599 Data Scientist jobs

Job Title: AI/ML Engineer - Central Technology - Sherman Oaks, CA Requisition ID: R025184 Job Description: Your Mission Our team is expanding to continue building cutting-edge AI and data-driven insights, and we're looking for an AI/ML Engineer who will be integral to our mission of transforming business through innovative technology, including generative AI solutions. This role will report directly to the Senior Director of AI Strategy and collaborate with a diverse team that includes AI/ML scientists, software engineers, and business stakeholders. As an AI/ML Engineer, you will have the opportunity to contribute to exciting projects that shape our AI strategy and support our game studios and operational teams. What you bring to the table The video game industry and therefore our business is fast-paced and will continue to evolve. As such, the duties and responsibilities of this role may be changed as directed by the Company at any time to promote and support our business and relationships with industry partners. Therefore, this role includes, but is not limited to, the following responsibilities: Collaborate with cross-functional teams to understand business challenges and identify opportunities to leverage data science, machine learning, and generative AI solutions. Develop, test, and deploy predictive models, generative algorithms, and other AI techniques that support decision-making and game development across our studios and corporate functions. Support the end-to-end development of AI solutions, including generative AI models, from data gathering to model deployment and ongoing optimization. Assist in managing technical relationships with key internal and external partners. Conduct exploratory data analysis and communicate insights to technical and non-technical stakeholders. Stay current with the latest advancements in data science, AI, and generative AI, and apply relevant techniques to solve real-world problems within the organization. Establish metrics to measure the impact of AI initiatives and ensure alignment with strategic goals. Player Profile Minimum Requirements: Experience 3+ years of hands-on experience in developing, deploying, and maintaining production-ready AI or machine learning applications. Demonstrated experience in end-to-end project work - from building datasets, fine-tuning and training models to testing and integrating them into complete software solutions. Solid working knowledge of coding practices (e.g., version control, unit testing, code reviews, CI/CD) in languages such as Python (and/or Java, C++). Experience with machine learning frameworks such as TensorFlow or PyTorch applied in both model development and system integration. Knowledge & Skills End-to-end full-stack expertise - Experience building APIs and user interfaces (e.g., React, Angular, or Vue.js), managing relational databases like PostgreSQL, and applying DevOps/MLOps practices (using Docker, Kubernetes, and cloud platforms such as AWS, GCP, or Azure). Generative AI proficiency - Hands-on experience fine-tuning and deploying various generative AI models and tools to create scalable, production-ready solutions. Strong software development fundamentals - Ability to translate complex technical concepts into maintainable and effective business applications, with an emphasis on agile practices and cross-functional collaboration. Key Attributes Excellent problem-solving skills and a solution-focused approach in a fast-paced, agile environment. Effective communication skills for collaborating with multidisciplinary teams, including software developers, data scientists, product managers, and front-end designers. A self-motivated mindset with an eagerness to continuously learn new technologies and methods. Ability to take ownership of projects-from requirements gathering and prototyping to production deployment and ongoing maintenance. Extra Points: Experience Experience deploying and monitoring AI models in production, including integrating models with enterprise systems. Background in managing technical collaborations with both internal and external stakeholders. Knowledge & Skills Familiarity with cloud-native development tools and CI/CD pipelines to streamline deployments. Awareness of emerging AI technologies (such as generative AI) and a willingness to explore their integration into solutions. Key Attributes A proactive approach to process improvement and driving innovation through robust, scalable AI solutions. Comfortable working in an agile, team-based environment with a strong full-stack orientation that encompasses back-end, front-end, and database development. Your Platform Activision Central Tech works to support our development studios and their titles. Comprised of seven main teams, we have many specialties including big data, privacy and security, motion capture and animation pipeline technologies, graphics, build and infrastructure for studio development and data centers, optimization, systems programming and online services including matchmaking and networking. Central Tech is distributed globally with offices across the U.S., and in Canada, England, Ireland and Japan. Most of our teams are comprised of both engineering and research talent, allowing us to always have an eye on the future. Our talented engineers help with title development and provide valuable knowledge sharing between studios while our researchers are action-oriented and keep a strong connection with the needs of the game studios. Central Tech is part of Activision. To learn more about us and our research, please visit us at . Our World At Activision, we strive to create the most iconic brands in gaming and entertainment. We're driven by our mission to deliver unrivaled gaming experiences for the world to enjoy, together. We are home to some of the most beloved entertainment franchises including Call of Duty, Crash Bandicoot, Tony Hawk's Pro Skater, and Guitar Hero. As a leading worldwide developer, publisher and distributor of interactive entertainment and products, our "press start" is simple: delight hundreds of millions of players around the world with innovative, fun, thrilling, and engaging entertainment experiences. We're not just looking back at our decades-long legacy; we're forging ahead to keep advancing gameplay with some of the most popular titles and sophisticated technology in the world. We have bold ambitions to create the most inclusive company as we know our success comes from the passionate, creative, and diverse teams within our organization. We're in the business of delivering fun and unforgettable entertainment for our player community to enjoy. And our future opportunities have never been greater - this could be your opportunity to level up. Ready to Activate Your Future? We love hearing from anyone who is enthusiastic about changing the games industry. Not sure you meet all qualifications? Let us decide! Research shows that women and members of other under-represented groups tend to not apply to jobs when they think they may not meet every qualification, when, in fact, they often do! We are committed to creating a diverse and inclusive environment and strongly encourage you to apply. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity, age, marital status, veteran status, or disability status, among other characteristics. We are committed to working with and providing reasonable assistance to individuals with physical and mental disabilities. If you are a disabled individual requiring an accommodation to apply for an open position, please email your request to . General employment questions cannot be accepted or processed here. Thank you for your interest. Rewards We provide a suite of benefits that promote physical, emotional and financial well-being for 'Every World' - we've got our employees covered! Subject to eligibility requirements, the Company offers comprehensive benefits including: Medical, dental, vision, health savings account or health reimbursement account, healthcare spending accounts, dependent care spending accounts, life and AD&D insurance, disability insurance; 401(k) with Company match, tuition reimbursement, charitable donation matching; Paid holidays and vacation, paid sick time, floating holidays, compassion and bereavement leaves, parental leave; Mental health & wellbeing programs, fitness programs, free and discounted games, and a variety of other voluntary benefit programs like supplemental life & disability, legal service, ID protection, rental insurance, and others; If the Company requires that you move geographic locations for the job, then you may also be eligible for relocation assistance. Eligibility to participate in these benefits may vary for part time and temporary full-time employees and interns with the Company. You can learn more by visiting .

Bloomreach is building the world's premier agentic platform for personalization . We're revolutionizing how businesses connect with their customers, building and deploying AI agents to personalize the entire customer journey. We're taking autonomous search mainstream, making product discovery more intuitive and conversational for customers, and more profitable for businesses. We're making conversational shopping a reality, connecting every shopper with tailored guidance and product expertise - available on demand, at every touchpoint in their journey. We're designing the future of autonomous marketing , taking the work out of workflows, and reclaiming the creative, strategic, and customer-first work marketers were always meant to do. And we're building all of that on the intelligence of a single AI engine - Loomi AI - so that personalization isn't only autonomous it's also consistent. From retail to financial services, hospitality to gaming, businesses use Bloomreach to drive higher growth and lasting loyalty. We power personalization for more than 1,400 global brands, including American Eagle, Sonepar, and Pandora. Clarity Backend Engineer (Java) About Clarity Clarity is a virtual shopping assistant leveraging Gen AI and LLMs to enhance online shopping with personalized, real-time guidance. Clarity is embedded in various parts of the user's shopping journey, transforming user interactions and improving product discovery. Position: We are seeking a motivated Backend Software Engineer to join our team and contribute to the development of Clarity. In this role, you'll join a small team of highly motivated and experienced software engineers and data scientists, building a cutting-edge and impactful AI-powered product. You'll be working in one of our Central European offices (Bratislava, Brno, or Prague) or from home on a full-time basis (EU based). The salary starts from €5,000 gross per month for Slovakia. Are you up for the challenge? Responsibilities: Design, implement, and test key features in the Product Search Engine and Product Catalog processing components of Clarity. Contribute to the overall architecture of Clarity, ensuring excellent conversation quality, high availability, strong observability, and system efficiency. Assist with and troubleshoot across all stages of the software lifecycle, including design, deployment, and operations. Collaborate with the Customer Success and Product Management Teams to understand and implement critical customer requirements. Work closely with other members of the Clarity Engineering and Data Science Teams through code and design reviews, and mentor junior team members. Participate in brainstorming sessions and contribute innovative ideas to continuously improve Clarity. Document and maintain project plans, technical designs, and other relevant materials. Qualifications: BS/MS degree in Computer Science or related field and at least 4 years of software engineering experience in the industry. Strong background in algorithms and software architecture skills. Proficiency in Java; familiarity with Spring Framework, Spring Boot, Test-Driven Development, JUnit, Maven is a strong plus. Experience with NoSQL databases (e.g., MongoDB, DynamoDB) and in-memory Data Stores (e.g., Redis). Experience with Vector DBs (e.g., Qdrant, FAISS, Pinecone) is a strong plus. Familiarity with building low latency, high availability, and high throughput systems. Familiarity with Docker, CI/CD pipelines, and GCP. Ability to work collaboratively within a remote team environment. Excellent communication skills, both written and verbal. Excited? Join us and transform the future of commerce experiences! If this position doesn't suit you, but you know someone who might be a great fit, share it - we will be very grateful!

About us Taktile exists to create value for organizations through smarter and safer decisions at scale. Our goal is to become the world's leading software provider for automated decision-making in the financial services industry and, to date, our software has been used by our customers to power over 1'000'000 critical business decisions every day. Taktile is based in New York City, London, and Berlin. Taktile was founded by machine learning and data science veterans with extensive experience building and running production ML in financial services. Our team consists of engineers, entrepreneurs, and researchers with a diverse set of backgrounds. Some of us attended top universities such as Harvard, Oxford, and Stanford and some of us have no degree at all. Our team has accumulated extensive work experience at leading tech companies such as Google, Amazon, and Meta, startups, and the enterprise software sphere. Our backers include Y Combinator, Index Ventures, and stellar angels such as the founders of Looker, GitHub, Mulesoft, Datadog, and UiPath. We're backed by some of the world's leading investors and show great traction with scale-ups and large enterprises across the financial services industry. We are looking to build on this success by growing our team across all seniority levels from software engineers, web developers, marketing and sales experts, and entrepreneurial business analysts. That's where you come in. As a Senior Solution Engineer, you are core to our mission of transforming our customer's decisioning infrastructure to enable them to optimize and automate complex and mission critical business decisions. You will make sure our customers get onboarded on Taktile and get value from Taktile. You are a trusted advisor to our customers and help them achieve their strategic goals and realize value by using Taktile in their decisioning tech stack. If you're passionate about state-of-the-art tech products, have hands-on experience with Python, SQL, and REST APIs, and bring 2-5 years of customer-facing experience, you'll thrive in this role. Plus, if you enjoy working in a supportive team environment that empowers you to grow, we think you'll love this job! What you'll do as Senior Solution Engineer You collaborate with partners and customers to design and build solutions in Taktile's Decisioning Platform. You onboard and work with various of our customers' teams (domain experts, product, engineering, data science) to help them solve real-world problems. You understand people and technology, and are proficient and diligent in writing and testing Python code and committed to providing an excellent experience and fast time to value to Taktile's customers. You will work with product management to translate your knowledge of customer problems into product insights to shape Taktile's product roadmap. You will create re-usable collateral, best practices & tools to help scale your knowledge and expertise across the solution engineering function. About You You know how to build strong customer relationships with stakeholders across different levels of seniority and including both technical stakeholders in an organization (e.g. Principal Engineers, Data Scientists) as well as business stakeholders (e.g. Risk Managers, Credit Analysts). You are curious and customer-centric. You enjoy learning about our customers' businesses and helping them solve challenges. You excel at planning and managing project scope, expectations and timelines. You will need to manage multiple projects across customers that will be at different parts of their journey with Taktile. You are humble and have a growth mindset, with a willingness to learn new skills and methodologies and bring best practices into our business. You possess a solid understanding of REST APIs, including design, integration, and authentication. Additionally, you have strong knowledge of Python and SQL. You are collaborative and work well with your peers in Marketing, Sales, Product, Engineering and the Customer Success team. You are creative and proactive - you're always looking for ways to stand out with customers. You have excellent written and spoken English. Ideal Qualifications (but not required) You have 3-5 years of experience as a Solution Engineer, Implementation Specialist, Forward Deployed Engineer or an equivalent position within a B2B SaaS company or as Senior Consultant. You have experience in applying and optimizing statistical and machine learning models to solve business problems. You have experience with at least one of the major cloud platforms (AWS, Azure, GCP). You have acquired domain expertise in the financial services industry (banking, insurance, capital markets, payments, etc.). You are fluent in Spanish and/or Portuguese What we offer Work with colleagues that lift you up, challenge you, celebrate you and help you grow. We come from many different backgrounds, but what we have in common is the desire to operate at the very top of our fields. If you are similarly capable, caring, and driven, you'll find yourself at home here Make an impact and meaningfully shape an early-stage company Experience a truly flat hierarchy and communicate directly with founding team members. Having an opinion and voicing your ideas is not only welcome but encouraged, especially when they challenge the status quo Learn from experienced mentors and achieve tremendous personal and professional growth. Get to know and leverage our network of leading tech investors and advisors around the globe. Receive a top-of-market equity and cash compensation package Get access to a self-development budget you can use to e.g. attend conferences, buy books or take classes. Use the equipment of your choice including meaningful home office set-up. Our Stance We're eager to meet talented and driven candidates regardless of whether they tick all the boxes. We're looking for someone who will add to our culture, not just fit within it. We strongly encourage individuals from groups traditionally underestimated and underrepresented in tech to apply We seek to actively recognize and combat racism, sexism, ableism and ageism. We embrace and support all gender identities and expressions, and celebrate love in its many forms. We won't inquire about how you identify or if you've experienced discrimination, but if you want to tell your story, we are all ears

