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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.

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.

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.

Das erwartet dich Ein Mitglied unserer Unternehmensgruppe wächst und sucht genau DICH! Du bringst Erfahrung im Bereich Datenanalyse, Data Science und Machine Learning mit? Dann bist du an dieser Stelle richtig! Die Pierer Innovation GmbH unterstützt Unternehmen innerhalb der Pierer Mobility Group sowie externen Auftraggebern bei der Gestaltung und Umsetzung ihrer Digitalisierungsstrategie. Der Fokus liegt auf der Konzeption, Entwicklung und Implementierung datengetriebener Use Cases. DIESE AUFGABEN ERWARTEN DICH BEI UNS Du entwickelst eigenständig innovative Konzepte und Lösungen in den Bereichen AI & Data Science. Du nutzt statistische Methoden und Algorithmen zur Lösung komplexer Geschäftsprobleme. Du bist verantwortlich für die Entwicklung und das Training von Machine Learning Modellen. Du profitierst von einer offenen und freien Arbeitsatmosphäre, die es dir ermöglicht, an innovativen Konzepten zu arbeiten. Du arbeitest an zukunftsträchtigen Themen mit externen Forschungspartnern und Universitäten. Das bringst du mit Erfolgreich abgeschlossenes Studium in Data Science, Statistik, Informatik oder anderem MINT-Fach Berufserfahrung und fundierte Kenntnisse im Bereich Data Analytics, Machine Learning und Data Science Erfahrung in der Entwicklung von Prototypen, Datenaufbereitung und Modeltraining (Python, ML Studio, Databricks, ) Erfahrung in der Umsetzung von Projekten im Bereich generative AI und AI Agents (OpenAI, langchain, MS Copilot Extensions) Erfahrung mit Azure Cloud Services von Vorteil Kommunikationsstärke, soziale Kompetenz und hohe Lernbereitschaft Selbständiger und eigenverantwortlicher Arbeitsstil Wir bieten Ein spannendes Aufgabengebiet in einem jungen, dynamischen Team Flexible Arbeitszeiten und die Möglichkeit, bis zu 40% remote zu arbeiten Die Option, flexibel an einem unserer Standorte in Wels, Linz oder Salzburg zu arbeiten Zeitliche und finanzielle Ressourcen, um dich fachlich weiterzubilden Teilnahme an Fachkonferenzen und vieles mehr Kollektivvertrag Wir bieten ein attraktives und leistungsbezogenes Gehalt, das sich an der Qualifikation und der Berufserfahrung orientiert. Dieses kann deutlich über dem Kollektivvertrag liegen (KV-Minimum auf Basis einer Vollzeitbeschäftigung ist lt. IT-KV 15/III(1)-ST1 Regelstufe 43.316,- brutto pro Jahr)

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.

