Analyst 2 Jobs

ABOUT PROPRIETARY RESEARCH On our proprietary research team—Market Intelligence—you’ll partner with our Investment Professionals and Compliance team to uncover insights about companies, industries, and the broader economy through deep fundamental research. Canvas is the supply chain research group within Market Intelligence. Canvas conducts compliant supply chain research by developing deep industry expertise, talking with private company executives, and synthesizing information for portfolio managers and analysts. Our team produces impactful research that will change the way you look at the world. WHAT YOU'LL DO This 6-month intensive fellowship offers hands-on experience in research, business analysis, cross-functional collaboration, and the investment process within a fast-paced, compliance-focused environment. Canvas Fellows will be considered for permanent placement on the team following completion of the program. When you join the Canvas team, you’re signing up for the learning experience of a lifetime. You will never look at anything the same way—from grocery stores to tires to semiconductors. Every day, Canvas team members speak with private company executives and learn about the businesses they’ve spent their lives building. The team synthesizes findings in comprehensive reports that are consumed by Point72 investment professionals. Other Market Intelligence divisions do quantitative research to explain what is going on in an industry. As a Fundamental Researcher, your qualitative research will explain the why. During the 6-month program based in our New York office, you will: Become a subject matter expert on an assigned industry Engage with small, medium, and large private company executives about their businesses and the industries in which they operate, gathering qualitative data on key development—including structural shifts, real-time changes in supply/demand dynamics, and emerging competitors, markets, and technologies—with a focus

Artefact is a new generation of data service providers, specialising in data consulting and data-driven digital marketing. It is dedicated to transforming data into business impact across the entire value chain of organisations. We are proud to say we’re enjoying skyrocketing growth. The backbone of our consulting missions, today our Data consulting team has more than 400 consultants covering all Artefact's offers (and more): data marketing, data governance, strategy consulting, product owner… What will you be doing? Securing delivery on your projects Communicating your work and achievements among the team Working closely with your Consulting counterpart to build and maintain strong relationships with your clients and best understand their needs Ensuring that your solutions are bringing values to the client problematic Being a good team player, knowing your role and responsibility in the global ambition Key Responsibilities: Data Quality Analysis & Remediation: Collect, extract, and clean data from various sources to prepare comprehensive datasets for analysis This includes handling missing data, removing inconsistencies, and ensuring the data is structured correctly for further analysis. Analyze data using appropriate statistical techniques and tools to uncover trends, patterns, and anomalies in the information. This could involve anything from simple descriptive analysis to more complex exploratory data analysis Validate and cross-check analysis results to ensure accuracy. This involves verifying calculations, comparing findings against external or historical data for consistency, and investigating any irregularities in the results. Data Analysts are expected to be vigilant about data quality during analysis, catching any issues that might have passed initial data processing. Create clear, concise reports and visualizations to communicate findings. While the focus is on analysis rather than just creating dashboards, analysts will use tools like Pow

About the Role We are seeking an experienced Senior Data Engineer to join our growing Data & Analytics team. This role will be responsible for designing, developing and maintaining scalable data pipelines and infrastructure to support our organization’s data needs. Specific Responsibilities: Design, develop, and maintain robust data pipelines and infrastructure to support data integration, processing, and storage Collaborate with analysts and other stakeholders to understand data requirements and translate them into technical solutions Implement best practices for data governance, security, and quality assurance to ensure the reliability and accuracy of data Explore and evaluate new technologies and tools to enhance our data infrastructure and capabilities Design and implement complex data models on Azure Synapse Analytics to support data warehousing Utilize Azure DevOps for continuous integration, continuous delivery, and agile project management. Manage and optimize Apache Spark pools for high-performance data processing tasks. Develop and maintain ETL processes and data pipelines using Python scripting. Ensure data quality and integrity across all platforms and systems. Collaborate with cross-functional teams to translate business needs into technical specifications. Stay current with industry trends and advancements in Azure data services. What you'll need: Bachelor’s degree in Computer Science, Engineering, or related field Minimum of 5+ years experience in data engineering roles, with a strong focus on building and maintaining data pipelines and infrastructure Strong proficiency in Azure Synapse Analytics, Azure DevOps, and Apache Spark pools. Expertise in Python scripting and other programming languages such as SQL and Java Senior level knowledge of data modeling, processes, and data warehouse concepts Strong communication skills and ability to effectively communicate technical concepts to non-technical stakeholder

