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We are looking for a Senior Data Scientist whoenjoys seeing their work used as part of 'real-life' solutions. Not only will your work directly contribute to our client deliverables, but you will have the opportunity to see the process through from solution design to deployment, working in close collaboration with our wider team of Data Engineers and Data Analysts. In short, you'll form an integral part of our close-knit team and will have the opportunity to directly contribute to the continued success of the business. We're looking for someone with a co-operative, can-do attitude who can build high-quality data science solutions. If this sounds like you, we can't wait to hear from you! KEY RESPONSIBILITIES: Actively contribute to the design, development, testing, and evaluation of data science solutions Train and deploy state-of-the-art machine learning and reinforcement learning models Build AI systems using Large Language Models Build processes for extracting, cleaning and transforming data (SQL / Python) Ad-hoc data mining for insights using Python + Jupyter notebooks Present insights and predictions in live dashboards using Tableau / PowerBI Lead the presentation of findings to clients through written documentation, calls and presentations Actively seek out new opportunities to learn and develop Be an example of data science best-practice (e.g. Git / Docker / cloud deployment) Contribute to proposals for exciting new data science opportunities Provide direction and mentoring to more junior data scientists REQUIRED SKILLS: Degree in a quantitative field such as mathematics, statistics or data science (PhD in physics highly desirable) Experience of presenting technical concepts to stakeholders Experience of proactively contributing to the design, development, testing, and deployment of data science and AI solutions Experience and understanding of applied machine learning techniques in Python (e.g. xgboost, regression, decision trees) Experience with computational simulation/modelling highly desirable Practical knowledge and experience of developing AI solutions using advanced machine learning techniques (e.g. reinforcement learning, deep learning) Experience of working collaboratively as part of a data science team, using tools like Git to adhere to established data science and AI best practices Experience of using different analysis techniques to draw insight from data, using tools such as Python and SQL Excellent Python, including relevant libraries for data analysis and machine learning (e.g. sklearn, Pandas, NumPy) and at least one deep learning framework Excellent communication skills through written reports and presentations Organisational skills (e.g. planning, time management) Strong problem-solving and analytical skills High attention to detail Ability to work independently and as part of a team INTERVIEW PROCESS: Stage 1: 20 min video call with the Hiring Manager Stage 2: 90 min F2F interview including technical exercise, in our London office OUR COMMITTMENT TODEI: At ADSP, we are committed to fostering an inclusive hiring process and believe in creating an environment where all candidates have equal opportunities to succeed. If you require any reasonable adjustments during the application or interview process, please do not hesitate to reach out to us at

We're looking for a Senior Data Scientist who's passionate about using data to solve real-world problems and has a keen interest in pricing strategy, customer behaviour, and decision science. In this role, you'll work closely with the Pricing team in OakNorth's Personal Savings business to design experiments, build models, and derive insights that optimise pricing decisions. Your work will directly inform how we price to balance growth and cost-efficiency - helping OakNorth maintain strong customer demand while achieving sustainable funding costs. This is a high-impact, hybrid role that blends statistical modelling, economic intuition, and stakeholder collaboration, ideal for someone who wants to shape pricing strategy with rigorous analysis and robust experimentation. The role Work in and partner with the Pricing team to understand key challenges around savings pricing, customer acquisition, and retention. Analyse historical data and trends to present insights and build models that elevates data insights into the hands of stakeholders. Design and evaluate pricing experiments to estimate price elasticity and customer sensitivity across different savings products and customer segments. Build and maintain predictive and econometric models to forecast volumes and optimise pricing strategies. Identify and test pricing opportunities that balance volume growth with cost of funds, under different market conditions. Contribute to tooling and frameworks that support experimentation and analysis at scale. Create data products which enables the team to make accurate decisions faster, leveraging AI and automation. Collaborate with Data Engineering to ensure the right data is available, structured, and reliable for pricing analytics. Communicate results, recommendations, and uncertainty clearly to stakeholders in Product, Finance, and Risk. Stay up-to-date on industry trends and pricing techniques, bringing fresh ideas and best practices into the team. What we're looking for Ability to apply commercial thinking to data science, focusing on practical outcomes and business impact rather than academic perfection. Experience in applied data science, preferably in financial services, pricing, revenue management, or behavioural analytics. Strong statistical foundation in regression, experimentation, causal inference, and forecasting. Experience with price elasticity modelling, segmentation, and simulation approaches a big plus. Strong communication skills - you're able to explain technical concepts and influence decisions. Comfortable working with imperfect data, ambiguity, and evolving priorities. Bonus: experience with DBT, cloud data warehouses (e.g. BigQuery), or automated experimentation platforms. Technology Python (incl. pandas, statsmodels, scikit-learn), Jupyter dbt, SQL (BigQuery, PostgreSQL) Tableau or similar BI tools GitHub, GCP, Docker (optional but useful) How we expect you to work ️ Collaboration: We work in cross-functional, autonomous squads where product, engineering, and analytics sit together to solve shared problems. Outcomes over outputs: We measure success by impact, not volume of work - always tying decisions to business goals. Rapid learning & iteration: We experiment early and often, ship fast, and iterate based on what the data tells us. Empathy for users: We listen deeply - to both customers and colleagues - and design solutions that work for real people. End-to-end ownership: Everyone is empowered to own the work from idea to delivery and beyond. How we expect you to behave ️ We embrace difference and know that when we can be ourselves at work, we are happier, more motivated and creative. We want to be able to bring our whole selves to work, have our own perspectives and know that we belong. As such, through your behaviours at work, we expect you to reflect and actively sustain a healthy engineering environment that looks like this: A wide range of voices heard to the benefit of all Teams that are clearly happy, engaged, and laugh together Perceivable safety to have an opinion or ask a question No egos - people listen to and learn from others at all levels, with strong opinions held loosely What makes working here better This role offers the opportunity to work closely with the team, requiring a minimum of 3 days per week in the office to foster hands-on collaboration and innovation. Work-life balance - 25 days holiday (plus bank holidays) each year, and enhanced family leave allowances. Competitive salary & equity - We want people to have a serious stake in the business. Good kit - Your choice of the best laptop, running macOS or Ubuntu. Team socials - The opportunity to get to know each other outside of work. Company socials - A chance to catch up and meet new colleagues weekly over informal office breakfasts and dinners on OakNorth - or at our free barista bar every day. Commuter support - We offer the cycle to work & EV scheme.