Senior coastal water quality modeller page is loaded Senior coastal water quality modeller Apply locations GB.Manchester.Piccadilly GB.Bristol.The Hub GB.Peterborough.Western House time type Full time posted on Posted 2 Days Ago job requisition id R-129684 Job Description Senior coastal water quality modeller (flexible on location) This position is available as either full-time or part-time and can be based in any of our office locations. Our largest team presences are in: London, Birmingham, Bristol, Derby, Edinburgh, Epsom, Glasgow, Oxford, Peterborough, Swansea, and Manchester - however, we have offices in many other locations across the UK where you could be based. Could you take a key role in water quality services within our friendly and successful water management consultancy? This is an excellent opportunity for a candidate looking to progress their career at an exciting time for the industry. Our Water Management Consultancy operates at the interface between people and the water environment, with specialisms in water quality, water resources planning, flood risk management, and climate analysis. All of this requires a thorough understanding of biogeochemical and hydrological processes. Our team thrives on solving complex challenges related to water quality, resources, and climate resilience. AtkinsRéalis is one of the world's most respected design, engineering, and project management consultancies, with over 36,000 employees worldwide. At AtkinsRéalis, we offer more than just a job. We offer an opportunity to make a difference and shape the world to benefit future generations and the natural environment. Our Water Management Consultancy Practice covers a wider range of specialisms - including environmental chemistry, water quality, catchment management, hydrology/water resource planning, and geomorphology. We pride ourselves on the quality of our work and the depth of our technical expertise. We currently have a number of new exciting and technically challenging projects in water quality and specifically in the coastal water quality modelling field. We welcome applications from enthusiastic scientists and engineers in this field. The post can be full-time or part-time; with flexibility to make this work for you. As a Senior coastal Water Quality Modelling specialist, you'll play a pivotal role in solving pollution problems and creating healthier, more biodiverse environments for everyone. Collaborating with a friendly and accomplished team, you'll lead projects that really make a difference in an industry that's evolving rapidly. You will join a team of nearly 200 water management specialists, supporting our clients in making the right strategic investment decisions for critical infrastructure, in changing futures and climates, in areas as diverse as water resources, natural capital, nature-base solutions, flood management, green infrastructure, energy, and transportation. We work for clients across the UK, including central government, regulators, the water industry, NGOs, and local authorities. Beyond the UK, we play an important role in supporting major international development banks and private clients in driving forwards sustainable water management solutions for irrigation, potable water supply, and wider infrastructure schemes. Responsibilities: You will be joining an established and successful team, working with our water quality Technical Authority on the coordination and delivery of water quality modelling investigations. You will work effectively as part of a team and with other professionals (environmental scientists, engineers, planners) throughout AtkinsRéalis to provide a consistent and integrated service to our clients. You will champion high standards of performance, influence project development and deliver sustainable outcomes. You will undertake your own work to an excellent standard and review the work of others, leading on projects and frameworks as appropriate. You will additionally work closely with our clients to develop trusted relationships, supporting them in a confident, professional manner. You will lead bid preparation and develop new areas of business for the team. We will support and train you with all of this and make sure that you can undertake Continual Professional Development in accordance with requirements of a professional institute. The individual we are looking for is someone flexible, prepared to take on new challenges and lead water quality modelling projects. You will be someone recognised for your comprehensive experience in coastal hydrodynamic and water quality modelling, in industry standard software packages such as MIKE and Delft. You will have a degree or higher in an environmental, science, or engineering subject; you will ideally be chartered. You will have high-level numerical and data analysis skills and be an articulate report writer. You will have a deep knowledge of environmental water quality regulation and how this is applied; for example, the Water Framework Directive, Bathing Water Directive, Storm Overflow Assessment Framework (SOAF), and Storm Overflows Discharge Reduction Plans (SODRP). You will have the ability to lead the development of innovative approaches in new technical areas and in data-poor environments to support clients in decision-making. You will be highly self-motivated, possessing strong enthusiasm, commitment to delivering sustainable outcomes, and focused on delivering technical excellence. A skilled collaborative worker, you will have great interpersonal skills and an ability to communicate effectively with different teams, clients, and stakeholders; including training more junior colleagues in your technical field. You will be well-organised, able to plan ahead and deal with multiple projects running in parallel. What we offer: Part-time and/or flexible hours contracts. Paid overtime and/or TOIL system. Competitive salaries and a huge range of other benefits. 25 days annual leave, plus paid bank holidays and the ability to buy up to 15 extra days. Paid professional memberships and training opportunities. Tailored training and mentoring schemes to advance your career. And so much more. At AtkinsRéalis everyone belongs. We have a commitment to identify and recruit from the most diverse talent pool and develop new and improved ways to sponsor talent from underrepresented groups. We have a range of employee network groups encouraging an inclusive workplace where all employees can flourish, including Embrace (supporting minority ethnicities), Enable (supporting visible and invisible disabilities), Equilibrium (for LGBT+ colleagues), Menopause at Work, Neurodiversity (for variations in learning, attention, and other mental functions), ParentNet, and Empower (providing professional support by and for women). Here at AtkinsRéalis, wellbeing is at the forefront of everything we do. We recognise that there is more to life than work and that making time for the other things is crucial for health and happiness. Therefore, if working from home, working part-time, or having flexible start and finish times will help with this, we are more than happy to discuss individual requirements (and to keep these requirements flexible going forward). We utilise a paid overtime and TOIL system, which also helps individuals to make time for the things that are important to them and prevents staff burnout during the busy season. Our IT systems support home-working, so where you have parental or carer duties; or you simply need to be elsewhere for a parcel, servicing your car, or waiting in for a tradesperson; AtkinsRéalis will work for you. Similarly, Atkins' corporate social responsibility provides the opportunity to give something back to the community, and we run professional networks supporting groups such as local schools, charities, parents, those coming out of the armed forces, and women in engineering. Training: AtkinsRéalis develops individuals through a portfolio of training and development activities designed to help you make the best of your abilities and talents. Development plans are reviewed with individuals throughout the year putting you in the driving seat. You will also be part of our global Technical Networks, which provide a flow of technically orientated information and ideas through the company. AtkinsRéalis will support you in your professional development, whether with CIWEM, IMarEST, IES, ICE, or others; we support staff in achieving and maintaining membership of relevant institutions, this includes paying your annual membership and providing access to training. Rewards and Benefits: We offer a competitive salary that is regularly tested against other consultants with a default 25-days leave each year plus bank holidays and options to buy some or sell off that leave. To support and safeguard your physical and mental wellbeing we provide an employee assistance programme offering advice and support in times of need. Our offices run their own sports and social club providing activities such as wine tasting, surf trips, and a kids' Christmas party. You will also have access to our Flexible Benefits, where you can opt into a wide range of benefits to complement your work/life balance: such as medical insurance, gym membership, the cycle-to-work scheme, childcare vouchers, charitable giving, additional pension contributions, etc. Please refer to our website for details of our full benefits package. . click apply for full job details