MongoDB is growing its team in Sydney, focusing on building intelligent tools that help customers understand and modernise their application codebases. The Application Modernisation Platform (AMP) guides customers through the entire journey of modernising their applications — from legacy relational platforms to modern, scalable systems built on MongoDB. The App Analysis & Modelling team owns the critical first stage of this journey: building the context that powers everything downstream. The team builds code analysis tools that construct code dependency graphs and generate deep insights for codebases, giving customers a clear understanding of their existing applications before transformation begins. The team also designs schema recommendation engines that analyse signals such as existing relational schemas and query patterns to inform data modelling decisions. Our work sits at the intersection of analysis, data modelling, and AI — helping developers make confident, data-driven decisions as they transition to MongoDB. We are looking for a Senior Software Engineer who is passionate about building scalable backend systems and applications. As we expand our use of AI to power smarter analysis and recommendations, the ideal candidate will bring strong backend engineering fundamentals with the ability to contribute across the full stack. You will collaborate closely with product management and other engineering teams to design and deliver cutting-edge features that guide customers through complex modernisation journeys. We are looking to speak to candidates who are based in Sydney for our hybrid working model. The ideal candidate will have 5+ years of commercial software development experience with strong proficiency in Python and/or Java Extensive Experience designing and building scalable, high-performance APIs and backend services Solid understanding of relational data modelling and SQL (Oracle, PostgreSQL, MySQL, or similar), including schema design and query opti

About Ubiquiti At Ubiquiti Inc., we create technology platforms for Businesses, Smart Homes, and Internet Service Providers, driven by our goal to connect everyone, everywhere. To date, Ubiquiti has shipped over 100 million devices worldwide, from ISP networking products to next generation of IT solutions. Our growth is made possible by the dedicated team of hundreds behind the scenes. From software developers and product managers to designers and strategists, Team UI is driven to achieve our common goal: Rethinking IT. At Ubiquiti, you’ll heighten your potential and broaden your horizons - all while shaping the future of connectivity. Responsibilities: Plan and lead manual testing initiatives to ensure software releases meet or exceed requirements; Analyse project documentation, release notes and other project artifacts to identify new or update existing test scenarios; Perform different manual testing - functional regression, smoke, stress etc.; Conduct ad-hoc and scripted manual tests; Report bugs/errors to development teams and help troubleshoot issues. Requirements: 3+ years of experience testing modern Web and Mobile Applications; Experience with TestRail/Zephyr/Test Suite creation, or others; Experience with Jira and Confluence; General understanding in Network (Internet, WiFi, VLAN, Firewall, VPN etc.); Experience with AI tools - Claude, Codex, etc. Fluent in English and Latvian. Nice to have: Experience with JavaScript; Bash scripting; Experience with Postman or SoapUI; Experience with hardware devices. Benefits: International work environment and work with global development teams; Ability to deliver software that is used by millions of people across the globe; Opportunity to leverage and integrate modern AI tools into product development; Access to all Ubiquiti products; Medical insurance; Hybrid approach - office in Riga; Flexible work hours; Compensation package matching global standards, including competitive salary depending on your qualifi

Pharmacy Production Manager – Band 7 Location: Hull Training Hospital Start Date: ASAP Duration: Ongoing Hourly Rate: £30–£31 per hour Working Hours: Full‑time (Mon–Fri) Job Overview We are seeking an experienced Pharmacy Production Manager (Band 7) to join the team at Hull Training Hospital. You will play a key role within the MIRC department, working closely with Quality Control and Production Managers to ensure the safe, compliant and efficient production of radiopharmaceuticals and blood cell labelling. This position would suit a registered Pharmacist or a healthcare scientist/technical professional with suitable experience in radiopharmacy, production, QC, or related technical disciplines. Key Responsibilities Assist in the safe production of radiopharmaceuticals and blood cell labelling. Carry out QC activities on complex scientific equipment and manufactured products. Operate and support processes involving cyclotron equipment and hot cells. Analyse QC results, take appropriate corrective action and document findings. Participate in the manufacturing and dispensing of specialist radiopharmacy products. Supervise, train and assess competencies of staff across multiple disciplines. Maintain high standards of safety, accuracy and regulatory compliance. Work autonomously in an environment involving direct contact with radioactive materials and blood. Qualifications & Experience Qualified Pharmacist or Healthcare Technical/Scientific professional with relevant radiopharmacy or GMP production experience. Strong background in QC, production processes or specialist technical duties. Experience with radiopharmaceuticals, aseptic manufacturing, or cyclotron operations is highly desirable. Ability to supervise and train others effectively. High level of responsibility, accuracy and professional autonomy. Why Choose Pulse Competitive hourly pay Dedicated consultant support Quick and smooth onboarding process Opportunities for continued professional development How to