Arcadis is the world's leading company delivering sustainable design, engineering, and consultancy solutions for natural and built assets. We are more than 36,000 people, in over 70 countries, dedicated toimproving quality of life. Everyone has an important role to play. With the power of many curious minds, together we can solve the world's most complex challenges and deliver more impact together. About the Role: As a Senior Cost Estimator, you will be a key contributor to our strategy, 'Accelerating a Planet Positive Future', our commitment to achieving a Net-Zero carbon footprint. You will specialise in estimating costs for critical transport infrastructure, land remediation, and defence projects within the electricity transmission sector. Your expertise will be instrumental in planning and executing construction or modifications to overhead lines, substations, buried cables, power tunnels, bridges, rail and mobility infrastructures. You will work closely with strategic sourcing, contract management, and project teams, facilitating the accuracy and quality of cost plans and estimates while supporting winning cost transparency strategies. Key Responsibilities: Cost Estimation: Develop detailed and accurate cost plans and estimates for various construction activities (civil, mechanical, and electrical) within high-voltage electrical projects (132kV to 400kV). Cost Estimation: Develop detailed and accurate cost plans and estimates for various construction activities (civil, mechanical, and electrical) within Mobility and Transportation Infrastructure. Cost Estimation: Develop detailed and accurate cost plans and estimates for various construction activities (civil, mechanical, and electrical) within Heavy Civil Engineering and Land Remediation. Cost Analysis: Competitively assess and benchmark CBS with Z Analysis, presenting findings to project teams and contributing to informed decision-making. Qualifications & Experience: Essential: Proven experience in infrastructure cost planning and estimating within the Infrastructure/Transport and Electrical Transmission industry. Extensive knowledge of high-voltage electrical construction projects, encompassing overhead lines, substations, and cable systems. Extensive knowledge of Infrastructure construction projects, including heavy civil, land remediation, decommissioning and flood defence. Deep understanding of construction techniques, materials, and their associated costs. Proficient in CESSM 4 and capable of working on Client-developed CBS/WBS structures. Demonstrated ability to interpret engineering drawings, specifications, and project documentation. Proficiency in using relevant cost planning and estimating software ( CANDY and Cost-X ). Proficiency in using relevant data analysis and visualisation tools software ( Power-Bi and Tableau ). Desirable: Professional membership ( CIOB, RICS, ICE , etc.). Experience in project cost planning for regulated companies. Familiarity with relevant industry standards and regulations. Bachelor's degree in Quantity Surveying, Civil or Electrical Engineering, Construction Management , or a related field. National security vetting: clearance levels (Baseline Personnel Security Standard (BPSS) and Security Enhanced(SE) ). Due to the sensitive nature of our work in the Infrastructure Development and Electricity Transmission industry, this is a requirement for all employees. Key Skills & Attributes: Excellent analytical, problem-solving, and decision-making abilities. Strong attention to detail, accuracy, and organisational skills. Excellent communication and interpersonal skills, with the ability to collaborate effectively across teams. Demonstrated the ability to work independently, in small teams, and proactively. Passion for driving efficiency, innovation, and delivering results. Why Arcadis? We can only achieve our goals when everyone is empowered to be their best. We believe everyone's contribution matters. It's why we are pioneering a skills-based approach, where you can harness your unique experience and expertise to carve your career path and maximize the impact we can make together. You'll do meaningful work, and no matter what role, you'll be helping to deliver sustainable solutions for a more prosperous planet. Make your mark, on your career, your colleagues, your clients, your life and the world around you. Together, we can create a lasting legacy. Join Arcadis. Create a Legacy. Our Commitment to Equality, Diversity, Inclusion & Belonging We want you to be able to bring your best self to work every day which is why we take equality and inclusion seriously and hold ourselves to account for our actions. Our ambition is to be an employer of choice and provide a great place to work for all our people. We believe that by working together diverse people with different experiences develop the most innovative ideas. Equality, diversity and inclusion is at the heart of how we improve quality of life and we work closely with our people across six ED&I Workstreams: Age, Disability, Faith, Gender, LGBT+ and Race. A diverse and skilled workforce is essential to our success.

The role: We are seeking a highly skilled Senior Data Scientist to join our team. Reporting into the Data Delivery Lead, you will be responsible for analysing and interpreting data from a variety of sources to support our clients decision-making processes. The Data team within Prevail underpins all our mission focused teams. No two days are the same, and the real-world problems that we seek to solve are complicated. Our ideal candidate will have exceptional analytical skills, with the ability to navigate through complex datasets to turn ambiguous requests into meaningful insights. These are the key things that you will be responsible for within the Senior Data Scientist role. There will be activities and tasks in addition to this list that are expected, but the majority of your time will be: Analysing and evaluating intelligence data to identify patterns, trends, and relationships that contribute to actionable intelligence. Utilise advanced analytical techniques and tools to assess the reliability, accuracy, and relevance of intelligence information. Develop and maintain databases, data models, and analytical frameworks to facilitate efficient data analysis and retrieval. Collaborate with intelligence and security professionals across the company to understand requirements and priorities. Prepare and deliver reports, briefings, and presentations to communicate analytical findings to stakeholders effectively. Monitor and assess emerging threats, developments, and geopolitical events to support intelligence assessments and forecasting. Collaborate with cross functional teams to advocate for high-quality data solutions. Mentor more junior members of the team You: Essential Criteria: Proven experience working as a Data Scientist in a relevant field Proficiency in data analysis, data mining, and statistical techniques. Detail-oriented and capable of working with large data sets and attention to accuracy and completeness. Proficiency utilising Python or R (5+ years' experience) Familiarity with conventional statistical models (linear/logistic regression, t-tests, ANOVA) Experience in collecting, organising, and analysing data from diverse sources. Strong analytical thinking, problem-solving, and critical reasoning skills. Excellent written and verbal communication skills, with the ability to convey complex information clearly and concisely. Ability to work independently and as part of a team, managing multiple priorities and meeting deadlines. Ability to attain a UK Security Clearance (5+ years residing in the UK) Highly desirable: Experienced in writing reports or academic articles, presenting at conferences, and visual data storytelling. Familiar with AWS, SQL and Tableau. A background in intelligence or quantitative social sciences. Proficient in experimental design principles. Experience in big data handling, with an awareness of analytical biases and pitfalls. Skilled in documenting and sharing methodologies with data professionals. Familiar with version control tools like GitHub. Familiar with building machine learning pipelines and basic engineering principles. Familiar with machine learning techniques (e.g. Random Forest and LGBM). Us: Prevail Partners delivers high quality intelligence, research and consultancy services to clients ranging from governments and multinational corporations to non-governmental organisations. These services are delivered predominantly across Europe, the Middle East and Africa. We pride ourselves on selecting interesting projects which we believe can genuinely make a difference. You will be joining the company at a time of continued growth, and will be required to support a wide variety of these projects across the whole company. What we offer here at Prevail: Competitive salary, salary sacrifice pension, access to onsite gym facilities, enhanced leave polices, and private healthcare after two years at Prevail.

