and anonymised community platform have been trusted for years by millions to help them feel more in control of their health every day. We're harnessing the power of dataanalytics and AI to build a smarter future, one where we all know our bodies better, with an aim to become the essential health partner to women worldwide. … Experience Must have: 5+ years in digital marketing/user acquisition; 3+ years in managing a performance marketing team; Expert understanding of the mobile user acquisition, marketing landscape, mobile analytics, and mobile attribution (including SKAN and Sandbox); Expertise in analytics and visualization software, e.g. Looker, Tableau and Excel; Strong analytical skills with the focus on data analysis … and recommendations; Expertise in Google Play and AppStore connect reports & analytics; Understanding privacy landscape: GDPR, CCPA, DMA etc; Experience successfully managing big marketing budgets across various digital and media channels; Excellent communication skills, including the ability to promote and negotiate new ideas. Nice to have: Experience in the Health & Fitness domain. What you'll be doing You'll be More ❯
Engineering, monitoring fraud trends, leading analysts, and coordinating with external partners to ensure effective case resolution. The Fraud Manager will also report on fraud metrics to leadership and utilize dataanalytics to enhance detection methods, protecting both the company and its customers. Day-to-day responsibilities. Develop, execute, and refine Zilch's fraud management framework and strategy. Monitor … and efficacy of fraud detection by BPO. Reporting & Analysis: Provide regular reports on fraud performance, trends, and incidents to senior leadership. Maintain dashboards for real-time KPI monitoring. Utilize dataanalytics to identify gaps and improve fraud detection rules. Monitor customer feedback to refine detection and response strategies, reducing impact on genuine customers. Ensure timely and accurate reporting … accounts to external agencies. Qualifications & Skills: Proven experience in fraud management, including working with BPOs or outsourced teams. Strong leadership and team management skills. Analytical mindset with expertise in data analysis, fraud modeling, and detection technologies. Proficiency in SQL and Python. Experience with KYC and AML regulatory requirements. Experience with fraud prevention tools such as CIFAS, Onfido, Experian, GBG. More ❯
The successful candidate will be responsible for tracking, analysing, and improving business processes, ensuring efficiency, compliance, and alignment with the company's strategic objectives. The role requires a proactive, data-driven, and analytical approach to drive performance improvement across various business functions. Key Responsibilities : Performance Monitoring & Analysis - Track and evaluate business metrics to identify improvement opportunities. KPI & Framework Development … Establish performance management frameworks, KPIs, and reporting mechanisms. Cross-Functional Collaboration - Work with finance, operations, and commercial teams to support data-driven decisions. Process Optimization - Conduct performance reviews and recommend operational efficiency improvements. Strategic Planning Support - Provide insights based on performance data and industry trends. Compliance & Risk Management - Ensure adherence to corporate policies and regulatory requirements. Business Growth … business operations, or related roles. Background in telecommunications, infrastructure, or technology sectors is highly desirable. Strong financial acumen with expertise in budgeting, forecasting, and financial analysis. Familiarity with KPIs, dataanalytics, and business intelligence tools. Experience in multinational and multicultural environments. Fluent in English; proficiency in French is a significant advantage. Hard & Soft Skills Advanced analytical and problem More ❯
We're now seeking a Consultant to join our Discovery and Data Insights team in London. In this role, you will provide technical expertise and consultative solutions in Digital Forensics, Incident Response, Cyber Security , and eDiscovery for our clients. Our clients include Law Firms, Fortune 500 multi-nationals, and Government/Law Enforcement . You will be expected to … be a technical lead on cases for our regional and international teams (DFIR/Legal Technologies/DataAnalytics) and work closely with our Cyber Response, Crisis Management, and Investigations divisions. Additionally, you will support business development through articles, presentations, and marketing campaigns. This role requires working at our London office at least three days a week (hybrid … with on-call rotations that may include weekends/evenings. Experience in digital forensics and incident response is essential. Responsibilities Provide forensic/incident response consultancy and expertise in data collection, investigation, analysis, and cybersecurity services. Support Investigation teams across regions. Deliver high-quality, timely, and efficient results to clients. Ensure work is defensible and meets evidential standards. Provide More ❯