Avec une stratégie de croissance, le groupe Capco renforce le développement de son pôle FRC (Finance, Risques & Conformité) et tout particulièrement son offre Conformité. Dans ce cadre, nous recherchons pour notre bureau parisien des Senior consultant(e)s, managers ou senior manager afin d’accompagner ses clients sur leurs enjeux de transformation réglementaire et organisationnelle liés à la conformité. Votre rôle : Vous participez, pour nos clients du secteur bancaire et financier, à des missions variées qui couvrent plusieurs thématiques : Réaliser des diagnostics de dispositifs LCB-FT (KYC, AML framework, transaction monitoring, filtrage sanctions). Participer à des programmes de remédiation KYC / AML, revues d’efficacité et optimisation des dispositifs existants Contribuer aux programmes AMLR : analyse d’impact réglementaire, déclinaison opérationnelle, gouvernance et trajectoires de mise en conformité Participer à la mise en conformité réglementaire : exigences ACPR, FATF, réglementations locales et européennes (AMLR, eIDAS, DORA, …) Participer à des missions impliquant des outils de sécurité financière (transaction monitoring, sanctions, KYC / CDD), avec une connaissance générale du fonctionnement de solutions du marché (ex. Actimize, NetReveal, Fenergo ou équivalents) Contribuer à la définition ou l’évolution des Target Operating Models conformité (processus, gouvernance, outils, data) Rédiger des politiques, procédures, méthodologies et supports de formation Conduire des évaluations de risques, cartographies, analyses de contrôles et plans de mitigation. Contribuer à l’amélioration des frameworks de gestion des risques : gouvernance, KPI/KRI, reporting. Participer à la conception ou à l’évolution de dispositifs de contrôle interne. Garantir la qualité et la robustesse des livrables produits Préparer et animer des ateliers, comités et restitutions. Au sein de Capco : Participer à l’animation de la communauté Conformité (veille réglementaire, sup

Scale is at the forefront of the AI revolution, working with some of the largest companies in the world to unlock the potential of Generative AI for their business. We develop bespoke solutions that leverage our customer’s proprietary data and expertise to transform their businesses with AI. We work with them to understand the biggest levers for their business and then forward deploy with their teams to build cutting edge solutions. The applications we build are powered by the Scale GenAI Platform, a full stack product to build, test and deploy cutting edge agents. Some examples of GenAI applications we build are: Content-generation systems that enable sales teams to be more effective and efficient. Highly customized wealth management copilots that make advisors more effective by helping them tap into their knowledge bases quickly and accurately. Text2SQL business intelligence applications to make analysts more efficient and embed a culture of data-driven decision-making. We are seeking an experienced product manager to join our team and play a pivotal role in building AI solutions with and for our customers. The ideal candidate will have a strong understanding of software engineering principles and practices and deep experience with ML/AI application development. You will be responsible for owning large AI projects for one or many customers. You will: Develop enterprise grade solutions that leverage cutting edge AI to drive business value at world class companies across many industries. Work with executives at Scale and our customers to determine and execute the product strategy of the business. Own end-to-end product development by understanding customer pain points, defining product requirements, managing development, testing, and launches. Lead cross-functional teams including engineering, product design, operations, marketing, go-to-market and finance. Develop a point of view and execute on turning the solutions we build into repeatable softwa

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Data Science is at the heart of Lyft’s products and decision-making. Data Scientists at Lyft operate in dynamic environments, moving quickly to build the world’s best transportation solutions. We tackle a wide range of challenges—from shaping long-term business strategy with data, to making critical short-term decisions, to developing algorithms and models that power both internal systems and customer-facing products. We are looking for an experienced and highly motivated Data Scientist to join the Central Market Management team and lead key initiatives that enhance the quality of our overall decision-making. You’ll work cross functionally with other Data Scientists, Data Analysts, Product Managers, and Finance partners to make sure we are making the most financially efficient decisions to scale our business. You will identify gaps in our operational processes and measurements, and work to create strategies, frameworks, and models to help address them and deliver impact. Responsibilities Leverage data and analytical frameworks to identify opportunities for improving operational efficiency Define and implement decision frameworks, measurement strategies, and scientific methodologies that bring consistency and rigor to business decisions and forecasts, balancing opportunity and uncertainty Deliver integrated, high-quality analytical outputs spanning multiple projects while navigating ambiguity, cross-team dependencies, and open-ended scope Define and implement a robust attribution framework to evaluate the performance of high-stakes decisions Act as a technical lead, guiding other Data Scientists and fostering a culture of analytical excellence Write efficient, clean, production-level code (Python, SQL), ensuring reproducibility, documentation, and long-term maintainability of analytical assets B