Senior Data Management Professional - Data Product Owner - Data AI Location London Business Area Data Ref # Description & Requirements Bloomberg runs on data. Our products are fueled by powerful information. We combine data and context to paint the whole picture for our clients, around the clock - from around the world. In Data, we are responsible for delivering this data, news and analytics through innovative technology - quickly and accurately. We apply problem-solving skills to identify innovative workflow efficiencies, and we implement technology solutions to enhance our systems, products and processes - all while providing customer support to our clients. Our Team: The Bloomberg Data AI group brings innovative AI technologies into Bloomberg's Data organization while supplying deep financial domain expertise to the development of AI-powered products. Our team provides evaluation and annotation frameworks. We partner closely with team members to align AI innovation with Bloomberg's strategic objectives, focusing on optimizing data workflows and elevating the quality, intelligence, and usability of the data that drives our products. Our work amplifies the impact of the Data organization by delivering intelligent data solutions and domain-informed systems that improve the capabilities and competitiveness of Bloomberg's offerings. The Role: As a Data Product Owner, you will be responsible for providing subject matter expertise in fixed income data and annotation program management, to contribute to the development of Bloomberg Assistant (ASKB). You will play a crucial role, in collaboration with product and engineering teams to implement strategies to gather and scale evaluations and annotations to drive continuous improvements for ASKB. You will be accountable for the overall value delivery of the fixed income annotated datasets - ensuring it meets the current and emerging needs of Bloomberg clients, aligns with internal product goals, and adheres to high standards of quality, transparency, and usability. We'll trust you to: Define the evaluation strategy for Bloomberg Assistant focusing on the fixed income domain, ensuring alignment with market-specific nuances, end-users expectations and Bloomberg domain-specific strategy. Own the end-to-end vision and roadmap for collecting evaluation datasets fit for the purpose of credit analysts workflows. Drive discovery and prioritisation efforts to improve data robustness, annotation accuracy, and overall quality across datasets used for model evaluation and enhancements. Leverage data analytics and insights to uncover trends, identify gaps, and inform annotation methodologies that enhance model performance and user trust. Tackle complex annotation challenges with thoughtful solutions while enforcing strong data governance and integrity standards. Stay up-to-date with industry trends and standard methodologies in generative AI, evaluation, data annotation and fixed income data management. Collaborate cross-functionally with Product, Engineering, Data and other domain experts to steer a results-driven and scalable evaluation data strategy. You'll need to have: Please note we use years of experience as a guide, but we certainly will consider applications from all candidates who are able to demonstrate the skills necessary for the role. 4+ years of recent work experience in the financial services industry, focusing on Fixed Income Strong understanding of credit analyst workflows and data needs Demonstrated experience in data management concepts, for example in improving data accuracy, completeness or timeliness A proven track record of successful project management skills and ability to prioritize tasks accordingly Proficiency in being comfortable discussing technical concepts and experience evaluating trade-offs in design with Engineering and Product Customer-focused approach and the ability to interact with a diverse range of clients Proven ability to take a logical approach and apply critical thinking skills in order to tackle problems We'd Love to See: Knowledge of Python and SQL DAMA CDMP or DCAM certifications Keen interest and familiarity with generative AI frameworks Experience in semantic structures or data modeling Experience using data visualization tools such as Tableau, QlikSense, or Splunk Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law. Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email

Senior Product Data Analyst page is loaded Senior Product Data Analyst Apply locations Cannon Street, London time type Full time posted on Posted 3 Days Ago job requisition id R_14587 Job Title Senior Product Data Analyst Job Description So, who are we? Hello, we're IG Group. We are a publicly-traded FTSE250 FinTech company who run mobile, web and desktop platforms that help our clients trade stocks & shares, leveraged products, Futures & Options and Crypto. We are ambitious. Over 340,000 people already use our platforms. We're global with offices in 18 countries and products in 16 regions. We're hungry to move faster, ship better product for our customers and grow our user base. We believe in high autonomy, and we want people who are looking to do things differently in order to create better experiences for our customers. We work in cross-functional teams and are laser focused on increasing the number of active clients we serve to drive sustainable growth. Your role in the Team's Success In this role, you will focus on analysing product data to drive strategic direction, improve product performance and enhance user experience through the acquisition journey all the way up to First Trade. You will collaborate closely with product managers, engineers, and cross-functional teams to provide insights that can make significant commercial impact and be the go-to person for all things data and performance. How you'll make an impact: Lead conversion analytics across our trading platform - define metrics, deliver insights, and optimise user journeys to improve conversion rates Shape conversion optimisation roadmap through data-driven recommendations, identifying friction points and high-impact improvement areas Partner with Data Analytics Engineers and Software Engineers to collect and model relevant conversion data throughout the customer lifecycle Champion data-driven culture by sharing insights and building strong stakeholder relationships Design experiments and analysis frameworks to quantify ROI of conversion initiatives Lead by example in applying analytics best practices from data collection to analysis What you'll need for this role 5+ Years experience in highly analytical and data driven roles, specifically on the product side Solid experience with A/B testing, conversion measurement frameworks, and quantitative validation methods Strong communicator who can translate complex technical concepts and influence decisions Analytical problem-solver who transforms ambiguous challenges into structured, data-informed solutions SQL proficiency for analysing user behaviours and conversion funnels Statistical knowledge (hypothesis testing, regression) for measuring improvements Visualisation tool expertise (Tableau, Power BI, Looker) for effective data storytelling Experience with digital analytics platforms (Google Analytics, Adobe Analytics) Python or R skills for advanced analysis and modeling User research understanding to complement quantitative insights Curious, collaborative team player able to prioritise in a fast-paced environment Nice to have: Familiarity with customer segmentation, predictive modeling, and machine learning techniques. Prior experience supporting data-driven product roadmaps and experimentation programmes A keen interest in trading and/or investing Basic knowledge of HTML, CSS, JS How we work We try to take a thoughtful approach to our ways of working as a company. We follow a hybrid working model with 3 days in the office - which we think balances the need to collaborate effectively and connect with each other. When it comes to how we deliver, there are 5 things we want everyone to do to drive high performance, better learning and career satisfaction: Lead and Inspire: Drives trust, alignment, and enthusiasm Think Big: Focus on the problems that most impact commercial outcomes Champion the client: Understand and prioritise client's needs Deliver at pace: Push for fast, sustainable growth; Raise the bar: Take ownership, be accountable and share feedback We believe that diversity is vital to success, it fuels creativity, drives innovation and sets us up for global success. We're committed to building teams with a variety of perspectives and skills to help us realise our vision and strategy, that's why we encourage applications from people with diverse backgrounds and experiences to join us on this journey. Learn more about our D&I approach here. The Perks Your growth fuels our success! Thrive with tailored development programs, mentoring opportunities with leaders, and clear career progression. Expand your network through committees, sports and social clubs. Enjoy extra time off for volunteering and community work. As well as having the chance to attend regular social events and join special-interest groups, you get an attractive selection of benefits working with IG: Matched giving for your fundraising activity Flexible working hours and work-from-home opportunities Performance-related bonuses Pension, insurance and medical plans Career-focused technical and leadership trainings in-class and online, incl. unlimited access to LinkedIn Learning platform A day off on your birthday Two days' volunteering leave per year Join us for this exciting journey. Apply now! Number of openings 1

