrieval \n Familiarity with Python for collaborating on machine learning workflows and integrating Python-based AI tools is preferred \n Excellent problem … communication and collaboration skills, with demonstrated experience working across cross-functional teams \n\n Education \n \n Bachelor’s degree or higher in Computer Science, Software Engineering, or a related field. \n\n Responsibilities \n As a Software Engineer specializing in AI systems, you will play a key role ...

this position. Overview A growing organisation is looking for a Senior AI Engineer to help design, build, and scale production-grade AI systems and data platforms used across enterprise environments. This is an opportunity to join a collaborative engineering function focused on building robust AI pipelines, transformation APIs … scalable backend services that support advanced analytics and machine learning products. The Role As a Senior AI Engineer, you will work closely with Data Scientists and cross-functional technical teams to productionise machine learning models and develop high-performance AI services. You'll contribute across the full engineering lifecycle ...

deploy intelligent, scalable applications. You will work at the intersection of backend engineering and artificial intelligence, building systems that integrate machine learning models, data pipelines, and cloud-native services.\ NThis role is ideal for someone passionate about clean architecture, performance optimization, and applying AI technologies to real-world business … Java-based applications\ NIntegrate AI/ML models into production-grade backend systems\ NBuild RESTful APIs and microservices using modern Java frameworks\ NCollaborate with data scientists to deploy and scale machine learning solutions\ NOptimise system performance, scalability, and security\ N\n\nImplement CI/CD pipelines and ensure high ...

This is a demo - You can edit the text! Type in the visual editor on the left or the source editor on the right and see them both change in real time. Set up the ...

Lead Data Scientist We are seeking an experienced Lead Data Scientist to join a high-impact team developing predictive analytics and data products within a regulated financial services environment. Location - London Contract – Inside IR35 Working Pattern - Hybrid Skills & Experience This role will focus on transforming large-scale … customer datasets into robust, auditable predictive models, supporting forecasting, risk analysis and commercial data products. Key skills & experience Strong Python (Pandas, NumPy, Scikit-learn) and SQL skills. Experience with Snowflake or similar cloud data platforms. Proven track record building predictive models in regulated financial services environments. Credit risk ...

Company description Latham & Watkins is one of the worlds leading global law firms advising the businesses and institutions that drive the global economy. We are the market leaders in major financial and business centers around ...

Data Scientist/Senior Data Scientist - Experimentation and Causal Inference This is a high impact opportunity to join a newly formed team focused on using causal inference and experimentation to drive smarter decision making. The Company They are a global, data driven organisation investing in advanced experimentation ...

role in scaling a sophisticated AI-driven platform used by leading pharmaceutical companies. THE COMPANY: This business is operating at the intersection of AI, data science and pharmaceutical R&D with a mission is to make discoveries faster, smarter and more efficient. THE ROLE: You will take ownership … engineers and technical leaders YOUR SKILLS AND EXPERIENCE: You will bring strong capability in: Hands-on engineering leadership within fast-paced startup environments Backend, data engineering or full-stack systems at scale Technical strategy, architecture and long-term platform design Managing and empowering highly capable senior engineers Cross-functional ...

behaviour, sound, motion, and intelligence. AKQA Product Design Directors operate at the intersection of brand, craft, and computation, working side‐by‐side with strategy, data, and engineering teams to shape products that learn, evolve, and earn love over time. AKQA’s London studio, part of a globally connected studio … motion, and micro-interaction principles. Familiarity with AI design tools, prototyping in Framer, Principle, ProtoPie, or After Effects, and collaboration with machine-learning or data-science teams. Demonstrable success in uniting brand and product through interface design, e.g. motion language, sound design, or spatial storytelling. Experience mentoring ...

operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many … partner with senior leadership in your region. You will have an analytical approach, a keen eye for detail and the ability to interpret data trends and themes. The role entails the individual to: Lead and scale Canonical’s regional HR team Deliver precise and compliant HR operations ...

Familiarity with governance, risk and compliance processes. About Peregrine We build workforces that deliver tech and change programmes at leading UK organisations. By combining data science from Peregrine Intelligence, our industry-accredited Peregrine Academy, and market-leading attraction and diversity initiatives, we bridge capability gaps at all levels … Specialist Talent team. That means youll work on-site or remotely with our clients, supporting them on complex, high-impact projects in Data, Digital and Business Transformation. Youll get the variety and challenge of consultancy work, with the stability and support of a permanent role. Youre not a contractor ...

orchestration technologies including Docker, ECS, and Kubernetes Proficiency with databases such as PostgreSQL and MongoDB and caching technologies such as Redis for high-performance data storage and retrieval Experience designing and building APIs, distributed systems, and event-driven architectures in modern programming languages such as Python, TypeScript, Java … rapidly, and deliver impactful solutions that create measurable business value Excellent communication and collaboration skills with demonstrated success working across multidisciplinary teams of engineers, data scientists, and product stakeholders Education Bachelor s degree or higher in Computer Science, Software Engineering, or a related field Responsibilities As a Software ...

orchestration technologies including Docker, ECS, and Kubernetes\ NProficiency with databases such as PostgreSQL and MongoDB and caching technologies such as Redis for high-performance data storage and retrieval\ NExperience designingand building APIs, distributed systems, and event-driven architectures in modern programming languages such as Python, TypeScript, Java … rapidly, and deliver impactful solutions that create measurable business value\ NExcellent communication and collaboration skills with demonstrated success working across multidisciplinary teams of engineers, data scientists, and product stakeholders\ N\nEducation\n\ NBachelor’s degree or higher in Computer Science, Software Engineering, or a related field\ N\nResponsibilities ...

environments where platform usability and operational excellence matter. The work sits at the intersection of platform engineering, DevOps and MLOps, with close collaboration across data science, ML engineering, software engineering and architecture click apply for full job details ...

pension contribution, 25 days holiday, and life insurance Location:Portsmouth, hybrid working Sirius Digital is a trusted provider of expertise in Software Engineering, Data Science, and AI, supporting clients in the defence, nuclear, space, and energy sectors. We specialise in software modelling and si... LFWQ1_UKTJ ...