clear and auditable documentation across requirements, testing, risks, and issues logs to support governance and compliance standards. Key Skills and Competencies Advanced analytical and problem-solving abilities with a data-driven approach. Strong understanding of APIs, system integrations, and data mapping. Proficiency in business process modelling (BPMN, UML, Value Stream Mapping, SIPOC) Ability to influence without authority using … logical reasoning, data, and facts. Strong understanding of SDLC and Agile methodologies. Advanced knowledge of tools like Jira, Confluence, and diagramming tools (e.g., Visio, Lucidchart, Miro, Figma); Strong ownership mindset with a bias toward action and accountability for product outcomes. Experience conducting user research, collecting feedback, and translating insights into actionable product decisions. Understanding of monetization models, customer journeys … to understand their perspectives, needs, processes, and constraints to facilitate effective and efficient business process changes Utilize skills and experience in the areas of structured problem solving, business analysis, dataanalytics, design thinking, lean process improvement and undertake process design and process re-engineering to support performance excellence in the organisation to identify strategic initiatives. Experience in Payments More ❯
clear and auditable documentation across requirements, testing, risks, and issues logs to support governance and compliance standards. Key Skills and Competencies Advanced analytical and problem-solving abilities with a data-driven approach. Strong understanding of APIs, system integrations, and data mapping. Proficiency in business process modelling (BPMN, UML, Value Stream Mapping, SIPOC) Ability to influence without authority using … logical reasoning, data, and facts. Strong understanding of SDLC and Agile methodologies. Advanced knowledge of tools like Jira, Confluence, and diagramming tools (e.g., Visio, Lucidchart, Miro, Figma); Strong ownership mindset with a bias toward action and accountability for product outcomes. Experience conducting user research, collecting feedback, and translating insights into actionable product decisions. Understanding of monetization models, customer journeys … to understand their perspectives, needs, processes, and constraints to facilitate effective and efficient business process changes Utilize skills and experience in the areas of structured problem solving, business analysis, dataanalytics, design thinking, lean process improvement and undertake process design and process re-engineering to support performance excellence in the organisation to identify strategic initiatives. Experience in Payments More ❯
transformation through architecture. You design and govern modern finance platforms-covering GL, AP/AR, Consolidation, Tax, Treasury, FP&A, Risk, and AI forecasting-ensuring compliance, cost optimization, and data-driven decision-making. Key Responsibilities Finance Systems Strategy (70%) Define target architectures for core finance functions (ERP, EPM, Treasury). Lead ERP/FinTech modernization (e.g., Cadency). Architect … compliance. Advise CFO on translating financial strategies (capital allocation, M&A) into technical roadmaps. Evaluate and integrate fintech vendors into the finance ecosystem. Cross-Domain Integration (20%) Design seamless data flows across Finance, HR, Supply Chain, and Commercial. Govern APIs and middleware for real-time financial data. Governance & Standards (10%) Enforce architecture principles (e.g., single source of truth, reconciliation … operating models and KPIs (EBITDA, NPV, DSO). Experience with AI/ML in finance (e.g., anomaly detection, predictive AR). Skills & Tools Deep knowledge of SaaS, PaaS, microservices, dataanalytics, and EA frameworks. Familiarity with IT governance, DevOps, agile methodologies, and financial modeling. Leadership, consulting, and communication skills. Characteristics Trusted advisor with strong influence skills. Innovative thinker More ❯
in areas such as strategy consulting, technology consulting, economics consulting, and deal value consulting. This programme provides the opportunity to work with clients across a variety of industries, developing data-driven strategies, driving digital transformation, and supporting clients with mergers and acquisitions. With exposure to projects that focus on digital transformation, business strategy, risk management, and deal value optimisation … Support strategic decision-making and advise clients on how to create value and drive growth within their businesses. Technology Consulting: Work with clients to implement cutting-edge technologies, including dataanalytics, cloud solutions, cybersecurity, and digital transformation projects. Assist organisations in optimising their technology infrastructures to enhance efficiency and innovation. Economics Consulting: Apply economic and financial analysis to … offers: Comprehensive study support, including paid study leave, exam fees, and access to learning resources. Structured training programmes that focus on developing core consulting skills such as project management, data analysis, and client engagement. Mentorship from experienced PwC professionals who will guide you through your learning journey and help you build a successful consulting career. Areas of Specialisation: The More ❯