About Outseer At Outseer we are empowering our customers to liberate the world from digital fraud. Our market-leading enterprise fraud and authentication platform is used by thousands of financial institutions around the world to protect millions of customer accounts and billions of transactions annually. Leveraging proven data science, including our proprietary consortium data, our customers use our risk-based, machine learning platform to deliver the highest fraud detection rates, lowest false positive rates, and lowest customer intervention in the industry. We stop fraud, not customers. See what others can't at What you'll achieve: As a Senior Data Scientist you will develop and implement machine learning models, perform advanced data analysis, and identify patterns and trends to improve the efficiency and usability of our products and services. You will also be responsible for creating insightful reports and dashboards to support data-driven decision-making across the organization. Essential Duties Understand business problems and conduct statistical analysis independently. Break down hard problems. Communicate effectively to senior stakeholders. Deliver value end-to-end. Self-serve data engineering and infrastructure as required. Make recommendations on best practice in terms of analysis, machine learning and data science. Have a transformative presence in the team. Develop and implement machine learning models, including feature engineering, model design, training, and deployment. Perform data mining, exploration, and statistical analysis to uncover trends and actionable insights. Create data visualizations, reports, dashboards, and perform data audits. Leverage predictive models to optimize customer experiences and drive business outcomes. Create automated anomaly detection systems to monitor and ensure data quality and operational performance. Desired Requirements Bachelor's degree in Data Science, Computer Science, or a related field. D. in a quantitative field such as Statistics, Computer Science, Mathematics, or Engineering. A "full stack" data scientist - with extensive expertise of data engineering, analysis and analytics, as well as machine learning. 6+ years of experience working in Data Science, preferably within a Software organization. Experience with financial fraud detection and prevention is a major advantage. Advanced proficiency in Python for data science and machine learning applications. Familiarity with cloud-based infrastructure, preferably Azure . Expertise with Data Warehousing/Data Lakes . Proficiency in SQL for data extraction and analysis. Strong experience with data visualization tools such as PowerBI and Tableau . Understanding Java is a plus. Desired Behaviors Independence : Ability to solve complex problems independently as an advanced individual contributor. Adaptability: Demonstrates flexibility and openness to change. Actively seeks and adopts improved approaches and processes. Proactive Action: Takes initiative and is driven by results. Takes ownership of actions and outcomes, meeting commitments and striving for high performance. Effective Workload Management: Makes timely decisions, prioritizes tasks effectively, solves problems, monitors results, and takes corrective action when necessary. Technical Proficiency : Possesses a solid understanding of their role and responsibilities, demonstrating competence in performing tasks and utilizing relevant technical skills. Continuous Learning : Takes personal responsibility for learning and development. Recognizes personal strengths and areas for improvement, actively seeks feedback, and embraces opportunities to learn. Effective Communication : Demonstrates strong facilitation and written communication skills. Clearly articulates ideas and proposals, actively listens to colleagues' perspectives, and values diverse viewpoints. Collaboration: Shares information, fosters teamwork, and contributes to a positive work environment. Actively collaborates with others and encourages a sense of unity and cooperation among team members. Ethical Conduct and Competence : Acts with integrity and intent, displaying ethical character in all actions. Takes accountability for one's own behavior and aligns actions with the company's values and principles. Good Citizenship : Represents the values and interests of Outseer. Acts as a positive ambassador for the company and contributes to the overall well-being and success of the organization. Outseer is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. All employment decisions at Outseer are based on business needs, job requirements and individual qualifications, without regard to race, color, religion or belief, national, social or ethnic origin, sex (including pregnancy), age, physical, mental or sensory disability, HIV Status, sexual orientation, gender identity and/or expression, marital, civil union or domestic partnership status, past or present military service, family medical history or genetic information, family or parental status, or any other status protected by the laws or regulations in the locations where we operate. Outseer will not tolerate discrimination or harassment based on any of these characteristics. Outseer encourages applicants of all ages

Data Demand & Product Owner - Financial Services - PE Backed Location: Hybrid - 2-3 days per week in office (UK) Salary: Competitive + Benefits SystemsAccountants are working with a PE-backed Financial Services client to recruit a Data Demand & Product Owner . This is a pivotal role in shaping and delivering the organisation's growing data strategy. Reporting directly to the CFO and working closely with the Data Strategy Committee (including senior executives), you'll bridge the gap between business needs and technical delivery - ensuring data products bring measurable value, support business goals, and drive process improvement. Key Responsibilities Define the vision, strategy, and roadmap for data products in alignment with business objectives Drive the full lifecycle of data product development, from ideation to deployment and ongoing optimisation Gather and prioritise requirements from stakeholders across the business Maintain the product catalogue and backlog, ensuring high-priority features are delivered first Track KPIs to measure product success and inform enhancements Support governance to ensure data quality, security, and compliance Communicate product value, progress, and insights to stakeholders at all levels Skills & Experience Proven experience in data management, data strategy, or business analysis Background in financial services or regulated industries (preferred) Strong analytical and problem-solving skills with a commercial mindset Excellent communication and stakeholder management abilities Experience working with cross-functional teams including engineers, analysts, and business users Ability to translate complex technical concepts for non-technical audiences Familiarity with data visualisation tools such as Power BI or Tableau is a plus