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Data Science is at the heart of Lyft’s products and decision-making. Data Scientists at Lyft operate in dynamic environments, moving quickly to build the world’s best transportation solutions. We tackle a wide range of challenges—from shaping long-term business strategy with data, to making critical short-term decisions, to developing algorithms and models that power both internal systems and customer-facing products. We are looking for an experienced and highly motivated Data Scientist to join the Central Market Management team and lead key initiatives that enhance the quality of our overall decision-making. You’ll work cross functionally with other Data Scientists, Data Analysts, Product Managers, and Finance partners to make sure we are making the most financially efficient decisions to scale our business. You will identify gaps in our operational processes and measurements, and work to create strategies, frameworks, and models to help address them and deliver impact. Responsibilities Leverage data and analytical frameworks to identify opportunities for improving operational efficiency Define and implement decision frameworks, measurement strategies, and scientific methodologies that bring consistency and rigor to business decisions and forecasts, balancing opportunity and uncertainty Deliver integrated, high-quality analytical outputs spanning multiple projects while navigating ambiguity, cross-team dependencies, and open-ended scope Define and implement a robust attribution framework to evaluate the performance of high-stakes decisions Act as a technical lead, guiding other Data Scientists and fostering a culture of analytical excellence Write efficient, clean, production-level code (Python, SQL), ensuring reproducibility, documentation, and long-term maintainability of analytical assets B

Job Title: Biomedical Scientist in Microbiology Banding: Band 6 Location: Wexham Park Hospital - Wexham St, Slough SL2 4HL Start Date: ASAP Duration: Ongoing Working Pattern: Core hours only Hourly Rate: £25 - £27 We are currently seeking a Band 6 Biomedical Scientist specialising in Microbiology to join our client’s team in Wexham Park Hospital. This is a full-time, ongoing position working core hours only, offering a competitive hourly rate and the opportunity to contribute to a busy and well-established laboratory service. Key Responsibilities You will perform culture, identification, and sensitivity testing of clinical specimens. You will detect bacterial infections using manual and automated techniques. Qualifications and Experience - At least 3 years’ experience in a Microbiology lab. - Microbiology lab automation experience on instruments ( Kiestra, Urimast, Maldi, Iris, Bactec, Entericbio). - Able to analyse results and to report them - Specialist portfolio or experience Band 6 Why Work with Pulse? From the moment you register with Pulse, our focus is entirely on you. Our experienced recruitment consultants understand your specialty and are committed to finding roles that align with your skills and preferences. As a preferred or sole supplier to many clients, we offer exclusive opportunities not available elsewhere. We prioritise your professional goals, listen to your needs, and treat you as a valued individual—not just a resource. How to Apply If you are interested in registering with us, learning more about this position, or exploring other opportunities, we would love to hear from you. Please apply using the link below. Reasonable Adjustments If you have a disability or require any reasonable adjustments during the recruitment process or in the workplace, please let us know as early as possible. We are committed to providing the necessary support throughout your application and placement. We are unable to support or accept applications from c

About the Team The Intelligence & Investigations team helps OpenAI understand and respond to the risks that can accompany increasingly capable AI. Our work has two central responsibilities: investigating potential high-severity misuse or harm involving our models, and monitoring and characterizing risks to OpenAI, our users, and the broader world. We bring together analysts, investigators, engineers, and other subject matter experts to turn complex signals into a clearer picture of what matters and support informed action. About the Role As an engineer on Intelligence & Investigations Engineering, you will build the systems that support both sides of this mission: giving OpenAI’s leadership superhuman situational awareness of important risks and developments, and accelerating expert investigators and analysts as they assess potential high-severity misuse or harm. You will design, prototype, ship, and maintain end-to-end products that use OpenAI’s models and infrastructure to make sense of large, complex information environments. These systems will surface meaningful signals, synthesize important developments, and help people make well-informed decisions when the stakes are high. You will work directly with analysts, investigators, and other subject matter experts to understand their needs and build products that make their work faster, more effective, and more scalable. Your engineering work will be central to how the team investigates potential misuse, develops situational awareness, and informs decisions. We’re looking for engineers who combine strong technical and analytical skills with product judgment and the ability to move between rapid prototyping and reliable production systems. You should be comfortable working with ambiguous problems, complex data, and evolving AI capabilities—and excited to build tools that expand what human experts can understand and accomplish. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the

