7 jobs found

EY is a global leader in assurance, tax, transaction and advisory services. The insights and quality services we deliver help build trust and confidence in the capital markets and in economies the world over. We develop outstanding leaders who team to deliver on our promises to all of our stakeholders. In so doing, we play a critical role in building a better working world for our people, for our clients and for our communities. Visit us at http://www.ey.com/CH/en/Careers As the only one of the Big 4 with a specialist cross-border practice dedicated to the Financial Services Sector, we offer our clients seamless, consistent and high-quality service around the globe. Our Advisory business offers a broad range of functional and cross-country services dedicated to providing high-value and trusted advice to clients, with a specific focus on business transformation programs in the Financial Services industry.   We are currently looking for motivated and committed consultants to further strengthen our practice within the FSO Advisory Risk Management team in Zurich.     Tasks that you promote Advisory engagements where you will support our clients (financial institutions ranging from leading global market players to more regional focused institutions) in financial risk management related challenges ranging from the review or development of firm wide quantitative models for measuring various risks like market risk, credit risk, operational and fraud related risks to the valuation of complex derivatives incl. applying advanced analytics. Support audit mandates where you will support our audit teams in the areas of the valuation of financial products and contracts / physical assets and validation of all kind of risk related models. Developing your technical and social skills in particular through internal and external training opportunities incl. obtaining professional degrees like GARP ERP or FRM.   Your profile to succeed together  A Master of Science or PhD in a quantitative field (mathematics, physics, statistics, financial or computational engineering, econometrics) A strong interest in financial risk management and/or applying advanced analytical methods like machine learning in the financial risk management world Good knowledge of programming or DB languages like VBA, Matlab, Python SQL, R and C # (or other) allowing you to analyze data, implement quantitative algorithms and develop solutions Good knowledge of a development environment and experience implementing predictive models and machine learning is a plus Fluent in German or English Excellent interpersonal and communication skills and the ability to demonstrate initiative and a flexible working style within a multi-national team. More opportunities for your development           Do you have challenging plans? Stick to them and realize your goals with us! Design your career with  EY  in a culture that promotes diversity and education. In an environment that constantly opens new doors through knowledge sharing, flexibility and recognition. We offer you to join our highly motivated team of advisory professionals. You will be working and learning in a highly dynamic and cross-functional team - being able to boost your learning curve through the combination of intensive team work, challenging client projects and being part of the network of one of the world's leading professional services firms. The Recruiting Team is looking forward to your application Take the next step: apply for the position (job ID: ZUR0017K) online on our jobs portal! If you have any questions, feel free to contact our recruiting team ( Recruitment.Switzerland@ey.com / +41 58 286 33 66).  

The Knowledge Science team is part of the Corporate R&D division. Fundamental research on AI/ML in the context of chemistry, sensory and creativity is at the core of the team’s activity with the goal to deliver data-driven business functions across the company. Our working environment includes latest hardware equipment and tools from the IT and collaborations with key AI players (academic and industrial) around the world. We are looking for an experienced Data Scientist, grounded with a strong  Machine Learning expertise and passionate about mathematical modeling and optimization processes. Being a  core member of the data science team, you will work in close collaboration with business unit professionals and managers to solve complex business problem through advanced algorithms and machine learning approaches. This role is at the heart of the Firmenich's digitalization strategy and will offer a high visibility within senior level executives. The successfull candidate will have to demonstrate excellent team leading skills and communication abilities to foster a strong data-driven culture within the company.   Your reponsabilities: Conduct research on Artificial Intelligence in the field of the Fragrance and Flavours Industry. Turn business and technical challenges into algorithmic and data-driven solutions. Supervised deployment of models and algorithms within the production environement.  Ensure conitnuous improvement through industrialized machine learning pipeline. Collaborate and communicate to all levels of the company and externally (academic, start-up...). Build new and improved solutions for data collection, management and usage. Become an authorithy in Machine Learning / Artificial Intelligence within the company.   Qualifications: Advanced degree (PhD preferred) in a quantitative field like computer science, engineering, statistics, physics. Demonstrated experience with machine learning, operation research and datamining in professional environement. Proven ability to manage R&D projects and supervise research teams. Deep understanding of statistics, probabilites, artificial neural networks, minimization algorithms. Excellent command of Python/Matlab and related DL frameworks (Tensorflow, PyTorch, Mathworks DL toolbox...). Knowledge of SQL, no-SQL, javascript and DevOps methodologies appreciated. Ability to work in an international atmosphere, involving high-level collaborations with both academic and business partners. Willing to assume additional responsibilities and to become a respected know-how carrier in our team  