About Zego At Zego, we understand that traditional motor insurance holds good drivers back. It's too complicated, too expensive, and it doesn't reflect how well you actually drive. Since 2016, we have been on a mission to change that by offering the lowest priced insurance for good drivers. From van drivers and gig workers to everyday car drivers, our customers are the driving force behind everything we do. We've sold tens of millions of policies and raised over $200 million in funding. And we're only just getting started. About the Role We are looking for a driven and detail-oriented Business Intelligence (BI) Analyst to join our growing team. This is an exciting opportunity for someone early in their analytics career who is looking to make a meaningful impact by helping Zego make data-informed decisions across the business. You'll work with teams across the company to ensure data is accessible, accurate, and insightful- helping Zegons understand performance, identify opportunities, and improve outcomes. You'll play a key role in building and maintaining dashboards, creating reports, and supporting ad hoc analysis. You'll work closely with other analysts, data engineers, and business stakeholders to make sure the right data is getting into the hands of the people who need it, in a format they can act on. What you will be doing Reporting & Dashboarding : Build, maintain, and improve self-serve dashboards and regular reports to track key business metrics across different functions (e.g., operations, marketing, product, finance). Ensure reports are accurate, timely, and aligned with stakeholder needs. Ad-hoc Analysis : Support the business with analysis to answer specific questions, solve problems, or test hypotheses - from customer behaviour to operational performance. Translate data into clear and actionable insights using visual and written communication. Data Collaboration: Work alongside analytics engineers and data engineers to ensure datasets are usable and well-documented. Provide feedback to improve data pipelines and model definitions in tools like dbt. Stakeholder Support: Collaborate with business users to understand their needs, build trust in the data, and help them become more self-sufficient through training and documentation. Contribute to the evolution of best practices in how we use data to support decision-making. Process Improvement: Proactively suggest improvements in how we work with data and how we present it, finding new ways to create impact and reduce manual effort. About You You have some professional experience in a BI, data, or analytical role - or can show strong analytical thinking from another context (internships, projects, academics). You are comfortable working with SQL to query data and are familiar with BI tools like Looker, Tableau, or Power BI. You enjoy finding patterns in data and telling stories with numbers. You're organised, curious, and able to manage multiple tasks and priorities with attention to detail. You're eager to learn, ask great questions, and grow your impact over time. You're a great communicator - you know how to explain complex topics clearly and collaborate with non-technical stakeholders. You're excited by the potential of AI and automation to enhance how you work- whether it's learning how to write better queries, streamline analysis, or create smarter workflows. What's it like to work at Zego? Joining Zego is a career-defining move. People go further here, reaching their full potential to achieve extraordinary things. We're spread throughout the UK and Europe, and united by our drive to get things done. We're proud of our company and our culture - a friendly and inclusive space where we can lift each other up and celebrate our wins every day. Together, we're setting the bar higher, delivering exceptional work that makes a difference. Our people are the most important part of our story, and everyone here plays a role. There's loads of room to learn and grow, and you'll get the freedom to steer your career wherever you want. You'll work alongside a talented group who embrace each other's differences and aren't afraid of a challenge. We recognise our achievements, learn from our mistakes, and help each other to be the best we can be. Together, we're making insurance matter How we work We believe that teams work better when they have time to collaborate and space to get things done. We call it Zego Hybrid. We ask you to spend at least one day a week in our central London office. We think it's a good mix of collaborative face time and flexible home-working, setting us up to achieve the right balance between work and life Our approach to AI We believe in the power of AI to meaningfully improve how we work - helping us move faster, think differently, and focus on what matters most. At Zego, we encourage people to stay curious and intentional about how AI is leveraged in their work and teams to drive practical impact every day. This is your chance to do the most meaningful work of your career - and we'll provide you with the tools, support, and freedom to do it well Benefits We reward our people well. Join us and you'll get a market-competitive salary, private medical insurance, company share options, generous holiday allowance, and a whole lot of wellbeing benefits. We also offer an annual flexible hybrid working contribution, which you can use to support with your travel to the office or towards your own personal development. And that's just for starters! There's more to Zego than just a job - Check out our blog for insights, stories, and more. We're an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, marital status, or disability status.

Metyis is growing! We are looking for a Data Science Principal with +8 years of experience to join our Data and Analytics team in London. Who we are Metyis is a global and forward-thinking firm operating across a wide range of industries, developing and delivering Big Data, Digital Commerce, Marketing & Design solutions and Advisory services. At Metyis, our long-term partnership model brings long-lasting impact and growth to our business partners and clients through extensive execution capabilities. With our team, you can experience a collaborative environment with highly skilled multidisciplinary experts, where everyone has room to build bigger and bolder ideas. Being part of Metyis means you can speak your mind and be creative with your knowledge. Imagine the things you can achieve with a team that encourages you to be the best version of yourself. We are Metyis. Partners for Impact. What we offer Interact with our clients on regular basis, to drive their business towards impactful change. Work in multidisciplinary teams and learn from motivated colleagues. A chance to take responsibility for your work, develop yourself every day and take full ownership of your career. Become part of a fast growing international and diverse team. What you will do Manage client interactions and play a key role in building and maintaining client relationships. Translate business problems to analytics solutions with clear output. Translate analytical output to drive business decisions that create impact. Provide project management oversight required to meet client expectations. Responsibilities may include overall project delivery quality, development of presentations, and managing of external relationships. Function as a sounding board for data and analytics related questions of client business leadership. Seek compelling opportunities beyond the scope of the current project. Provide guidance to more junior members of the team, while orchestrating the work of the entire team. Drive growth and development for the members of the team. What You'll Bring +8 years of consulting experience or relevant industry experience, with at least 3+ years at a project lead level. Master (or Ph.D.) degree in a quantitative field with a focus on data analysis (e.g. econometrics, AI, mathematics, physics, and other exact sciences). Sharp thinking ability to be able to quickly differentiate major contributors from irrelevant details and to hierarchically structure information residing in the data under analysis. Robust knowledge of statistical concepts, accompanied by expertise with a set of analytical tools ranging from databases (e.g. SQL, BigQuery, noSQL) to programming languages (e.g. R, Python), and from data visualisation (e.g. Tableau, PowerBI) to machine learning. Understanding data engineering solutions is a plus. Strong experience in MLOps, including model lifecycle management, CI/CD for ML, monitoring, and scalable deployment of ML pipelines in production environments Knowledge of CloudOps practices, with expertise in managing scalable, cost-optimized, and resilient data and ML workloads across major cloud platforms (AWS, Azure, or GCP) Experienced in architecting scalable ML solutions on cloud platforms, leveraging cloud-native services for data pipelines, model deployment, and system reliability Deep understanding of DevOps principles, including infrastructure as code (IaC), automated testing, containerisation (Docker, Kubernetes), and CI/CD pipelines Working knowledge of embedding compliance and security in ML systems, including governance, access controls, and regulatory alignment (e.g., GDPR, HIPAA) Proficient with modern AI tooling and ecosystems, including Hugging Face, Cursor, vector DBs, and productivity tools that accelerate GenAI development Expertise in GenAI and LLMs, with hands-on experience in RAG solutions and agentic frameworks; capable of leading end-to-end design and deployment of GenAI-driven systems Proven ability to manage projects with expert team members and to provide inspiring guidance to juniors in the team. Excellent communication skills, especially to explain complex analytical concepts in non-technical terms to business users. Professional fluency in English. In a changing world, diversity and inclusion are core values for team well-being and performance. At Metyis, we want to welcome and retain all talents, regardless of gender, age, origin or sexual orientation, and irrespective of whether or not they are living with a disability, as each of them has their own experience and identity.