ABOUT THE PYTHON DATA ENGINEER ROLE: We are looking for a skilled Python Data Engineer to join our team and work on building high-performance applications and scalable data solutions. In this role, you will be responsible for designing, developing, and maintaining robust Python-based applications, optimizing data pipelines, and integrating various APIs and databases. This is more than just a coding role—it requires strategic thinking, creativity, and a passion for data-driven decision-making to drive results and innovation. KEY RESPONSIBILITIES: Develop, test, and maintain efficient Python applications. Write optimized SQL queries and work with relational databases to manage and analyse large datasets. Implement and integrate APIs, web scraping techniques, and database queries to extract data from various sources. Design, develop, and maintain ETL pipelines for efficient data extraction, transformation, and loading. Collaborate with cross-functional teams to understand technical requirements and deliver high-quality solutions. Ensure code quality, performance, and scalability through best practices and code reviews. Stay updated with the latest advancements in Python, data engineering, and backend development. REQUIRED QUALIFICATIONS: 3–5+ years of expertise in Python is a must have. Proficiency in Python frameworks and libraries such as Pandas, NumPy, and Scrapy. Experience with Data Visualization tools such as Power BI, Tableau Strong understanding of relational databases and SQL. Experience working with cloud platforms such as AWS Strong problem-solving skills and the ability to work in a collaborative team environment. Bachelor / Master degree in Computer Science, Engineering, or a related field. WHY JOIN US? Highly inclusive and collaborative culture built on mutual respect. Focus on core values, initiative, leadership, and adaptability. Strong emphasis on personal and professional development. Flexibility to work remotely

About us: Artefact is a global services company that sits at the intersection of consulting, data science, AI technologies and marketing. Our 1700+ people break Business and Tech silos and transform organizations into consumer-centric leaders using digital, data and AI. Key Responsibilities: Data Quality Analysis & Remediation: Collect, extract, and clean data from various sources to prepare comprehensive datasets for analysis This includes handling missing data, removing inconsistencies, and ensuring the data is structured correctly for further analysis. Analyze data using appropriate statistical techniques and tools to uncover trends, patterns, and anomalies in the information. This could involve anything from simple descriptive analysis to more complex exploratory data analysis Validate and cross-check analysis results to ensure accuracy. This involves verifying calculations, comparing findings against external or historical data for consistency, and investigating any irregularities in the results. Data Analysts are expected to be vigilant about data quality during analysis, catching any issues that might have passed initial data processing. Create clear, concise reports and visualizations to communicate findings. While the focus is on analysis rather than just creating dashboards, analysts will use tools like Power BI to illustrate key insights. They should present data in an understandable way for internal stakeholders, writing summaries that interpret the numbers and highlight important conclusions. Work closely with statisticians and other team members to interpret results and refine analysis approaches. This collaborative approach ensures that the analysis aligns with methodological standards and project goals. Analysts may adjust their methods based on feedback, contribute to discussions on what the data means, and help integrate their findings into broader census reports. Key Qualifications: Bachelor’s degree in a quantitative field such as Stati

Opportunity Overview: We are seeking a Technical, Hands-on Manager to lead a team in building AI-driven healthcare enterprise applications . In this role, you will combine strong people leadership with deep technical expertise to guide the development of scalable, data-intensive solutions that drive meaningful business impact. As a leader who is still technically involved , you will mentor and manage data scientists and analysts while having the ability to guide the team through evaluating, selecting, and implementing the right models , paired with an understanding of end to end workflow and ensure the delivery of scalable AI solutions . This position requires excellent communication and collaboration skills as you partner closely with internal stakeholders and cross‑functional engineering, product, and clinical teams . In our fast-paced environment, adaptability is key—your ability to reprioritize quickly and lead your team through evolving business needs will ensure maximum impact What you’ll do: Lead, mentor, and develop a high‑performing team of Data Scientists and ML Engineers, ensuring strong execution and continuous skill advancement. Contribute to event‑driven architecture design and implementation, enabling asynchronous processing and large‑scale system integration. Work seamlessly across functions—partnering with Data Scientists on model tuning, experimentation, and prompt design; collaborating with Product and Software Engineering to embed AI/ML into user-facing applications; engaging with DevOps/Platform Engineering on environment setup, CI/CD, monitoring, and reliability; and working with Data Engineering on pipeline design and ingestion strategies. Provide technical leadership in the effective use of AWS services such as Lambda, EC2, EMR, S3, Athena, Batch, Textract, Comprehend, Bedrock. Drive the implementation of project scope definition, effort estimation, and planning in close coordination with cross-functional teams. Conduct code reviews, pr