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.

The Onyx Research Data Platform organization represents a major investment by GSK R&D and Digital & Tech, designed to deliver a step-change in our ability to leverage data, knowledge, and prediction to find new medicines. We are a full-stack shop consisting of product and portfolio leadership, data engineering, infrastructure and DevOps, data / metadata / knowledge platforms, and AI/ML and analysis platforms, all geared toward: Building a next-generation data experience for GSK's scientists, engineers, and decision-makers, increasing productivity, and reducing time spent on "data mechanics" Providing best-in-class AI/ML and data analysis environments to accelerate our predictive capabilities and attract top-tier talent Aggressively engineering our data at scale to unlock the value of our combined data assets and predictions in real-time Onyx Product Management is at the heart of our mission, ensuring that everything from our infrastructure, to platforms, to end-user facing data assets and environments is designed to maximize our impact on R&D. The Product Management team partners with R&D stakeholders and Onyx leadership to develop a strategic roadmap for all customer-facing aspects of Onyx, including data assets, ontology, Knowledge Graph / semantic search, data / computing / analysis platforms, and data-powered applications. We are seeking a highly skilled and experienced Senior Product Manager for our DevOps and Infrastructure products. In this role, you will be responsible for developing and executing the product strategy of our DevOps and Infrastructure platforms to meet the customer needs. You will partner closely with the leaders of Onyx's engineering teams (DevOps and Infrastructure, AI/ML analysis and computing platform, data & knowledge platform, data engineering, UI/UX engineering), along with the Onyx portfolio management team, to deliver industry-leading DevOps and Infrastructure products that provide Infrastructure-as-code abstractions and operating principles, leading cloud computing capability, automation, observability, operability, and developer experience. You will drive the product roadmap, guide product development initiatives, and ensure the successful launch and adoption of DevOps and Infrastructure products. Together, you will facilitate joint planning and execution of the product roadmap, ensuring a balance between strategic development and customer-facing deliverables. You will also play a key role in devising, tracking, and publicizing metrics that measure the impact and performance of Onyx platform products. This ensures that we have the right DevOps and Infrastructure components to power our platforms and services reliably and securely. Key responsibilities for the Senior Product Manager - DevOps and Infrastructure Products include: Product Strategy and Roadmap: Develop and execute a comprehensive product strategy and roadmap for our DevOps and Infrastructure product portfolio, aligned with the Onyx's overall product vision and objectives. Customer Understanding: Conduct in-depth customer research, gather customer insights, and engage with customers regularly to understand emerging requirements. Product Planning and Definition: Collaborate with stakeholders to define product requirements, features, and specifications based on customer feedback, product vision, and business goals. Agile Product Development: Work closely with portfolio and engineering teams in an agile environment to ensure successful and timely delivery of product releases, including prioritization, sprint planning, and backlog management. Cross-Functional Collaboration: Collaborate with DevOps & Infrastructure, data engineering, computing platform engineering, data & knowledge platform engineering, program management teams to align product strategies, gather input, and drive successful implementation plans. Product Launch and Adoption: Lead product launches, ensuring effective communication, training, and support materials to drive successful product adoption and customer satisfaction. Product Performance and Optimization: Continuously monitor product performance, collect and analyze data, and drive iterative improvements to enhance product usability, performance, and customer experience. Stakeholder Management: Engage with key stakeholders, including senior Technology leadership, to provide updates on product performance, roadmap, and future plans. Industry Thought Leadership: Stay abreast of industry trends, best practices, and emerging technologies in the DevOps and Infrastructure space. Share insights and act as a thought leader within the organization and industry events. Manage vendor relationships and contracting; delegate these duties where it is advantageous to do so. Design innovative strategy beyond the current enterprise way of working to create a better environment for the end users, and able to construct a coordinated, stepwise plan to bring others along with the change curve. Standard bearer for proper ways of working and engineering discipline, including the QMS framework and CI/CD best practices and proactively spearhead improvement within their engineering area. Serve as a technical thought leader and champion: e.g., speak at industry events, promote GSK as an attractive place to build a career and thrive as a data platform engineer, act as a key knowledge holder for the Onyx organization. Why you? Basic Qualifications: We are looking for professionals with these required skills to achieve our goals: Bachelors degree in Computer Science, Software Engineering, or related discipline and relevant work experience. Experience with DevOps and/or cloud infrastructure product development or management. Experience with software engineering ways of working and engagement model. Experience working in an agile product development environment. Experience in product management, with a focus on DevOps and Infrastructure products. Preferred Qualifications: If you have the following characteristics, it would be a plus: Strong understanding of modern infrastructure and site reliability engineering practice, including Infrastructure-as-code tools (e.g. Terraform, Ansible ) and metrics and observability tools (e.g. Prometheus, Grafana ). Strong understanding of modern DevOps practice, including DevOps stacks (e.g. Jenkins, GitLab, CircleCI ). Cloud experience (e.g. AWS, Google Cloud, Azure, Kubernetes). Familiar with software engineering ways of working and engagement model. Strong proficiency in utilizing various product management tools, including Jira and Confluence. Proven track record of successfully launching and managing high-stake, business-critical engineering products spanning multiple geographies and time zones. Strong analytical and problem-solving skills, with the ability to make data-driven decisions. Excellent communication, collaboration, and stakeholder management skills. Strong leadership abilities and a self-driven, proactive approach. Ability to thrive in a fast-paced, dynamic environment and manage multiple priorities effectively.