Citi Wealth is a leading provider of financial solutions for affluent, high net worth and ultra-high net worth clients around the world. Our Private Bankers, Financial Advisors and Product Specialists act as trusted advisors to many of the world's most successful and influential individuals and families. We provide global insights informed by deep local knowledge and help deliver the complete financial management strategies that today's wealth requires. Our comprehensive services are tailored to individuals and families, including entrepreneurs and business owners, single-and multi-family offices, senior corporate executives, next generation/inherited wealth, law firms and attorneys. From investment strategy, to banking, to lending and cash management we are here to support our clients comprehensively. Our goal is to deliver a premier level of service while helping clients preserve, grow and manage their wealth. Lending is a key product offering within Citi Wealth. Lending provides competitive borrowing solutions that are strategically integrated into our client's broader Wealth Management goals. Our team provides lending solutions across all three client segments including Citi Private Bank, Wealth at Work, Citi Private Client and Citigold as part of their wider Citi relationship. Role Securities Based Lending's (SBL) Product Solutions (PS) team is tasked with building a best-in-class SBL Platform for Lending and Wealth. The cornerstone for this transformation is newly designed and implemented Loanable Value (LV) Framework. The SBL PS SVP in EMEA will be expected to develop LV methodologies applicable to SBL portfolios, seek stakeholder input, implement, test & validate the Portfolio LV construct for SBL. Additionally, the candidate will be expected to know the basics for stress testing, portfolio management and risk analytics to shape deliverables and projects for SBL PS and lending. The role is integral to create a market leading lending organization focused on sustainable growth with a best-in-class SBL product. Responsibilities Design, calibrate with stakeholder feedback and outline governance for Portfolio LV Methodologies across SBL Wealth client segments. Requires a wholistic approach to be flexible for client needs, address risk concerns, have a consistent and unified approach, and provide insights to clients. Build and deploy analytical tools to support Portfolio LV assessments that include asset-class quantitative and qualitative attributes and simulate potential margin calls in stress markets. Leverage existing firm and business portfolio approaches to tailor for Wealth clients. Lead portfolio LV model design, documentation, performance testing and presentation to stakeholders. Deliver clear and persuasive communications across senior business heads, forums, committees and impacted stakeholders; translate complex quantitative topics into actionable decisions. Develop tools for quantitative insights into potential risks and returns to facilitate better leverage management for portfolios. Actively contribute to firmwide initiatives related to SBL Transformation, Collateral Management System rebuild and prioritize an enhanced client experience in SBL. Collaborate with Controls, Risk, Legal and Compliance to ensure Portfolio LV meets policy, regional jurisdictional, and regulatory standards. Delegate for Product Solutions team in discussions with lenders, risk, controls, audit and regulators. Requirements Extensive experience in risk analytics, preferably in Wealth Management, Prime Brokerage or Margin Lending. Strong knowledge of capital markets instruments and risks, including equities, fixed income, funds, structured notes. Advanced understanding of SBL, portfolio optimization, and asset LV methodologies. Experience with counterparty risk modeling, Monte-Carlo simulations, multi-asset stress testing and VaR. Knowledge of regulatory capital requirements (Basel III / IV), SR11-7, RWA and CECL. Strong programming skills (Python, R, C#, SQL) and knowledge of data management tools like Tableau. Ability to manage large projects with multi-functional stakeholders. Exceptional communication skills with ability to present technical analysis to front-office, risk and control stakeholders, and influence and negotiate at senior levels. Education: Minimum requirement: Undergraduate degree in an analytical or quantitative field (STEM) such as economics, statistics, mathematics / sciences, engineering, or a similar field. Masters/MBA preferred but not required. Job Family Group: Private Client Product Services Job Family: IF Margin & Sec Backed Finance Time Type: Full time Most Relevant Skills Please see the requirements listed above. Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi . View Citi's EEO Policy Statement and the Know Your Rights poster.

Job Position: Graduate Data Analyst (Engineer/Scientist) - via the Graduate Development Programme Locations: Sheffield and South Yorkshire Application Requirements: Minimum 2:1 or above in a STEM (Science, Technology, Engineering, and Math) subject. Experience in analysing data. Right to work in the UK unsponsored for the duration of the programme. Ability to work on site up to 5 days a week. Grayce is not on the UK Border Agency's Sponsor Register and is unable to sponsor work visas for international applicants. Are you a curious, adaptable, and proactive problem solver with strong communication skills and a drive to make an impact? At Grayce, we're looking for ambitious graduates who are eager to learn, take ownership and build meaningful relationships while delivering excellence. If you have a keen attention to detail and accuracy, a knack for spotting trends and patterns and the ability to tell a compelling story using data, you'll thrive in our environment. We value resourcefulness, resilience, and a passion for driving change. Join us and be part of a community that cares, collaborates, and thrives together. Understanding the types of roles available to a Data Analyst: Data Analyst: Kick-start your career as a Data Analyst, where you'll transform complex data into actionable insights, create dynamic visualisations and drive business decisions. You'll work with cutting-edge tools, collaborate with stakeholders, and develop automated reports and dashboards, all while refining your technical expertise and problem-solving skills in a fast-paced environment. Data Engineer: Launch your career as a Data Engineer, where you'll design and maintain data pipelines, integrate multiple data sources, and ensure data quality in a cloud-based environment. You'll write clean, testable code, automate data transformation processes, and collaborate with teams to build scalable, high-quality data solutions that drive business insights. Data Scientist: Working as a Data Scientist, you'll support quantitative research and management teams by delivering high-quality data models and exploratory analysis. You'll leverage your analytical skills to extract insights from complex datasets, build robust data pipelines, and collaborate across teams to drive data-driven initiatives that enhance data ecosystems. Why Grayce? We specialise in driving change and transformation for some of the world's most ambitious organisations and for over a decade, we've partnered with FTSE 100 and 250 companies to deliver impactful results by developing and deploying high-performing talent in the UK and beyond. Our accelerated development programmeis designed to launch the careers of recent graduates eager to make an impact. We offer a fast-track route to expertise, allowing you to gain hands-on experience with one of our impressive clients in a variety of flexible roles. Opportunity: You'll embark on a journey of continuous learning, gaining industry-accredited qualifications, whilst getting hands-on experience, working full time on site directly with prestigious FTSE100, 250, and 500 organisations. Delivery: Typically will work for one client, delivering high quality outcomes during your Grayce tenure. The skills required for exceptional client delivery include natural curiosity, proactivity, adaptability, effective communication and problem solving. Mentoring : Thrive under the guidance of our experienced Delivery Managers and Technical Trainers. They'll be your go-to, offering support, insights and sharing experiences. Progression : Starting as an Analyst with the potential for significant salary progression, you will pick up invaluable skills and complete a minimum of 6 industry recognised accreditations during your time on the development programme. What makes a great Grayce Analyst? 2:1 Undergraduate Degree: An undergraduate degree with a minimum 2:1 within in a STEM field. A solid academic basis within data analysis and science through an additional MSc would be an advantage. Data Tools: Previous experience with tools such as Excel, R, SQL or Python are an essential for this role. If you have utilised visualisation programmes such as Tableau or Power BI in projects before, we are also keen to hear from you. Analytical Problem Solving: We're looking for analytical minds that can spot patterns and think creatively. Whether it's dissecting complex issues or finding fresh angles, we highly value critical thinking skills and their application. Soft Skills: From effective communication styles to planning, organisation and a learning development mindset, Grayce is committed to building core consultancy skills. Stakeholder and time management are core skills we utilise every day and we look for examples of those through our interview process. Why work for us? Competitive Salary: Starting at £25,000 with potential for significant growth Industry Recognition: We help you embark on your journey with fully funded, industry-recognised qualifications designed to maximise your experience and put you in control of your career Mentors and Coaches: Access a network of mentors and coaches dedicated to you, your experiences and development at Grayce Wellness Support: We are here for you 24/7 with our Employee Assistance Programme, offering confidential assistance ranging from financial and legal support to health and wellbeing.