About us Taktile exists to create value for organizations through smarter and safer decisions at scale. Our goal is to become the world's leading software provider for automated decision-making in the financial services industry and, to date, our software has been used by our customers to power over 1'000'000 critical business decisions every day. Taktile is based in New York City, London, and Berlin. Taktile was founded by machine learning and data science veterans with extensive experience building and running production ML in financial services. Our team consists of engineers, entrepreneurs, and researchers with a diverse set of backgrounds. Some of us attended top universities such as Harvard, Oxford, and Stanford and some of us have no degree at all. Our team has accumulated extensive work experience at leading tech companies such as Google, Amazon, and Meta, startups, and the enterprise software sphere. Our backers include Y Combinator, Index Ventures, and stellar angels such as the founders of Looker, GitHub, Mulesoft, Datadog, and UiPath. We're backed by some of the world's leading investors and show great traction with scale-ups and large enterprises across the financial services industry. We are looking to build on this success by growing our team across all seniority levels from software engineers, web developers, marketing and sales experts, and entrepreneurial business analysts. That's where you come in. As a Senior Solution Engineer, you are core to our mission of transforming our customer's decisioning infrastructure to enable them to optimize and automate complex and mission critical business decisions using ML/AI with heuristics and logic, flexible data integrations, and an overlay of data analytics. You will make sure our customers get onboarded on Taktile and get value from Taktile. You are a trusted advisor to our customers and help them achieve their strategic goals and realize value by using Taktile in their decisioning tech stack. If you are passionate about building AI products that solve real customer problems, enjoy working in a fast-paced environment, and are eager to make a tangible impact on financial services at a global scale, this role is tailor-made for you. What you'll do as Senior Solution Engineer You collaborate with partners and customers to design and build solutions in Taktile's Decisioning Platform (leveraging AI and Machine Learning). You onboard and work with various of our customers' teams (domain experts, product, engineering, data science) to help them solve real-world problems. You understand people and technology, and are proficient and diligent in writing and testing Python code and committed to providing an excellent experience and fast time to value to Taktile's customers. You will work with product management to translate your knowledge of customer problems into product insights to shape Taktile's product roadmap. You will create re-usable collateral, best practices & tools to help scale your knowledge and expertise across the solution engineering function. About You You know how to build strong customer relationships with stakeholders across different levels of seniority and including both technical stakeholders in an organization (e.g. Principal Engineers, Data Scientists) as well as business stakeholders (e.g. Risk Managers, Credit Analysts). You are curious and customer-centric. You enjoy learning about our customers' businesses and helping them solve challenges. You excel at planning and managing project scope, expectations and timelines. You will need to manage multiple projects across customers that will be at different parts of their journey with Taktile. You are humble and have a growth mindset, with a willingness to learn new skills and methodologies and bring best practices into our business. You have a strong backend programming skill set (Python, RESTful APIs, Databases, AWS Services) You have a background and experience in applying AI & machine learning to solve real-world problem You are collaborative and work well with your peers in Marketing, Sales, Product, Engineering and the Customer Success team. You are creative and proactive - you're always looking for ways to stand out with customers. You have excellent written and spoken English. Ideal Qualifications (but not required) You have 3-5 years of experience as a Solution Engineer, Implementation Specialist, Forward Deployed Engineer or an equivalent position within a B2B SaaS company or as Senior Consultant. You have experience building & running scalable micro services in the cloud You have acquired domain expertise in the financial services industry (banking, insurance, capital markets, payments, etc.). What we offer Work with colleagues that lift you up, challenge you, celebrate you and help you grow. We come from many different backgrounds, but what we have in common is the desire to operate at the very top of our fields. If you are similarly capable, caring, and driven, you'll find yourself at home here Make an impact and meaningfully shape an early-stage company Experience a truly flat hierarchy and communicate directly with founding team members. Having an opinion and voicing your ideas is not only welcome but encouraged, especially when they challenge the status quo Learn from experienced mentors and achieve tremendous personal and professional growth. Get to know and leverage our network of leading tech investors and advisors around the globe. Receive a top-of-market equity and cash compensation package Get access to a self-development budget you can use to e.g. attend conferences, buy books or take classes. Use the equipment of your choice including meaningful home office set-up. Our Stance We're eager to meet talented and driven candidates regardless of whether they tick all the boxes. We're looking for someone who will add to our culture, not just fit within it. We strongly encourage individuals from groups traditionally underestimated and underrepresented in tech to apply We seek to actively recognize and combat racism, sexism, ableism and ageism. We embrace and support all gender identities and expressions, and celebrate love in its many forms. We won't inquire about how you identify or if you've experienced discrimination, but if you want to tell your story, we are all ears

Bloomreach is building the world's premier agentic platform for personalization . We're revolutionizing how businesses connect with their customers, building and deploying AI agents to personalize the entire customer journey. We're taking autonomous search mainstream, making product discovery more intuitive and conversational for customers, and more profitable for businesses. We're making conversational shopping a reality, connecting every shopper with tailored guidance and product expertise - available on demand, at every touchpoint in their journey. We're designing the future of autonomous marketing , taking the work out of workflows, and reclaiming the creative, strategic, and customer-first work marketers were always meant to do. And we're building all of that on the intelligence of a single AI engine - Loomi AI - so that personalization isn't only autonomous it's also consistent. From retail to financial services, hospitality to gaming, businesses use Bloomreach to drive higher growth and lasting loyalty. We power personalization for more than 1,400 global brands, including American Eagle, Sonepar, and Pandora. About Clarity Clarity is a virtual shopping assistant leveraging Gen AI and LLMs to enhance online shopping with personalized, real-time guidance. Clarity is embedded in various parts of the user's shopping journey, transforming user interactions and improving product discovery. Position: We are seeking a motivated Backend Software Engineer to join our team and contribute to the development of Clarity. In this role, you'll join a small team of highly motivated and experienced software engineers and data scientists, building a cutting-edge and impactful AI-powered product. You'll be working in one of our Central European offices (Bratislava, Brno, or Prague) or from home on a full-time basis (EU based). The salary starts from €5,000 gross per month for Slovakia. Are you up for the challenge? Responsibilities: Design, implement, and test key features in the Conversation Engine component of Clarity. Contribute to the overall architecture of Clarity, ensuring excellent conversation quality, high availability, strong observability, and system efficiency. Assist with and troubleshoot across all stages of the software lifecycle, including design, deployment, and operations. Collaborate with the Customer Success and Product Management Teams to understand and implement critical customer requirements. Work closely with other members of the Clarity Engineering and Data Science Teams through code and design reviews, and mentor junior team members. Participate in brainstorming sessions and contribute innovative ideas to continuously improve Clarity. Document and maintain project plans, technical designs, and other relevant materials. Qualifications: BS/MS degree in Computer Science or related field and at least 4 years of software engineering experience in the industry. Strong background in algorithms and software architecture skills. Proficiency in TypeScript, Node.js, and Python. Experience with NoSQL databases (e.g. MongoDB, DynamoDB) and in-memory Data Stores (e.g. Redis). Familiarity with asynchronous programming and event-driven architecture. Familiarity with building low latency, high availability, and high throughput systems. Familiarity with Docker, CI/CD pipelines, and GCP. Ability to work collaboratively within a remote team environment. Excellent communication skills, both written and verbal. More things you'll like about Bloomreach: Culture: A great deal of freedom and trust. At Bloomreach we don't clock in and out, and we have neither corporate rules nor long approval processes. This freedom goes hand in hand with responsibility. We are interested in results from day one. We have defined our 5 values and the 10 underlying key behaviors that we strongly believe in. We can only succeed if everyone lives these behaviors day to day. We've embedded them in our processes like recruitment, onboarding, feedback, personal development, performance review and internal communication. We believe in flexible working hours to accommodate your working style. We work virtual-first with several Bloomreach Hubs available across three continents. We organize company events to experience the global spirit of the company and get excited about what's ahead. We encourage and support our employees to engage in volunteering activities - every Bloomreacher can take 5 paid days off to volunteer. We have a People Development Program participating in personal development workshops on various topics run by experts from inside the company. We are continuously developing & updating competency maps for select functions. Our resident communication coach Ivo Večeřa is available to help navigate work-related communications & decision-making challenges. Our managers are strongly encouraged to participate in the Leader Development Program to develop in the areas we consider essential for any leader. The program includes regular comprehensive feedback, consultations with a coach and follow-up check-ins. Bloomreachers utilize the $1,500 professional education budget on an annual basis to purchase education products (books, courses, certifications, etc.) The Employee Assistance Program with counselors is available for non-work-related challenges. Subscription to Calm - sleep and meditation app. We organize 'DisConnect' days where Bloomreachers globally enjoy one additional day off each quarter, allowing us to unwind together and focus on activities away from the screen with our loved ones. We facilitate sports, yoga, and meditation opportunities for each other. Extended parental leave up to 26 calendar weeks for Primary Caregivers. Compensation: Restricted Stock Units or Stock Options are granted depending on a team member's role, seniority, and location. Everyone gets to participate in the company's success through the company performance bonus. We offer an employee referral bonus of up to $3,000 paid out immediately after the new hire starts. We reward & celebrate work anniversaries Bloomversaries! ( Subject to employment type. Interns are exempt from marked benefits, usually for the first 6 months.) Excited? Join us and transform the future of commerce experiences!

With Confluent, organizations can harness the full power of continuously flowing data to innovate and win in the modern digital world. We have a purpose that drives us to do better every day - we're creating an entirely new category within data infrastructure - data streaming. This technology will allow every organization to create experiences and use the power of data in ways that profoundly impact the way we all live. This impact is our purpose and drives us to do better every day. One Confluent. One team. One Data Streaming Platform. Data Connects Us. About the Role: We're seeking an innovative and experienced technologist to join our Global Specialist Solutions Engineering team-a group dedicated to solving complex, real-time data challenges and optimizing Data Lake, Data Warehouse, and Data Analytics architectures. As a trusted technical advisor, you will collaborate closely with product management and engineering, serving as a key advocate for Confluent's platform. This role demands expertise in Kafka, distributed systems, and pre-sales engineering, while engaging with cross-functional teams to drive product success and customer outcomes. Ideal candidates may have backgrounds in Technical Account Management, Sales Engineering, or Professional Services. What You Will Do: Enable Customers with Real-Time Architectures Understand customer challenges with traditional Data Warehouses, Data Lakes, and Batch Analytics workflows, and guide them toward real-time, distributed architectures using Kafka, Flink, Kafka Streams, and modern ETL/ELT frameworks. Help customers optimize their data platforms by focusing on early-stage data enrichment, filtering, and processing for better performance and cost efficiency. Provide Technical Expertise Assist customers and sales teams in designing, deploying, and optimizing real-time data streaming platforms, integrating Kafka with distributed processing, and ensuring alignment with business goals. Architect solutions to unify operational and analytical workloads, enabling a data mesh or streaming-first architecture. Partner with sales, product management, marketing, and engineering to translate customer feedback into continuous improvements for Confluent's platform. Work cross-functionally to refine product messaging and technical positioning, ensuring clarity and alignment with customer needs. Drive Thought Leadership Lead technical workshops, webinars, and sessions to showcase the advanced capabilities of Kafka, Kafka Connect, Flink, and other data streaming tools. Advocate for best practices in real-time architectures through case studies, training sessions, and field engagement with both technical and business stakeholders. What You Will Bring: Core Skills & Expertise Proven experience architecting and implementing enterprise-scale, real-time data streaming solutions with Kafka and related ecosystems. Deep knowledge of Data Warehouses, Data Lakes, Lakehouses, and Distributed Systems, including CDC Connectors, ETL tools, and RDBMS platforms. Expertise in distributed data processing, data governance, and real-time analytics. Hands-on programming experience with Python, Java, or similar, especially for building streaming and ETL pipelines. Customer & Business Impact A demonstrated ability to become a trusted advisor to Chief Data Officers, Data Engineers, Data Scientists, Data Analysts, and Architects, driving customer success and platform adoption. Strong pre-sales engineering skills, including technical presentations, proof-of-concept development, and hands-on solution design. Proven ability to work across cross-functional teams, including product management, engineering, and marketing, to drive shared outcomes. A passion for learning and adapting to emerging technologies, particularly within the Kafka ecosystem. What Gives You an Edge: Extensive experience with modern data architectures, including Data Warehouses, Lakehouses, data formats (e.g., Avro, Parquet), and cloud-native platforms (AWS, GCP, Azure). Expertise in integrating Kafka-based solutions with cloud services and enterprise data ecosystems. Demonstrated success designing and implementing distributed streaming systems for large-scale enterprises, including Fortune 1000 companies. Come As You Are At Confluent, equality is a core tenet of our culture. We are committed to building an inclusive global team that represents a variety of backgrounds, perspectives, beliefs, and experiences. The more diverse we are, the richer our community and the broader our impact. Employment decisions are made on the basis of job-related criteria without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other classification protected by applicable law. At Confluent, we are committed to providing competitive pay and benefits that are in line with industry standards. We analyze and carefully consider several factors when determining compensation, including work history, education, professional experience, and location. This position has an annual estimated salary of $136,700 - 160,650, a competitive equity package and is also eligible for additional commission and/or bonus pay. The actual pay may vary depending on your skills, qualifications, experience, and work location. In addition, Confluent offers a wide range of employee benefits. To learn more about our benefits click HERE. Click HERE to review our Candidate Privacy Notice which describes how and when Confluent, Inc., and its group companies, collects, uses, and shares certain personal information of California job applicants and prospective employees.