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.

Reports to: Senior Data Analyst Location: London - Heathrow Contract Type: Permanent Introduction to role Vanderlande is the global market leader in baggage handling systems for airports, and sorting systems for parcel and postal services. Working for the business based at Heathrow, we are seeking a proactive and detail-oriented Junior Data Engineer to join our dynamic Data & Analytics team. Role Responsibilities In this role, you will support the development and optimization of data pipelines, ensuring the smooth and reliable flow of information across our systems. The ideal candidate is passionate about data, eager to learn, and committed to maintaining the highest standards of data quality and integrity. Your responsibilities and activities will include: Assist in the design, development, and maintenance of data pipelines and ETL processes Collaborate with data scientists, analysts, and other stakeholders to ensure accurate data collection and delivery Monitor and troubleshoot data systems, addressing issues promptly to minimise downtime Support the implementation of data quality and data governance best practices Participate in code reviews and contribute to the continuous improvement of our data infrastructure Document processes, configurations, and data flows to facilitate knowledge sharing across the team Role Qualification and Skills Bachelors degree in Computer Science, Information Technology, Mathematics, or a related discipline Basic understanding of SQL and relational databases Familiarity with at least one programming language (e.g. Python, Java, or Scala) Knowledge of data warehousing concepts and ETL processes Strong analytical skills and attention to detail Ability to work collaboratively in a fast-paced, team-oriented environment Excellent verbal and written communication skills in English What we offer 28 days annual leave (excluding public holidays) Bupa Medical Cover YuLife - Wellbeing membership with fast access to GP appointments, promotion of health and wellbeing along with daily quests to gain Yucoins that can be swapped for shopping vouchers A challenging work environment with lots of opportunities for career progression. Cycle to work scheme Pension with Aviva Access to Achievers, an award-winning recognition platform that inspires recognition of your coworkers, where points can be exchanged for a range of goods and discounts. Diversity & Inclusion Vanderlande is an equal opportunity/affirmative action employer. Qualified applicants will be considered without regard to race, religion, color, national origin, gender, sexual orientation, age, marital status, or disability status. If you feel there is a barrier that potentially prevents you from applying, we are always happy to discuss or explore any reasonable adjustments that can be made to support your application.