Commercial Analytics Manager (Marketing and Market Access) page is loaded Commercial Analytics Manager (Marketing and Market Access) Apply locations GB - United Kingdom (London - Office) time type Full time posted on Posted Yesterday job requisition id REQ-2025-576 Position Overview As the Marketing / Market Access Analytics Staff Manager, you will play a pivotal role in transforming marketing data into strategic insights that drive performance across campaigns, channels, and markets. You'll partner closely with regional and country-based marketing teams to evaluate campaign effectiveness, connect marketing impact to sales outcomes, and optimize tools for performance tracking and ROI. With strong technical skills and commercial acumen, you'll shape data-driven strategies to fuel marketing insights that will elevate marketing execution and align it with business goals. We're looking for: A data-driven strategist who brings advanced analytics capabilities to assess marketing effectiveness and inform smarter decisions A business-oriented advisor who collaborates with marketing and commercial teams to challenge assumptions and optimize impact A technical expert in marketing analytics tools who is proficient in building dashboards, automating reporting, and optimizing insights An excellent communicator and self-starter who simplifies complex insights into compelling narratives for marketing and executive stakeholders Responsibilities Provide Insights to Shape Marketing Strategy Partner with marketing and commercial leaders to deliver actionable analysis and insights that drive market-leading strategies Translate analytical findings into business cases and action plans aligned with growth goals Challenge assumptions with evidence-based insights that influence strategic priorities Deliver Data-Driven Marketing Insights Analyze and interpret performance across healthcare provider (HCP)-focused marketing channels (e.g., digital engagement with HCP, peer-to-peer events, medical campaigns) to identify trends, ROI drivers, and engagement patterns Conduct marketing mix modeling and campaign attribution analysis to connect HCP-targeted marketing activities with field force impact Provide timely insights and recommendations that optimize spend, messaging, and channel strategy Deliver Market Access Data-Driven Insights Analyze payer data, reimbursement trends, and healthcare economic information to guide market access strategies Analyze payer coverage policies and develop strategic recommendations to improve market access Develop dashboards that are visually compelling for leadership to track market access performance metrics Conduct competitive marketing analysis and monitor competitors' market access strategies to assess their impact on Insulet's positioning and identify opportunities for differentiation Optimize Tools & Technologies Build and maintain dashboards and reporting tools to track performance across marketing activities Leverage analytics platforms (e.g., Tableau, Power BI, SQL, Python) to automate data pipelines and deliver scalable insights Identify and implement improvements to marketing data infrastructure, tools, and reporting workflows Education and Experience Bachelor's degree in business, marketing, analytics, engineering, or a related field required Relevant experience in a marketing analytics, commercial operations, or strategy role Proven experience in med tech, pharma, or other regulated industries preferred Demonstrated success in leading analytics initiatives and influencing strategic marketing decision Skills and Competencies Expertise in marketing analytics, including campaign measurement, attribution modeling, and ROI analysis Advanced proficiency with data tools such as SQL, Python, Tableau, Power BI, and marketing analytics platforms Strong business acumen and problem-solving skills within commercial and med tech environments Ability to synthesize complex data into clear, actionable insights and strategic recommendations Proven experience in building dashboards and automated reports with high attention to detail Data-driven communication and influencing skills to energize a commercial team with robust data and insight delivery and influence stakeholders at all levels Collaborative mindset with a track record of successful cross-functional partnerships Ability to navigate ambiguity, adapt quickly, and proactively address evolving business needs Strong understanding of marketing operations, tools (CRM, MAPs), and performance frameworks Comfortable working in a fast-paced, insights-driven environment with evolving priorities Location: International - London Insulet Corporation (NASDAQ: PODD), headquartered in Massachusetts, is an innovative medical device company dedicated to simplifying life for people with diabetes and other conditions through its Omnipod product platform. The Omnipod Insulin Management System provides a unique alternative to traditional insulin delivery methods. With its simple, wearable design, the tubeless disposable Pod provides up to three days of non-stop insulin delivery, without the need to see or handle a needle. Insulet's flagship innovation, the Omnipod 5 Automated Insulin Delivery System, integrates with a continuous glucose monitor to manage blood sugar with no multiple daily injections, zero fingersticks, and can be controlled by a compatible personal smartphone in the U.S. or by the Omnipod 5 Controller. Insulet also leverages the unique design of its Pod by tailoring its Omnipod technology platform for the delivery of non-insulin subcutaneous drugs across other therapeutic areas. For more information, please visit and We are looking for highly motivated, performance-driven individuals to be a part of our expanding team. We do this by hiring amazing people guided by shared values who exceed customer expectations. Our continued success depends on it! Please read our Privacy Notice to learn how Insulet handles your personal information when you apply for a vacancy with us here . Similar Jobs (2) Commercial Analytics Manager locations GB - United Kingdom (London - Office) time type Full time posted on Posted Yesterday Commercial Analytics Manager locations GB - United Kingdom (London - Office) time type Full time posted on Posted Yesterday Insulet Corporation is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Insulet employees are all focused on the same goal - to make a difference. Our relentless passion is to simplify life for people with diabetes. We excite and empower employees to bring their best selves to work through a culture that supports a healthy work and life balance. We set the bar high to meet customer needs, and our priority is to ensure our employees are equipped and supported to help us get there. We foster and celebrate curiosity, innovation, and learning. Our teams work collaboratively and are empowered to drive the best actions for our customers. Our innovation spirit and customer-centric focus position us as global pioneers - leading the way to improve health outcomes with revolutionary medical devices while breaking down barriers to access.