With us, you'll do meaningful work from Day 1. Our collaborative culture is built on three core behaviors: We Play to Win, We Get Better Every Day & We Succeed Together. And we mean it - we want you to grow and make a difference at one of the world's leading digital banking and payments companies. We value what makes you unique so that you have an opportunity to shine. Come build your future, while being the reason millions of people find a brighter financial future with Discover. Job Description: What You'll Do Responsible for oversight on design and implementation of products assigned to their team. This means they can take user stories and new features from idea to production unattended. Actively manages and escalates risk and customer-impacting issues within the day-to-day role to management. How You'll Do It Analyze, design, code, test, and deploy new user stories and product features with high quality (security, reliability, operations) to production. Understands the software development lifecycle and leverages critical thinking skills to properly evaluate features and functionality. Guides early-career engineers by providing learning tasks as well as work related tasks, directs the work of emerging talent, and helps them continue to grow in technical skillset through mentorship. Has oversight on application, system, and architecture design decisions and guides team to achieve key results for products assigned to them. Remediates issues using engineering principles and creates proactive design solutions for potential failures to ensure high reliability of technical solutions. Achieves team commitments through collaboration with other engineers, architects, product owners and data scientists. Contributes to and leads technology communities of practice at Discover in areas of design-thinking, tools/technology, agile software development, security, architecture and/or data. Creates and enforces IT standards within the system/application infrastructure and compatibility with the architecture of the platform. Qualifications You'll Need The Basics Bachelors Degree in Computer Science, Engineering, Informatics, Information Security, Information Technology or related field Experience in Information Technology, (Software) Engineering or related Internal applicants only: technical proficiency rating of competent on the Dreyfus engineering scale. Physical and Cognitive Requirements The physical requirements described here are representative of those that must be met by an employee to successfully perform the essential functions of this position. Reasonable accommodations may be made to enable a qualified individual with disabilities to perform the essential functions of the position as required by federal, state, and local laws: Primarily remain in a stationary position. No required movement about the work environment to complete the major responsibilities of the job. Primarily performed indoors in an office setting. Ability to operate office equipment such as but not limited to computer, telephone, printer, and calculator. Ability to communicate verbally and in written form. Bonus Points If You Have Experience as part of an Agile engineering or development team Experience of mentoring teams in testing best practices Strong experience of testing within the full software development lifecycle (Unit, functional, performance & security) Experience testing and implementing API service architecture with Spring Boot Experience with CI/CD pipelines with Jenkins or similar External applicants will be required to perform a technical interview. Discover will not sponsor or transfer employment work visas for this position. Applicants must be currently authorized to work in the United Kingdom on a full-time basis. Application Deadline: The application window for this position is anticipated to close on Apr-02-2025. We encourage you to apply as soon as possible. The posting may be available past this date, but it is not guaranteed. Discover is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status, or other legally protected status. (Know Your Rights) Discover complies with federal, state, and local laws applicable to qualified individuals with disabilities and is committed to providing reasonable accommodations. If you require a reasonable accommodation to search for a position, to complete an application, and/or to participate in an interview, please email . Any information you provide regarding your accommodation needs will be kept confidential and will only be used to determine and provide necessary accommodation. Positions marked as remote eligible are limited to remote locations within the country in which the position is based. Applicants must be 18 or older at the time of hire.

We help companies get compensation right. What we get paid at work has a massive impact on our lives, and it's one of the biggest factors in hiring and retaining talent - and yet so many companies struggle to get it right. They simply have no choice but to rely on poor data and unsophisticated tools for their pay decisions. That's why we created Ravio. We help many of the world's most innovative and ambitious companies build stronger teams and reach their goals through better compensation. Our real-time data platform brings compensation into the modern age, tracking the market across all compensation types from salary to equity and benefits. We're passionate about ensuring everyone is paid what they deserve, no matter their background or circumstances. We believe that when compensation is done right, everyone wins. Ravio is growing fast, which means you can too. We've established ourselves as the European leader in our space serving more than 1,200 clients, and now have our sights set on becoming the global go to place for compensation data and tools for managing compensation. Joining a startup and scaling it into a global product is one of the most challenging and rewarding experiences a career can offer. If that sounds exciting to you, you're in the right place. The role We're looking for a Senior Data Engineer to drive the ongoing development of our data platform. Be a senior technical contributor in our data engineering team, building and maintaining Ravio's data pipelines and infrastructure - the core of our business. Shape and implement the data roadmap, improving pipeline structure, robustness, testing, and continuous development as well as helping oversee the team's cloud infrastructure. Ensure data quality, governance, and security best practices are followed. Partner with fellow engineers, product managers and the broader team to make quick, collaborative decisions that drive business outcomes while maintaining technical excellence. Foster team culture in the Data team, making it a positive, ambitious, accountable and fun environment where people enjoy doing their best work. What we're looking for 6+ years experience in data engineering Expertise in at least one high level language such as Python, Julia, R, Matlab or Go Familiarity working with terraform, cloud logs, SQL databases Experience working with production systems, CI/CD Comfortable working in a fast-paced, startup environment with a bias for action Excellent listener and communicator Regardless of experience you, Naturally speak the language of engineers and data scientists, and are also very comfortable talking with people of other disciplines across the business including product, customer success, operations and founders. Have strong social and emotional intelligence, empathy, and an ability to put yourself in the shoes of others Take satisfaction in smooth execution of challenging problems and seeing a talented team operating at a high velocity Our Tech Stack; Data Engineering Python GCP (Cloud Functions, Workflows, CloudSQL, Cloud Storage, BigQuery, ) DBT Data Science Python (polars, scikit-learn, ) CI/CD GitHub Actions Terraform Data Engineering at Ravio in 2025 This is a key data engineering role at a company where data is at the very heart of our mission and product. We have technical co-founders who know first hand the importance of creating space and focus for engineering teams to do their best work. You'll be responsible for playing a critical part in our challenge to scale our existing pipelines to thousands of new customers, while continuing to build new pipelines and infrastructure to support new product areas. We're at an exciting stage that involves 0-to-1 engineering in some areas, and engineering for scale in others. To pull this off you'll be working alongside many accomplished and world class teammates, who are energised by the work they do and have a high bar for themselves and their colleagues. Why Join Ravio? Opportunity to be a critical team member in a high-growth startup. Blend of IC work and leadership, giving you both hands-on impact and career growth. Remote-friendly, flexible work culture with a high degree of ownership. Work on meaningful problems that help people get paid fairly and competitively in their careers. Compensation & Benefits £75,000 - £105,000 / Ravio Band: P4 Company ownership (everyone gets a meaningful equity stake in Ravio) 37 days paid time off (25 days holiday + 4 wellness days + 8 public holidays) Up to 6% pension matching scheme £60 a month wellness allowance (Invest in your physical wellbeing, on us) Private healthcare cover (on a medical history disregarded basis) with AXA Personal worldwide travel insurance - just in case Income protection insurance (for full peace of mind in case you cannot work because of sickness or disability) 16 weeks fully paid birthing parent leave, followed by 4 weeks at 50% pay. For non-birthing parents, we offer 8 weeks fully paid leave.

You will need to login before you can apply for a job. Sector: Utilities, Oil, Gas and Energy Role: Professional Contract Type: Permanent Hours: Full Time SSE has a bold ambition - to be a leading energy company in a net zero world. We're building the world's largest offshore wind farm. Transforming the grid to provide greener electricity for millions of people and investing over £20 billion in homegrown energy, with £20 billion more in the pipeline. SSE Energy Markets secure the energy needed to power customers' lives, while creating value for SSE. Our Energy Markets trading teams buy the fuel needed to deliver cleaner energy and sell power generated in our wind farm, hydro and thermal assets back to the markets. Base Location: Perth, Glasgow, Edinburgh or Reading - this is a hybrid role working part of the week from one of the advertised locations. Salary: circa £83,000 + enhanced performance-related bonus + a range of benefits to support your finances, wellbeing and family. Working Pattern: Permanent Full Time Flexible First options available The role Energy Markets (EM) is the commercial core of SSE, driving value from asset portfolios in wholesale energy markets as the company works towards its net-zero vision. EM optimises assets, manages market access, and handles risk across SSE's Business Units, including Wind, Hydro, Low Carbon Thermal, Distributed Energy, and Customer portfolios. By consolidating expertise in Trading, Risk Management, Energy Economics, and Advanced Analytics into one centre of excellence, EM supports decision-making and value creation throughout the SSE Group. The Advanced Analytics & Data (AAD) team plays a key role in enabling automated wholesale market trading through data, modelling, and Generative AI. Embedded in Front Office decision-making, AAD directly impacts P&L. The team aims to improve decision-making sophistication, efficiency, and commercial value by developing Models, Analytics, and Visualisations that enhance data-driven outcomes. The Quantitative Trading Data Scientist will Lead strategic projects to build capabilities, share knowledge across the Trading Analytics team, and maintain focus on delivering commercial value for Energy Markets. Advocate for best practices in data and modelling, inspire staff, and support career development in a coaching environment, while modelling SSE and Energy Markets culture. Enhance decision-making on £2.3 billion of daily Trading exposures through Value Add Analytics, directly enabling £5m-£10m of annual Trading value. Lead discussions on market exposures, trading strategies, and asset optimisation, while improving the commercial awareness of staff. Lead the development of Analytics capabilities, optimise performance, and promote reuse of components in EM's Analytics Platform. Guide the technical direction of Algorithmic Trading capabilities, assess proposed solutions, and balance performance against cost. Drive long-term project planning to enhance future capabilities and maintain Energy Markets' competitiveness. Prioritise resources and create a roadmap for medium- and long-term goals in evolving global Wholesale Markets. Lead commercial dialogues on market exposures and asset optimisation, building strong relationships within EPM and with the EPM Executive Committee. Communicate effectively, promoting the team's exceptional work and ensuring collaboration across the business. You have Expertise in Wholesale Energy Markets: In-depth understanding of energy markets, with strong commercial insight into propositions and the ability to articulate complex commercial events at the Executive Committee level. Strategic Awareness: Strong awareness of future energy industry challenges and opportunities, with the ability to drive change by influencing stakeholders and developing pragmatic solutions. Advanced Data Science & Analytics: Experience working with cutting-edge data science, modelling, and visualisation techniques, particularly in designing, building, and operating analytics solutions and Trading models using Azure cloud technologies. Effective Communication: Skilled in senior management communication, delivering critical information clearly and concisely, and influencing senior stakeholders across EM and the broader business. Problem-Solving & Innovation: Intellectual curiosity, excellent quantitative and problem-solving skills, motivated by innovative approaches and the ability to lead change through collaboration. Flexible benefits to fit your life Enjoy discounts on private healthcare and gym memberships. Wellbeing benefits like a free online GP and 24/7 counselling service. Interest-free loans on tech and transport season tickets, or a new bike with our Cycle to Work scheme. As well as generous family entitlements such as maternity and adoption pay, and paternity leave. Work with an equal opportunity employer SSE will make any reasonable adjustments you need to ensure that your application and experience with us is positive. please contact Lynsey at or on to discuss how we can support you. We're dedicated to fostering an open and inclusive workplace where people from all backgrounds can thrive. We create equal opportunities for everyone to succeed and especially welcome applications from those who may not be well represented in our workforce or industry. Ready to apply? Start your online application using the Apply Now box on this page. We only accept applications made online. We'll be in touch after the closing date to let you know if we'll be taking your application further. If you're offered a role with SSE, you'll need to complete a criminality check and a credit check before you start work. Our Benefits Sharesave Scheme 34 days of annual leave Option to purchase up to 10 days holiday Interest-free technology loans 24/7 free and confidential employee counselling service Private healthcare discounts Subsidised gym memberships 21 weeks full pay maternity leave Cycle to Work scheme with generous £2500 limit Interest-free salary advance to cover transport season tickets Explore our full list of benefits: UK benefits booklet ROI Benefits Booklet NI Benefits Booklet

Grayce is looking for ambitious and analytical graduates to join its dynamic team as Graduate Data Analysts in London. This is an exciting opportunity for individuals with a STEM degree (minimum 2:1) and a passion for data analysis to launch their careers in a fast-growing, innovative environment. As a Graduate Data Analyst, you will work with leading organisations across industries, gaining hands-on experience in data-driven decision-making, business intelligence, and technology solutions. You will receive specialist training, mentorship, and development opportunities through Grayce's Accelerated Development Programme, helping you build a strong foundation for a successful career in data analytics. If you are eager to apply your analytical skills and contribute to transformational projects, this role offers a fantastic opportunity to develop technical expertise, problem-solving abilities, and industry experience. About Grayce For over a decade, Grayce has been transforming the way businesses approach change and transformation. Established in 2012, Grayce provides a cost-effective, long-term solution to help organisations grow through its Development and Delivery Model. The company has successfully launched the careers of thousands of Analysts, shaping the next generation of digital leaders and innovators. Grayce collaborates with global organisations across industries, equipping them with change management, technology, and data capabilities. By hiring, training, and deploying early-career professionals, Grayce delivers high-performing talent ready to drive transformation. With extensive experience in talent development and deployment, Grayce offers a scalable, low-risk solution that enables businesses to build long-term capabilities. Through its Accelerated Development Programme, the company has supported over 2,000 projects across more than 100 organisations, ensuring sustainable growth and innovation. Position: Graduate Data Analyst Job Type: Full Time Location: London About the Role Job Position: Graduate Data Analyst (Engineer/Scientist) - via the Graduate Development Programme Application Requirements: Minimum 2:1 or above in a STEM (Science, Technology, Engineering, and Math) subject. Right to work in the UK unsponsored for the duration of the programme. Ability to work on site 5 days a week. Grayce is not on the UK Border Agency's Sponsor Register and is unable to sponsor work visas for international applicants. Are you a curious, adaptable, and proactive problem solver with strong communication skills and a drive to make an impact? At Grayce, we're looking for ambitious graduates who are eager to learn, take ownership and build meaningful relationships while delivering excellence. If you have a keen attention to detail and accuracy, a knack for spotting trends and patterns and the ability to tell a compelling story using data, you'll thrive in our environment. We value resourcefulness, resilience, and a passion for driving change. Join us and be part of a community that cares, collaborates, and thrives together. Responsibilities Understanding the types of roles available to a Graduate Data Analyst: Data Analyst: Kick-start your career as a Data Analyst, where you'll transform complex data into actionable insights, create dynamic visualisations and drive business decisions. You'll work with cutting-edge tools, collaborate with stakeholders, and develop automated reports and dashboards, all while refining your technical expertise and problem-solving skills in a fast-paced environment. Data Engineer: Launch your career as a Data Engineer, where you'll design and maintain data pipelines, integrate multiple data sources, and ensure data quality in a cloud-based environment. You'll write clean, testable code, automate data transformation processes, and collaborate with teams to build scalable, high-quality data solutions that drive business insights. Data Scientist: Working as a Data Scientist, you'll support quantitative research and management teams by delivering high-quality data models and exploratory analysis. You'll leverage your analytical skills to extract insights from complex datasets, build robust data pipelines, and collaborate across teams to drive data-driven initiatives that enhance data ecosystems. Why Grayce? We specialise in driving change and transformation for some of the world's most ambitious organisations and for over a decade, we've partnered with FTSE 100 and 250 companies to deliver impactful results by developing and deploying high-performing talent in the UK and beyond. Our accelerated development programme is designed to launch the careers of recent graduates eager to make an impact. We offer a fast-track route to expertise, allowing you to gain hands-on experience with one of our impressive clients in a variety of flexible roles. Opportunity: You'll embark on a journey of continuous learning, gaining industry-accredited qualifications, whilst getting hands-on experience, working full time on site directly with prestigious FTSE100, 250, and 500 organisations. Delivery: Typically will work for one client, delivering high quality outcomes during your Grayce tenure. The skills required for exceptional client delivery include natural curiosity, proactivity, adaptability, effective communication and problem solving. Mentoring: Thrive under the guidance of our experienced Delivery Managers and Technical Trainers. They'll be your go-to, offering support, insights and sharing experiences. Progression: Starting as an Analyst with the potential for significant salary progression, you will pick up invaluable skills and complete a minimum of 6 industry recognised accreditations during your time on the development programme. What makes a great Grayce Analyst 2:1 Undergraduate Degree: An undergraduate degree with a minimum 2:1 within a STEM field. A solid academic basis within data analysis and science through an additional MSc would be an advantage. Data Tools: Previous experience with tools such as Excel, R, SQL or Python are essential for this role. If you have utilised visualisation programmes such as Tableau or Power BI in projects before, we are also keen to hear from you. Analytical Problem Solving: We're looking for analytical minds that can spot patterns and think creatively. Whether it's dissecting complex issues or finding fresh angles, we highly value critical thinking skills and their application. Soft Skills: From effective communication styles to planning, organisation and a learning development mindset, Grayce is committed to building core consultancy skills. Stakeholder and time management are core skills we utilise every day and we look for examples of those through our interview process. Why work for us? Competitive Salary: Starting at £28,000 with potential for significant growth. Industry Recognition: We help you embark on your journey with fully funded, industry-recognised qualifications designed to maximise your experience and put you in control of your career. Mentors and Coaches: Access a network of mentors and coaches dedicated to you, your experiences and development at Grayce. Wellness Support: We are here for you 24/7 with our Employee Assistance Programme, offering confidential assistance ranging from financial and legal support to health and wellbeing. Required Documents CV/Resume Application Process Join Grayce today and take the first step toward becoming a future leader in data analytics. APPLY NOW