GPS (Global Product Strategy) drives the business strategy at Roche from research to commercialization. GPS collaborates closely with teams across the organization to bring new therapies to the market and maximize the launched product portfolio. With your ability to work in the detail yet see the big picture you can influence the direction of the company in a disease area. At Roche we offer you chances to create your career inside or outside of GPS. With offices in 160 countries, we offer a truly international experience depending on where your interests take you. The Data Scientist will be responsible for creating value from data assets using advanced analytics capabilities, such as data science, machine learning, and artificial intelligence methods, to identify critical business issues and opportunities for the strategic direction of Roche as part of the Advanced Analytics and Business Insights (AABI) Center of Excellence. In this role, the individual will work closely with the AABI team and the broader GPS/I8 teams to define use cases, frame analytical solutions and roadmaps, and implement analysis to drive business impact for Roche across the Commercial, Market Access, Medical, and Finance teams. They will work closely with IT to develop state-of-the-art analytical capabilities to address identified needs. The Data Scientist is a subject matter expert on analytics, data, and measurement. Their technical expertise and strong leadership is recognized externally (speaking at conferences and industry events) and internally (proactively providing market expertise and strategic guidance to key stakeholders, while learning and sharing methodologies for complex analyses). They integrate multiple data sources to become a trusted, objective source of strategic insights and compelling recommendations to the Commercial organization and our internal partners. Responsibilities In this position, the person will be accountable to consistently and effectively: Set strategic direction by working across GPS/I8 to understand business needs and translate them into use cases to drive business impact for Roche Partner with the data platform and governance team and IT to ensure that data strategy has the ability to resolve use cases in the most efficient and effective manner Apply analytical and statistical methods to solve identified use cases in an agile manner using multiple data sources and analytical tools Develop, implement, and evolve the role of data science, machine learning, and artificial intelligence capabilities across GPS and I8 Commercial, Market Access, Medical, and Finance teams Automate analyses and develop interactive, employee-facing tools, platforms, and systems that inform, support, and enable business decisions across Roche by delivering insights in a speedy and efficient manner Provide technical/analytical expertise to team through secondary data analytics Collaborate within cross-functional teams to develop solutions, gain alignment and deliver impactful business insights; engage necessary stakeholders to enable better decision-making Openly share perspective and insights to elevate team thinking and drive a balanced, holistic point of view; effectively weigh and communicate trade-off considerations Take an enterprise mindset, linking individual responsibilities with broader organization; focus on outcomes that provide most business value Demonstrate self-accountability Look for opportunities for continuous improvement; engage managers and peer group regularly for coaching, assistance, and advocacy Act as a thought partner and advisor to all relevant teams and stakeholders; look for and establish opportunities for peer mentorship Key Qualifications and Experience Required: Masters/PhD in Data Science, Statistics, or related graduate-level degree At least three years analytical experience, preferably within pharmaceutical or biotech industry Very strong technical skills: designed and conducted analyses to generate insight and recommendations; proficiency in analytical tools (Python, Spark, R etc.) and cloud computing environments Demonstrated ability to influence without direct authority and to develop and maintain strong partnerships Exceptional structured problem-solving and strategic agility abilities Excellent communication skills: simplifying complex information into clear, synthesized insights and presenting them to stakeholders at all levels of the organization Experience with global pharmaceutical data: syndicated sales, promotional & marketing data, longitudinal patient-level data, payer data. Additional knowledge of primary market research or medical research data is a plus. Experience using patient level data (medical/retail claims) to analyze treatment and usage patterns Experience working with commercial teams and marketing analytics Experience with advanced statistical techniques such as experimental design, CHAID, uncertainty analysis, data mining, segmentation methods, multivariate regression, construction of score-cards, or predictive modeling Excellent speaking abilities; strong network around data science and analytics Proven track record for consistently meeting or exceeding qualitative, as well as any relevant quantitative, targets and goals Ability to communicate statistical and technical ideas and results to non-technical clients in written and verbal form, including experience and level of comfort presenting concepts to senior executives Impeccable ethics and integrity Business travel is required for regular internal and external business meetings Are you ready to apply? We are looking for someone who thinks beyond the job offered - someone who knows that this position can be a rare springboard to many other opportunities at Roche. Roche embraces diversity and equal opportunity in a serious way. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better our work will be. Who We Are A member of the Roche Group, Genentech has been at the forefront of the biotechnology industry for more than 40 years, using human genetic information to develop novel medicines for serious and life-threatening diseases. Genentech has multiple therapies on the market for cancer & other serious illnesses. Please take this opportunity to learn about Genentech where we believe that our employees are our most important asset & are dedicated to remaining a great place to work. The next step is yours. To apply today, click on the "Apply online" button.

My client, is a global data & analytics consultancy with a key focus on deriving solutions in the broad fields of Business Intelligence, Data Analytics, Artificial Intelligence and driving business performance. They're data setup is diversified, scaling heavily across the Engineering, Analytics and Data Science space. As part of the next phase of their growth they're looking to grow and scale the Data Analytics team to work in tandem with their Engineering/Data Science teams to offer a consolidated solutions to their clients across various industries (Finance, Automotive, Travel and more). Responsibilities: Prepare and implement POC workshops, training and project organisation particularly utilising Microsoft Data, BI & Analytics services). Deliver project management activities - Creating project expense estimates, projects and resource planning. Manage and cleanse data making sure of the validity and quality for varying client requirements. Provide collaboration with Data Scientists and Engineering teams enabling Machine Learning and advanced analytics projects. Requirements: Passionate about building analytics solutions and working closely with customers. Background in implementing cloud platforms (Microsoft Azure, AWS) Deep technical knowledge in Microsoft SQL, Power BI, SQL, DWH, DataLake or similar technologies. Understanding and ability to work in a team, management skills and ability to liaise with stakeholders. Deep knowledge of cloud technologies including Data streaming, Machine Learning and Big Data topics. German and English speaking. Willingness to travel regularly. If you're working as a Data specialist looking for that next step up, working on state of the art technologies across various industries and providing bespoke solutions to all types of companies do get in touch at   Daniel.Neaves@darwinrecruitment.com   along with your CV and a suitable time to speak.