will lead cross-functional engineering and product support teams engaged in continuous improvement initiatives to enhance processes around maintenance and reliability of these systems. You will analyze large-scale data from PLCs, sensors, controls equipment and maintenance records to identify improvement opportunities around preventative maintenance, system optimizations, reliability metrics, and overall equipment effectiveness. Utilizing this data, you will … lifecycle management to build scalable solutions that ensure optimal performance and availability of thousands of workcells across Amazon's global fulfillment center network. Key job responsibilities Primary responsibilities: - Utilize dataanalytics, root cause analysis, design of experiments and six sigma methods to improve reliability and availability of critical automation equipment and robotics & mechatronics systems. - - Develop and deliver impactful … data-driven analyses, based on equipment failure and downtime data to justify need for change and recommendations. - Lead Kaizen and process improvement events, including Failure Modes and Effects Analyses (FMEA) to reduce downtime, eliminate errors and defects, and optimize overall equipment performance. - Engage cross functional teams of maintenance technicians, engineers, product owners and leaders within RME to deliver More ❯
path. This is an opportunity to take a leading role in expanding RSM's capabilities in quantitative modelling solutions and being a part of our broader financial modelling and analytics community. You will play a key role in developing sophisticated statistical models and tools for clients across various sectors, often within a dynamic regulatory landscape. Additionally, this capability will … overlay and the derivation of Probability of Default, Exposure at Default and Loss Given Default results. And the evaluation and critique of ECL modelling methodologies, associated processes, controls and data sources. Managing and executing quantitative testing roles for large and complex audit, or other assurance engagements. Critically assessing appropriate model documentation against the requirements of accounting standards and industry … evidence of equivalent knowledge learned in a finance environment. Prior experience of ECL modelling and related impairment testing, including IFRS9, CECL methodology requirements. Further programming and software expertise in dataanalytics, presentation, application development skills (eg VBA, PowerBI, Alteryx, SQL etc). What we can offer you: We recognise that our people are our most important assets. That More ❯
operational efficiency, utilizing the latest in machine learning, natural language processing, and predictive analytics. 3. Technology Integration: Seamlessly integrate AI solutions with existing enterprise systems and platforms, ensuring robust dataanalytics capabilities and operational effectiveness. 4. Client Collaboration: Establish strong, consultative relationships with clients, understanding their unique challenges and opportunities to deliver tailored AI solutions. 5. Leadership & Talent … 10. Change Management: Lead change management efforts to ensure the successful adoption of AI technologies, addressing cultural and operational shifts required for transformation. Qualifications: - Advanced degree in Computer Science, Data Science, AI, or related field. - Minimum of 10 years' experience in AI and machine learning, with a focus on the Pharmaceutical and MedTech industries. - Proven track record in developing More ❯
a strong background in the following areas and the ability to flexibly apply and combine them on a daily basis: practical electronics test and measurement, experimental design, statistics and data analysis, analogue and mixed-signal circuit operation principles, and CMOS device physics and process. No background in quantum physics is required. Our Team Since 2021 our team has been … through full product test lifecycle: pre-silicon test planning; bring-up and optimisation; inter-die variability studies; and product support (where required) High-quality documentation of experimental design, measurement data, analysis, and conclusions at each step Develop efficient and automated measurement and analysis routines to provide rapid and standardised feedback on new ICdesigns, driving faster design iteration Characterise and … with bench-level electronic test equipment such as SMUs, VNAs, amplifiers, oscilloscopes, etc. Proficient in reading circuit schematics Strong intuition and methodical approach to circuit debugging Advanced programming and dataanalytics ability Knowledge of Python, C, or similar programming language Degree qualification in Electronic Engineering or Computer Engineering Strong analytical and problem-solving skills with a high-level More ❯
Mindset: Growth mindset with ability to work with a diverse and global team Technology Knowledge: Understanding of leading technologies platforms such as Salesforce, SAP, ServiceNow, and leading technologies in dataanalytics and AI. Project Management: Proficiency in project management methodologies and tools is crucial for overseeing the execution of digital initiatives, managing resources, and ensuring timely delivery. of … journey and developing creative solutions to overcome them. Risk Management: Strong risk management skills are essential for identifying and mitigating risks associated with digital transformation, such as cybersecurity threats, data privacy concerns, and regulatory compliance issues. Vendor Management: Proficiency in managing relationships with external vendors and partners, including contract negotiations, performance monitoring, and ensuring alignment with organizational goals, is More ❯