Job Title: Data Scientist Location: Remote with c. Quarterly travel to team events Salary: Competitive/Dependent on Experience Data Scientist (open to Data Scientists, Senior Data Scientists, and Lead/Principal Data Scientists) Insurance is a dynamic industry, offering fantastic opportunities for Data Scientists to tackle a variety of different challenges, using diverse data sources, analytical and modelling techniques. Ageas is a large Motor and Household insurer, meaning we play a key role in helping ordinary people protect their lifestyles and livelihoods when the worst happens. We have lots of data to work with and a wide variety of complex problems to solve. Data Science at Ageas Our Data Science team supports teams across the business to answer interesting questions such as: How can we identify fraudulent claims and disrupt organised crime? How much does it cost to repair a car after an accident or fix a home after a weather event? How can we best leverage Deep Learning and Generative AI models to maximise the potential of vast amounts of unstructured data, including calls, documents, and images? How do dynamic events (e.g., inflation, heatwaves, storms) and long-term trends (e.g., climate change, digitalisation) impact our business and our customers? How can we understand our customers better than anyone else so that we can consistently deliver what they want? At Ageas, we are investing in our core capabilities that make us even smarter and help us win in our chosen markets - that's our people and our technology. By joining our rapidly developing Advanced Analytics and Data Science Team as a Data Scientist, you will become an integral part of this strategic journey. Our team already draws talent from a diverse range of backgrounds, and we pride ourselves on producing innovative, insightful, and impactful work for collaborative stakeholders from across the business. The team is well respected within the business, emphasising thought leadership, innovation, insight and responsible practices. Leadership and Innovation: Enhancing Insight: Digging beneath the surface and being proactive in asking questions to our stakeholders and of our data Explaining analytics and model predictions to instil confidence in end-users Develop systems and techniques with a view to re-purposing them elsewhere for greater returns Demonstrating thought leadership and highlighting opportunities to deliver our 'AI first' strategy Engaging with senior leaders around the business to understand their challenges and opportunities Embracing 'the art of the possible' Demonstrate practical applications through time-boxed 'hackathons' for innovative use cases Transparency: Clear communication and explanations of Data Science techniques Working closely with operational teams to identify how to deliver impactful solutions to maximise benefits Taking a responsible and ethical approach to reduce and manage risks Who are we looking for? We have great opportunities available for self-motivated individuals who are looking for their first role after leaving university or, equally, for those already progressing well in their data science career and looking for a new challenge. This position offers the opportunity to learn and develop skills across multiple different areas of data science, including Generative AI. You will also help drive innovation, making sense of new and developing techniques for the wider business. In particular, we are looking for: Innovative and creative thinkers with knowledge of core data science techniques (e.g., clustering, classification, regression) and who can demonstrate initiative in tackling complex problems. Keen coders with a demonstrable ability to realise their ideas; some knowledge of Python is essential, including the use of fundamental data science libraries (e.g., Pandas, NumPy, Sci-kit-Learn). You may also have experience with Deep Learning models (libraries including PyTorch, Transformers) and usage of GenAI. Highly numerate and analytical problem-solvers, with a Degree, Masters or PhD in a mathematical, scientific, or computational field. Strong communicators with the ability to simplify and communicate complex technical ideas to the wider business. Happily curious individuals with an evident willingness to learn new things, revisit old problems in new ways, and tackle new problems from scratch. Throughout your work, you will need to think about data ethics and responsible AI, to make sure that we provide customers with the services that they need and help to protect them from unfair or harmful outcomes. At Ageas we offer a wide range of benefits to support you and your family inside and outside of work, which helped us achieve Top Employer status in the UK. Flexible Working: Smart gives employees flexibility around location (as long as it's within the UK) and, for many of our roles, flexibility within the working day to manage other commitments, such as school drop offs etc. We also offer all our vacancies part-time/job-shares. We also offer a minimum of 31 days holiday (inc. bank holidays) and you can buy and sell days. Supporting your Health: Dental Insurance, Health Cash Plan, Health Screening, Will Writing, Voluntary Critical Illness, Mental Health First Aiders, Well Being Activities - Yoga, Mindfulness. Supporting your Wealth: Annual Bonus Schemes, Annual Salary Reviews, Competitive Pension, Employee Savings, Employee Loans. Supporting you at Work: Well-being activities, yoga, mindfulness sessions, Sports and Social Club events and more Benefits for Them: Partner Life Assurance and Critical Illness cover. Getting Around: Car Salary Exchange, Cycle Scheme, Vehicle Breakdown Cover. Get some Tech: Deals on various gadgets including Wearables, Tablets and Laptops. Supporting you back to work: Return to work programme after maternity leave. About Ageas: We're one of the largest car and home insurers in the UK. Our people help Ageas to be a thriving, creative and innovative place to work, which is echoed in the service we provide to over four million customers. As an inclusive employer, we encourage anyone to apply. We're a signatory of the Race at Work Charter and Women in Finance Charter, a Stonewall diversity champion and a Disability Confident Employer (which means interviews are guaranteed for applicants with a disability who meet the minimum role criteria). For more information please see Ageas Everyone. Our aim is to have great people everywhere in our business and we're always looking for outstanding people to join us. Most roles across Ageas allow a proportion of your time to be spent working from home and we're open to discussing flexible working, including full-time, part-time or job share arrangements. To find out more about Ageas, see About Us. Want to be part of a Winning Team? Come and join Ageas.

Data Scientist - University of Edinburgh Visa Sponsorship Available The University of Edinburgh is looking to recruit a highly motivated Data Scientist to join a pioneering new team within the School of Informatics, focused on AI-driven solutions using advanced biological data modalities. This is a unique opportunity to grow your technical skills in a world-leading research environment, working on projects at the cutting edge of data science and artificial intelligence. Applicants should hold a degree in a relevant field such as mathematics, data science, artificial intelligence, statistics, or biomedical/biological sciences. The ideal candidate will have hands-on experience applying a variety of computational techniques to drive meaningful results and insights from complex datasets. This role offers a chance to be part of an ambitious, interdisciplinary team, applying data analysis to real-world biological challenges with the potential to impact science, health, and innovation. Visa sponsorship is available, making this a fantastic opportunity for international candidates looking to advance their career in data science within a top-tier academic institution. Position: Data Scientist Salary: £40,497 to £48,149 per annum Job Type: Full Time Location: Edinburgh About the Role Grade UE07: £40,497 to £48,149 per annum CSE/School of Informatics Full time: 35 hours per week Fixed term: 24 months The School of Informatics, University of Edinburgh invites applications for two Biomedical Data Scientists to support our newly established Biomedical Data Intelligence Hub. The Opportunity: The Biomedical Data Intelligence Hub will support our breadth of research in Artificial Intelligence (AI) for quantitative biology and biomedicine. The Hub will operate as a research and training support unit in partnership with the UKRI Centre for Doctoral Training in Biomedical AI, which currently funds over 40 doctoral students working in medical informatics, biotechnology, drug discovery, medical imaging, and signal processing. The Hub is designed to augment and catalyse the Centre's ongoing projects with advanced data science skills and compute capabilities. In this role you will develop data solutions as part of a team of Data Scientists and a Software Engineer using a combination of AI, Machine Learning, and other data science techniques, with dedicated access to our new GPU server with state-of-the-art compute. Projects will typically involve implementation of statistical models, data analysis pipelines, or deep learning architectures for various tasks, including computer vision, time-series analysis, high-dimensional clustering or large language models. Requirements We are particularly interested in candidates who: Have hands-on experience using a range of computational techniques to achieve meaningful outcomes. Wish to apply and grow their technical skills in a brand-new team focused on AI solutions with cutting-edge biological data modalities. Enjoy transforming high-level scientific goals into precise, AI-driven research questions and methodologies. Can offer technical mentorship to Centre students, fostering a collaborative, inclusive and supportive environment. Cares deeply about well-designed models, algorithms, and data pipelines. The Hub will work on a range of goal-orientated projects with diverse data sources and requirements specified by project owners, and with close interactions with the School of Informatics, the School of Biological Sciences, the Institute for Genetics and Cancer, the Usher Institute for public health, and the NHS. Projects can involve various data modalities, including cellular and genomic data, medical imaging data, neural data, healthcare and patient record data and molecular/structural data. The Data Intelligence Hub will be located at the School of Informatics, widely recognized as one of the birthplaces of AI and home to some of the latest developments in the field. The role offers multiple opportunities for networking and skills development, for example through co-creation of research projects, or engaging with multi-stakeholder initiatives across the university and beyond. Edinburgh is an exciting European capital, with excellent quality of life and a thriving science, arts, and cultural scene, as well as access to beautiful natural landscapes. Funding for this role ends on 30 September 2027. Your skills and attributes for success: Degree in a relevant field (e.g. mathematics, data science, artificial intelligence, statistics, biomedical/biological sciences). Experience in a role involving data science, including managing, structuring, visualizing, analysing data, and building statistical or machine learning tools. Fluency in one or more data science programming languages (R, Python with NumPy/pandas etc, Julia) with experience in writing documentation. Excellent written and verbal communication skills including the ability to present technical information and to write structured technical reports. Ability to assimilate new ideas and turn them into practical, applied techniques, and willingness to continue to learn new techniques. Proven time management skills across competing tasks requiring rapid context switching. Please include the following documents in your application: CV As a valued member of our team you can expect: An exciting, positive, creative, challenging and rewarding place to work. To be part of a diverse and vibrant international community Comprehensive Staff Benefits, such as a generous holiday entitlement, competitive pension schemes, staff discounts, and family-friendly initiatives. Championing equality, diversity and inclusion The University of Edinburgh holds a Silver Athena SWAN award in recognition of our commitment to advance gender equality in higher education. We are members of the Race Equality Charter and we are also Stonewall Scotland Diversity Champions, actively promoting LGBT equality. The University may be able to sponsor the employment of international workers in this role. This will depend on a number of factors specific to the successful applicant. Key dates to note: The closing date for applications is 6 May 2025. About Us As a world-leading research-intensive University, we are here to address tomorrow's greatest challenges. About the Team Informatics is the study of how natural and artificial systems store, process and communicate information. Research in Informatics promises to take information technology to a new level. Application Process APPLY TODAY and help shape the future of AI and data science at the University of Edinburgh.