SAP Project Systems - Sr Manager IT Architecture page is loaded SAP Project Systems - Sr Manager IT Architecture Apply locations United Kingdom - Uxbridge posted on Posted Yesterday job requisition id R At Gilead, we're creating a healthier world for all people. For more than 35 years, we've tackled diseases such as HIV, viral hepatitis, COVID-19 and cancer - working relentlessly to develop therapies that help improve lives and to ensure access to these therapies across the globe. We continue to fight against the world's biggest health challenges, and our mission requires collaboration, determination and a relentless drive to make a difference. Every member of Gilead's team plays a critical role in the discovery and development of life-changing scientific innovations. Our employees are our greatest asset as we work to achieve our bold ambitions, and we're looking for the next wave of passionate and ambitious people ready to make a direct impact. We believe every employee deserves a great leader. People Leaders are the cornerstone to the employee experience at Gilead and Kite. As a people leader now or in the future, you are the key driver in evolving our culture and creating an environment where every employee feels included, developed and empowered to fulfil their aspirations. Join Gilead and help create possible, together. Job Description Gilead Sciences, Inc. is a biopharmaceutical company that has pursued and achieved breakthroughs in medicine for more than three decades, with the goal of creating a healthier world for all people. The company is committed to pursuing scientific invention to prevent and treat life-threatening diseases, including HIV, viral hepatitis, and cancer. Gilead has operations in more than 35 countries worldwide, with headquarters in Foster City, California. You will be part of a team that is helping millions of people live healthier, more fulfilling lives. Inclusion is one of our core values, which means we are creating and fostering a work environment where our differences are valued, and everyone feels respected and empowered to bring their authentic selves to work. Job Summary The role for S4/Hana Projects Systems will drive successful business process improvement and technical resolution of emerging Project system issues and requests. The role will partner with business subject matter experts and managers in the areas of Report-to-Record, Projects, Source-to-Settle, and Plan-to-Deliver. Essential Duties and Job Functions: Understand the SAP Project systems technology landscape and how it affects the business operations Interact with business to understand business requirements to conclude solutions, configuration, testing and support Demonstrated track record of implementing Project solutions in more than couple of projects by solution design, program management, Product delivery and service management. Good configuration knowledge of PS structures: WBS, Network, Milestones, Cost Planning, Budgeting, Material Requirement planning, Project quotation, Time sheets, Goods issues, and other project management activities in SAP PS. Integration knowledge with CO, FI and MM, SD and PP. Provide thought leadership to Business Solutions and its customers focused on Supply Chain strategy specifically in Project Systems solutions and the road map within these areas. Understand the system ecology and its financial interfaces with legacy systems (Oracle/Hyperion) and SAP components (E-Hana, SAC-P, Analysis for Office, Webi) Build effective relationships with business subject matter experts and senior leadership to facilitate accurate solutions Thoroughly understand the SAP Project Systems (PS) technology landscape, including its architecture, data flows, and integration points, and how it directly impacts business operations. Demonstrated hands-on experience in the full lifecycle implementation of SAP PS solutions across multiple projects, from initial solution design and configuration to program management, product delivery, and ongoing service management. Proven ability to independently configure and customize core SAP PS functionalities, including: Work Breakdown Structures (WBS) Networks and Activities Milestone Management Cost Planning and Budgeting Material Requirements Planning (MRP) within projects Project Quotation and Billing Goods Issues and Receipts Project Progress Tracking and Reporting Extensive practical experience in managing project lifecycles within SAP PS, ensuring adherence to timelines, budgets, and quality standards. Experience in creating and executing test scripts for unit testing, integration testing and user acceptance testing. Experience in creating and maintaining project documentation, including functional specifications, configuration guides, and user manuals. Integration and Cross-Functional Knowledge: Strong working knowledge of SAP PS integration with other modules, including Controlling (CO), Finance (FI), Materials Management (MM), Sales and Distribution (SD), and Production Planning (PP). Ability to troubleshoot and resolve integration issues effectively. Business Requirements and Solution Delivery: Effectively interact with business stakeholders to gather, analyze, and translate business requirements into viable SAP PS solutions. Develop and present comprehensive solution proposals that align with business needs and best practices. Lead and facilitate workshops and meetings to gather requirements and validate solutions. Experience in change management as it applies to SAP project implementations. Job Competencies Adaptability/ Flexibility: Adapts to change, is open to new ideas, takes on new responsibilities, handles pressure, and adjusts plans to meet changing needs. Business Focus: Builds business partner confidence, is committed to increasing business unit satisfaction, sets achievable business expectations, assumes responsibility for solving problems, ensures commitments to business needs are met, solicits opinions and ideas from business partners, responds to internal business needs with appropriate sense of urgency. Decision Making/ Judgment: Recognizes problems and responds, systematically gathers information, sorts through complex issues, seeks input from others, addresses root cause of issues, makes timely decisions, can make difficult decisions, and communicates decisions to others. Organizational Savvy: Operates within the organization's formal and informal structures, builds allies and relationships across departments, uses allies to build consensus and create results, is appropriately diplomatic, and understands others' roles and perspectives. Education: Bachelor's degree in Computer Science or Engineering, Information Systems, or similar field or relevant professional experience. Qualification: Solid experience in delivering Enterprise level SAP Project Systems solutions including S/4 experience Proficiency in SAP Projects systems configuration and testing in all major areas Experience with accrual engine, workflow setup and CFIN are a great plus Familiarity with segregation of duty (Sox) Excellent problem solving, and analytical abilities combined with advanced Excel spreadsheet skills. Superior communication, presentation, change leadership and management skills are required. Highly motivated, committed to driving change and to continually improving processes and results. Commercially aware and adept at communicating across a wide number of departments and at managing priorities and multiple tasks to meet deadlines in time critical periods. Must be an independent self-starter who is effective in a fast-paced environment with the ability to quickly establish credibility with, and influence, diverse audiences. Experience with SAP and Oracle EBS preferred. Experience in dashboard platforms (Tableau, Power BI, Spotfire). Must be fluent in English (written and spoken). Equal Employment Opportunity (EEO) It is the policy of Gilead Sciences, Inc. and its subsidiaries and affiliates (collectively "Gilead" or the "Company") to recruit select and employ the most qualified persons available for positions throughout the Company. Except if otherwise provided by applicable law, all employment actions relating to issues such as compensation, benefits, transfers, layoffs, returns from layoffs, company-sponsored training, education assistance, social and recreational programs are administered on a non-discriminatory basis (i.e. without regard to protected characteristics or prohibited grounds, which may include an individual's gender, race, color, national origin, ancestry, religion, creed, physical or mental disability, marital status, sexual orientation, medical condition, veteran status, and age, unless such protection is prohibited by federal, state, municipal, provincial, local or other applicable laws). Gilead also prohibits discrimination based on any other characteristics protected by applicable laws. For Current Gilead Employees and Contractors: Please apply via the Internal Career Opportunities portal in Workday. About Us Gilead Sciences, Inc. is a biopharmaceutical company that has pursued and achieved breakthroughs in medicine for more than three decades, with the goal of creating a healthier world for all people . click apply for full job details