Mindset: Growth mindset with ability to work with a diverse and global team Technology Knowledge: Understanding of leading technologies platforms such as Salesforce, SAP, ServiceNow, and leading technologies in dataanalytics and AI. Project Management: Proficiency in project management methodologies and tools is crucial for overseeing the execution of digital initiatives, managing resources, and ensuring timely delivery. of … journey and developing creative solutions to overcome them. Risk Management: Strong risk management skills are essential for identifying and mitigating risks associated with digital transformation, such as cybersecurity threats, data privacy concerns, and regulatory compliance issues. Vendor Management: Proficiency in managing relationships with external vendors and partners, including contract negotiations, performance monitoring, and ensuring alignment with organizational goals, is More ❯
Mindset: Growth mindset with ability to work with a diverse and global team Technology Knowledge: Understanding of leading technologies platforms such as Salesforce, SAP, ServiceNow, and leading technologies in dataanalytics and AI. Project Management: Proficiency in project management methodologies and tools is crucial for overseeing the execution of digital initiatives, managing resources, and ensuring timely delivery. of … journey and developing creative solutions to overcome them. · Risk Management: Strong risk management skills are essential for identifying and mitigating risks associated with digital transformation, such as cybersecurity threats, data privacy concerns, and regulatory compliance issues. Vendor Management: Proficiency in managing relationships with external vendors and partners, including contract negotiations, performance monitoring, and ensuring alignment with organizational goals, is More ❯
minimize disruptions. Collaborate with vendors to negotiate contracts, manage relationships, and ensure service levels meet business expectations. Collaborate with cross-functional teams to design and implement solutions, leveraging technology, dataanalytics, and industry-specific methodologies. Share knowledge, best practices, and industry insights with the consulting team to foster a culture of continuous learning and professional development. Collaborate with More ❯
to make an impact, we are looking for you. Quantitative Research (QR) is an expert quantitative modelling group in J.P. Morgan, as well as a leader in financial engineering, dataanalytics, statistical modelling and portfolio management. As a global team, QR partners with traders, marketers and risk managers across all products and regions, contributes to sales and client More ❯
We are looking for a Business DataAnalytics Lead to guide a team in transforming raw data into powerful commercial insights, interpreting trends, and generating recommendations to guide strategic decisions. In this role, you will play a pivotal part in the delivery of our Architect 360 offering, supporting our continued success in the UK and our US … expansion plans. As the Business DataAnalytics Lead, you will work in the Retail Strategy team, reporting to the Chief Customer Officer. You will collaborate closely with other client-facing teams such as Customer Success, Marketing, and Sales , as well as the Product & Engineering team, to deliver commercially meaningful, data-driven insights. You'll play a key … role in ensuring that our clients and prospects rightly perceive Ometria as the foremost data-driven Customer Data and Experience Platform, by leading your team to uncover hidden revenue opportunities within a customer's data. Role Outcomes Lead the workstreams involving data extraction, transformation, analysis, and visualisation for Ometria's Architect 360 offering, ensuring that the team More ❯
Register Your Interest - DataAnalytics Placement Programme Essentials To join one of our 12-month Internships you will be: Currently be an undergraduate studying at University and applying for a Placement year in your 2nd or final year or graduating from your undergraduate degree in Summer 2026 Looking for work experience after completing A-Levels or equivalent course More ❯
Short title Build creative social media concepts Your application Ready to turn insights into impact? If you're excited to shape campaigns with data, challenge assumptions, and work at the intersection of creativity and analytics- we'd love to hear from you. Apply now and let's unlock the power of data together. Introduction We are looking … for a hands-on Data Analyst who is eager to build, not just analyze. If you love turning social data into meaningful metrics and shaping how we measure influence, we would love to hear from you. Your tasks You analyze campaign and social media performance, extracting actionable insights to support strategic decision-making You utilize tools like Pulsar … GWI, and Captiv8 and and you analyze social media data from platforms like TikTok, Instagram, and YouTube via APIs, surfacing insights and emerging patterns You collaborate with Strategy, Creative and Paid Media teams to deliver integrated, data-driven recommendations and to turn insights into user-friendly recommendations and narratives You structure raw data for scalable outputs, create More ❯