Data Analyst: Marketing & Data Storytelling at Constructor Constructor, a leading tech company based in London, is looking for a talented Data Analyst to specialize in Marketing & Data Storytelling. This remote role offers an exciting opportunity to work with cutting-edge technologies such as Athena/Presto, Python (notebooks), Databricks, Google Analytics, and top BI tools like Looker and Tableau. About Constructor Constructor is the only search and product discovery platform tailor-made for enterprise ecommerce where conversions matter. Constructor's AI-first solutions make it easier for shoppers to discover products they want to buy and for ecommerce teams to deliver highly personalized experiences that drive impressive results. Optimizing specifically for ecommerce metrics like revenue, conversion rate and profit, Constructor generates consistent $10M+ lifts for some of the biggest brands in ecommerce, such as Sephora, Petco, home24, Maxeda Brands, Birkenstock and The Very Group. Constructor is a U.S. based company that was founded in 2015 by Eli Finkelshteyn and Dan McCormick. Position: Data Analyst Salary: £45,000 to £68,000 a year Job Type: Full Time Location: Remote (London, UK) About the Role At Constructor, we believe in the power of data to tell compelling stories. Our Marketing Data Storytelling program transforms complex retail data into meaningful insights that resonate with the public, industry professionals, and media. Through aggregated data analysis, we uncover trends, benchmarks, and unique insights about Ecommerce search and product discovery, providing valuable information to the broader retail and technology communities. As a Data Analyst in this team, you will collaborate with marketers, data scientists, and engineers to derive actionable insights from large datasets and translate them into engaging reports, blog posts, and thought leadership pieces that showcase the impact of Constructor's technology in the ecommerce space. Responsibilities Analyze aggregated retailer data to identify key trends and benchmarks in ecommerce search, merchandising, personalization and other aspects of product discovery. Work with the content team to develop compelling data-driven narratives to support Constructor's marketing initiatives, including blog posts, white papers, and industry reports. Work closely with the marketing and content teams to translate analytical findings into accessible and visually appealing data visualizations and insights. Identify patterns in search and discovery behaviors across industries to help inform retailers and industry professionals. Develop and maintain dashboards and reports that highlight industry benchmarks and Constructor's impact. Partner with internal data science and engineering teams to ensure the accuracy and integrity of the data used for storytelling initiatives. Requirements You have a strong ability to analyze and interpret large datasets, uncovering meaningful trends and insights. You are proficient in SQL and experienced in using Python (pandas, numpy, matplotlib, seaborn) for exploratory data analysis and data visualization. Big plus is practical familiarity with the big data stack (Spark, Presto/Athena, Hive). You have experience with BI tools (e.g., Looker, Tableau, Google Data Studio) to create compelling visual representations of data. You have excellent communication skills, with the ability to translate complex data insights into clear and engaging narratives for both technical and non-technical audiences. You are familiar with statistics, A/B testing, and data storytelling principles. A strong understanding of the ecommerce space, including search, personalization, and merchandising trends is preferred. You are proactive and thrive in a fast-paced, remote-first environment.

Data Engineer - Join One of the UK's Most Exciting Tech Start-ups Location: London (Hybrid) Salary: £40,000-£65,000 + Equity Our client, one of the UK's fastest-growing and most exciting tech start-ups, is looking for a talented Data Engineer to help shape the future of its data strategy. Named one of LinkedIn's Top 10 UK Start-ups and now operating Nation-wide, this is a unique opportunity to join a high-growth business that's already making a meaningful impact and has lots more to come! The Role: As a Data Engineer, you'll design, build and maintain scalable data pipelines and architecture that support analytics feeding directly into customer-facing mobile and web applications, as well as internal tools used to drive strategic decisions. Key Responsibilities: Build and maintain scalable data pipelines to support both internal dashboards and customer-facing products Design and implement efficient data architecture for optimal storage, retrieval, and processing Develop ETL processes to ingest, transform, and load data from various sources, particularly APIs Collaborate with data scientists and software engineers to align data strategies with app development Work with internal stakeholders to shape and meet business data needs Maintain documentation, monitor pipeline performance, and resolve issues as they arise About You: Strong problem-solving skills, demonstrated through academic or professional experience In-depth understanding of data architecture, data-modelling, and best practices in data engineering Proficient in Python and SQL; experience with data processing frameworks such as Airflow, TensorFlow, or Spark is advantageous Willingness to gain working knowledge of backend development (e.g., Python with Django) for pipeline integration Familiarity with data versioning, quality management, and CI/CD pipelines Experience with cloud platforms (e.g., AWS or Azure) and data tools such as Terraform or SageMaker is a plus Ideally, some hands-on experience building and maintaining data pipelines in a production environment What's on Offer: Competitive salary: £40,000-£65,000, dependent on skills and experience Private medical insurance Equity in a well-funded, high-growth start-up Office gym membership Dog-friendly office located in the heart of Camden A supportive, social, and dynamic team culture This is an exceptional opportunity for a data engineer who wants to make an impact at scale, grow in a supportive environment, and be part of an ambitious team at the forefront of UK tech innovation. If you're ready for your next challenge, we'd love to hear from you.

Do you have a passion for analytics and providing data led solutions? Are you an experienced data professional with knowledge of data cleansing, modelling and data analysis methods? We have a new opportunity for a Senior Data Scientist to join our highly successful digital team. You will be working as part of an award-winning team of Analysts and Data Engineering experts, driving digital change across Stantec and our clients, with a particular focus on projects within the water sector. We're customer and user-focused, pushing new ways of working across digital, whilst incorporating technology and data into all our services and solutions. Your input into the Digital solutions being developed will be fundamental to Stantec's ongoing growth and success. As part of our global team, you will help to develop newer, better services and products for our clients. You will also be deriving insights from data that enable proactive management of assets and more informed investment planning, benefiting communities and the environment by using digital technology to help our clients meet the challenges faced within the Water industry. This role is client facing - you will need to work with our clients in the water industry to understand their requirements, propose data analytics solutions/approaches, support proposal writing, and work with the team to deliver the work. You will be involved in the technical delivery and supporting more junior members of the team. This role can be based in either our Leeds, Manchester or Warrington offices, with hybrid working allowing for a mix of in-office and home working. About You You will have experience of developing automated tools to help clients understand their data, along with optimisation and predictive analytics solutions to improve decision-making. You will be able to use a variety of approaches to extracting value from data, importantly being an advanced Python user, knowing how to clean and prepare data, tell a story through presentations and dashboards (Power BI), and where appropriate build and implement ML models. You will have an understanding of how to implement technical solutions into client processes to effect real change. As a senior member of the team, you will be expected to support junior colleagues with mentoring, training, and quality assurance. You will also be expected to contribute to defining and raising technical standards in the team and to scope out proposals and help win work. As well as being an advanced Python user, you will be able to use SQL to extract and analyse data. A strong emphasis is placed on applying good DevOps principles and version control. Knowledge and experience of deploying solutions in the cloud (especially Azure) would be a plus. You will be able to design solutions around client requirements and have an understanding of test principles. About Stantec The Stantec community unites more than 31,000 employees working in over 450 locations across 6 continents. We have been working with our clients and communities in the UK for over 150 years. We plan, design, deliver and manage the development and infrastructure needed to support the creation of sustainable, healthy and prosperous communities. Our teams provide effective and relevant solutions, translating our clients' vision into valued consents, deliverable plans for projects and programmes, and efficient designs for delivery, based on technical excellence and deep market insights. We deal with today's challenges, but also keep a fairer, better tomorrow in sight, looking at how we deliver clean growth, support radical changes in our economy and meet the needs of future communities. Stantec provides equal employment opportunities to all qualified employees and applicants for future and current employment and prohibits discrimination on the grounds of race, colour, religion, sex, national origin, age, marital status, genetic information, disability, sexual orientation, gender identity or gender expression. We prohibit discrimination in decisions concerning recruitment, hiring, referral, promotion, compensation, fringe benefits, job training, terminations or any other condition of employment. Stantec is in compliance with laws and regulations and ensures equitable opportunities in all aspects of employment. Building an inspired, inclusive work environment that attracts, supports, and develops world-class talent is a crucial key to our success. If you are excited by this role but worry that your experience doesn't exactly align, we encourage you to apply. At Stantec we want you to perform your best at every stage of the recruitment process and are committed to ensuring it is accessible to all. If you need any support or require adjustments to be made then please contact careers.UK& and we will talk to you about how we can support you. ReqID: 6632

The role Millions of people visit the Rightmove website every month, to view more property listings than any other portal in the UK. We have a huge amount of data about how people use the site, and what this means to our customers. Your role is to design, deliver and evolve the data pipelines and infrastructure to enable data scientists and analysts from across Rightmove to get the insights they need to drive our business strategy, and to use that data to power our user and customer experiences directly. Rightmove has a significant existing data infrastructure, across Google Cloud, on-premises and in SaaS environments. Data has powered the user and customer experience throughout our history, but we know we can do more with our data. We are looking for people who can use their experience to help us take a big step forward in our data vision. This role is a key part of a data team and will often be the lead in projects, particularly for more complex work. We recognise that to deliver the best products and features for our consumers, customers, and colleagues we need to work effectively as a healthy, high performing team. We work collaboratively across a mix of product and centralised teams, together working towards Rightmove's strategy. Key responsibilities: You will work on our complex data challenges, bringing short term wins and longer-term value from our data. You will help design and develop data pipelines, sourcing data from internal databases, and SaaS applications. You will help evolve the data platform, be involved in architectural decisions and driving the implementation of the technical component of the data strategy. You will build, refine, and evolve other components of the data platform, such as data lakes and data warehouses. You will help data analysts and analytics engineers set up materialised views, optimise large queries, and automate manual tasks to create an automated process to get data into reports and dashboards. You will optimise data storage, query performance and cost in BigQuery and other on-demand services. You will practice and promote excellent data and software engineering best practices. You will coach other engineers to support their development and encourage high quality work. We are looking for someone who: Combines an analytical and business-oriented mindset to create intelligent data solutions that generate powerful insights, as well as great user and customer experiences. Has experience working in (or closely with) a data analytics or science team. Demonstrates a deep understanding of databases, analytical data warehouses and data pipeline tools. Extensive exposure to Google Cloud Platform or similar modern cloud platforms. Is a competent Python developer who always strives to adopt engineering best practices. Has built, designed, and maintained large datasets in the cloud and is capable of identifying relationships in data. Knows what good data infrastructure looks like; can work with architects to set a vision for the data platform. Has deployed data applications and solutions using CI/CD pipelines and Infrastructure as Code (IaC) tools. Is comfortable working in a dynamic environment with a degree of ambiguity. Can coach engineers, analysts and data scientists so they can learn from your experience. Has a STEM subject degree. Still not sure? We want to be part of creating a more diverse, equitable, and inclusive workplace for all. We're excited to hear about your experience as well as how you will contribute to our overall culture. So, even if you feel like you don't meet all the requirements, we would still really like to hear from you! About us Our vision is to give everyone the belief they can make their move. We aim to make moving simpler, by giving everyone the best place to turn to and return to for access to the tools, expertise, trust, and belief to make it happen. We're home to the UK's largest choice of properties and are the go-to destination for millions of people planning their next move, reading the latest industry news, or just browsing what's on the market. Despite this growth, we've remained a friendly, supportive place to work with employee still working here! We've done this by placing the Rightmove How's at the heart of everything we do. These are the essential values that reflect our culture and include: Be approachable and appreciate what others do. Make complex things as simple as possible. Build great teams, because Rightmove is people. Drive improvement, we can always be better. Share early, honestly, and often. We believe in careers that open doors and help our team develop by providing an open and inclusive work environment, offering ongoing training opportunities, and supporting charity fundraising events. And with 88% of Rightmovers saying we're a great place to work, we're clearly doing something right! If all of this has caught your eye, you may well be a Rightmover in the making! _ As an Equal Opportunity Employer, Rightmove will never discriminate based on age, disability, sex, race, religion or belief, gender reassignment, marriage / civil partnership, pregnancy/maternity or sexual orientation. At Rightmove, we believe that a diverse and inclusive workforce leads to better innovation, productivity, and overall success. We are committed to creating a welcoming and inclusive environment for all employees, regardless of their background or identity, to develop and promote a diverse culture that reflects the communities we serve.

We are looking for a Data Scientist to join our Digital Technology & Change team in our Solihull office on a hybrid basis. As a crucial team member, you will play a key role in shaping and implementing the nPower Business Solutions (nBS) strategy to enhance the digital customer and colleague experience. Join us in our transition towards a Product led DevOps model and contribute to shaping our operational approach and capabilities as we expand our business. nBS is the E.ON Industrial and Commercial (I&C) area of EON and a market leader in the energy retail sector. I&C is a £7 billion revenue business serving c30,000 customers and approximately 250,000 meter points with a view to becoming the number one B2B energy supplier in the UK. Data Scientist Here's what you'll be doing Conduct in-depth analysis of customer behaviour and portfolio. Prepare data meticulously for modelling and analysis. Collaborate with business and data owners to identify data science opportunities. Interpret and present analytical findings effectively. Engage stakeholders in data delivery automation. Inspire the business with new data management capabilities. Enhance internal data solutions and productivity across the organisation. What we need from you Forward-thinking with a focus on scalability and future opportunities. Proficiency in data handling and analysis. Excellent communication skills for cross-functional collaboration. Minimum of five years of experience in data analysis or machine learning. Knowledge of statistical methods and tools like SQL, Python, or R. Experience in the energy sector is preferred. Familiarity with statistical data evaluation tools such as SAS, Jupyter, etc. Here's what you need to know Award-Winning Benefits: Our market-leading benefits package includes 26 days of holiday plus bank holidays, a generous pension scheme, life cover, bonus opportunities, and access to 20 flexible benefits with tax and/or NI savings. Recognised for Family-Friendly and Hybrid Policies: In 2024, we earned Double Recognition at the Personnel Today Awards for our exceptional family-friendly and hybrid working initiatives. Inclusive Employer: As the only energy company in the Inclusive Top 50 UK Employers (currently ranked 8th), we're committed to equal opportunities, diversity, and fairness for everyone. Support for Disabled Applicants: As a Disability Confident Employer, we guarantee an interview for all disabled candidates who meet the minimum role criteria. Development Opportunities: With inclusive talent networks, learning resources, and skill-building programs, your career growth is a priority. At a glance Get in touch For more information please contact the Recruiter About us E.ON is a privately owned international energy company. Our 75,000 colleagues in 15 countries work daily towards the improvement of technical innovations and user-friendly customer solutions for the new energy world.

Senior Data Scientist with a GenAI focus Welcome to an exciting opportunity where ambitious individuals are invited to join a team of inquisitive minds and supportive peers, all driven by a shared passion and diverse skills aimed at creating value for businesses through data. About Us We are Ascent! and we help our customers solve problems, elevate, and do existing things better. We are on a mission to help our customers connect data, software, and purpose to create extraordinary outcomes. You could say we are a digital transformation business. We specialize in software product development, analytics, data science, IoT solutions, machine learning, DevOps optimization, and modernization of applications, data, and platforms. We work with incredible clients in all types of industries such as smart home devices, space exploration, beer manufacturing, finance, ecology, and logistics. We work with some of the sharpest minds in the brightest businesses and we employ the sharpest minds too! At Ascent, we also believe in fostering a vibrant office community where collaboration thrives and connections flourish. With our hybrid approach, we prioritize hiring individuals who reside in close proximity to our central offices in Bristol and London. Our aim is to cultivate a positive atmosphere and sense of belonging by facilitating easy access to the office. However, we welcome applicants from all other areas in the UK, as we value diversity and recognize the unique perspectives each individual brings to our team. About the role You will join our rapidly expanding data practice and will be part of our multi-disciplined teams, building Generative AI-based solutions for clients. You'll work very closely with our customers to iterate, experiment, and prototype solutions for their business challenges. This role will require a strong consultative approach coupled with critical thinking and hands-on NLP and GenAI (RAG) expertise. You'll be a key member in this team, with significant customer exposure, taking them on the journey from early adoption through to scale. You'll have a solid understanding of the foundations required for successful projects across infrastructure, business, data and AI, and be an anchor of the relationship with our customers. Speaking with empathy and credibility will be key. Skills and Experience required 1+ years of focused LLM / GenAI and RAG project experience, preferably in a leadership role; A data science background. NLP experience is key; Fluent in Python, and able to rapidly and independently prototype and develop code, as well as deliver production-quality; Experience in some of the Azure data services; Familiar with best practices on model tuning, drift monitoring and optimisation; Experienced in consulting and stakeholder management, break down business problems and formulate technical solutions. What you will do Understand client requests and business processes to propose how GenAI may solve business challenges; Chain of thought reasoning to build up LLM based solutions; Resource Augmented Generation (RAG) including optimisation of chunking and metadata; Follow Responsible AI principles; Rapidly develop customer demonstrations to show the art of the possible with GenAI; Contribute to Ascent's Gen AI methodology and accelerators; Be a member of our Data Science and Gen AI communities and play a key role in continuing to evolve Ascent's GenAI capability and collateral. Working at Ascent At Ascent we promote a healthy work-life balance by offering flexibility in where you work. We also promote well-being and provide access to Well Being Coaches. Your development and learning will be taken seriously, and we'll support your professional development with training and certification, with regular feedback and review. It is a fun, supportive and modern workplace where we really live by our company values of Empathy, Energy and Audacity! Ascent also offers a variety of benefits in each of our countries. Ascent is an equal opportunities employer. We take intentional steps to ensure inclusion and belonging are something real here, not just something we talk about. No person will be treated less favourably because of their gender, pregnancy, and maternity status, marital or civil partnership status, sexual orientation, race, nationality, ethnic origin, age, religion or belief, or disability status.

Our AI Consultant roles are unique. The ideal candidate is a rare hybrid, a scientist with strong technical skills in AI and machine learning, the programming abilities to scrape, combine, and manage data from a variety of sources and a statistician who knows how to derive insights from the information within. They will combine the skills to create new prototypes with the creativity and thoroughness to ask and answer the deepest questions about the data, what secrets it holds, and to push the boundaries of what is possible with big data. Want to know more? What You'll Do: Conduct in-depth analysis of data available to Equifax and its partners. Collaborate with product managers to conduct market research and validate product needs. Develop and test AI models and algorithms, utilizing platforms like Vertex AI and BQML. Contribute to the creation of business cases for proposed AI solutions. Evaluate the feasibility and potential impact of AI projects. Provide technical guidance and support to junior analysts. Be proficient in Python, stay up-to-date on the latest advancements in AI and machine learning. Utilize combined knowledge of data structures, analytics, algorithms/models, and strong computer science fundamentals to independently prepare datasets, conduct analytics, and develop deployable solutions. Collect, analyze and interpret large data assets to define and build multiple innovative solution components leveraging business and technical expertise. Support the analytical strategy by understanding critical technical capabilities and suggesting opportunities. Lead the development of projects with multiple deliverables, leveraging business and technical expertise. Work on high-complexity tasks in problems often within multiple business or analytical domains, collaborating with other teams to develop predictive models, risk assessments, fraud detection, recommendation engines, etc. Package, summarize, visualize and perform storytelling on analytical findings and results for management and business users. Communicate results to external stakeholders and mid-level leadership, able to communicate business impact of work. Evaluate the technical work of peer and junior data scientists, guiding them on deliverable quality and accuracy. What experience you need: Bachelor's degree (2:1 or above) in a numerical subject (Computer Science, Mathematics, Statistics, Physics, Engineering). Solid experience in data analysis, machine learning, and AI development. Hands-on experience with cloud-based AI platforms and tools. Proficiency in programming languages such as Python and SQL. Strong analytical and problem-solving skills. Ability to work independently and as part of a team. Good communication, presentation, and visualization skills. Strong experience in a related analytical role. Proven track record of designing and developing predictive models in real-world applications. Experience with model performance evaluation and predictive model optimization for accuracy and efficiency. Cloud certification strongly preferred. Additional role-based certifications may be required depending upon region/BU requirements. What could set you apart: Experience with specific AI techniques, such as neural networks or natural language processing. Knowledge of the financial services industry. Contributions to open-source AI projects. Experience with data visualization tools. Passion for data science, data mining, machine learning and experience with big data architectures and methods. A Master's degree in a quantitative field (Statistics, Mathematics, Economics).

We are an organisation that exists to drive progress. That's the "red thread" that connects everyone at The Economist Group (TEG). Our businesses share a devotion to innovation, independence and rigour in their fields of expertise. We empower people to understand and tackle the critical challenges and changes facing the world. Our analytical rigour, global expertise and evidence-based insights enable individuals and organisations to make sense of these shifts and chart a course through them. We deliver analysis and insights in many formats to subscribers and clients in 170 countries through our four businesses, The Economist, Economist Impact, Economist Intelligence and Economist Education, which uphold our global reputation for excellence and integrity. The Role We are looking for a Senior Generative AI (GenAI) Engineer to join our Economist Group engineering team. Your primary focus will be to design, develop, ship, maintain and oversee the overall architecture of our data platforms - with a focus on systems related to our customer facing products. The initial focus will be around implementing appropriate data infrastructure required to enable predictive analytics, ML algorithms, and Generative AI applications, and in conjunction with the Head of AI and Data Engineering support the organisation to implement their vision. You'll also work with individuals from our corporate data team (responsible for reporting, analytics and insights), as well as work collaboratively with data scientists and analysts in other teams across the organisation. The role will suit either an existing senior or a mid-level GenAI Engineer, or even an NLP /ML Engineer or Data Scientist ready for their next challenge, but with at least some experience leading or mentoring a high performing team. You should enjoy working with autonomy in a creative and entrepreneurial environment, and have a strong commitment to producing high quality solutions. We offer flexible working and have recently shifted to a remote first working policy with a minimum expectation of coming to the office two days a month, however you can come in more often if you wish to. How you will contribute in this role: Architecting, building and maintaining GenAI processing pipelines / workflows in Python via technologies such as serverless functions, Airflow, MLflow, SageMaker, Bedrock, or other Working with Data and NLP Engineers and Data Scientists to automate experiments that bring ML and NLP research ideas to production Fine Tuning and consuming Large Language Models (LLM) directly or via third party Generative AI API services Setting up Retrieval Augmented Generation (RAG) architectures, prompt engineering (ICL), and Reinforcement Learning from Human Feedback (RLHF) processes Implement MLOps and related DevOps focused on LLMs deployed in cloud-native environments Support, optimise and transition our current processes to ensure well architected implementations and best practices Work in an agile environment within a collaborative product team Collaborate across departments and work closely with business stakeholders as well as other engineering teams, in refining data requirements for various initiatives and data consumption needs Educate and train colleagues such as data scientists, analysts, and stakeholders in GenAI pipelining and data processing techniques, which make it easier for them to integrate and consume the data they need for their own use cases Participate in ensuring compliance and governance during model use, to ensure that the users consume the resources provisioned to them responsibly through data governance and compliance initiatives Become an GenAI evangelist, and promote the available capabilities and expertise to business unit leaders, and educate them in leveraging these What we're looking for: Professional experience with NLP (as well as some experience in GenAI), used in large scale digital applications Extensive experience with programming in Python and Jupyter notebooks Professional experience in designing, building and managing bespoke GenAI solutions in cloud environments, utilising platforms such as Amazon Bedrock Experience in building NLP solutions while consuming LLMs, either directly from third party APIs or directly from repositories such as Hugging Face Strong, fundamental technical expertise in cloud-native technologies, such as AWS Lambda, API Gateway, SageMaker Studio, Amazon ECR, CDK, or equivalent Experience in leading / mentoring NLP / ML / GenAI engineering teams Experience in working in teams with data scientists and data engineers, for building automated pipelines for model building, deployment and monitoring An advanced degree in computer science, information science, data science, linguistics, or a related quantitative field or equivalent work experience Strong verbal and written communication skills and ability to work well with a wide range of stakeholders Strong ownership, scrappy and biassed for action What we offer Benefits We offer excellent benefits including an incentive programme, generous annual and parental leave policies, volunteering days and well-being support throughout the year, as well as free access to all Economist content. Country specific benefits are also offered. Our Values Our values are a collective set of beliefs and behaviours that strengthen The Economist Group's purpose and demonstrate where we want to be as an organisation. They reflect on our mission to pursue progress for individuals, organisations and the world. Independence We are not bound to any party or interest and encourage exploration and free-thinking. We champion freedom, both within our organisation and around the world. Integrity We are bold in our efforts to uncover the truth and stand up for what we believe in. We inspire trust through our rigour, fact-checking and transparency. Excellence We aspire to the highest standards in all we do. We are ambitious and inquisitive in our pursuit of continuous progress and innovation. Inclusivity We value diversity in thought and background and encourage healthy debate with a breadth of perspectives. We treat our colleagues and customers fairly and respectfully. Openness We foster a collaborative and empathetic culture conducive to the interests, wit and initiative of our colleagues. New ideas are our lifeblood. The Economist Group values diversity. We are committed to equal opportunities and creating an inclusive environment for all our colleagues and potential colleagues regardless of ethnic origin, national origin, gender, gender identity, race, colour, religious beliefs, disability, sexual orientation, age, marital status or any other status.

Data Scientist - Join One of the UK's Most Exciting Tech Start-ups Location: London (Hybrid) Salary: £65,000-£110,000 + Equity Our client is one of the UK's fastest-growing tech start-ups, recently recognised as one of LinkedIn's Top 10 UK Start-ups and already active nationwide. They're seeking a talented Data Scientist to play a pivotal role in scaling the company's AI capabilities and delivering data-driven impact at speed. The Role: As a Data Scientist, you will apply advanced analytics, AI, and problem-solving skills to interpret partner data, uncover trends, and build intelligent solutions that enhance operational efficiency within a booming UK Market. Key Responsibilities: Develop AI models to predict and optimise labour deployment based on demand patterns Build systems to monitor and improve service quality across partner operations Analyse data from high-profile hospitality partners to identify opportunities for value creation Design visualisations and dashboards for both internal and external stakeholders Maintain and scale analytics infrastructure for broader impact Collaborate across technical and non-technical teams to design and implement solutions What We're Looking For: 2+ years' experience building production-grade AI/ML models Strong Python skills and familiarity with leading AI/ML libraries Solid understanding of supervised and unsupervised learning techniques Experience in demand prediction, optimisation, or computer vision is advantageous Comfortable working with cloud platforms (preferably AWS) and services like SageMaker or Lambda Strong mathematical and statistical foundations, with a sharp eye for patterns and insights Willingness to build basic backend development skills (Python/Django or Go) to support deployment What's on Offer: Competitive salary: £65,000-£110,000 (depending on experience and skills) Private medical insurance Unlimited holiday allowance Office gym membership Equity in a well-funded, high-growth startup Friendly, social team culture based in the heart of Camden Dog-friendly office This is a rare opportunity to join a mission-led business that's reshaping a vital sector, with real traction, strong backing, and an ambitious roadmap. If you're ready to put your data science skills to work in a dynamic, real-world setting - this is the role for you. Apply now to be part of something transformational.

Our Company Teradata is the connected multi-cloud data platform for enterprise analytics company. Our enterprise analytics solve business challenges from start to scale. Only Teradata gives you the flexibility to handle the massive and mixed data workloads of the future, today. The Teradata Vantage architecture is cloud native, delivered as-a-service, and built on an open ecosystem. These design features make Vantage the ideal platform to optimize price performance in a multi-cloud environment. What You'll Do The Senior Data Scientist (pre-sales) is an experienced and expert Data Scientist, able to provide industry thought-leadership on Analytics and its application across industries and across use-cases. The Senior Data Scientist supports the account team in framing business problems and in identifying analytic solutions that leverage Teradata technology and that are disruptive, innovative - and above all, practical. An articulate and compelling communicator, the Senior Data Scientist establishes our position as an important partner for advanced analytics with customers and prospects and is a trusted advisor to executives, senior managers and fellow data scientists alike across a range of target accounts. They are also a hands-on practitioner who is ready, willing and able to roll-up her sleeves and to deliver POC and short-term pre-sales engagements. The Senior Data Scientist has an excellent theoretical and practical understanding of statistics and machine learning and has a strong track record of applying this understanding at scale to drive business benefit. They are insanely curious and is a natural problem-solver and able to effectively promote Teradata technology and solutions to our customers. Who You'll Work With Provide pre-sales support at an executive level to the Teradata account teams, helping them to position and sell complex Analytic solutions that drive sales of Teradata software. Provide strategic pre-sales consulting to executives and senior managers in our target market. Support the delivery of PoC and PoV projects that demonstrate the viability and applicability of Analytic use-cases and the superiority of Teradata solutions and services. Work with the extended Account team, and Sales Analytics Specialists to develop new Analytic propositions that are aligned with industry trends and customer requirements. What Makes You a Qualified Candidate Have proven hands-on experience of complex analytics at scale for example in the areas of IoT and sensor data. Understand the PMML and ONNX model portability standards. Have experience with Teradata partner's analytical products, Cloud Service providers such as AzureML and Sagemaker and partner products such as Dataiku and H2O. Have strong hands-on programming skills in at least one major analytic programming language and/or tool in addition to SQL. What You'll Bring An expertise in Data Science with a strong theoretical grounding in statistics, advanced analytics, and machine learning and at least 5 years real-world experience in the application of advanced analytics. A passion about knowledge sharing and demonstrate a commitment to continuous professional development. A belief in Teradata's Analytic solutions and services and be a commitment to working with the product, engineering, and consulting teams to ensure that they continue to lead the market. An ability to turn complex technical subject matter into relatable easy to digest and understand content for senior audiences. A degree level qualification (preferably Masters or PhD) in Statistics, Data Science, the physical or biological sciences or a related discipline.

Are you looking for a place, where the positiveness of a can-do attitude & the unbelievable team spirit are key values of your surrounding environment? We validate and implement new technologies and create tailored solutions for our customers. We commit to a culture of innovation and embracing emerging technologies. We are brave in standing up for the best solution and being honest with our client or colleagues. We value teamwork and collaboration, and we believe that collective efforts of us are essential for achieving our and the client goals. Join our team and let's create the future together! Responsibilities Taking Responsibility: You will design and develop innovative AI projects that solve complex problems. Holistic Support: You will oversee the entire lifecycle of AI applications-from evaluation and conception to development, deployment, and production operation. Software Development: You will follow standard software development practices (version control, testing, DevOps), program conversational user interfaces, provide APIs for integration, and connect with other APIs. Use Case Evaluation: You will identify and assess new AI use cases and integrate them into existing business processes. Teamwork: You will collaborate closely with data scientists, data engineers, and software developers to develop and scale AI solutions. Optimisation: You will evaluate and optimize existing AI models in terms of performance, scalability, accuracy, and security. Many Opportunities: You will have the chance to expand your expertise and apply your knowledge to various areas in projects. For example, if you're interested in infrastructure, you can contribute to optimising cloud or on-premises infrastructure for AI workloads to ensure cost efficiency. Your Profile You have a solid background in software development and practical experience in generative AI, machine learning, or data-driven projects. You are proficient in programming languages such as Python, Java, TypeScript, and Go, and have experience with REST APIs and databases. You understand generative AI methodologies such as RAG, fine-tuning, agents, reasoning workflows, and more. You plan architecture and software with foresight to ensure automation, stability, and maintainability. Knowledge of cloud technologies (Azure or AWS), data science, Kubernetes, or front-end development is an advantage. You are highly technically inclined, enjoy independently diving into new technologies and tasks, and are eager to share your knowledge with colleagues. You are a team player with strong communication skills. Why PRODYNA Location in the city center Private health Insurance Health support and wellbeing Business travels Team events Employee education Fruits in the office Employee referral program Work permit is needed for this job opening! Further details can be provided in a personal meeting with you.

In the dynamic landscape of On, Data and Machine Learning play a crucial role in accelerating our business growth and operations. We are enhancing our technology landscape to fuel the growth of On, helping to ignite the human spirit through movement. Your Mission Lead the AI Platform Domain: Provide technical leadership and architectural vision for On's AI platform. Drive the strategy, development and implementation of scalable, reliable, and efficient machine learning solutions. Solve Complex Challenges: Tackle On's most challenging problems using cutting-edge machine learning techniques. Develop and deploy models that optimize e-commerce experiences, streamline supply chain operations, and unlock new business opportunities. This includes building impactful recommendation systems and contributing to data-driven product development. Champion AI/ML Best Practices: Be a passionate advocate for AI/ML within On. Promote best practices in model development, deployment, and monitoring. Educate and mentor other engineers and data scientists on the latest advancements in the field. Collaborate and Mentor: Work closely with data engineers, data scientists, and product teams to integrate machine learning solutions into On's technology ecosystem. Mentor and guide junior engineers, fostering a culture of learning and growth. Drive Innovation: Stay at the forefront of machine learning research and development. Identify and evaluate new technologies and techniques to enhance On's AI capabilities. Your Story Deep Machine Learning Expertise: You possess extensive experience in designing, developing, and deploying machine learning models in production environments. You have a strong theoretical foundation and practical expertise in areas such as deep learning, natural language processing, and computer vision. You are a hands-on builder with a proven track record of developing and deploying successful machine learning solutions, including recommendation systems. Technical Leadership: You have a proven track record of leading complex machine learning initiatives and providing technical guidance to engineering teams. You are comfortable working with large datasets and building scalable, high-performance systems. Cloud and Platform Expertise: You are familiar with cloud-based machine learning platforms (e.g., GCP, AWS) and have experience deploying and managing models in these environments. Exceptional Communicator: You have outstanding communication and interpersonal skills, allowing you to effectively convey complex technical information to diverse audiences, from junior engineers to senior leadership (up to the Director level). You are passionate about sharing your knowledge and mentoring others. Meet The Team You will be part of a talented and diverse team of data engineers, data scientists and product managers passionate about revolutionizing how we leverage AI/ML to solve complex challenges across On. We are building innovative machine learning solutions to optimize internal processes, enhance customer experiences, and drive business growth in areas ranging from e-commerce to supply chain optimisation. As the most senior IC ML expert, you will play a critical role in shaping our AI strategy and mentoring other engineers. What We Offer On is a place that is centered around growth and progress. We offer an environment designed to give people the tools to develop holistically - to stay active, to learn, explore and innovate. Our distinctive approach combines a supportive, team-oriented atmosphere, with access to personal self-care for both physical and mental well-being, so each person is led by purpose. On is an Equal Opportunity Employer. We are committed to creating a work environment that is fair and inclusive, where all decisions related to recruitment, advancement, and retention are free of discrimination. Company: On Qualifications: Language requirements: Specific requirements: Educational level: Level of experience (years): Senior (5+ years of experience)

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 at the edge. KX technology enables the discovery of richer, actionable insights for faster, better-informed decision making which drives competitive advantage and transformative growth for our customers. KX operates across North America, Europe, and Asia Pacific. About the Role: We are seeking a skilled QA Lead with expertise in Python to join our growing team. The ideal candidate will have extensive experience in testing web applications and API services, and be able to design and implement robust test frameworks and test plans that ensure high-quality software. Key Responsibilities: Develop and execute manual and automated test cases using Python-based testing tools and frameworks. Work closely with developers to ensure timely resolution of issues and to prevent defects from reaching production. Design and implement test plans that cover functional and non-functional testing of web applications and API services. Collaborate with cross-functional teams to develop and maintain a continuous integration/continuous deployment (CI/CD) pipeline for testing. Establish and maintain quality standards for software development, including coding standards, code reviews, and documentation. Participate in software design reviews to ensure testability of features and to identify potential quality issues. Analyze test results and identify trends, provide feedback to the development team, and implement corrective actions. Train and mentor team members on testing techniques and best practices. Requirements: Bachelor's degree in Computer Science, Engineering, or related field. At least 5 years of experience in software testing, including experience with Python-based testing tools and frameworks. Experience in testing web applications and API services. Strong understanding of software development life cycle (SDLC), software testing methodologies, and software quality assurance (SQA) principles. Experience with continuous integration/continuous deployment (CI/CD) pipelines. Familiarity with Agile software development methodologies. Excellent written and verbal communication skills. Strong analytical and problem-solving skills. Experience leading a team of QA engineers is a plus. Location & Workplace Type: This position takes on a Hybrid working model, based in London, UK. Benefits: Competitive Salary Individually tailored training and skills development Private healthcare package and Employee Assistance Programme Enhanced maternity and paternity package Wellness Days and Volunteer Days

We're on a mission to make money work for everyone. We're waving goodbye to the complicated and confusing ways of traditional banking. With our hot coral cards and get-paid-early feature, combined with financial education on social media and our award-winning customer service, we have a long history of creating magical moments for our customers! We want to solve problems and change lives through Monzo. We're here to make money work for everyone and we're doing things differently. For too long, banking has been obtuse, complex, and opaque. We want to change that and build a bank with everyone, for everyone. Our amazing community suggests features, tests the app, and gives us constant feedback so we can build something everyone loves. We're focused on solving problems rather than selling financial products. We want to make the world a better place and change people's lives through Monzo. About our Core Banking Team: Core Banking is responsible for the current account used by 10 million customers. This includes creating compelling value propositions for different audiences (including Joint, Under 16s, and 16 to 17 accounts), designing the overall app structure, the day-to-day money management experience (including features like Trends, Salary Sorter, Bills Pots, and more), and other value propositions like Travel. The collective is also responsible for Subscriptions, which are paid upgrades that unlock extra benefits and functionality that help customers make financial progress. We're now gearing up for our next phase of growth, from 10 million to 20 million customers. What you'll be working on: Lead the product strategy in App Evolution within Core Banking - continuing to evolve the app experience for customers to make it magically simple to manage money day-to-day with Monzo, and help customers discover differentiated value. Develop and execute best practices for experimentation enabling our team to make data-informed decisions. Collaboratively set standards and work with data across Monzo, fostering knowledge sharing and continuously improving data practices. Work closely with leaders in product, engineering, design, and research to build and iterate on product ideas. You should apply if: You enjoy working with cross-functional fast-moving teams. You can think strategically about the Core Banking product and how decisions using data can unlock more value for our customers. You are excited about mentoring other data scientists and analytics engineers. You are excited by experimentation and utilizing new data techniques to solve challenging problems. You want to understand the nuances of our data and are excited about laying the key foundational knowledge for our new products and features. You are opinionated about how to think about measuring success and are willing to challenge the status quo. The interview process: Our interview process involves: Initial Call Technical assessment Final Interviews Business Fit/Collaboration Case Study Technical Interview Our average process takes around 2-3 weeks but we will always work around your availability. You will have the chance to speak to our recruitment team at various points during your process. If you have any specific questions ahead of this, please contact us on . What's in it for you: £95,000 to £115,000 + Stock Options + Benefits We can help you relocate to the UK. We can sponsor visas. This role can be based in our London office, but we're open to distributed working within the UK (with ad hoc meetings in London). We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team. Learning budget of £1,000 a year for books, training courses, and conferences. And much more, see our full list of benefits here . If you prefer to work part-time, we'll make this happen whenever we can - whether this is to help you meet other commitments or strike a great work-life balance. Equal opportunities for everyone: Diversity and inclusion are a priority for us, and we're making sure we have lots of support for all of our people to grow at Monzo. At Monzo, we're embracing diversity by fostering an inclusive environment for all people to do the best work of their lives with us. This is integral to our mission of making money work for everyone. You can read more in our blog, 2023 Diversity and Inclusion Report, and 2023 Gender Pay Gap Report. We're an equal opportunity employer. All applicants will be considered for employment without attention to age, ethnicity, religion, sex, sexual orientation, gender identity, family or parental status, national origin, or veteran, neurodiversity, or disability status. If you have a preferred name, please use it to apply. We don't need full or birth names at application stage. Apply for this job indicates a required field First Name Last Name Email Phone Resume/CV Enter manually Accepted file types: pdf, doc, docx, txt, rtf LinkedIn Profile Select A US Person is defined as someone who: was born in the United States (US) has at least 1 parent who was born in the US is a naturalised citizen of the US is a green card holder is a US tax resident Please confirm your UK Right to Work status. We legally have to verify your Right to Work in the UK before you can start working for us. We're asking for this information now so we know later what type of right to work check we need to do. Your answer to this question won't affect the outcome of your application, unless you'd need visa sponsorship but are applying to a role we can't sponsor. If you'd like to, please share your preferred pronouns (eg. they/them/theirs, she/her/hers). 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About the Role: Grade Level (for internal use): 11 The Role: Data Scientist, Credit Research & Insights The Team: The Credit Research & Insights team, within S&P Global Ratings Research, provides timely credit research and insight in relation to global credit and rating performance trends. The team generates leading-edge high frequency credit research which is widely used throughout the firm and by external stakeholders. The Impact: S&P Global Ratings Credit Research & Insights team is looking for an experienced data scientist who will play a crucial role in shaping and managing the team's data-driven research projects. This role serves as the backbone to all the team's data science related projects. The ideal candidate should be highly motivated, goal-oriented and be able to work independently on data science projects. She or he will need to interact with senior analysts and management across the firm as well as senior external parties. What's in it for you: Opportunity to work on high profile credit research projects and reports, which are extensively read outside the firm. Ability to influence and shape future data driven global research initiatives, using extensive proprietary datasets. Highly visible role with exposure to and engagement with multiple teams and stakeholders across the organization. Opportunity to work with an extensive list of proprietary datasets, as well as external sources, and be the original source of new research initiatives. Exposure to global credit markets including multiple asset classes (corporates, public finance, structured finance, sovereigns). Engagement with external stakeholders. Responsibilities: Organize and analyze large data sets and be able to communicate your findings to senior analysts. Undertake pre-processing of structured and unstructured data. Drive both business decisions and research based on the insights obtained from the data. Be able to use natural language processing to analyze internal and external data. Propose data solutions and strategies to business challenges and opportunities. Assist with improving data efficiencies and processes across the team. Conduct quantitative and qualitative credit research, and various statistical analysis to analyze trends. Monitor and analyze key global market credit trends. Manage Access and Oracle databases, including writing queries. Write commentary to support research observations. Meet rigorous publishing deadlines. Interpret and articulate research report findings for external clients, and internal stakeholders. Stay actively abreast of financial market events and their implications. What We are Looking For: Basic Qualifications: 3-5 years of experience in a data science role. Degree in a highly quantitative field: Computer Science, Machine Learning, Statistics, Mathematics, etc. Proficiency with data mining, knowledge of probability theory and advanced statistical techniques. Experience with regression analysis (beyond linear regression), supervised learning, unsupervised learning or time-series analysis. Experience with scientific scripting languages (Python, R, Matlab). Experience accessing and manipulating data in SQL database environments. Experience presenting to internal and external audiences. Comfortable working in a dynamic, fast-paced environment. Team player with track record of collaboration with cross functional and cross regional teams. Demonstrated ability to self-manage, take initiative, and meet deadlines. Preferred Qualifications: Advanced degree in quantitative field preferred. Prior experience working in a research capacity within financial markets. About S&P Global Ratings At S&P Global Ratings, our analyst-driven credit ratings, research, and sustainable finance opinions provide critical insights that are essential to translating complexity into clarity so market participants can uncover opportunities and make decisions with conviction. S&P Global Ratings is a division of S&P Global (NYSE: SPGI). S&P Global is the world's foremost provider of credit ratings, benchmarks, analytics and workflow solutions in the global capital, commodity and automotive markets. For more information, visit Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law.

Help us build an everything-but-average insurance brand. Fit for the ones who step outside the norm. We back the ones who step outside the norm. People who find themselves on a different path, either by choice or by circumstance. The exceptions to the rules that others aren't interested in serving. Those are the ones we want to back, in everything we do. For the next three years, that means becoming the go-to insurer for people who are new to the UK. A huge cohort of people that the industry is not set up to support. Not only do we cater for their immediate needs (fairer, cheaper prices), we also go above and beyond to make them feel seen and heard in everything we do. About the Role We're looking for a Lead Risk Pricing Data Scientist who will lead the development of our credit risk and pricing systems. This is a unique opportunity to shape a new system from the ground up, unencumbered by legacy systems or constraints. The Lead Risk Pricing Data Scientist will be a hands-on builder and help us develop a team over time. They will be part of a small team of engineers and product people, working independently from the wider business. This role requires autonomy, drive, curiosity and collaboration. What you'll be doing: Designing, developing, and deploying innovative new pricing and underwriting models to price new to country migrants. Developing and owning robust risk monitoring and reporting processes to ensure we stay within appetite as we scale. Being a champion of data and solidifying data-driven processes within the team. Building a team of analysts and data scientists as we scale, and setting a culture of extremely high quality. The role reports to the GM of Marshmallow Credit. You should apply if: You have a bias for action. You are proactive at identifying opportunities and can unblock yourself to drive you and your team forward. You can be very hands-on. Working in a new vertical means that you'll be working as the sole credit risk analyst initially. You're a strong communicator and facilitator. You can comfortably prototype to explore and present your work. You are deeply challenging. You challenge how things are done, both externally and internally. You're a pioneer. You want to discover and scope new opportunities that may be uncharted territory. This isn't for you if: You need top-down direction. You will be the most experienced credit analyst in the company and will be expected to lead the strategy yourself. You rely on a large team of doers. You should be excited by getting your hands dirty and designing the first systems and models yourself. What we're looking for from you: Experiences that are essential: Experience building innovative productionised credit risk models. Experience directly leading or strongly contributing to credit risk strategies. Strong coding ability in Python and SQL. Experience using and deploying data science techniques. Ability to manipulate large data sets. 5+ years commercial experience. Experiences that will help you: Experience working in cross-functional teams. Experience in the car finance sector. Experience working with thin file customers. Experience working with open banking datasets. Experience managing a team. Experience in a high-growth company. Perks of the job: Competitive bonus scheme - designed to reward and recognise high performance. Flexible benefits budget - £50 per month to spend on a Ben Mastercard. Sabbatical Leave - Get a 4-week fully paid sabbatical after being with us for 4 years. Work From Anywhere - 4 weeks work from anywhere to use, with no need to come to the office. Mental wellbeing support - Access therapy and mental health sessions through Oliva. Learning and development - Personal budgets for books and training courses to help you grow in your role. Private health care - Enjoy all the benefits Vitality has to offer. Medical cash plan - To help you with the costs of dental, optical and physio. Tech scheme - Get the latest tech for less. Plus all the rest; 33 days holiday (including bank holidays), pension, cycle to work scheme, monthly team socials and company-wide socials every month! Our process We break it up into 3 stages: Initial call with Daniel, our Talent Acquisition Partner (30 mins). A culture interview with our General Manager, Faris (1 hour). A previous experience interview with Paul, our Director of Data Science & AI (45 minutes). At Marshmallow, we want to hire people from all walks of life with the passion and skills needed to help us achieve our company mission. To do that, we're committed to hiring without judgement, prejudice or bias. We're working hard to build an inclusive culture that empowers our people to do their best work, have fun and feel that they belong.

As a Tech Manager - Data Engineer with AWS experience, you will play a crucial role in the design, development, and maintenance of our data infrastructure. Your work will empower data-driven decision-making and contribute to the success of our data-driven initiatives. Key Responsibilities: Data Integration: Develop and maintain data pipelines to extract, transform, and load (ETL) data from various sources into AWS data stores for both batch and streaming data ingestion. AWS Expertise: Utilize your expertise in AWS services such as Amazon EMR, S3, AWS Glue, Amazon Redshift, AWS Lambda, and more to build and optimize data solutions. Data Modeling: Design and implement data models to support analytical and reporting needs, ensuring data accuracy and performance. Data Quality: Implement data quality and data governance best practices to maintain data integrity. Performance Optimization: Identify and resolve performance bottlenecks in data pipelines and storage solutions to ensure optimal performance. Documentation: Create and maintain comprehensive documentation for data pipelines, architecture, and best practices. Collaboration: Collaborate with cross-functional teams, including data scientists and analysts, to understand data requirements and deliver high-quality data solutions. Automation: Implement automation processes and best practices to streamline data workflows and reduce manual interventions. Must have: AWS, ETL, EMR, GLUE, Spark/Scala, Java, Python. Good to have: Cloudera - Spark, Hive, Impala, HDFS, Informatica PowerCenter, Informatica DQ/DG, Snowflake Erwin. Qualifications: Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field. 5 to 8 years of experience in data engineering, including working with AWS services. Proficiency in AWS services like S3, Glue, Redshift, Lambda, and EMR. Knowledge of Cloudera-based Hadoop is a plus. Strong ETL development skills and experience with data integration tools. Knowledge of data modeling, data warehousing, and data transformation techniques. Familiarity with data quality and data governance principles. Strong problem-solving and troubleshooting skills. Excellent communication and teamwork skills, with the ability to collaborate with technical and non-technical stakeholders. Knowledge of best practices in data engineering, scalability, and performance optimization. Experience with version control systems and DevOps practices is a plus.

DESCRIPTION Amazon Web Services (AWS) is the leading cloud provider, providing virtualized infrastructure, storage, networking, messaging, and many other services to customers all over the world. AWS runs a globally distributed environment, operating at massive levels of scale. Businesses, from start-ups to enterprises, run their operations and applications on AWS' multi-tenant infrastructure. Key job responsibilities As a Senior Security Engineer, you'll help to build and manage services that detect and automate the mitigation of cybersecurity threats across Amazon's infrastructure. You'll work with data scientists, software development engineers, and other security engineers across multiple teams to develop innovative security solutions. Our services protect the AWS cloud for all customers and preserves our customers' trust in us. You'll get to use the full power and breadth of AWS technologies to build services that proactively protect AWS customers, both internally and externally, from security threats. You will be working in a team of industry-leading security experts working with UK customers to operate and continuously improve industry-leading security programs and processes. This team manages the underlying security programs and processes for personnel security, physical and logical accreditations, education, awareness and training, assurance, and cyber security. This position will have visibility at senior levels of government agencies, commercial institutions, and AWS including interaction with CISOs, CTOs, their staffs, and AWS senior leadership. In addition to a strong understanding of security technologies, tool development, offensive and defensive security tactics, and ideally some experience with distributed systems, you'll need a number of other qualities to be successful in this role. The team has a mix of experience levels, and we're building an environment that celebrates knowledge sharing and mentorship. Our senior engineers, data scientists, and managers truly enjoy mentoring junior engineers, data scientists, and engineers from non-traditional backgrounds through one-on-one mentoring and thorough, but kind, code reviews. BASIC QUALIFICATIONS • Extensive experience performing security investigations, penetration testing, and/or incident response in the context of large organisations. • In-depth understanding of security threats, hands-on experience detecting and defending from cyber attacks, and experience using big data analytics and orchestration to address security challenges. Ability to develop code with at least one modern language such as Java, Go, TypeScript, Python, Rust and security code review. • Demonstrated technical leadership in security (e.g., tech lead, developed security architecture for a product or system, led technical component of security project, etc.). Experience leading and coaching junior security engineers to improve their skills and effectiveness. PREFERRED QUALIFICATIONS • BS or MS in a STEM related field. Understanding of the Mitre ATT&CK framework and knowledge of host and network telemetry data (e.g., process lists, application logs, NetFlow). • Have awareness and understanding of current cyber security threats, actors and their techniques. Experience with data science, big data analytics technology stack, analytic development for endpoint and network security, and streaming technologies (e.g., Kafka, Spark Streaming, and Kinesis). • Strong sense of ownership combined with collaborative approach to overcoming challenges and influencing organisational change. Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

SRT Marine Systems plc (SRT) is a fast growing and ambitious company headquartered in Bath, UK that is making a global impact in the marine domain. We are leading the next generation of maritime domain awareness technologies, products and systems that significantly enhance, security, safety and environment protection and sustainability. Our customers are worldwide and range from the largest national coast guards to individual vessel owners. SRT is an exciting meritocracy, where high quality results are rewarded. We are ambitious and are constantly seeking to innovate to deliver better products to our customers. We strive to make SRT a rewarding and challenging place to work where talented hard-working individuals can make a real impact across the marine world. Role This is an amazing opportunity for a Technical Product Owner to join our Systems business and help to define and deliver a key component of our Maritime Surveillance and Fisheries Monitoring solution. The Technical Product Owner will work within a development team focussed on integrating sensing and communication technologies, alongside developing software features to get the best out of these devices. The team works with Radar, VHF/HF radio systems, AIS, Radio Direction Finders and high-performance surveillance cameras that form an essential part of our maritime surveillance solutions. In the role of Technical Product Owner we work a Hybrid working model, with at least 1 day a week in our Cardiff office. Therefore the role is commutable from such places as Bristol, Malvern, Tewkesbury, Newport, Filton, Gloucester, Cheltenham, Swindon, Reading, Stroud, Worcester, Swansea and the surrounding areas. Role Responsibilities of the Technical Product Owner (not exhaustive): Act as Technical Product Owner in our edge sensing and communications team Work with the team to integrate Radar, Surveillance Camera, Radio communication and other complex sensor solutions into our maritime domain awareness solutions Develop your understanding of third-party sensor systems capabilities, interfaces and system architectures alongside your knowledge of our requirements to build solutions that work for our customers Evolve early product concepts into features that solve our user's problems Be the subject matter expert on our sensor integrations Collaborate with stakeholders, technical SMEs, and customers to define and refine innovative new features for our roadmap Work closely with UX/UI design colleagues to ensure new features meet a high bar for usability and visual impact Build strong relationships your stakeholders and ensure alignment across development teams Present features to the wider team in reviews Train our Customer Success and Support teams on new sensor and communications functionality Understand wider end-to-end use cases for our systems and how our mobile apps fit into an overall solution Skills, Experience and Qualities we are looking for in our Technical Product Owner Technical Product ownership experience, ideally developing networked systems that integrate third party sensors and radio communication technology You can demonstrate a good understanding of best practice in Agile software delivery and the role of a product owner in that context You're comfortable working at pace, managing change and removing uncertainty You have experience collaborating with UX/UI designers, data scientists, and developers A clear and concise communicator, able to bring complex topics to a non-technical audience and infer requirements from non-technical stakeholders and users You are pragmatic in your approach to Product Management and Agile delivery You're able to clearly convey requirements in both formal requirements documentation and user story format Some background in software development, solution architecture or another technical discipline will be beneficial as you'll need to hold your own in technical discussions with our team and suppliers You're happy to stretch your product skills into software delivery management Any experience in the maritime or asset tracking domains is a bonus, as is experience with radio communications systems or IoT products A role related Engineering Degree would prove highly beneficial, but not essential for this role Benefits Highly competitive salary Company pension contributions, matched up to 5% 25 days annual leave rising to 28 days dependent on length of service Private health care Life Assurance Company "Get to know you" days SRT Marine plc are an equal opportunity employer. We are committed to creating an inclusive working environment for all employees and actively encourage applications from all sectors of the community.

Viridien () is an advanced technology, digital and Earth data company that pushes the boundaries of science for a more prosperous and sustainable future. With our ingenuity, drive and deep curiosity we discover new insights, innovations, and solutions that efficiently and responsibly resolve complex natural resource, digital, energy transition and infrastructure challenges. Job Details We are looking for skilled and innovative individuals to join our dynamic team. This role is ideal for those who have a strong foundation in machine learning (ML) and programming, coupled with an innate curiosity and drive to tackle complex challenges. Reporting to the Head of AI Lab, you will be primarily responsible for developing and enhancing machine learning algorithms across various projects, including document processing, satellite imagery analysis, and Large Language Models (LLM). You'll collaborate closely with experienced engineers and data scientists to address complex challenges, deliver impactful solutions, and adapt to evolving project needs, all while maintaining a strong commitment to continuous learning and team collaboration. Qualifications • Hold a PhD or MSc degree in Computer Science, Artificial Intelligence, Data Science, or related field Key Skills And Experiences Proficient in machine learning and statistics, with hands-on experience in computer vision (CV) or natural language processing (NLP); understanding of large language models (LLM) is a plus Skilled in object-oriented programming using Python Familiar with PyTorch or other machine learning frameworks Excellent problem-solving skills Strong communication skills, both written and verbal Why work with us? Competitive salary commensurate with experience Highly attractive bonus scheme Initial 22 days annual leave with future increases, complemented by a flexible buying and selling holiday program Company pension with generous employer contribution Wellbeing Unmind app - puts you in control of your mental health A flexible benefits platform with numerous discount schemes - gym membership, restaurants, cinema tickets, and much more! Cycle purchase scheme Flexible Private Medical & Dental care programmes Bank Holiday Swap - our holiday swap program allows you to change it for another day of your choice! Buy & Sell Holiday Programme - you can buy extra holiday, sell unused holiday or even save it up! Relaxed dress code policy Learning and Development At Viridien, we foster a culture of continuous learning and provide tailored training programs through our Learning Hub, designed to enhance technical, commercial, and personal growth. We Care About The Environment We encourage and actively support a strong sense of community, through volunteering and various company initiatives, as well as a strong company commitment to protecting our environment through sustainable solutions, energy saving and waste reduction enterprises. We see things differently. Diversity fuels our innovation, we value the unique ways in which we differ, and we are committed to equal employment opportunities for all professionals. Company: Viridien Qualifications: Language requirements: Specific requirements: Educational level: Level of experience (years): Senior (5+ years of experience)