Requisition ID: R Category: Research and Sciences Location: Cheltenham, Gloucestershire, United Kingdom London, London, United Kingdom Clearance Type: Baseline Personnel Security Standard (BPSS) Telecommute: Yes-May consider hybrid teleworking for this position Travel Required: Yes, 10% of the Time Positions Available: 1 Salary: £64,600. 00 - £96,800 Define Possible at Northrop Grumman UK At Northrop Grumman UK, our mission is to solve the most complex challenges by shaping the technology and solutions of tomorrow. We call it Defining Possible. This mind-set goes beyond our customer solutions; it's the foundation for your career development and the impact we have within the community. So, what's your possible? Opportunity: This is more than just a job; it's a mission. The role is for an experienced data scientist who is recognized both internally and by customers as a subject matter expert - with a track record of applying data science and machine learning to deliver measurable benefit for our customers' missions - and go-to person in at least one area of data science and machine learning, demonstrating clear technical leadership and the ability to influence. Responsibilities: Plan and execute complex data science requirements across a portfolio of projects, including identification of risks, dependencies and mitigation strategies. Provide technical leadership for multiple teams of data scientists, ensuring projects are delivered on schedule and to quality. Act as a formal customer point of contact and maintain strong, influential relationships with key senior stakeholders. Broker new relationships within the customer organisation and provide added value through deduplication of effort and access to unique expertise. Contribute subject matter expertise into bids, proposals and studies, using customer knowledge to ensure proposals meet their needs. We are looking for: We are particularly interested in candidates with experience in ONE of the following: Neuromorphic Computing, Spiking Neural Networks and event-based event monitoring/sparse data. Advanced statistics and experience operationalising academic research. Security clearance: You must be able to gain and maintain the relevant UK Government security clearance in line with the job role (SC). Why join us? A mission to believe in - Every day we contribute to building a more secure and connected world. A place to belong and thrive - Every voice matters at our table. Your career, your way - Shape your career journey with diverse roles and mentorship opportunities. Ready to apply? Yes - Submit your application online. Your application will be reviewed by our team and we will be in touch. Possibly, I'd like to find out more about this role - Reach out to our team for more information and support. No, I don't think this role is right for me - Our extensive UK growth means we have exciting, new opportunities opening all the time. Northrop Grumman is committed to hiring and retaining a diverse workforce, and encourages individuals from all backgrounds and all abilities to apply and consider becoming a part of our diverse and inclusive workforce.

At Anaplan, we are a team of innovators who are focused on optimizing business decision-making through our leading scenario planning and analysis platform so our customers can outpace their competition and the market. What unites Anaplanners across teams and geographies is our collective commitment to our customers' success and to our Winning Culture. Our customers rank among the who's who in the Fortune 50. Coca-Cola, LinkedIn, Adobe, LVMH and Bayer are just a few of the 2,400+ global companies that rely on our best-in-class platform. Our Winning Culture is the engine that drives our teams of innovators. We champion diversity of thought and ideas, we behave like leaders regardless of title, we are committed to achieving ambitious goals and we have fun celebrating our wins. Supported by operating principles of being strategy-led, values-based and disciplined in execution, you'll be inspired, connected, developed and rewarded here. Everything that makes you unique is welcome; join us and be your best self! Anaplan is looking for a tenacious Senior Data Scientist to join our PlanIQ. This is a stellar opportunity to get involved in a highly visible, large scale SaaS cloud company. This role is an immediate full-time position. If you're ready to roll up your sleeves and tackle unique problems that no one else is solving, keep reading. Insight on your impact Our PlanIQ Group is responsible for the majority of time-based forecasting algorithmic core of Anaplan's platform. We create AI-based solutions available to Anaplan's non-data scientist customers by developing engines that connect to customer data (without too many configurations or manual pre-process steps) and provide forecasts, predictions, and relevant insights. Our ownership ranges from innovative idea inception through POC to its implementation within customer-facing products. Development includes working with cutting-edge machine learning, deep learning and data manipulation techniques, data analysis and coding a wide variety of features to deal with different data types and meet customer needs. Among our current challenges are building time series forecast engines, predictive models, enhancing user experience using AI/ML, big data text mining/analysis as well as statistical challenges and maintaining high algorithm performance and accuracy. We are looking for a talented and highly motivated Senior Data Scientist to join our team. You will work on one of the top focus projects in the company, influencing the direction of research and development of the entire project. Be an integral part of the PlanIQ Team. This includes research, new ideas, POCs and writing code to production at scale. Work together with the other team's data scientists, ML engineers, backend, and frontend developers. Your day will have a mixture of all domains: data pre-processing and post-processing, machine learning, deep learning, time-series algorithms, explainability methods and more, using Python packages (including Scikit-Learn, Pandas, NumPy, NLTK, etc.). Preferred skills and technical familiarity At least 4 years of proven experience in Data Science. Sc./M.Sc. from a leading university, or equivalent experience. Applied experience in Time-Series Forecasting including in a production environment. Theoretical knowledge in other data science domains - Machine Learning (decision trees, linear regression, clustering and more), Deep Learning, statistics, etc. Developing and design capabilities (Python), understanding of object-oriented programming. Experience with machine learning-based solutions in production is an advantage. Experience with SQL and databases is an advantage. Our Commitment to Diversity, Equity, Inclusion and Belonging Build your career in a place that thrives on diversity, equity, inclusion, and belonging. We believe in a hiring and working environment where all people are respected and valued, regardless of gender identity or expression, sexual orientation, religion, ethnicity, age, neurodiversity, disability status, citizenship, or any other aspect which makes people unique. We hire you for who you are, and we want you to bring your authentic self to work every day! We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive equitable benefits and all privileges of employment. Please contact us to request accommodation.