Data Engineer (Snowflake) Position Description If you're looking for a challenge that stretches your talents and want to make a real difference in how modern businesses harness cloud-native data solutions, come and help us grow our Data Engineering capability at CGI. We need a skilled Data Engineer with a focus on Snowflake to help … us build scalable, impactful data platforms using modern technologies. CGI was recognised in the Sunday Times Best Places to Work List 2025 and has been named one of the 'World's Best Employers' by Forbes magazine. We offer a competitive salary, excellent pension, private healthcare, plus a share scheme (3.5% + 3.5% matching) which makes you a CGI partner … hybrid role with regular travel in the London area. All applicants must have the right to live and work in the UK. Your future duties and responsibilities As a Data Engineer specialising in Snowflake, you'll contribute to the design, development, and optimisation of cloud data platforms, often working with a wide array of cloud services and tools. More ❯
Data Engineer Jump Trading Group is committed to world class research. We empower exceptional talents in Mathematics, Physics, and Computer Science to seek scientific boundaries, push through them, and apply cutting edge research to global financial markets. Our culture is unique. Constant innovation requires fearlessness, creativity, intellectual honesty, and a relentless competitive streak. We believe in winning together and … unlocking unique individual talent by incenting collaboration. The Vendor Data Group is part of the larger Core Development team at Jump Trading and is responsible for curating a centralized source of research and reference data for the firm to utilize. The Vendor Data Group operates in a very dynamic environment utilizing a sophisticated and diverse technology stack. … of Jump. The role offers the individual the opportunity to develop both business and technical expertise, while significantly contributing to our evolving code base. We are seeking an experienced Data Engineer with at least 3+ years of experience. They will be working closely with one of our trading teams, building and maintaining mission critical data integration pipelines (ETL More ❯
You analyze campaign and social media performance, extracting actionable insights to support strategic decision-making. You utilize tools like Pulsar, GWI, and Captiv8, and analyze social media data from platforms like TikTok, Instagram, and YouTube via APIs, surfacing insights and emerging patterns. You collaborate with Strategy, Creative, and Paid Media teams to deliver integrated, data-driven recommendations and … to turn insights into user-friendly narratives. You structure raw data for scalable outputs, create clear reports and dashboards, including social listening, competitor analysis, and benchmarks. You contribute to the development of the Social Media Value (SMV) model. You support data model prototyping, including scoring logic, audience clustering, and predictive insights. Driven. Passionate. Diverse. Equal. These are values … you cherish. You have at least 3 years of experience in dataanalytics, ideally within a digital, SaaS, or social media-focused environment. You have a good understanding of social media metrics and are comfortable working with APIs and large datasets from social platforms. You can create clear visualizations and present insights effectively (e.g., via Looker Studio, Tableau More ❯
Head of Distribution Data and Client Reporting Technology Join to apply for the Head of Distribution Data and Client Reporting Technology role at Columbia Threadneedle Investments Head of Distribution Data and Client Reporting Technology Join to apply for the Head of Distribution Data and Client Reporting Technology role at Columbia Threadneedle Investments Where you’ll fit … visionary leader ready to shape the future of technology in asset management, this is your opportunity to make a real impact. We’re seeking a dynamic Head of Distribution Data and Client Reporting Technology to lead our global strategy and technology transformation. This role will focus on enhancing client reporting, distribution, and performance attribution capabilities across our global teams. … You will drive cloud-based innovations (e.g., AWS, Snowflake) and SaaS solutions to create scalable, efficient, and impactful data platforms that improve how we deliver insights to our distribution, sales, and client servicing teams. From fund performance to ESG data and digital engagement, you will lead the charge in optimizing data access and reporting, ensuring we remain More ❯
Senior/Principal Data Scientist - Cross Indication London About Relation Relation is an end-to-end biotech company developing transformational medicines, with technology at our core. Our ambition is to understand human biology in unprecedented ways, discovering therapies to treat some of life's most devastating diseases. We leverage single-cell multi-omics directly from patient tissue, functional assays … to advance the field of drug discovery. Your work will shape our culture, strategic direction, and, most importantly, impact patients' lives. Opportunity This is a unique opportunity for a data scientist to work on multi-omics data to drive transformative insights into drug discovery. As a member of the Cross Indication team, you will contribute to identifying and … validating drug targets through advanced data analysis and innovative computational approaches. The Cross Indication team collaborates across both Relations internal and partnership programmes, applying state-of-the-art computational methods to integrate diverse datasets. By combining biological insights with advanced dataanalytics, the team drives target discovery and validation initiative. Your responsibilities Develop and implement computational workflows More ❯