Job Overview We are iCIMS AI, an agile team of product people, data scientists, and software engineers, who created a collaborative environment centered around passion for people and their careers, as well as data science, high-performance software, and user experiences. Our culture feeds from innovation, engineering excellence and owning the outcomes for our stakeholders. As a Senior Data Scientist, you will play a crucial role in AI engineering for the iCIMS Talent Cloud. You will assist with building Natural Language Processing (NLP) models and statistical analysis using emerging components and technologies. If you have experience in the HR domain and/or emerging Agentic technologies that is a plus. For this role you must have demonstrated machine learning experience and strong software skills coupled with a sound theoretical base in model training and optimization. If you have deeper experience or a stronger academic background, please apply as we may have some flexibility. Hybrid/remote work in Ireland, focused near Dublin. The team meets weekly in the iCIMS office at Dogpatch Labs. About Us When you join iCIMS, you join the team helping global companies transform business and the world through the power of talent. Our customers do amazing things: design rocket ships, create vaccines, deliver consumer goods globally, overnight, with a smile. As the Talent Cloud company, we empower these organizations to attract, engage, hire, and advance the right talent. We're passionate about helping companies build a diverse, winning workforce and about building our home team. We're dedicated to fostering an inclusive, purpose-driven, and innovative work environment where everyone belongs. Responsibilities Build, train and deploy advanced/complex AI/ML natural language models and agents independently. Evaluate advanced/complex AI/ML models and agents qualitatively and quantitatively using automated and statistical tools. Build repeatable extract, clean, and transform pipelines and frameworks. Define user stories and organize tasks for a full AI feature or business problem. Code API interfaces to AI orchestrations and integrate them into production pipelines. Define and adapt practices for reproducible, testable, ethical, efficient, and production-ready AI. Lead individual initiatives that require multiple stakeholder input. Ensure all work meets responsible AI practices. Knowledge share with peers and stay current with changes in core practices, frameworks, and tools. Investigate and resolve reported issues. Qualifications Bachelor's degree in Data Science, Computer Science, Statistics, or a related field OR equivalent learning and experience. 4+ years experience implementing AI/ML products or advanced degrees. Experience with one or more of the following: Natural Language processing, deep learning, generative AI, and/or Agentic AI. Expert with Python and data science frameworks. Excellent problem-solving and analytical skills. Excellent communication and interpersonal skills. Articulates thoughts and ideas clearly, concisely, and persuasively. EEO Statement iCIMS is a place where everyone belongs. We celebrate diversity and are committed to creating an inclusive environment for all employees. Our approach helps us to build a winning team that represents a variety of backgrounds, perspectives, and abilities. So, regardless of how your diversity expresses itself, you can find a home here at iCIMS. We are proud to be an equal opportunity and affirmative action employer. We prohibit discrimination and harassment of any kind based on race, color, religion, national origin, sex (including pregnancy), sexual orientation, gender identity, gender expression, age, veteran status, genetic information, disability, or other applicable legally protected characteristics. If you would like to request an accommodation due to a disability, please contact us at . Compensation and Benefits iCIMS offers a comprehensive benefits package: medical, vision, and dental, life insurance, pensions, tuition reimbursement, lifestyle spending accounts, and generous paid time off plans (vacation, sick, parental leave). Learn more here: