Senior Laboratory Research Scientist - Spatial Profiling MANIFEST Research Platform/Cancer Dynamics Laboratory Reports to: Prof. Samra Turajlic, Cancer Dynamic Laboratory Group Leader and MANIFEST Consortium Lead, Contract term: This is a full-time, fixed term (3 years) position on Crick terms and conditions of employment. The role will be placed in the Cancer Dynamics Laboratory and will support the MANIFEST research platform led by Prof. Samra Turajlic. Research Group & Project The MANIFEST RESEARCH PLATFORM Harnessing the immune system to treat cancer has revolutionised survival outcomes for many patients. Immune checkpoint inhibitor therapies which unleash the brakes from immune cells to kill cancer cells, have become standard of care for many cancer subtypes. The success of existing, emerging and future immunotherapies and their routine use in the NHS is dependent on the appropriate tools, data and technology to rationalise their use and manage their side effects. Nevertheless, almost no biomarkers today can effectively distinguish responders from non-responders, predict toxicity, or guide treatment choices. An exciting Senior Laboratory Research Scientist (SLRS) post is available for MANIFEST ("Multiomic ANalysis of Immunotherapy Features Evidencing Success and Toxicity"), a newly formed ambitious multi-stakeholder consortium involving academic, industry and NHS partners to deliver deep multiomic profiling for patients with cancer undergoing immunotherapy. The MANIFEST consortium represents a diverse group of UK-wide experts in cancer research and clinical care comprising major NHS trusts, academic institutes and universities, and industry partners. This grant is funded by the UK Office of Life Sciences (OLS) and the Medical Research Council (MRC). MANIFEST addresses the critical challenge in cancer treatment: predicting how patients will respond to immunotherapy. By integrating multiomic data and innovative methodologies, this platform aims to enhance treatment precision and effectiveness. More information can be found here: . Summary of the role The successful candidate will join the MANIFEST programme within the Cancer Dynamics research group and will work closely with the Experimental Histopathology Science Technology Platform (STP), providing advice, training, and expertise in a range of techniques to analyse human cancer specimens for translational research within the MANIFEST platform. Their time will be spent in the lab, with a primary responsibility for optimising and performing automated Immunohistochemistry (IHC), multiplex Immunofluorescence (mIF), and RNAScope on tissue sections derived from formalin-fixed paraffin-embedded (FFPE) human cancer tissue blocks. The post holder will also be involved in the development of new technologies relating to spatial transcriptomics and integrated proteomics with the opportunity to collaborate with leading technical platforms (Leica Bond RX, Akoya, 10X Genomics), as well as access to expertise across the broader consortium. Whilst the primary responsibility of the role is to support spatial multiomic pipelines within the MANIFEST Histology platform, additional responsibilities will include slide scanning and image pre-processing plus general lab organisation/administration. The post holder will report to the Group Leader Samra Turajlic and will interact closely with the Experimental Histopathology facility at the Crick, as well as with post-docs, students, scientists, technicians from the lab, and scientific partners of MANIFEST. Within this role, there will be several opportunities for personal development including access to relevant training and courses, interactions with scientific partners and Key Opinion Leaders across the MANIFEST platform as well as opportunities for training and secondment in different research environments across the UK within the MANIFEST consortium. Key Responsibilities These include but are not limited to: Exemplifying and maintaining standards for the Histology platform Conducting experimental work autonomously and by own initiative as agreed with the Spatial Lead and Programme Lead Operating as a technical specialist in IHC/mIF and ISH (RNAScope) staining and spatial transcriptomics staining projects Interacting with and consulting collaboratively with researchers Actively supporting and training team members to develop their skills and promote collective success Use of knowledge to build on existing methodologies and innovate through Identification, assessment and development of new technologies, to expand the capabilities of the platform under guidance of Spatial lead Supporting and contributing to existing projects through effectively and efficiently performing established techniques Contribution to the day-to-day operations to ensure the laboratory runs as efficiently as possible, including reagent preparation, operation and maintenance of platform equipment, sample accession and preparation, maintenance of safety standards and general lab organisation Communication and participation in lab work discussions, lab meetings, spatial work meetings, to keep colleagues informed of developments Writing and presenting work to MANIFEST stakeholders as required Engaging in relevant MANIFEST programme workflows with academic, NHS and industry partners Striving for continuous performance improvement Maintaining professional development through attending meetings, seminars and reading relevant literature Person Specification The post holder should embody and demonstrate our core Crick values: Bold, Open, Collegiate, in addition to the following: Essential skills/experience Degree (or equivalent) or extensive relevant experience Evidence of extensive experience/skills in IHC/IF and MIF Experience running Bond RX automated stainers Proven evidence of independent thinking, problem solving and troubleshooting Flexible working practice Ability to work with day-to-day independence but able to take direction when necessary High degree of self-motivation Ability to multi-task and integrate the demands of different activities in parallel to maintaining operation of the laboratory. Excellent skills in written and oral communication Computer literacy Open and interactive approach with line manager, laboratory colleagues and collaborators. Desirable skills/experience PhD in a relevant discipline Experience with spatial transcriptomics platforms (CosMx, GeoMx, Visium, Xenium) Experience with High Plex platforms (>15plex - Akoya, Lunaphore) Experience in RNAScope (ISH) staining Experience in working in an academic environment Experience working in a service environment Experience in Image acquisition and analysis About Us At the Crick, we conduct research at the forefront of biomedical research. We combine rigour with an open and collaborative culture, and are outward-looking, reflecting our status as a partnership of six organisations aiming to pool knowledge, ideas and resources. We have a wide research portfolio with no divisions or departments, bringing biomedical researchers together with clinicians, physical scientists and applied scientists from our pharmaceutical partners. We aim to attract the most talented researchers and support them to tackle innovative research questions. Our science technology platforms provide our researchers with access to state-of-the-art technology and expertise. We provide an excellent learning environment with dedicated education programmes in public engagement with science, education and personal development, and a postdoc training programme that prepares scientists for leadership roles in science. If you are interested in applying for this role, please apply via our website . All offers of employment are subject to successful security screening and continuous eligibility to work in the United Kingdom. If you require a visa to work in the UK we will help support your application should you be successful Find out what benefits the Crick has to offer: For more information on our great pay and benefits package please click here: Equality, Diversity & Inclusion: We welcome applications from all backgrounds. We are committed to providing equal employment opportunities, regardless of ethnicity, nationality, gender, sexual orientation, gender identity, religion, pregnancy, age, disability, or civil partnership, marital or family status. We particularly welcome applications from people who are Minority Ethnic as they are currently underrepresented in the Crick at this level. Diversity is essential to excellence in scientific endeavour. It increases breadth and perspective, leading to more innovation and creativity. We want the Crick to be a place where everyone feels valued and where diversity is celebrated and seen as part of the foundation for our Institute's success. The Crick is committed to creating equality of opportunity and promoting diversity and inclusivity. We all share in the responsibility to actively promote dignity, respect . click apply for full job details
Jan 22, 2025
Full time
Senior Laboratory Research Scientist - Spatial Profiling MANIFEST Research Platform/Cancer Dynamics Laboratory Reports to: Prof. Samra Turajlic, Cancer Dynamic Laboratory Group Leader and MANIFEST Consortium Lead, Contract term: This is a full-time, fixed term (3 years) position on Crick terms and conditions of employment. The role will be placed in the Cancer Dynamics Laboratory and will support the MANIFEST research platform led by Prof. Samra Turajlic. Research Group & Project The MANIFEST RESEARCH PLATFORM Harnessing the immune system to treat cancer has revolutionised survival outcomes for many patients. Immune checkpoint inhibitor therapies which unleash the brakes from immune cells to kill cancer cells, have become standard of care for many cancer subtypes. The success of existing, emerging and future immunotherapies and their routine use in the NHS is dependent on the appropriate tools, data and technology to rationalise their use and manage their side effects. Nevertheless, almost no biomarkers today can effectively distinguish responders from non-responders, predict toxicity, or guide treatment choices. An exciting Senior Laboratory Research Scientist (SLRS) post is available for MANIFEST ("Multiomic ANalysis of Immunotherapy Features Evidencing Success and Toxicity"), a newly formed ambitious multi-stakeholder consortium involving academic, industry and NHS partners to deliver deep multiomic profiling for patients with cancer undergoing immunotherapy. The MANIFEST consortium represents a diverse group of UK-wide experts in cancer research and clinical care comprising major NHS trusts, academic institutes and universities, and industry partners. This grant is funded by the UK Office of Life Sciences (OLS) and the Medical Research Council (MRC). MANIFEST addresses the critical challenge in cancer treatment: predicting how patients will respond to immunotherapy. By integrating multiomic data and innovative methodologies, this platform aims to enhance treatment precision and effectiveness. More information can be found here: . Summary of the role The successful candidate will join the MANIFEST programme within the Cancer Dynamics research group and will work closely with the Experimental Histopathology Science Technology Platform (STP), providing advice, training, and expertise in a range of techniques to analyse human cancer specimens for translational research within the MANIFEST platform. Their time will be spent in the lab, with a primary responsibility for optimising and performing automated Immunohistochemistry (IHC), multiplex Immunofluorescence (mIF), and RNAScope on tissue sections derived from formalin-fixed paraffin-embedded (FFPE) human cancer tissue blocks. The post holder will also be involved in the development of new technologies relating to spatial transcriptomics and integrated proteomics with the opportunity to collaborate with leading technical platforms (Leica Bond RX, Akoya, 10X Genomics), as well as access to expertise across the broader consortium. Whilst the primary responsibility of the role is to support spatial multiomic pipelines within the MANIFEST Histology platform, additional responsibilities will include slide scanning and image pre-processing plus general lab organisation/administration. The post holder will report to the Group Leader Samra Turajlic and will interact closely with the Experimental Histopathology facility at the Crick, as well as with post-docs, students, scientists, technicians from the lab, and scientific partners of MANIFEST. Within this role, there will be several opportunities for personal development including access to relevant training and courses, interactions with scientific partners and Key Opinion Leaders across the MANIFEST platform as well as opportunities for training and secondment in different research environments across the UK within the MANIFEST consortium. Key Responsibilities These include but are not limited to: Exemplifying and maintaining standards for the Histology platform Conducting experimental work autonomously and by own initiative as agreed with the Spatial Lead and Programme Lead Operating as a technical specialist in IHC/mIF and ISH (RNAScope) staining and spatial transcriptomics staining projects Interacting with and consulting collaboratively with researchers Actively supporting and training team members to develop their skills and promote collective success Use of knowledge to build on existing methodologies and innovate through Identification, assessment and development of new technologies, to expand the capabilities of the platform under guidance of Spatial lead Supporting and contributing to existing projects through effectively and efficiently performing established techniques Contribution to the day-to-day operations to ensure the laboratory runs as efficiently as possible, including reagent preparation, operation and maintenance of platform equipment, sample accession and preparation, maintenance of safety standards and general lab organisation Communication and participation in lab work discussions, lab meetings, spatial work meetings, to keep colleagues informed of developments Writing and presenting work to MANIFEST stakeholders as required Engaging in relevant MANIFEST programme workflows with academic, NHS and industry partners Striving for continuous performance improvement Maintaining professional development through attending meetings, seminars and reading relevant literature Person Specification The post holder should embody and demonstrate our core Crick values: Bold, Open, Collegiate, in addition to the following: Essential skills/experience Degree (or equivalent) or extensive relevant experience Evidence of extensive experience/skills in IHC/IF and MIF Experience running Bond RX automated stainers Proven evidence of independent thinking, problem solving and troubleshooting Flexible working practice Ability to work with day-to-day independence but able to take direction when necessary High degree of self-motivation Ability to multi-task and integrate the demands of different activities in parallel to maintaining operation of the laboratory. Excellent skills in written and oral communication Computer literacy Open and interactive approach with line manager, laboratory colleagues and collaborators. Desirable skills/experience PhD in a relevant discipline Experience with spatial transcriptomics platforms (CosMx, GeoMx, Visium, Xenium) Experience with High Plex platforms (>15plex - Akoya, Lunaphore) Experience in RNAScope (ISH) staining Experience in working in an academic environment Experience working in a service environment Experience in Image acquisition and analysis About Us At the Crick, we conduct research at the forefront of biomedical research. We combine rigour with an open and collaborative culture, and are outward-looking, reflecting our status as a partnership of six organisations aiming to pool knowledge, ideas and resources. We have a wide research portfolio with no divisions or departments, bringing biomedical researchers together with clinicians, physical scientists and applied scientists from our pharmaceutical partners. We aim to attract the most talented researchers and support them to tackle innovative research questions. Our science technology platforms provide our researchers with access to state-of-the-art technology and expertise. We provide an excellent learning environment with dedicated education programmes in public engagement with science, education and personal development, and a postdoc training programme that prepares scientists for leadership roles in science. If you are interested in applying for this role, please apply via our website . All offers of employment are subject to successful security screening and continuous eligibility to work in the United Kingdom. If you require a visa to work in the UK we will help support your application should you be successful Find out what benefits the Crick has to offer: For more information on our great pay and benefits package please click here: Equality, Diversity & Inclusion: We welcome applications from all backgrounds. We are committed to providing equal employment opportunities, regardless of ethnicity, nationality, gender, sexual orientation, gender identity, religion, pregnancy, age, disability, or civil partnership, marital or family status. We particularly welcome applications from people who are Minority Ethnic as they are currently underrepresented in the Crick at this level. Diversity is essential to excellence in scientific endeavour. It increases breadth and perspective, leading to more innovation and creativity. We want the Crick to be a place where everyone feels valued and where diversity is celebrated and seen as part of the foundation for our Institute's success. The Crick is committed to creating equality of opportunity and promoting diversity and inclusivity. We all share in the responsibility to actively promote dignity, respect . click apply for full job details
Head of Operations Siemens Healthineers Magnet Technology has an exciting opportunity for an experienced leader to lead, motivate, and support a large team in a fast-paced and demanding environment. In this role, you will be responsible for delivering the Magnet Technology product portfolio to meet customer requirements with the highest standards of quality and cost efficiency. You will work across all manufacturing areas within Supply Chain Management, driving operational excellence and striving for world-class manufacturing status. By leading continuous improvement initiatives and eliminating waste, you will play a crucial role in maximising profitability and ensuring the ongoing success of the existing site in Eynsham, Oxford and our new 4.0 production facility based in Bicester, Oxfordshire. Your tasks and responsibilities: Collaborate with the Senior Leadership Team to shape strategic plans, identify business opportunities, and develop innovative strategies for long-term success, ensuring alignment with the Operations team. Develop and manage financial budgets to achieve key performance indicators (KPIs) such as revenue, profit, and cost of quality, driving financial and operational performance. Build a high-performance culture by promoting ownership, accountability, and adherence to safety (EHS) and operational excellence, ensuring the team's objectives align with overarching strategic themes. Ensure workforce planning meets customer demands by optimising labour resource capacity and implementing robust training programs to support current and future production needs. Evolve the manufacturing facility in line with long-term strategies and new product requirements, maintaining flexibility and adaptability in operations. Champion a world-class Quality culture by upholding stringent quality standards, resolving manufacturing challenges, and embedding a culture of continuous improvement. Lead initiatives to drive Lean manufacturing principles and best practices, fostering efficiency, waste reduction, and the pursuit of operational excellence. Develop, maintain, and utilise scorecards and KPIs to monitor performance, support decision-making, and drive improvement across all operational areas. Your qualifications and experience: A role model in clear, logical communication at all organisational levels, capable of leading discussions, presenting structured arguments, and fostering open dialogue. Advanced expertise in Lean principles, Statistical Process Control (SPC), 8D problem-solving, and Value Stream Mapping (VSM), with the ability to implement and facilitate these tools effectively. Skilled in using standard business and manufacturing software, such as ERP systems (e.g., SAP), project management tools (e.g., MS Project), and workforce modelling platforms. Proficient in methodologies like Value Stream Mapping, Strategic Goal Alignment (Hoshin Kanri), Structured Problem Solving, and Agile Visual Management to enhance operational efficiency. Strong understanding of manufacturing processes and products across multiple departments, with the ability to connect workflows to operational goals. Education • Degree or equivalent experience in relevant Operations, Business Management, Supply Chain Management subject • Proven experience in a Senior Operations Management position Why Siemens Healthineers? We offer excellent benefits, including 26 days holiday + Bank Holidays (with the option to buy/sell more) , annual bonus, BUPA, up to 10% employer pension contribution , onsite gym, subsidized restaurant, share scheme, and free onsite parking. Be part of a team that is pushing boundaries in healthcare innovation . Our projects impact lives globally, from diagnostics and image-guided therapy to cancer care and advanced manufacturing technologies. Our culture: At Siemens Healthineers, we pioneer breakthroughs in healthcare. For everyone. Everywhere. Sustainabily We are an inclusive and diverse global team of over 71,000 employees across 70+ countries. Together, we are passionate about improving lives through innovation and collaboration. If this sounds like the opportunity you've been waiting for, join us and help shape the future of healthcare manufacturing! How we work: When you join Siemens Healthineers, you become one in a global team of scientists, clinicians, developers, researchers, professionals, and skilled specialists, who believe in each individual's potential to contribute with diverse ideas. We are from different backgrounds, cultures, religions, political and/or sexual orientations, and work together, to fight the world's most threatening diseases and enable access to care, united by one purpose: to pioneer breakthroughs in healthcare. For everyone. Everywhere. Sustainably. Check our Careers Site at Siemens Healthineers - Oxford url removed As an equal opportunity employer, we welcome applications from individuals with disabilities. We care about your data privacy and take compliance with GDPR as well as other data protection legislation seriously. For this reason, we ask you not to send us your CV or resume by email. Please create a profile within our talent community and subscribe to personalized job alert that will keep you posted about new opportunities. To all recruitment agencies: Siemens Healthineers' recruitment is internally managed, with external support permitted only when a qualified supplier has established a formal contract with us. Unsolicited candidate submissions and referrals, absent a current supplier contract, do not establish consent and are ineligible for fees. We delete and destroy unsolicited information, thus, would recommend you refrain from any such practices. Your adherence to our policies is appreciated.
Jan 22, 2025
Full time
Head of Operations Siemens Healthineers Magnet Technology has an exciting opportunity for an experienced leader to lead, motivate, and support a large team in a fast-paced and demanding environment. In this role, you will be responsible for delivering the Magnet Technology product portfolio to meet customer requirements with the highest standards of quality and cost efficiency. You will work across all manufacturing areas within Supply Chain Management, driving operational excellence and striving for world-class manufacturing status. By leading continuous improvement initiatives and eliminating waste, you will play a crucial role in maximising profitability and ensuring the ongoing success of the existing site in Eynsham, Oxford and our new 4.0 production facility based in Bicester, Oxfordshire. Your tasks and responsibilities: Collaborate with the Senior Leadership Team to shape strategic plans, identify business opportunities, and develop innovative strategies for long-term success, ensuring alignment with the Operations team. Develop and manage financial budgets to achieve key performance indicators (KPIs) such as revenue, profit, and cost of quality, driving financial and operational performance. Build a high-performance culture by promoting ownership, accountability, and adherence to safety (EHS) and operational excellence, ensuring the team's objectives align with overarching strategic themes. Ensure workforce planning meets customer demands by optimising labour resource capacity and implementing robust training programs to support current and future production needs. Evolve the manufacturing facility in line with long-term strategies and new product requirements, maintaining flexibility and adaptability in operations. Champion a world-class Quality culture by upholding stringent quality standards, resolving manufacturing challenges, and embedding a culture of continuous improvement. Lead initiatives to drive Lean manufacturing principles and best practices, fostering efficiency, waste reduction, and the pursuit of operational excellence. Develop, maintain, and utilise scorecards and KPIs to monitor performance, support decision-making, and drive improvement across all operational areas. Your qualifications and experience: A role model in clear, logical communication at all organisational levels, capable of leading discussions, presenting structured arguments, and fostering open dialogue. Advanced expertise in Lean principles, Statistical Process Control (SPC), 8D problem-solving, and Value Stream Mapping (VSM), with the ability to implement and facilitate these tools effectively. Skilled in using standard business and manufacturing software, such as ERP systems (e.g., SAP), project management tools (e.g., MS Project), and workforce modelling platforms. Proficient in methodologies like Value Stream Mapping, Strategic Goal Alignment (Hoshin Kanri), Structured Problem Solving, and Agile Visual Management to enhance operational efficiency. Strong understanding of manufacturing processes and products across multiple departments, with the ability to connect workflows to operational goals. Education • Degree or equivalent experience in relevant Operations, Business Management, Supply Chain Management subject • Proven experience in a Senior Operations Management position Why Siemens Healthineers? We offer excellent benefits, including 26 days holiday + Bank Holidays (with the option to buy/sell more) , annual bonus, BUPA, up to 10% employer pension contribution , onsite gym, subsidized restaurant, share scheme, and free onsite parking. Be part of a team that is pushing boundaries in healthcare innovation . Our projects impact lives globally, from diagnostics and image-guided therapy to cancer care and advanced manufacturing technologies. Our culture: At Siemens Healthineers, we pioneer breakthroughs in healthcare. For everyone. Everywhere. Sustainabily We are an inclusive and diverse global team of over 71,000 employees across 70+ countries. Together, we are passionate about improving lives through innovation and collaboration. If this sounds like the opportunity you've been waiting for, join us and help shape the future of healthcare manufacturing! How we work: When you join Siemens Healthineers, you become one in a global team of scientists, clinicians, developers, researchers, professionals, and skilled specialists, who believe in each individual's potential to contribute with diverse ideas. We are from different backgrounds, cultures, religions, political and/or sexual orientations, and work together, to fight the world's most threatening diseases and enable access to care, united by one purpose: to pioneer breakthroughs in healthcare. For everyone. Everywhere. Sustainably. Check our Careers Site at Siemens Healthineers - Oxford url removed As an equal opportunity employer, we welcome applications from individuals with disabilities. We care about your data privacy and take compliance with GDPR as well as other data protection legislation seriously. For this reason, we ask you not to send us your CV or resume by email. Please create a profile within our talent community and subscribe to personalized job alert that will keep you posted about new opportunities. To all recruitment agencies: Siemens Healthineers' recruitment is internally managed, with external support permitted only when a qualified supplier has established a formal contract with us. Unsolicited candidate submissions and referrals, absent a current supplier contract, do not establish consent and are ineligible for fees. We delete and destroy unsolicited information, thus, would recommend you refrain from any such practices. Your adherence to our policies is appreciated.
Our Team The Data team is a cross-functional team of experienced and passionate data enthusiasts. We use and own modern data tools (Fivetran, Snowflake, dbt, Looker) and cover a diverse range of data problems and stakeholders. What we're offering you: Flexible hours and summer hours Competitive holiday benefits (25 days a year paid holiday, plus 8 bank holidays) Work from anywhere for 2 weeks a year Life Assurance to protect your loved ones Benefits allowance for health, dental, and vision coverage Defined Contribution Pension and Salary Sacrifice Scheme Be Well: Our award-winning wellbeing and mental health programme to support all MVFers and their families Family Forward support for our MVF parents and their mini-mes Free breakfast when in the office The Role MVF is seeking an exceptionally skilled and driven Data Scientist to deliver upon our plans for growth. This is a hybrid-role across Data Science and ML Engineering: we would like someone with either a background in machine learning engineering, but a desire to learn and grow in creating data science products or vice versa. You will be pivotal in building our Data Science and Machine Learning capabilities in order to hit our strategic goals. These are the problem spaces in our backlog: Recommendation systems - predicting cross-sell opportunities Imbalanced classification - predicting the value of leads Optimisation (e.g., Linear programming) - optimising which leads / products we sell to which client Forecasting - predicting client demand Experimentation You will be communicative, commercially-minded, with a strong team-spirit. You will enjoy collaborating with stakeholders, as you will be delivering value across the business, from Paid Marketing to Operations and Sales. Reporting to the Head of Data, you will collaborate closely with a Senior Data Scientist to deliver upon our roadmap. You will have support from Analytics Engineering teams to build and maintain pipelines and from Software Engineering teams to productionize models. The ideal candidate will relish the opportunity to understand their stakeholders more deeply and define where they think they (and Data Science) can add the most value. With support, they will be excited to build data science models from inception to production. Responsibilities: Build and manage a Machine Learning Platform by selecting and integrating tools that complement the existing data ecosystem (AWS, Snowflake) Productionise ML models, ensuring that they are running scalably, efficiently and robustly Develop Data Science/Machine Learning products addressing key business needs in accordance with ML best practices What Success Looks Like: Building effective and efficient Data Science models that deliver measurable business value Ensuring Machine Learning is executed using best-in-class tools, techniques, and approaches within budget and time constraints Ensuring exceptional data integrity and quality across all projects Develop ML monitoring and observability pipeline for deployed models Our Ideal MVF'er: 3+ years of experience in a dedicated Data Science/Machine Learning role; additional data or commercial experience is a plus Strong understanding of mathematical background, focusing on statistics and linear algebra Highly proficient in Python (Pandas, Scikit-Learn, PyTorch, PySpark) and SQL Experience with Snowflake (function & procedure) and Snowpark is a plus Experience with unit and integration tests Strong understanding of machine learning algorithms and best practices Vision for MLOps best practices, particularly regarding version control, Docker, MLFlow, CI/CD Strong communication skills, with the ability to engage effectively with diverse stakeholders Good commercial understanding; knowledge of marketing operations is a bonus
Jan 22, 2025
Full time
Our Team The Data team is a cross-functional team of experienced and passionate data enthusiasts. We use and own modern data tools (Fivetran, Snowflake, dbt, Looker) and cover a diverse range of data problems and stakeholders. What we're offering you: Flexible hours and summer hours Competitive holiday benefits (25 days a year paid holiday, plus 8 bank holidays) Work from anywhere for 2 weeks a year Life Assurance to protect your loved ones Benefits allowance for health, dental, and vision coverage Defined Contribution Pension and Salary Sacrifice Scheme Be Well: Our award-winning wellbeing and mental health programme to support all MVFers and their families Family Forward support for our MVF parents and their mini-mes Free breakfast when in the office The Role MVF is seeking an exceptionally skilled and driven Data Scientist to deliver upon our plans for growth. This is a hybrid-role across Data Science and ML Engineering: we would like someone with either a background in machine learning engineering, but a desire to learn and grow in creating data science products or vice versa. You will be pivotal in building our Data Science and Machine Learning capabilities in order to hit our strategic goals. These are the problem spaces in our backlog: Recommendation systems - predicting cross-sell opportunities Imbalanced classification - predicting the value of leads Optimisation (e.g., Linear programming) - optimising which leads / products we sell to which client Forecasting - predicting client demand Experimentation You will be communicative, commercially-minded, with a strong team-spirit. You will enjoy collaborating with stakeholders, as you will be delivering value across the business, from Paid Marketing to Operations and Sales. Reporting to the Head of Data, you will collaborate closely with a Senior Data Scientist to deliver upon our roadmap. You will have support from Analytics Engineering teams to build and maintain pipelines and from Software Engineering teams to productionize models. The ideal candidate will relish the opportunity to understand their stakeholders more deeply and define where they think they (and Data Science) can add the most value. With support, they will be excited to build data science models from inception to production. Responsibilities: Build and manage a Machine Learning Platform by selecting and integrating tools that complement the existing data ecosystem (AWS, Snowflake) Productionise ML models, ensuring that they are running scalably, efficiently and robustly Develop Data Science/Machine Learning products addressing key business needs in accordance with ML best practices What Success Looks Like: Building effective and efficient Data Science models that deliver measurable business value Ensuring Machine Learning is executed using best-in-class tools, techniques, and approaches within budget and time constraints Ensuring exceptional data integrity and quality across all projects Develop ML monitoring and observability pipeline for deployed models Our Ideal MVF'er: 3+ years of experience in a dedicated Data Science/Machine Learning role; additional data or commercial experience is a plus Strong understanding of mathematical background, focusing on statistics and linear algebra Highly proficient in Python (Pandas, Scikit-Learn, PyTorch, PySpark) and SQL Experience with Snowflake (function & procedure) and Snowpark is a plus Experience with unit and integration tests Strong understanding of machine learning algorithms and best practices Vision for MLOps best practices, particularly regarding version control, Docker, MLFlow, CI/CD Strong communication skills, with the ability to engage effectively with diverse stakeholders Good commercial understanding; knowledge of marketing operations is a bonus
Your work will change lives. Including your own. The Impact You'll Make Recursion is a pioneering TechBio company that leverages AI and machine learning to decode biology and accelerate drug discovery, with data as a key differentiator and value driver. We are seeking a Senior AI/HPC Storage Engineer to join our innovative team. In this role, you will be instrumental in designing, implementing, and managing advanced AI/HPC data systems that propel our groundbreaking drug discovery research. You will leverage your expertise in infrastructure solutions for Science to ensure the performance, scalability, and reliability of our storage systems. Your work will involve creating and maintaining robust infrastructure, automating processes, and optimizing storage systems to handle massive amounts of data and complex computational workloads, while ensuring high data integrity. In this role: You will be responsible for designing, implementing, testing, maintaining, and optimizing our data storage infrastructure and services, utilizing an Infrastructure as Code approach across both on-premises and public cloud environments. Your leadership and technical expertise will be key in driving innovation across all storage tiers within our AI/HPC infrastructure, ensuring we deliver a scalable and effective data platform to support our mission. By developing scripts and workflows, you will automate and verify storage infrastructure provisioning and dynamic reconfiguration, enhancing support for our AI/HPC storage environments. Your meticulous attention to detail will be crucial for performance analysis, benchmarking, troubleshooting and fine-tuning of our data storage systems and services, while efficiently managing user tickets. Your role also includes researching, deploying, and optimizing accessibility, performance, security, and data lifecycle management policies. Regular assessments of our storage platforms' health and operational performance against established metrics will be part of your responsibilities, with a focus on meeting and exceeding operational service level objectives. Finally, as a lead in technical communication and customer collaboration, your efforts will ensure high levels of customer satisfaction. This role presents a unique opportunity to make a meaningful impact within our organization and the broader scientific community. Location: This position is based at our headquarters in Salt Lake City, Utah, or in our offices in Toronto, Canada, or London, United Kingdom. We may also consider a hybrid working arrangement. We ask that hybrid employees commit to regular on-site visits for routine work and departmental events. The Team You'll Join As a Senior AI/HPC Storage Engineer, you will be a part of our dedicated HPC Engineering and Operations team, reporting directly to the Director. This dynamic team includes 3 experienced Engineers, and with the addition of this role, you'll be part of an empowered, cross-functional unit. Our HPC team works in a fast-paced, collaborative environment, handling a broad spectrum of Scientific Infrastructure projects. These range from developing advanced, scalable infrastructure to deploying and managing AI/HPC resources and automating operational processes. The team also plays a crucial role in the curation of our vast data platform, which caters to a diverse set of professionals, including biologists, data scientists, and automation engineers. We're home to BioHive, the industry's most powerful supercomputer and our HPC team is constantly pushing the boundaries in the field of supercomputing in the TechBio industry. As part of this team, you will collaborate on projects that streamline and optimize our machine learning workflows and scientific computing tasks, driving efficient and transformative solutions. This is a unique opportunity to join a team that thrives on innovation, collaboration, and inclusivity in a role that is pivotal to our mission. The Experience You'll Need A minimum of 7 years of experience in managing data storage infrastructure, preferably within global BioPharma organizations. In-depth knowledge of distributed/parallel file systems (IBM Storage Scale GPFS), multi-tier file (NAS), hybrid object storage (MinIO), and storage access and data transfer networking protocols. Experience with RDMA-capable high-speed networking. Extensive experience designing, deploying, testing, supporting, and troubleshooting complex Linux-based computing and data storage environments. Python programming and Bash scripting experience. In-depth hands-on experience in provisioning, configuring, and managing infrastructure through modern CI/CD techniques, GitOps, Infrastructure as Code (IaC) and cloud automation principles. Solid experience with software-defined infrastructure and cloud computing platforms, including Kubernetes, GCP, AWS, and others. Practical knowledge of resource management and job scheduling using Slurm and Kubernetes. Knowledge of container technologies like Apptainer and Docker. Strong verbal and written communication skills for effective documentation and collaboration. Prior experience mentoring, guiding, and cross-training team members. How You'll be Supported At Recursion, we're working to solve some of the most meaningful challenges in human health. During onboarding, you'll be introduced to the Recursion Mindset and Recursion OS through a blend of in-person and online resources designed to help you quickly embrace our culture. You'll be paired with an onboarding "Trail Guide" to support you in your first months and connect with colleagues, both in person and remotely, who will guide you through the traditional and Recursion-specific aspects of your role. Additionally, you'll join onboarding events, like Decoding Recursion, to deepen your understanding and integration into the team. The Values That We Hope You Share: We Care: We care about our drug candidates, our Recursionauts, their families, each other, our communities, the patients we aim to serve and their loved ones. We also care about our work. We Learn: Learning from the diverse perspectives of our fellow Recursionauts, and from failure, is an essential part of how we make progress. We Deliver: We are unapologetic that our expectations for delivery are extraordinarily high. There is urgency to our existence: we sprint at maximum engagement, making time and space to recover. Act Boldly with Integrity: No company changes the world or reinvents an industry without being bold. It must be balanced; not by timidity, but by doing the right thing even when no one is looking. We are One Recursion: We operate with a 'company first, team second' mentality. Our success comes from working as one interdisciplinary team. Recursion spends time and energy connecting every aspect of work to these values. They aren't static, but regularly discussed and questioned because we make decisions rooted in those values in our day-to-day work. More About Recursion Recursion is a clinical stage TechBio company leading the space by decoding biology to industrialize drug discovery. Enabling its mission is the Recursion OS, a platform built across diverse technologies that continuously expands one of the world's largest proprietary biological and chemical datasets. Recursion leverages sophisticated machine-learning algorithms to distill from its dataset a collection of trillions of searchable relationships across biology and chemistry unconstrained by human bias. By commanding massive experimental scale - up to millions of wet lab experiments weekly - and massive computational scale - owning and operating one of the most powerful supercomputers in the world, Recursion is uniting technology, biology and chemistry to advance the future of medicine.
Jan 22, 2025
Full time
Your work will change lives. Including your own. The Impact You'll Make Recursion is a pioneering TechBio company that leverages AI and machine learning to decode biology and accelerate drug discovery, with data as a key differentiator and value driver. We are seeking a Senior AI/HPC Storage Engineer to join our innovative team. In this role, you will be instrumental in designing, implementing, and managing advanced AI/HPC data systems that propel our groundbreaking drug discovery research. You will leverage your expertise in infrastructure solutions for Science to ensure the performance, scalability, and reliability of our storage systems. Your work will involve creating and maintaining robust infrastructure, automating processes, and optimizing storage systems to handle massive amounts of data and complex computational workloads, while ensuring high data integrity. In this role: You will be responsible for designing, implementing, testing, maintaining, and optimizing our data storage infrastructure and services, utilizing an Infrastructure as Code approach across both on-premises and public cloud environments. Your leadership and technical expertise will be key in driving innovation across all storage tiers within our AI/HPC infrastructure, ensuring we deliver a scalable and effective data platform to support our mission. By developing scripts and workflows, you will automate and verify storage infrastructure provisioning and dynamic reconfiguration, enhancing support for our AI/HPC storage environments. Your meticulous attention to detail will be crucial for performance analysis, benchmarking, troubleshooting and fine-tuning of our data storage systems and services, while efficiently managing user tickets. Your role also includes researching, deploying, and optimizing accessibility, performance, security, and data lifecycle management policies. Regular assessments of our storage platforms' health and operational performance against established metrics will be part of your responsibilities, with a focus on meeting and exceeding operational service level objectives. Finally, as a lead in technical communication and customer collaboration, your efforts will ensure high levels of customer satisfaction. This role presents a unique opportunity to make a meaningful impact within our organization and the broader scientific community. Location: This position is based at our headquarters in Salt Lake City, Utah, or in our offices in Toronto, Canada, or London, United Kingdom. We may also consider a hybrid working arrangement. We ask that hybrid employees commit to regular on-site visits for routine work and departmental events. The Team You'll Join As a Senior AI/HPC Storage Engineer, you will be a part of our dedicated HPC Engineering and Operations team, reporting directly to the Director. This dynamic team includes 3 experienced Engineers, and with the addition of this role, you'll be part of an empowered, cross-functional unit. Our HPC team works in a fast-paced, collaborative environment, handling a broad spectrum of Scientific Infrastructure projects. These range from developing advanced, scalable infrastructure to deploying and managing AI/HPC resources and automating operational processes. The team also plays a crucial role in the curation of our vast data platform, which caters to a diverse set of professionals, including biologists, data scientists, and automation engineers. We're home to BioHive, the industry's most powerful supercomputer and our HPC team is constantly pushing the boundaries in the field of supercomputing in the TechBio industry. As part of this team, you will collaborate on projects that streamline and optimize our machine learning workflows and scientific computing tasks, driving efficient and transformative solutions. This is a unique opportunity to join a team that thrives on innovation, collaboration, and inclusivity in a role that is pivotal to our mission. The Experience You'll Need A minimum of 7 years of experience in managing data storage infrastructure, preferably within global BioPharma organizations. In-depth knowledge of distributed/parallel file systems (IBM Storage Scale GPFS), multi-tier file (NAS), hybrid object storage (MinIO), and storage access and data transfer networking protocols. Experience with RDMA-capable high-speed networking. Extensive experience designing, deploying, testing, supporting, and troubleshooting complex Linux-based computing and data storage environments. Python programming and Bash scripting experience. In-depth hands-on experience in provisioning, configuring, and managing infrastructure through modern CI/CD techniques, GitOps, Infrastructure as Code (IaC) and cloud automation principles. Solid experience with software-defined infrastructure and cloud computing platforms, including Kubernetes, GCP, AWS, and others. Practical knowledge of resource management and job scheduling using Slurm and Kubernetes. Knowledge of container technologies like Apptainer and Docker. Strong verbal and written communication skills for effective documentation and collaboration. Prior experience mentoring, guiding, and cross-training team members. How You'll be Supported At Recursion, we're working to solve some of the most meaningful challenges in human health. During onboarding, you'll be introduced to the Recursion Mindset and Recursion OS through a blend of in-person and online resources designed to help you quickly embrace our culture. You'll be paired with an onboarding "Trail Guide" to support you in your first months and connect with colleagues, both in person and remotely, who will guide you through the traditional and Recursion-specific aspects of your role. Additionally, you'll join onboarding events, like Decoding Recursion, to deepen your understanding and integration into the team. The Values That We Hope You Share: We Care: We care about our drug candidates, our Recursionauts, their families, each other, our communities, the patients we aim to serve and their loved ones. We also care about our work. We Learn: Learning from the diverse perspectives of our fellow Recursionauts, and from failure, is an essential part of how we make progress. We Deliver: We are unapologetic that our expectations for delivery are extraordinarily high. There is urgency to our existence: we sprint at maximum engagement, making time and space to recover. Act Boldly with Integrity: No company changes the world or reinvents an industry without being bold. It must be balanced; not by timidity, but by doing the right thing even when no one is looking. We are One Recursion: We operate with a 'company first, team second' mentality. Our success comes from working as one interdisciplinary team. Recursion spends time and energy connecting every aspect of work to these values. They aren't static, but regularly discussed and questioned because we make decisions rooted in those values in our day-to-day work. More About Recursion Recursion is a clinical stage TechBio company leading the space by decoding biology to industrialize drug discovery. Enabling its mission is the Recursion OS, a platform built across diverse technologies that continuously expands one of the world's largest proprietary biological and chemical datasets. Recursion leverages sophisticated machine-learning algorithms to distill from its dataset a collection of trillions of searchable relationships across biology and chemistry unconstrained by human bias. By commanding massive experimental scale - up to millions of wet lab experiments weekly - and massive computational scale - owning and operating one of the most powerful supercomputers in the world, Recursion is uniting technology, biology and chemistry to advance the future of medicine.
INTERNAL AUDIT In Internal Audit, we ensure that Goldman Sachs maintains effective controls by assessing the reliability of financial reports, monitoring the firm's compliance with laws and regulations, and advising management on developing smart control solutions. Our group has unique insight on the financial industry and its products and operations. We're looking for detail-oriented team players who have an interest in financial markets and want to gain insight into the firm's operations and control processes. TEAM OVERVIEW Goldman Sachs Internal Auditors demonstrate strong risk and control mindsets, analytical skills, exercise professional scepticism, and are able to challenge and discuss effectively with management on risks and control measures. We look for individuals who enjoy learning about audit, businesses and functions, have innovative and creative mindsets to adopt analytical techniques to enhance audit techniques, build relationships, and thrive in teamwork and in a fast-paced global environment. Goldman Sachs Internal Audit comprises individuals from diverse backgrounds including chartered accountants, developers, risk management professionals, cybersecurity professionals, and data scientists. We are organized into global teams comprising business and technology auditors to cover all the firm's businesses and functions, including securities, investment banking, consumer and investment management, risk management, finance, cyber-security and technology risk, and engineering. THE ROLE AND RESPONSIBILITIES As the third line of defense, Internal Audit's mission is to independently assess the firm's internal control structure, including the firm's governance processes and controls, and risk management and capital and anti-financial crime frameworks, raise awareness of control risk and monitor the implementation of management's control measures. In doing so, Internal Audit performs the following duties: Communicates and reports on the effectiveness of the firm's governance, risk management and controls that mitigate current and evolving risk Raises awareness of control risk Assesses the firm's control culture and conduct risks Monitors management's implementation of control measures Additional responsibilities include: Develop and maintain an in-depth understanding of business areas, its products, and supporting functions Plan and execute audit testing to ensure audit fieldwork is focused on the right areas and documentation meets high quality standards Identify risks, assess mitigating controls, and make recommendations on improving the control environment Prepare commercially effective audit conclusions and findings, and present to IA senior management and business clients Follow-up on open audit issues and their resolution Participate in department-wide initiatives aimed at continually improving IA's processes and supporting infrastructure SKILLS AND EXPERIENCE REQUIRED 7+ years of experience in a public accounting or internal audit role within the financial services industry or a related control function In-depth technical knowledge of key risks and associated controls within the Wealth Management industry Strong leadership, interpersonal, and relationship management skills Strong verbal and written communication skills Highly motivated with the ability to multi-task and remain organized in a fast-paced environment Relevant certification or industry accreditation (e.g., ACA, ACCA) is a plus ABOUT GOLDMAN SACHS At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at We're committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: The Goldman Sachs Group, Inc., 2023. All rights reserved. Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Veteran/Sexual Orientation/Gender Identity
Jan 21, 2025
Full time
INTERNAL AUDIT In Internal Audit, we ensure that Goldman Sachs maintains effective controls by assessing the reliability of financial reports, monitoring the firm's compliance with laws and regulations, and advising management on developing smart control solutions. Our group has unique insight on the financial industry and its products and operations. We're looking for detail-oriented team players who have an interest in financial markets and want to gain insight into the firm's operations and control processes. TEAM OVERVIEW Goldman Sachs Internal Auditors demonstrate strong risk and control mindsets, analytical skills, exercise professional scepticism, and are able to challenge and discuss effectively with management on risks and control measures. We look for individuals who enjoy learning about audit, businesses and functions, have innovative and creative mindsets to adopt analytical techniques to enhance audit techniques, build relationships, and thrive in teamwork and in a fast-paced global environment. Goldman Sachs Internal Audit comprises individuals from diverse backgrounds including chartered accountants, developers, risk management professionals, cybersecurity professionals, and data scientists. We are organized into global teams comprising business and technology auditors to cover all the firm's businesses and functions, including securities, investment banking, consumer and investment management, risk management, finance, cyber-security and technology risk, and engineering. THE ROLE AND RESPONSIBILITIES As the third line of defense, Internal Audit's mission is to independently assess the firm's internal control structure, including the firm's governance processes and controls, and risk management and capital and anti-financial crime frameworks, raise awareness of control risk and monitor the implementation of management's control measures. In doing so, Internal Audit performs the following duties: Communicates and reports on the effectiveness of the firm's governance, risk management and controls that mitigate current and evolving risk Raises awareness of control risk Assesses the firm's control culture and conduct risks Monitors management's implementation of control measures Additional responsibilities include: Develop and maintain an in-depth understanding of business areas, its products, and supporting functions Plan and execute audit testing to ensure audit fieldwork is focused on the right areas and documentation meets high quality standards Identify risks, assess mitigating controls, and make recommendations on improving the control environment Prepare commercially effective audit conclusions and findings, and present to IA senior management and business clients Follow-up on open audit issues and their resolution Participate in department-wide initiatives aimed at continually improving IA's processes and supporting infrastructure SKILLS AND EXPERIENCE REQUIRED 7+ years of experience in a public accounting or internal audit role within the financial services industry or a related control function In-depth technical knowledge of key risks and associated controls within the Wealth Management industry Strong leadership, interpersonal, and relationship management skills Strong verbal and written communication skills Highly motivated with the ability to multi-task and remain organized in a fast-paced environment Relevant certification or industry accreditation (e.g., ACA, ACCA) is a plus ABOUT GOLDMAN SACHS At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at We're committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: The Goldman Sachs Group, Inc., 2023. All rights reserved. Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Veteran/Sexual Orientation/Gender Identity
Join Proton and build a better internet where privacy is the default At Proton, we believe that privacy is a fundamental human right and the cornerstone of democracy. Since our inception in 2014, founded by a team of scientists from CERN, we have dedicated ourselves to providing free and open-source technology to millions worldwide, ensuring access to privacy, security, and freedom online. Our journey began with Proton Mail, the largest secure email service globally, and has since expanded to include Proton VPN, Proton Calendar, Proton Drive, and Proton Pass. These tools empower individuals and organizations to take control of their personal data, break away from Big Tech's invasive practices, and defeat censorship. Our work impacts hundreds of millions of lives, from activists on the front lines defending freedom to leaders in governments protecting sensitive information. In some cases, Proton's services have even been instrumental in saving lives by enabling secure and private communications in high-risk situations. Proton is a profitable company that does not rely upon VC funding, supporting over 100 million user accounts with a growing team of over 500 people from over 50 different countries, from the world's top companies and universities. We value intelligence, learning potential, and ambition in our hiring process. Adaptability is key as we navigate uncharted territories and redefine how business is conducted online. Hiring at Proton is highly selective, with less than 1% of candidates hired. We believe smaller teams of exceptional talent will always prevail over larger teams with lower talent density. You will have the opportunity to work with many of the world's top minds in their fields, ranging from former international math and science olympiad winners to chess champions. We have a global mindset and big ambitions but remain a start-up at heart. We value empowerment and flexibility and keep our structure flat to keep moving fast and avoid unnecessary politics. Tired of blending into the crowd? Join us and do work you can truly be proud of. Purpose of the role: What you will do: Maintain and refactor existing code to provide a stable API for our VPN client applications and infrastructure. Collaborate with product owners, designers, QA, and other engineers to take initiatives from ideation to completion. Break down large initiatives into smaller milestones to gather stakeholder feedback quickly, allowing us to course-correct immediately. Propose the best next steps when initiatives are deadlocked between product and engineering. Keep security top-of-mind during design and implementation to ensure we keep our promise of protecting our users' data. Demonstrate a growth mindset and team-player attitude by helping the team raise the bar on code quality, architecture, and day-to-day operations. Job Requirements: Strong experience with backend architecture and development. Experience working on highly scalable production systems. Demonstrated problem-solving and software engineering skills. Takes care to ensure that the product always meets user expectations. Strong understanding of software engineering best practices, such as SOLID, Design Patterns, TDD, CI/CD. Is eager to both learn and share their knowledge by engaging in respectful and constructive conversation. Familiarity with modern PHP and the Symfony framework. Open source contributions. Experience leading complex, highly scalable production systems. Experience with data processing and storage (e.g., MySQL, MongoDB, Redis, Kafka, Elastic). High-level understanding of cryptography concepts such as key exchange and the difference between symmetric and asymmetric encryption. Our team's tech stack: PHP / Symfony MySQL Redis Typescript React Docker What We Offer: Office First: Collaboration is easier and more effective in person, which is why we have offices in Geneva, Zurich, Prague, Barcelona, Paris, London, Vilnius, Skopje, and Taipei. You can also enjoy working from home up to 30% of the time, while enjoying great company during our three core days in the office. Depending on the role, fully remote positions may also be available. Technology: We provide all the devices and software you need to excel in your role, ensuring you have the best tools at your disposal to achieve your goals. Food: Lunch and snacks are provided by Proton every day at our offices. Transport: We will always support our employees with transport costs through subsidizing public transport, bike allowances, or parking spaces based on your office location. Stock Options: At Proton, we are all owners of the company and you get stock options when you join us. Flexible Working: You can define your own working hours as long as it works with team meetings. Learning and Development: We are committed to your professional growth. Proton offers various learning opportunities, including training programs, conferences and events, and continual learning. Employee Benefits: Comprehensive health insurance plans, competitive retirement savings options, generous vacation and leave policies, and wellness programs. Work that Matters: Proton is a community-first organization, started with the support of a crowdfunding campaign and built with community input. To this day, Proton's only source of revenue is user subscriptions. Over 100 million people trust and support Proton, and we put our users and community first in everything we do. Our Commitment to Diversity and Inclusion: At Proton, we believe diversity drives innovation and strengthens our mission to provide privacy as a default for all. We are committed to fostering an inclusive environment where all individuals, regardless of race, ethnicity, gender, age, sexual orientation, physical ability, or socio-economic background, feel valued and empowered. We strive to create equal opportunities, promote open dialogue, and support continuous learning to ensure every voice is heard and respected. If you need any extra support or reasonable adjustments during the hiring process, please let your talent partner know.
Jan 21, 2025
Full time
Join Proton and build a better internet where privacy is the default At Proton, we believe that privacy is a fundamental human right and the cornerstone of democracy. Since our inception in 2014, founded by a team of scientists from CERN, we have dedicated ourselves to providing free and open-source technology to millions worldwide, ensuring access to privacy, security, and freedom online. Our journey began with Proton Mail, the largest secure email service globally, and has since expanded to include Proton VPN, Proton Calendar, Proton Drive, and Proton Pass. These tools empower individuals and organizations to take control of their personal data, break away from Big Tech's invasive practices, and defeat censorship. Our work impacts hundreds of millions of lives, from activists on the front lines defending freedom to leaders in governments protecting sensitive information. In some cases, Proton's services have even been instrumental in saving lives by enabling secure and private communications in high-risk situations. Proton is a profitable company that does not rely upon VC funding, supporting over 100 million user accounts with a growing team of over 500 people from over 50 different countries, from the world's top companies and universities. We value intelligence, learning potential, and ambition in our hiring process. Adaptability is key as we navigate uncharted territories and redefine how business is conducted online. Hiring at Proton is highly selective, with less than 1% of candidates hired. We believe smaller teams of exceptional talent will always prevail over larger teams with lower talent density. You will have the opportunity to work with many of the world's top minds in their fields, ranging from former international math and science olympiad winners to chess champions. We have a global mindset and big ambitions but remain a start-up at heart. We value empowerment and flexibility and keep our structure flat to keep moving fast and avoid unnecessary politics. Tired of blending into the crowd? Join us and do work you can truly be proud of. Purpose of the role: What you will do: Maintain and refactor existing code to provide a stable API for our VPN client applications and infrastructure. Collaborate with product owners, designers, QA, and other engineers to take initiatives from ideation to completion. Break down large initiatives into smaller milestones to gather stakeholder feedback quickly, allowing us to course-correct immediately. Propose the best next steps when initiatives are deadlocked between product and engineering. Keep security top-of-mind during design and implementation to ensure we keep our promise of protecting our users' data. Demonstrate a growth mindset and team-player attitude by helping the team raise the bar on code quality, architecture, and day-to-day operations. Job Requirements: Strong experience with backend architecture and development. Experience working on highly scalable production systems. Demonstrated problem-solving and software engineering skills. Takes care to ensure that the product always meets user expectations. Strong understanding of software engineering best practices, such as SOLID, Design Patterns, TDD, CI/CD. Is eager to both learn and share their knowledge by engaging in respectful and constructive conversation. Familiarity with modern PHP and the Symfony framework. Open source contributions. Experience leading complex, highly scalable production systems. Experience with data processing and storage (e.g., MySQL, MongoDB, Redis, Kafka, Elastic). High-level understanding of cryptography concepts such as key exchange and the difference between symmetric and asymmetric encryption. Our team's tech stack: PHP / Symfony MySQL Redis Typescript React Docker What We Offer: Office First: Collaboration is easier and more effective in person, which is why we have offices in Geneva, Zurich, Prague, Barcelona, Paris, London, Vilnius, Skopje, and Taipei. You can also enjoy working from home up to 30% of the time, while enjoying great company during our three core days in the office. Depending on the role, fully remote positions may also be available. Technology: We provide all the devices and software you need to excel in your role, ensuring you have the best tools at your disposal to achieve your goals. Food: Lunch and snacks are provided by Proton every day at our offices. Transport: We will always support our employees with transport costs through subsidizing public transport, bike allowances, or parking spaces based on your office location. Stock Options: At Proton, we are all owners of the company and you get stock options when you join us. Flexible Working: You can define your own working hours as long as it works with team meetings. Learning and Development: We are committed to your professional growth. Proton offers various learning opportunities, including training programs, conferences and events, and continual learning. Employee Benefits: Comprehensive health insurance plans, competitive retirement savings options, generous vacation and leave policies, and wellness programs. Work that Matters: Proton is a community-first organization, started with the support of a crowdfunding campaign and built with community input. To this day, Proton's only source of revenue is user subscriptions. Over 100 million people trust and support Proton, and we put our users and community first in everything we do. Our Commitment to Diversity and Inclusion: At Proton, we believe diversity drives innovation and strengthens our mission to provide privacy as a default for all. We are committed to fostering an inclusive environment where all individuals, regardless of race, ethnicity, gender, age, sexual orientation, physical ability, or socio-economic background, feel valued and empowered. We strive to create equal opportunities, promote open dialogue, and support continuous learning to ensure every voice is heard and respected. If you need any extra support or reasonable adjustments during the hiring process, please let your talent partner know.
Senior Data Scientist Location: London What is VEED.IO At VEED, our mission is to make video creation accessible to anyone. No hard-to-use equipment, painful learning curve, or keeping track of multiple subscriptions to take your ideas from record share. With VEED, you can do this with a single tool. In just a few years, we've gone from one user to millions. From no revenue to $30M+ ARR. From bootstrapped to backed by Sequoia , one of the biggest VC firms in the world. From a team of two to a team of 180+. And we're seeking more talented, motivated and entrepreneurial individuals to join our growing team. Where And How We Work At VEED we are hybrid, enabling teams and individuals to design their day and integrate work and life. We require 1 day a week in office for London and Amsterdam-based employees and you have flexibility to decide which day. About the team The Data organization at VEED are stewards for organizational knowledge. We are accountable for ensuring data provides value to internal staff and customers through data driven products, analytics, and processes and platforms. Our vision for data is to inspire and create a data driven culture at VEED. We recognise that data, analytics, or reports are never the purpose. They are tools that aid the deepening of understanding. About the role Here at VEED, we're constantly tackling complex problems to keep building our product in a way that our users love. As a Senior Data Scientist at VEED, you'll work closely with the Product, Data and Business Operations & Strategy team, to leverage data to help us solve some of the biggest strategic projects and questions in our business. For example: How changing our pricing structure will impact MRR and Retention? What customer segments or personas do we have in each of our plans? What is the best metric we should track for product experiment X? What main KPI drivers and levers do we have for Retention and Churn? How can we leverage our financial data to build a detailed dashboard to help the whole company understand what's going on? You'll sit at the intersection of data & analytics, product, and finance to help us make sense of these critical questions. And you will have great scope to take your career at VEED in whichever way you are most excited! What you will do Reports: Detailed reports that provide in-depth analysis of specific business problems, trends, and opportunities. Development and deployment of predictive models that forecast future trends, customer behaviours, and business outcomes. Custom machine learning algorithms tailored to address specific business challenges, such as recommendation systems, fraud detection, or customer segmentation. Efficient data pipelines that automate the extraction, transformation, and loading (ETL) of data from various sources into a centralised data repository. Cleaned and preprocessed datasets that are ready for analysis, ensuring high data quality and reliability. EDA reports that uncover hidden patterns, correlations, and insights within the data, often presented with visualisations. Analyses that quantify the impact of data science initiatives on business metrics, demonstrating ROI and value. Design and analysis of A/B tests to validate the effectiveness of changes in products, features, or marketing strategies. Comprehensive documentation of methodologies, models, code, and data workflows to ensure reproducibility and knowledge sharing. Clear and compelling presentations that communicate complex data insights and findings to non-technical stakeholders. Automated reporting systems that provide regular updates on key metrics and insights without manual intervention. Optimization models and solutions that improve business processes, resource allocation, and operational efficiency. Training sessions and workshops to upskill team members and promote data literacy within the organisation. Detailed analyses that provide deep insights into customer behaviours, preferences, and lifetime value. Systems to detect and alert on anomalies in business operations, helping to mitigate risks and address issues promptly. Promote a data-driven culture and fluency across the company here at VEED! About You Previous experience in a data science role, delivering insightful and actionable solutions. You probably have 3-5 years of experience, but this isn't set in stone! Strong statistical background / education in a quantitative discipline. We use BigQuery, Fivetran, Amplitude, Metabase, hex and dbt amongst other things for our data stack, so experience here would be beneficial, however, experience in similar tools (if not these ones) is a must-have Being a Python guru is a must-have. We'd be really excited if you knew SQL and a bit of devops too. A good understanding and experience running and interpreting A/B testing Thorough knowledge of data models and algorithms - you'll own the process of determining the impact of experiments on our KPIs A track record of success - either demonstrated through promotions at work or through other activities! Possess strategic thinking skills to identify market trends, competitive landscapes, and opportunities for product innovation Highly detail-oriented with a passion for problem-solving - and a bias for taking action Strong communication, interpersonal and presentation skills (both written and verbal) What we offer Monthly subsidy programme: Different people have different needs and therefore value different benefits. Providing this as a subsidy allows you to have the greatest flexibility to apply to what you value most - whether that be to offset the cost of a co-working space, office furniture, childcare, gym membership, etc. Unlimited paid holidays: We value that you get more time with your family and friends. Home office set-up: We have an IT Equipment program to make sure your home office is adequately setup with IT equipment including laptops, monitors, headsets/earbuds, keyboards and more! Mental health benefit : We've partnered with Spill to provide all our employees with confidential mental health support.
Jan 21, 2025
Full time
Senior Data Scientist Location: London What is VEED.IO At VEED, our mission is to make video creation accessible to anyone. No hard-to-use equipment, painful learning curve, or keeping track of multiple subscriptions to take your ideas from record share. With VEED, you can do this with a single tool. In just a few years, we've gone from one user to millions. From no revenue to $30M+ ARR. From bootstrapped to backed by Sequoia , one of the biggest VC firms in the world. From a team of two to a team of 180+. And we're seeking more talented, motivated and entrepreneurial individuals to join our growing team. Where And How We Work At VEED we are hybrid, enabling teams and individuals to design their day and integrate work and life. We require 1 day a week in office for London and Amsterdam-based employees and you have flexibility to decide which day. About the team The Data organization at VEED are stewards for organizational knowledge. We are accountable for ensuring data provides value to internal staff and customers through data driven products, analytics, and processes and platforms. Our vision for data is to inspire and create a data driven culture at VEED. We recognise that data, analytics, or reports are never the purpose. They are tools that aid the deepening of understanding. About the role Here at VEED, we're constantly tackling complex problems to keep building our product in a way that our users love. As a Senior Data Scientist at VEED, you'll work closely with the Product, Data and Business Operations & Strategy team, to leverage data to help us solve some of the biggest strategic projects and questions in our business. For example: How changing our pricing structure will impact MRR and Retention? What customer segments or personas do we have in each of our plans? What is the best metric we should track for product experiment X? What main KPI drivers and levers do we have for Retention and Churn? How can we leverage our financial data to build a detailed dashboard to help the whole company understand what's going on? You'll sit at the intersection of data & analytics, product, and finance to help us make sense of these critical questions. And you will have great scope to take your career at VEED in whichever way you are most excited! What you will do Reports: Detailed reports that provide in-depth analysis of specific business problems, trends, and opportunities. Development and deployment of predictive models that forecast future trends, customer behaviours, and business outcomes. Custom machine learning algorithms tailored to address specific business challenges, such as recommendation systems, fraud detection, or customer segmentation. Efficient data pipelines that automate the extraction, transformation, and loading (ETL) of data from various sources into a centralised data repository. Cleaned and preprocessed datasets that are ready for analysis, ensuring high data quality and reliability. EDA reports that uncover hidden patterns, correlations, and insights within the data, often presented with visualisations. Analyses that quantify the impact of data science initiatives on business metrics, demonstrating ROI and value. Design and analysis of A/B tests to validate the effectiveness of changes in products, features, or marketing strategies. Comprehensive documentation of methodologies, models, code, and data workflows to ensure reproducibility and knowledge sharing. Clear and compelling presentations that communicate complex data insights and findings to non-technical stakeholders. Automated reporting systems that provide regular updates on key metrics and insights without manual intervention. Optimization models and solutions that improve business processes, resource allocation, and operational efficiency. Training sessions and workshops to upskill team members and promote data literacy within the organisation. Detailed analyses that provide deep insights into customer behaviours, preferences, and lifetime value. Systems to detect and alert on anomalies in business operations, helping to mitigate risks and address issues promptly. Promote a data-driven culture and fluency across the company here at VEED! About You Previous experience in a data science role, delivering insightful and actionable solutions. You probably have 3-5 years of experience, but this isn't set in stone! Strong statistical background / education in a quantitative discipline. We use BigQuery, Fivetran, Amplitude, Metabase, hex and dbt amongst other things for our data stack, so experience here would be beneficial, however, experience in similar tools (if not these ones) is a must-have Being a Python guru is a must-have. We'd be really excited if you knew SQL and a bit of devops too. A good understanding and experience running and interpreting A/B testing Thorough knowledge of data models and algorithms - you'll own the process of determining the impact of experiments on our KPIs A track record of success - either demonstrated through promotions at work or through other activities! Possess strategic thinking skills to identify market trends, competitive landscapes, and opportunities for product innovation Highly detail-oriented with a passion for problem-solving - and a bias for taking action Strong communication, interpersonal and presentation skills (both written and verbal) What we offer Monthly subsidy programme: Different people have different needs and therefore value different benefits. Providing this as a subsidy allows you to have the greatest flexibility to apply to what you value most - whether that be to offset the cost of a co-working space, office furniture, childcare, gym membership, etc. Unlimited paid holidays: We value that you get more time with your family and friends. Home office set-up: We have an IT Equipment program to make sure your home office is adequately setup with IT equipment including laptops, monitors, headsets/earbuds, keyboards and more! Mental health benefit : We've partnered with Spill to provide all our employees with confidential mental health support.
About the role At Tesco, we believe in the power of spending more time together, face to face, than apart. So, during your working week, you can expect to spend 60% of your time in one of our office locations or local sites and the rest remotely. We also recognise that life looks a little different for each of us. Some people are at the start of their careers, some want the freedom to do the things they love. Others are going through life-changing moments like becoming a carer, nearing retirement, adapting to parenthood, or something else. That's why at Tesco, we always welcome a conversation about flexible working. So, talk to us throughout your application about how we can support. At Tesco Technology, we have an outstanding opportunity for an experienced Machine Learning Senior Data Scientist to join our team where you will be working on our Online programmes (Search, Personalisation & Recommendations). You will take a lead role in helping to redesign our customers' engagement on our groceries website. By applying sophisticated technologies like semantic search and transformer models, you will play a pivotal role in improving the search functionality for millions of customers across multiple countries. This position allows someone to quickly make a meaningful impact and contribute to the seamless operation of our supply chain, transport, and delivery operations. About the Team You will join a world-class team of data science professionals who are passionate about solving sophisticated business problems and deploying data products at scale. Our team works across various areas of our business, personalising our customers' experience across all touchpoints, both online and in-store. We are committed to personal and career development, providing on-desk training, support, and dedicating 10% of your working week to learning and professional growth. Additionally, there are opportunities to attend and speak at external and internal events, encouraging individual growth as experts in the field. Our team values work-life balance, team days, and cultivates a relaxed yet engaging culture. This role can be based out of either our London (Farringdon) office or Welwyn Garden City office depending on your home location, offering the flexibility of hybrid working. Spend three days a week in the office and the remainder working from home. You will be responsible for As a Senior Data Scientist, you will influence our personalisation and search experience on the Tesco website by utilising advanced technologies and collaborating with a team of seasoned Data Scientists, Machine Learning Engineers, and Software Engineers. You will drive innovation and take ownership of projects. You will be responsible for: Applying, modifying, and designing machine learning algorithms and models for information retrieval and re-ranking. Advising on the systems architecture, Machine Learning components, and associated technologies. Using data to train and fine-tune models. Developing efficient and high-quality code in Software Engineering. Collaborating closely with Search Engineers, ML Engineers, and Data Scientists. Promoting data science internally and effectively communicating sophisticated solutions to non-technical colleagues. You will need To excel in this role, we are seeking high-reaching individuals with a strong blend of Machine Learning and Software Engineering skills. The following requirements are important: Previously worked as a Data Scientist or Senior Data Scientist with a strong Machine Learning background. Experience working on Semantic Search projects, personalisation or recommendation projects would be an excellent addition. Strong coding skills, preferably in Python and a solid grasp of effective methods in Engineering, including version control, development driven by testing, and Continuous Integration. Extensive knowledge and hands-on expertise with Deep Learning approaches, including modern language models based on transformer architecture. PhD in a relevant field such as Mathematics, Engineering or Computer Science. Join our Technology team and be part of a world-class team that is crafting the future of retail technology! Apply now to seize this ambitious opportunity. What's in it for you We're all about the little helps. That's why we make sure our Tesco colleague benefits package takes care of you - both in and out of work. Click Here to find out more! Annual bonus scheme of up to 20% of base salary. Holiday starting at 25 days plus a personal day (plus Bank holidays). Private medical insurance. 26 weeks maternity and adoption leave (after 1 years' service) at full pay, followed by 13 weeks of Statutory Maternity Pay or Statutory Adoption Pay. We also offer 6 weeks fully paid paternity leave. Free 24/7 virtual GP service, Employee Assistance Programme (EAP) for you and your family, free access to a range of experts to support your mental wellbeing. About us Our vision at Tesco is to become every customer's favourite way to shop, whether they are at home or out on the move. Our core purpose is 'Serving our customers, communities and planet a little better every day'. Serving means more than a transactional relationship with our customers. It means acting as a responsible and sustainable business for all stakeholders, for the communities we are part of and for the planet. Diversity, equity and inclusion (DE&I) at Tesco means that whoever you are and whatever your background, we always want you to feel represented and that you can be yourself at work. In short, we're a place where Everyone's Welcome . We're proud to have been accredited Disability Confident Leader and we're committed to providing a fully inclusive and accessible recruitment process. For further information on the accessibility support we can offer, please click here . We're a big business and we can offer a range of diverse full-time & part-time working patterns across our many business areas, which means that we can find something that works for you. We work in a more blended pattern - combining office and remote working. Our offices will continue to be where we connect, collaborate and innovate.
Jan 21, 2025
Full time
About the role At Tesco, we believe in the power of spending more time together, face to face, than apart. So, during your working week, you can expect to spend 60% of your time in one of our office locations or local sites and the rest remotely. We also recognise that life looks a little different for each of us. Some people are at the start of their careers, some want the freedom to do the things they love. Others are going through life-changing moments like becoming a carer, nearing retirement, adapting to parenthood, or something else. That's why at Tesco, we always welcome a conversation about flexible working. So, talk to us throughout your application about how we can support. At Tesco Technology, we have an outstanding opportunity for an experienced Machine Learning Senior Data Scientist to join our team where you will be working on our Online programmes (Search, Personalisation & Recommendations). You will take a lead role in helping to redesign our customers' engagement on our groceries website. By applying sophisticated technologies like semantic search and transformer models, you will play a pivotal role in improving the search functionality for millions of customers across multiple countries. This position allows someone to quickly make a meaningful impact and contribute to the seamless operation of our supply chain, transport, and delivery operations. About the Team You will join a world-class team of data science professionals who are passionate about solving sophisticated business problems and deploying data products at scale. Our team works across various areas of our business, personalising our customers' experience across all touchpoints, both online and in-store. We are committed to personal and career development, providing on-desk training, support, and dedicating 10% of your working week to learning and professional growth. Additionally, there are opportunities to attend and speak at external and internal events, encouraging individual growth as experts in the field. Our team values work-life balance, team days, and cultivates a relaxed yet engaging culture. This role can be based out of either our London (Farringdon) office or Welwyn Garden City office depending on your home location, offering the flexibility of hybrid working. Spend three days a week in the office and the remainder working from home. You will be responsible for As a Senior Data Scientist, you will influence our personalisation and search experience on the Tesco website by utilising advanced technologies and collaborating with a team of seasoned Data Scientists, Machine Learning Engineers, and Software Engineers. You will drive innovation and take ownership of projects. You will be responsible for: Applying, modifying, and designing machine learning algorithms and models for information retrieval and re-ranking. Advising on the systems architecture, Machine Learning components, and associated technologies. Using data to train and fine-tune models. Developing efficient and high-quality code in Software Engineering. Collaborating closely with Search Engineers, ML Engineers, and Data Scientists. Promoting data science internally and effectively communicating sophisticated solutions to non-technical colleagues. You will need To excel in this role, we are seeking high-reaching individuals with a strong blend of Machine Learning and Software Engineering skills. The following requirements are important: Previously worked as a Data Scientist or Senior Data Scientist with a strong Machine Learning background. Experience working on Semantic Search projects, personalisation or recommendation projects would be an excellent addition. Strong coding skills, preferably in Python and a solid grasp of effective methods in Engineering, including version control, development driven by testing, and Continuous Integration. Extensive knowledge and hands-on expertise with Deep Learning approaches, including modern language models based on transformer architecture. PhD in a relevant field such as Mathematics, Engineering or Computer Science. Join our Technology team and be part of a world-class team that is crafting the future of retail technology! Apply now to seize this ambitious opportunity. What's in it for you We're all about the little helps. That's why we make sure our Tesco colleague benefits package takes care of you - both in and out of work. Click Here to find out more! Annual bonus scheme of up to 20% of base salary. Holiday starting at 25 days plus a personal day (plus Bank holidays). Private medical insurance. 26 weeks maternity and adoption leave (after 1 years' service) at full pay, followed by 13 weeks of Statutory Maternity Pay or Statutory Adoption Pay. We also offer 6 weeks fully paid paternity leave. Free 24/7 virtual GP service, Employee Assistance Programme (EAP) for you and your family, free access to a range of experts to support your mental wellbeing. About us Our vision at Tesco is to become every customer's favourite way to shop, whether they are at home or out on the move. Our core purpose is 'Serving our customers, communities and planet a little better every day'. Serving means more than a transactional relationship with our customers. It means acting as a responsible and sustainable business for all stakeholders, for the communities we are part of and for the planet. Diversity, equity and inclusion (DE&I) at Tesco means that whoever you are and whatever your background, we always want you to feel represented and that you can be yourself at work. In short, we're a place where Everyone's Welcome . We're proud to have been accredited Disability Confident Leader and we're committed to providing a fully inclusive and accessible recruitment process. For further information on the accessibility support we can offer, please click here . We're a big business and we can offer a range of diverse full-time & part-time working patterns across our many business areas, which means that we can find something that works for you. We work in a more blended pattern - combining office and remote working. Our offices will continue to be where we connect, collaborate and innovate.
INTERNAL AUDIT In Internal Audit, we ensure that Goldman Sachs maintains effective controls by assessing the reliability of financial reports, monitoring the firm's compliance with laws and regulations, and advising management on developing smart control solutions. Our group has unique insight on the financial industry and its products and operations. We're looking for detail-oriented team players who have an interest in financial markets and want to gain insight into the firm's operations and control processes. TEAM OVERVIEW Goldman Sachs Internal Auditors demonstrate strong risk and control mindsets, analytical, exercise professional scepticism, and are able to challenge and discuss effectively with management on risks and control measures. We look for individuals who enjoy learning about audit, businesses and functions, have innovative and creative mindsets to adopt analytical techniques to enhance audit techniques, building relationships and are able to evolve and thrive in teamwork and in a fast-paced global environment. Goldman Sachs Internal Audit comprises individuals from diverse backgrounds including chartered accountants, developers, risk management professionals, cybersecurity professionals, and data scientists. We are organized into global teams comprising business and technology auditors to cover all the firm's businesses and functions, including securities, investment banking, consumer and investment management, risk management, finance, cyber-security and technology risk, and engineering. THE ROLE AND RESPONSIBILITIES As the third line of defense, Internal Audit's mission is to independently assess the firm's internal control structure, including the firm's governance processes and controls, and risk management and capital and anti-financial crime frameworks, raise awareness of control risk and monitor the implementation of management's control measures. In doing so, Internal Audit perform the following duties: Communicates and reports on the effectiveness of the firm's governance, risk management and controls that mitigate current and evolving risk Raise awareness of control risk Assesses the firm's control culture and conduct risks Monitors management's implementation of control measures Additional responsibilities include: Develop and maintain an in-depth understanding of business areas, its products, and supporting functions Plan and execute audit testing to ensure audit fieldwork is focused on the right areas and documentation meets high quality standards Identify risks, assess mitigating controls, and make recommendations on improving the control environment Prepare commercially effective audit conclusions and findings, and present to IA senior management and business clients Follow-up on open audit issues and their resolution Participate in department-wide initiatives aimed at continually improving IA's processes and supporting infrastructure SKILLS AND EXPERIENCE REQUIRED 7+ years of experience in a public accounting or internal audit role within the financial services industry or a related control function In-depth technical knowledge of key risks and associated controls within the Wealth Management industry Strong leadership, interpersonal, and relationship management skills Strong verbal and written communication skills Highly motivated with the ability to multi-task and remain organized in a fast-paced environment Relevant certification or industry accreditation (e.g., ACA, ACCA) is a plus
Jan 21, 2025
Full time
INTERNAL AUDIT In Internal Audit, we ensure that Goldman Sachs maintains effective controls by assessing the reliability of financial reports, monitoring the firm's compliance with laws and regulations, and advising management on developing smart control solutions. Our group has unique insight on the financial industry and its products and operations. We're looking for detail-oriented team players who have an interest in financial markets and want to gain insight into the firm's operations and control processes. TEAM OVERVIEW Goldman Sachs Internal Auditors demonstrate strong risk and control mindsets, analytical, exercise professional scepticism, and are able to challenge and discuss effectively with management on risks and control measures. We look for individuals who enjoy learning about audit, businesses and functions, have innovative and creative mindsets to adopt analytical techniques to enhance audit techniques, building relationships and are able to evolve and thrive in teamwork and in a fast-paced global environment. Goldman Sachs Internal Audit comprises individuals from diverse backgrounds including chartered accountants, developers, risk management professionals, cybersecurity professionals, and data scientists. We are organized into global teams comprising business and technology auditors to cover all the firm's businesses and functions, including securities, investment banking, consumer and investment management, risk management, finance, cyber-security and technology risk, and engineering. THE ROLE AND RESPONSIBILITIES As the third line of defense, Internal Audit's mission is to independently assess the firm's internal control structure, including the firm's governance processes and controls, and risk management and capital and anti-financial crime frameworks, raise awareness of control risk and monitor the implementation of management's control measures. In doing so, Internal Audit perform the following duties: Communicates and reports on the effectiveness of the firm's governance, risk management and controls that mitigate current and evolving risk Raise awareness of control risk Assesses the firm's control culture and conduct risks Monitors management's implementation of control measures Additional responsibilities include: Develop and maintain an in-depth understanding of business areas, its products, and supporting functions Plan and execute audit testing to ensure audit fieldwork is focused on the right areas and documentation meets high quality standards Identify risks, assess mitigating controls, and make recommendations on improving the control environment Prepare commercially effective audit conclusions and findings, and present to IA senior management and business clients Follow-up on open audit issues and their resolution Participate in department-wide initiatives aimed at continually improving IA's processes and supporting infrastructure SKILLS AND EXPERIENCE REQUIRED 7+ years of experience in a public accounting or internal audit role within the financial services industry or a related control function In-depth technical knowledge of key risks and associated controls within the Wealth Management industry Strong leadership, interpersonal, and relationship management skills Strong verbal and written communication skills Highly motivated with the ability to multi-task and remain organized in a fast-paced environment Relevant certification or industry accreditation (e.g., ACA, ACCA) is a plus
Senior Scientist - Human Centric Security Research 12 month contract (possible extension) Newport - 3 days onsite per week £45 per hour, inside IR35 (umbrella) Subject to BPSS check Accountabilities This jobholder undertakes cutting edge digital security research and innovation activities with the ultimate goal of developing solutions to the business problems for which a solution doesn t currently exist. Further, the jobholder builds and maintains awareness and knowledge of best-practice technology trends and commercially available digital security solutions. The following accountabilities are described giving the scope of their applicability: The jobholder will be accountable for activities in each of the following areas: Coordination : Coordinate Cyber Security innovation across the business to maximise alignment. Build and maintain a working network across the business among subject matter peers and stakeholders. Undertake internal & external engagements on behalf of the digital security office. Collaboration : Collaborate in Cyber Security innovation activities with internal peers, to ensure cyber security is considered in joint projects and deliverables. Consultancy : Provide consultancy services on your specialist area of Cyber Security innovation across the business to ensure knowledge transfer and ensure. Innovation : Deliver innovation projects, activity reports and presentations to cost, quality and time constraints. Build and maintain a research network to support the specialist Cyber Security subject. Support the development and maintenance of a Cyber Innovation Roadmap for your specialist area to capture future threats, opportunities and potential projects. Main activities Coordination : Provide significant contributions to the transition of innovation knowledge and technologies into the business and digital security operations, including training, presentations and reports. Participate in a group-wide cyber innovation steering body. Attend and contribute to conferences and events (business / academic). Collaboration : Support external digital security innovation agreements, collaborations and partnerships with specialist subject expertise and industrial / context-of-use guidance. Provide expert services (consultancy) to the internal business on the specialist cyber subject, and as required. Consultancy : Contribute knowledge and advice on cyber aspects of your specialist topic to internal peers across the business and digital security operations. Manage onboarding and offboarding from projects for optimal use of time and resources. Innovation : Undertake state of the art research projects into digital security topics of interest in support of the business, in partnership with the other members of the Cyber Security Innovation team. Maintain awareness of marketed solutions, innovation and gaps, then address gaps by developing and internally marketing prototype solutions. Collaborate with academic partners on research, and provide industrial steering. Contribute to academic funding bids, internally and with academic contacts. Publish technical reports, white papers, patents, academic articles, etc. Outputs Prototype solutions, software, configurations, shared expertise. Horizon scans, market studies, technical reports. Internal & external proposals. Profile We are looking for a friendly, enthusiastic, well organised and self-motivated colleague with a personal drive to analyse, innovate and create. The eventual role holder will substantially align with the following criteria (in particular with the Must Haves ). Academic : Must Have : Bachelors degree in Artificial Intelligence / Machine Learning. Recent PhD or Masters relevant to _Cyber Security of AI ML_. Advantage : Professional training / certifications and experience in Cyber Security. Experience : Must Have : Deep AI/ML algorithm and application knowledge (ideally Cyber aspects) Experience of research, innovation and/or solution development. Advantage : Experience of managing digital security and/or R&I projects. Cyber industry publication (blogs, SANS articles etc). Experience in Cybersecurity of AI / ML. Experience in AI / ML applied to Cyber Security. Experience of patent applications and intellectual property management Research Skills : Must Have : Excellent report writing and presentation skills. Excellent spoken and written English. Advantage : Academic publication track record. Recent Cyber Security research publications. Managing NDAs, IPR, Patent Applications. Spoken & written French / German. Technical skills : Must Have : Technical specialist in AI / ML techniques. Advantage : Data Analytics / AI/ML applied to Cyber Security (tools & techniques). AI/ML vulnerabilities. Software development / scripting / web apps, e.g. Python, Rust.
Jan 20, 2025
Contractor
Senior Scientist - Human Centric Security Research 12 month contract (possible extension) Newport - 3 days onsite per week £45 per hour, inside IR35 (umbrella) Subject to BPSS check Accountabilities This jobholder undertakes cutting edge digital security research and innovation activities with the ultimate goal of developing solutions to the business problems for which a solution doesn t currently exist. Further, the jobholder builds and maintains awareness and knowledge of best-practice technology trends and commercially available digital security solutions. The following accountabilities are described giving the scope of their applicability: The jobholder will be accountable for activities in each of the following areas: Coordination : Coordinate Cyber Security innovation across the business to maximise alignment. Build and maintain a working network across the business among subject matter peers and stakeholders. Undertake internal & external engagements on behalf of the digital security office. Collaboration : Collaborate in Cyber Security innovation activities with internal peers, to ensure cyber security is considered in joint projects and deliverables. Consultancy : Provide consultancy services on your specialist area of Cyber Security innovation across the business to ensure knowledge transfer and ensure. Innovation : Deliver innovation projects, activity reports and presentations to cost, quality and time constraints. Build and maintain a research network to support the specialist Cyber Security subject. Support the development and maintenance of a Cyber Innovation Roadmap for your specialist area to capture future threats, opportunities and potential projects. Main activities Coordination : Provide significant contributions to the transition of innovation knowledge and technologies into the business and digital security operations, including training, presentations and reports. Participate in a group-wide cyber innovation steering body. Attend and contribute to conferences and events (business / academic). Collaboration : Support external digital security innovation agreements, collaborations and partnerships with specialist subject expertise and industrial / context-of-use guidance. Provide expert services (consultancy) to the internal business on the specialist cyber subject, and as required. Consultancy : Contribute knowledge and advice on cyber aspects of your specialist topic to internal peers across the business and digital security operations. Manage onboarding and offboarding from projects for optimal use of time and resources. Innovation : Undertake state of the art research projects into digital security topics of interest in support of the business, in partnership with the other members of the Cyber Security Innovation team. Maintain awareness of marketed solutions, innovation and gaps, then address gaps by developing and internally marketing prototype solutions. Collaborate with academic partners on research, and provide industrial steering. Contribute to academic funding bids, internally and with academic contacts. Publish technical reports, white papers, patents, academic articles, etc. Outputs Prototype solutions, software, configurations, shared expertise. Horizon scans, market studies, technical reports. Internal & external proposals. Profile We are looking for a friendly, enthusiastic, well organised and self-motivated colleague with a personal drive to analyse, innovate and create. The eventual role holder will substantially align with the following criteria (in particular with the Must Haves ). Academic : Must Have : Bachelors degree in Artificial Intelligence / Machine Learning. Recent PhD or Masters relevant to _Cyber Security of AI ML_. Advantage : Professional training / certifications and experience in Cyber Security. Experience : Must Have : Deep AI/ML algorithm and application knowledge (ideally Cyber aspects) Experience of research, innovation and/or solution development. Advantage : Experience of managing digital security and/or R&I projects. Cyber industry publication (blogs, SANS articles etc). Experience in Cybersecurity of AI / ML. Experience in AI / ML applied to Cyber Security. Experience of patent applications and intellectual property management Research Skills : Must Have : Excellent report writing and presentation skills. Excellent spoken and written English. Advantage : Academic publication track record. Recent Cyber Security research publications. Managing NDAs, IPR, Patent Applications. Spoken & written French / German. Technical skills : Must Have : Technical specialist in AI / ML techniques. Advantage : Data Analytics / AI/ML applied to Cyber Security (tools & techniques). AI/ML vulnerabilities. Software development / scripting / web apps, e.g. Python, Rust.
Title: Analytical Scientist Salary: £25,000 - £29,000 Location: South Yorkshire Contract Length & Start Date: Permanent & Immediate Are you looking for a new challenge in the lab and interested in opportunities in the diagnostics space? If so, an exciting and unique opportunity is now live with a leading IVD company in Yorkshire, looking to expand their operations and onboard staff within an analytical department. As an Analytical Scientist, you will be responsible for conducting validation and sample analysis projects focused on In-Vitro Diagnostic immunoassays to aid in producing high-quality IVD products to market. This will involve, monitoring equipment and stock, validation and calibration of equipment, and performing analytical studies. Responsibilities: Validation and calibration of lab equipment, as well as maintenance. Preparation of laboratory reagents and stock solutions. General upkeep and maintenance of lab areas and standards within the lab. Recording and presenting data to senior team members, all within GDP and GLP requirements. Monitor and maintain test equipment and stock levels. Perform analytical performance studies using a variety of analytical techniques in accordance with documented procedures, including: Analytical Sensitivity (LOD) Analytical Specificity (Interference & Cross Reactivity) Precision Matrix Equivalence Measuring Range (Hook Effect) Flex & Robustness Stability (Shelf Life, Shipping & In Use) Understanding all principal responsibilities and risks in relation to the job and work standards. Trained and adheres to health and safety instructions. Reports any hazards, risks and failings in procedures to ensure compliance and a safe working environment. Consistent in working to quality standards to deliver products and services, which meet regulatory and customer requirements. Understanding of responsibilities that comply with ISO 9001 & ISO 13485 QMS and processes. As well as regulatory requirements. About you: Relevant Degree in a Biological science or equivalent relevant experience. Experience in a lab setting either in industry or from studies. Excellent attention to detail, analytical skills and effective communication skills in both written and verbal capacities. Experience in working with immunoassays, such as ELISA. Desirable experience in working with an IVD environment or with lateral flow. Ability to work effectively in a team setting, and to own initiative with the ability to learn new tasks. If this vacancy is of interest, get in touch at: (url removed)
Jan 20, 2025
Full time
Title: Analytical Scientist Salary: £25,000 - £29,000 Location: South Yorkshire Contract Length & Start Date: Permanent & Immediate Are you looking for a new challenge in the lab and interested in opportunities in the diagnostics space? If so, an exciting and unique opportunity is now live with a leading IVD company in Yorkshire, looking to expand their operations and onboard staff within an analytical department. As an Analytical Scientist, you will be responsible for conducting validation and sample analysis projects focused on In-Vitro Diagnostic immunoassays to aid in producing high-quality IVD products to market. This will involve, monitoring equipment and stock, validation and calibration of equipment, and performing analytical studies. Responsibilities: Validation and calibration of lab equipment, as well as maintenance. Preparation of laboratory reagents and stock solutions. General upkeep and maintenance of lab areas and standards within the lab. Recording and presenting data to senior team members, all within GDP and GLP requirements. Monitor and maintain test equipment and stock levels. Perform analytical performance studies using a variety of analytical techniques in accordance with documented procedures, including: Analytical Sensitivity (LOD) Analytical Specificity (Interference & Cross Reactivity) Precision Matrix Equivalence Measuring Range (Hook Effect) Flex & Robustness Stability (Shelf Life, Shipping & In Use) Understanding all principal responsibilities and risks in relation to the job and work standards. Trained and adheres to health and safety instructions. Reports any hazards, risks and failings in procedures to ensure compliance and a safe working environment. Consistent in working to quality standards to deliver products and services, which meet regulatory and customer requirements. Understanding of responsibilities that comply with ISO 9001 & ISO 13485 QMS and processes. As well as regulatory requirements. About you: Relevant Degree in a Biological science or equivalent relevant experience. Experience in a lab setting either in industry or from studies. Excellent attention to detail, analytical skills and effective communication skills in both written and verbal capacities. Experience in working with immunoassays, such as ELISA. Desirable experience in working with an IVD environment or with lateral flow. Ability to work effectively in a team setting, and to own initiative with the ability to learn new tasks. If this vacancy is of interest, get in touch at: (url removed)
We are looking for a Senior Business Information Analyst to join our client working in Ipswich, Suffolk. This client is working a hybrid model and you can expect to report to the office 2/3 times a week. The purpose of this role is to help delivery or our data strategy, including supporting data-driven decision making processes across the organisation, optimising internla processes, and assisting with management information reports. Key Accountabilities Data Collection and Management Collaborate with data engineers to gather and organize data from various sources, both internal and external, including cloud-based platforms and on-premises databases such as SQL, Microsoft Dynamics, MongoDB, GA4, BigQuery, and third-party connectors. Use SQL to query and manipulate large datasets efficiently, helping design schemas and tables within the data lake's medallion architecture. Ensure data accuracy and consistency by cleaning, validating, and preprocessing datasets, addressing issues like missing data, outliers, and duplicates. Continuously expand a multi-layered reporting structure, integrating transactional, product, contact, and account-related datasets to deliver a comprehensive customer view for both technical and non-technical stakeholders. Ensure compliance with data privacy and security regulations, including GDPR and CCPA. Data Analysis and Insights Apply statistical techniques to analyze client and prospect data, identifying key patterns, trends, and anomalies to support strategic decision-making and commercial outcomes. Develop client segments based on demographics, transactions, engagement levels, and other factors, creating tailored personas for deeper customer understanding. Create detailed profiles of customer groups, highlighting preferences, needs, and pain points. Analyze client feedback and survey data, correlating it with digital engagement and transactional metrics to identify areas for improvement. Build predictive models to forecast client behavior, including responses to marketing campaigns, churn, service changes, and customer movement within service tiers. Data Visualization and Reporting Design and maintain interactive dashboards and reports using PowerBI, supporting the migration and reconfiguration of SSRS reports into PowerBI dashboards. Translate complex data into clear and actionable visualizations for stakeholders. Contribute to the creation and refinement of reporting style guides to ensure alignment with brand identity and best practices. Stakeholder Collaboration and Support Collaborate closely with data engineers to ensure seamless data flow and work with data scientists on advanced analytics, predictive modeling, AI, and machine learning projects. Work with cross-functional teams, including advisers, product development, IT, and marketing, to ensure data insights shape future product strategies. Partner with stakeholders to identify and address pain points, optimizing processes to scale the business, reduce costs, and enhance client satisfaction. Participate in a data analyst rotation program, working within various business units to provide technical expertise, training, and support in accessing, interpreting, and visualizing data for reporting and analytics, fostering a collaborative and innovative data culture. Skills & Qualifications required: 2 years experience in an analytical role with exposure to statistical analysis and data modelling techniques, and be comfortable with large datasets (Essential) Experience in SQL, PowerBI, Python (Essential) Will have advanced Excel skills (Essential) Degree-educated in a relavant subject (Desirable) Experience with Git operations, GitHub copilot and CI/CD flows (Desirable) Will be an effective communicator and able to work with stakeholders cross-functionally Knowledge of cloud computing platforms, in particular Azure Databricks, ETL and ELT processes, as well as experience with big data technologies and frameworks a plus
Jan 20, 2025
Full time
We are looking for a Senior Business Information Analyst to join our client working in Ipswich, Suffolk. This client is working a hybrid model and you can expect to report to the office 2/3 times a week. The purpose of this role is to help delivery or our data strategy, including supporting data-driven decision making processes across the organisation, optimising internla processes, and assisting with management information reports. Key Accountabilities Data Collection and Management Collaborate with data engineers to gather and organize data from various sources, both internal and external, including cloud-based platforms and on-premises databases such as SQL, Microsoft Dynamics, MongoDB, GA4, BigQuery, and third-party connectors. Use SQL to query and manipulate large datasets efficiently, helping design schemas and tables within the data lake's medallion architecture. Ensure data accuracy and consistency by cleaning, validating, and preprocessing datasets, addressing issues like missing data, outliers, and duplicates. Continuously expand a multi-layered reporting structure, integrating transactional, product, contact, and account-related datasets to deliver a comprehensive customer view for both technical and non-technical stakeholders. Ensure compliance with data privacy and security regulations, including GDPR and CCPA. Data Analysis and Insights Apply statistical techniques to analyze client and prospect data, identifying key patterns, trends, and anomalies to support strategic decision-making and commercial outcomes. Develop client segments based on demographics, transactions, engagement levels, and other factors, creating tailored personas for deeper customer understanding. Create detailed profiles of customer groups, highlighting preferences, needs, and pain points. Analyze client feedback and survey data, correlating it with digital engagement and transactional metrics to identify areas for improvement. Build predictive models to forecast client behavior, including responses to marketing campaigns, churn, service changes, and customer movement within service tiers. Data Visualization and Reporting Design and maintain interactive dashboards and reports using PowerBI, supporting the migration and reconfiguration of SSRS reports into PowerBI dashboards. Translate complex data into clear and actionable visualizations for stakeholders. Contribute to the creation and refinement of reporting style guides to ensure alignment with brand identity and best practices. Stakeholder Collaboration and Support Collaborate closely with data engineers to ensure seamless data flow and work with data scientists on advanced analytics, predictive modeling, AI, and machine learning projects. Work with cross-functional teams, including advisers, product development, IT, and marketing, to ensure data insights shape future product strategies. Partner with stakeholders to identify and address pain points, optimizing processes to scale the business, reduce costs, and enhance client satisfaction. Participate in a data analyst rotation program, working within various business units to provide technical expertise, training, and support in accessing, interpreting, and visualizing data for reporting and analytics, fostering a collaborative and innovative data culture. Skills & Qualifications required: 2 years experience in an analytical role with exposure to statistical analysis and data modelling techniques, and be comfortable with large datasets (Essential) Experience in SQL, PowerBI, Python (Essential) Will have advanced Excel skills (Essential) Degree-educated in a relavant subject (Desirable) Experience with Git operations, GitHub copilot and CI/CD flows (Desirable) Will be an effective communicator and able to work with stakeholders cross-functionally Knowledge of cloud computing platforms, in particular Azure Databricks, ETL and ELT processes, as well as experience with big data technologies and frameworks a plus
This is an exciting opportunity based in Wolverhampton, where you will play a pivotal role in driving revenue strategies and influencing business growth. This Senior Data Scientist position will position you at the heart of revenue optimisation, offering you the chance to make a significant impact on a company renowned for its innovative practices. Role Responsibilities In the role of Senior Data Scientist, you will take on the challenge of enhancing revenue operations through well-informed data-driven strategies. - Support the creation and enhancement of the Revenue Management System (RMS). - Provide accurate data inputs to support revenue forecasting. - Engage in advanced analysis to bolster algorithmic pricing strategies. - Conduct thorough testing, simulation, and real-life A/B analysis to gauge impacts. - Deliver analytical insights to assist cluster revenue managers in hotels and drive market share growth in pubs. About You The ideal candidate for the Senior Data Scientist role will bring a combination of analytical acumen and passion for data-driven decision-making. - Solid understanding of pricing problems, revenue management, and data science concepts. - Degree in a quantitative discipline such as Mathematics, Statistics, or Economics. - Strong competencies in statistical modelling and mathematical analysis. - Proven expertise in forecasting and optimisation techniques. - At least two years of experience in industries like airlines, hotels, retail, car rental, or e-commerce. About the Company Our client is a well-established organisation known for pushing the boundaries of innovation and excellence within their field. With a strategic focus on using data as a catalyst for growth, they are at the forefront of implementing cutting-edge revenue management practices. This company prides itself on creating robust frameworks that enable continual advancements, setting a high standard in their sector. Perks and Benefits The Senior Data Scientist will enjoy dynamic perks and benefits as part of this offer. - Opportunities for professional growth and career progression. - Exposure to innovative projects and advanced data methodologies. - Collaborative working environment with industry leaders. - Flexible working arrangements to support work-life balance. - Competitive salary package with comprehensive benefits. Next Steps If you are keen on taking your career to the next level as a Senior Data Scientist, we encourage you to apply. Join a team where your analytical skills will drive tangible business success and growth. Embrace the opportunity to contribute to a forward-thinking organisation known for its commitment to excellence.
Jan 20, 2025
Full time
This is an exciting opportunity based in Wolverhampton, where you will play a pivotal role in driving revenue strategies and influencing business growth. This Senior Data Scientist position will position you at the heart of revenue optimisation, offering you the chance to make a significant impact on a company renowned for its innovative practices. Role Responsibilities In the role of Senior Data Scientist, you will take on the challenge of enhancing revenue operations through well-informed data-driven strategies. - Support the creation and enhancement of the Revenue Management System (RMS). - Provide accurate data inputs to support revenue forecasting. - Engage in advanced analysis to bolster algorithmic pricing strategies. - Conduct thorough testing, simulation, and real-life A/B analysis to gauge impacts. - Deliver analytical insights to assist cluster revenue managers in hotels and drive market share growth in pubs. About You The ideal candidate for the Senior Data Scientist role will bring a combination of analytical acumen and passion for data-driven decision-making. - Solid understanding of pricing problems, revenue management, and data science concepts. - Degree in a quantitative discipline such as Mathematics, Statistics, or Economics. - Strong competencies in statistical modelling and mathematical analysis. - Proven expertise in forecasting and optimisation techniques. - At least two years of experience in industries like airlines, hotels, retail, car rental, or e-commerce. About the Company Our client is a well-established organisation known for pushing the boundaries of innovation and excellence within their field. With a strategic focus on using data as a catalyst for growth, they are at the forefront of implementing cutting-edge revenue management practices. This company prides itself on creating robust frameworks that enable continual advancements, setting a high standard in their sector. Perks and Benefits The Senior Data Scientist will enjoy dynamic perks and benefits as part of this offer. - Opportunities for professional growth and career progression. - Exposure to innovative projects and advanced data methodologies. - Collaborative working environment with industry leaders. - Flexible working arrangements to support work-life balance. - Competitive salary package with comprehensive benefits. Next Steps If you are keen on taking your career to the next level as a Senior Data Scientist, we encourage you to apply. Join a team where your analytical skills will drive tangible business success and growth. Embrace the opportunity to contribute to a forward-thinking organisation known for its commitment to excellence.
Senior Scientist - Industrial Control System Cyber Security 12 month contract (extension possible) Newport - 3 days onsite £45 per hour, inside IR35 (umbrella) Subject to BPSS check Accountabilities This jobholder will undertake cutting-edge digital security research and innovation activities with the ultimate goal of developing solutions to the business problems for which a solution doesn t currently exist. Furthermore, the jobholder will build and maintain awareness and knowledge of best-practice technology trends and commercially available digital security solutions. Accountable for activities in each of the following areas: Coordination : Coordinate Cyber Security innovation across the business to maximise alignment. Build and maintain a working network across the business among subject matter peers and stakeholders. Undertake internal & external engagements on behalf of the digital security office. Collaboration : Collaborate in Cyber Security innovation activities with internal peers, to ensure cyber security is considered in joint projects and deliverables. Consultancy : Provide consultancy services on your specialist area of Cyber Security innovation across the business to ensure knowledge transfer and ensure. Innovation : Deliver innovation projects, activity reports and presentations to cost, quality and time constraints. Build and maintain a research network to support the specialist Cyber Security subject. Support the development and maintenance of a Cyber Innovation Roadmap for your specialist area to capture future threats, opportunities and potential projects. Main activities Coordination : Provide significant contributions to the transition of innovation knowledge and technologies into internal business and digital security operations, including training, presentations and reports. Participate in a group-wide cyber innovation steering body. Attend and contribute to conferences and events (business / academic). Collaboration : Support external digital security innovation agreements, collaborations and partnerships with specialist subject expertise and industrial / context-of-use guidance. Provide expert services (consultancy) to the internal business on the specialist cyber subject, and as required. Consultancy : Contribute knowledge and advice on cyber aspects of your specialist topic to internal peers across the business and digital security operations. Manage onboarding and offboarding from projects for optimal use of time and resources. Innovation : Undertake state of the art research projects into digital security topics of interest in support of the business, in partnership with the other members of the Cyber Security Innovation team. Maintain awareness of marketed solutions, innovation and gaps, then address gaps by developing and internally marketing prototype solutions. Collaborate with academic partners on research, and provide industrial steering. Contribute to academic funding bids, internally and with academic contacts. Publish technical reports, white papers, patents, academic articles, etc. Outputs Prototype solutions, software, configurations, shared expertise. Horizon scans, market studies, technical reports. Internal & external proposals Profile We are looking for a friendly, enthusiastic, well organised and self-motivated colleague with a personal drive to analyse, innovate and create. The eventual role holder will substantially align with the following criteria (in particular with the Must Haves ). Academic : Must Have : Bachelors degree in Comp Sci, Comms & Networking, Cyber or similar. Recent PhD or Masters relevant to _ICS Cyber Security_. Advantage : Professional training / certifications and experience in Cyber Security. Experience : Must Have : Industrial Control Security Experience of research, innovation and/or solution development. Advantage : Experience of managing digital security and/or R&I projects. Cyber industry publication (blogs, SANS articles etc). Network Security, Cloud Security. Research Skills : Must Have : Excellent report writing and presentation skills. Excellent spoken and written English. Advantage : Academic publication track record. Recent Cyber Security research publications. Managing NDAs, IPR, Patent Applications. Spoken & written French / German. Technical skills : Advantage : Programming, esp. Python. Design & configuration of IP networks including virtualised infrastructure. Experience configuring network firewalls, IDS, IPS, Honeypots etc. Deep insight into network cyber attacks and their mitigation. Basic software development / scripting / web apps, e.g. Python, Rust. Certifications such as Cisco R&S / CCNA / CCNA-S Data Analytics / AI/ML applied to Network Security (tools & techniques).
Jan 20, 2025
Contractor
Senior Scientist - Industrial Control System Cyber Security 12 month contract (extension possible) Newport - 3 days onsite £45 per hour, inside IR35 (umbrella) Subject to BPSS check Accountabilities This jobholder will undertake cutting-edge digital security research and innovation activities with the ultimate goal of developing solutions to the business problems for which a solution doesn t currently exist. Furthermore, the jobholder will build and maintain awareness and knowledge of best-practice technology trends and commercially available digital security solutions. Accountable for activities in each of the following areas: Coordination : Coordinate Cyber Security innovation across the business to maximise alignment. Build and maintain a working network across the business among subject matter peers and stakeholders. Undertake internal & external engagements on behalf of the digital security office. Collaboration : Collaborate in Cyber Security innovation activities with internal peers, to ensure cyber security is considered in joint projects and deliverables. Consultancy : Provide consultancy services on your specialist area of Cyber Security innovation across the business to ensure knowledge transfer and ensure. Innovation : Deliver innovation projects, activity reports and presentations to cost, quality and time constraints. Build and maintain a research network to support the specialist Cyber Security subject. Support the development and maintenance of a Cyber Innovation Roadmap for your specialist area to capture future threats, opportunities and potential projects. Main activities Coordination : Provide significant contributions to the transition of innovation knowledge and technologies into internal business and digital security operations, including training, presentations and reports. Participate in a group-wide cyber innovation steering body. Attend and contribute to conferences and events (business / academic). Collaboration : Support external digital security innovation agreements, collaborations and partnerships with specialist subject expertise and industrial / context-of-use guidance. Provide expert services (consultancy) to the internal business on the specialist cyber subject, and as required. Consultancy : Contribute knowledge and advice on cyber aspects of your specialist topic to internal peers across the business and digital security operations. Manage onboarding and offboarding from projects for optimal use of time and resources. Innovation : Undertake state of the art research projects into digital security topics of interest in support of the business, in partnership with the other members of the Cyber Security Innovation team. Maintain awareness of marketed solutions, innovation and gaps, then address gaps by developing and internally marketing prototype solutions. Collaborate with academic partners on research, and provide industrial steering. Contribute to academic funding bids, internally and with academic contacts. Publish technical reports, white papers, patents, academic articles, etc. Outputs Prototype solutions, software, configurations, shared expertise. Horizon scans, market studies, technical reports. Internal & external proposals Profile We are looking for a friendly, enthusiastic, well organised and self-motivated colleague with a personal drive to analyse, innovate and create. The eventual role holder will substantially align with the following criteria (in particular with the Must Haves ). Academic : Must Have : Bachelors degree in Comp Sci, Comms & Networking, Cyber or similar. Recent PhD or Masters relevant to _ICS Cyber Security_. Advantage : Professional training / certifications and experience in Cyber Security. Experience : Must Have : Industrial Control Security Experience of research, innovation and/or solution development. Advantage : Experience of managing digital security and/or R&I projects. Cyber industry publication (blogs, SANS articles etc). Network Security, Cloud Security. Research Skills : Must Have : Excellent report writing and presentation skills. Excellent spoken and written English. Advantage : Academic publication track record. Recent Cyber Security research publications. Managing NDAs, IPR, Patent Applications. Spoken & written French / German. Technical skills : Advantage : Programming, esp. Python. Design & configuration of IP networks including virtualised infrastructure. Experience configuring network firewalls, IDS, IPS, Honeypots etc. Deep insight into network cyber attacks and their mitigation. Basic software development / scripting / web apps, e.g. Python, Rust. Certifications such as Cisco R&S / CCNA / CCNA-S Data Analytics / AI/ML applied to Network Security (tools & techniques).
Wagestream is on a mission to bring better financial wellbeing to frontline workers. We partner with some of the world's most famous employers, like Bupa, Burger King, Greene King and the mighty NHS to give their teams access to fairer financial services - all built around flexible pay. Over three million people can now choose how often they're paid, track their shifts and earnings, start saving, use budgeting tools, get free financial coaching, and access fairer financial products. All in one financial wellbeing super-app. Wagestream is unique: VC-backed and growing at scale-up pace, but with a social conscience. Some of the world's leading financial charities and impact funds were our founding investors, and we operate on a social charter - which means every product we build has to improve financial health and reduce the $5.6bn 'premium' lower-income earners pay for financial services each year. You'd be joining a team of over 200 passionate, ambitious people, across Europe and the USA, building a category-leading fintech product and all united by that same mission. The Opportunity: At Wagestream, we're revolutionising financial wellbeing by enabling access to flexible pay solutions that empower individuals to take control of their finances. In the process of delivering our products to over a million customers, we receive approximately 20,000 support tickets per month. We are now looking for a Senior Data Scientist to embed into our Operations team and lead on challenges such as: Ticket classification - Classifying the theme and problem area for each ticket Sentiment analysis - Determine customer satisfaction at the end of each ticket, and identify areas with systematically low satisfaction Automatic resolution - Developing custom models (using LLMs and other approaches) to automatically answer and resolve tickets Staff Tooling - Developing models that provide our own team with timely answers This role will have significant independence and autonomy, and will involve using tooling, methods and products at the cutting edge of applied machine learning. This role will involve exposure to several senior stakeholders, and is a great opportunity to accelerate your career. The Team: Sitting in the operations function you will report directly to the VP of Operations while collaborating heavily with Wagestream's Engineering, TechOps and Support teams to realise impactful solutions. What will you be doing? Lead End-to-End Machine Learning Projects for Ticket Classification Design and implement ML pipelines to accurately categorise 20,000 monthly support tickets Develop and maintain taxonomies for ticket themes and problem areas Monitor and improve classification accuracy through regular model evaluations Collaborate with support teams to validate classification results Drive Customer Sentiment Analysis Initiatives Build sentiment analysis models to track customer satisfaction trends Develop dashboards and reporting systems for sentiment tracking Identify systematic patterns in customer dissatisfaction Create early warning systems for declining satisfaction metrics Develop Automated Ticket Resolution Systems Research and implement appropriate LLM solutions for ticket automation Design fallback mechanisms and confidence thresholds for automated responses Monitor and optimise automation rates while maintaining quality Ensure compliance with security and privacy requirements Create Advanced Support Staff Tools Build ML-powered tools to assist support staff in ticket resolution Develop knowledge retrieval systems for quick answer suggestions Implement predictive models for ticket prioritisation Design intuitive interfaces for tool adoption Lead Stakeholder Engagement and Project Management Present findings and recommendations to senior leadership Define success metrics and track project outcomes Coordinate with cross-functional teams including Operations and Engineering Drive data-informed decision making across the organisation Maintain Technical Excellence and Innovation Stay current with latest developments in applied ML and LLMs Evaluate and implement new technologies and approaches Document technical solutions and best practices Mentor team members on ML/AI implementation What experience might you have? Must-haves: 7+ years of experience in applied data science, including 3+ years leading ML/AI projects in production environments Demonstrated experience building and deploying NLP/LLM systems at scale, including prompt engineering and fine-tuning Track record of architecting and implementing high-volume, real-time ML systems Experience optimising business operations using AI/ML, preferably in customer service or support functions History of leading cross-functional technical projects and influencing senior stakeholders Technical Expertise: Competent Python programming with focus on production-grade code and system architecture Deep experience with modern LLM frameworks (e.g., LangChain, OpenAI API) and ML frameworks (PyTorch, TensorFlow) Proven experience with MLOps, including monitoring, maintenance, and cost optimisation of production ML systems Strong knowledge of real-time data processing architectures and high-volume system design Experience implementing and maintaining customer-facing AI systems with strict SLA requirements Expertise in A/B testing and statistical analysis for model validation in production environments Leadership & Communication: Experience presenting to and influencing C-level stakeholders Track record of leading technical teams or mentoring junior data scientists Proven ability to translate complex technical concepts for non-technical audiences History of successful collaboration with product, engineering, and operations teams System Design & Architecture: Experience designing fault-tolerant, scalable ML systems Knowledge of cloud architecture (AWS/GCP/Azure) for large-scale ML deployments Understanding of cost optimisation strategies for LLM-based systems Experience with real-time monitoring and alerting systems Nice to have: Understanding of customer support operations, ticket management systems, and support workflows Experience with support ticket classification systems Knowledge of sentiment analysis and customer satisfaction metrics Background in developing internal tooling for support teams Experience with specific support platforms (Zendesk, Intercom, etc.) Salary: Dependant on experience, from £80,000 + bonus & equity Working Policy: Hybrid, with three office days per week Benefits: 25 Days Annual Leave in addition to public holidays (up to 5 day rollover), as well as flexible time off allowances for any ad-hoc childcare/family/caring needs 10 days Annual Leave Buy-Back scheme - for if you'd like some additional time off 12 weeks paid Maternity Leave and 4 weeks paid Paternity Leave for employees with over 12 months service Special Leave for In Vitro Fertilisation (IVF) and other fertility treatments Salary sacrifice to pension, as well as bonus exchange to Pension: reap even more rewards of any bonus by paying into your pension & save on Tax and NI + added compound growth The best benefit of all, access to Wagestream! Access to Salary Sacrifice Scheme - Ben -THE Benefits marketplace.Choose the benefits you want, when you want. Pay less tax, receive more value Additional: Additional Pension Payments Workplace nurseries Cycle to Work Gym memberships Medical or Life Insurance Healthcare cash plans, etc At Wagestream we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Wagestream is an equal opportunity workplace. We are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, or veteran status.
Jan 19, 2025
Full time
Wagestream is on a mission to bring better financial wellbeing to frontline workers. We partner with some of the world's most famous employers, like Bupa, Burger King, Greene King and the mighty NHS to give their teams access to fairer financial services - all built around flexible pay. Over three million people can now choose how often they're paid, track their shifts and earnings, start saving, use budgeting tools, get free financial coaching, and access fairer financial products. All in one financial wellbeing super-app. Wagestream is unique: VC-backed and growing at scale-up pace, but with a social conscience. Some of the world's leading financial charities and impact funds were our founding investors, and we operate on a social charter - which means every product we build has to improve financial health and reduce the $5.6bn 'premium' lower-income earners pay for financial services each year. You'd be joining a team of over 200 passionate, ambitious people, across Europe and the USA, building a category-leading fintech product and all united by that same mission. The Opportunity: At Wagestream, we're revolutionising financial wellbeing by enabling access to flexible pay solutions that empower individuals to take control of their finances. In the process of delivering our products to over a million customers, we receive approximately 20,000 support tickets per month. We are now looking for a Senior Data Scientist to embed into our Operations team and lead on challenges such as: Ticket classification - Classifying the theme and problem area for each ticket Sentiment analysis - Determine customer satisfaction at the end of each ticket, and identify areas with systematically low satisfaction Automatic resolution - Developing custom models (using LLMs and other approaches) to automatically answer and resolve tickets Staff Tooling - Developing models that provide our own team with timely answers This role will have significant independence and autonomy, and will involve using tooling, methods and products at the cutting edge of applied machine learning. This role will involve exposure to several senior stakeholders, and is a great opportunity to accelerate your career. The Team: Sitting in the operations function you will report directly to the VP of Operations while collaborating heavily with Wagestream's Engineering, TechOps and Support teams to realise impactful solutions. What will you be doing? Lead End-to-End Machine Learning Projects for Ticket Classification Design and implement ML pipelines to accurately categorise 20,000 monthly support tickets Develop and maintain taxonomies for ticket themes and problem areas Monitor and improve classification accuracy through regular model evaluations Collaborate with support teams to validate classification results Drive Customer Sentiment Analysis Initiatives Build sentiment analysis models to track customer satisfaction trends Develop dashboards and reporting systems for sentiment tracking Identify systematic patterns in customer dissatisfaction Create early warning systems for declining satisfaction metrics Develop Automated Ticket Resolution Systems Research and implement appropriate LLM solutions for ticket automation Design fallback mechanisms and confidence thresholds for automated responses Monitor and optimise automation rates while maintaining quality Ensure compliance with security and privacy requirements Create Advanced Support Staff Tools Build ML-powered tools to assist support staff in ticket resolution Develop knowledge retrieval systems for quick answer suggestions Implement predictive models for ticket prioritisation Design intuitive interfaces for tool adoption Lead Stakeholder Engagement and Project Management Present findings and recommendations to senior leadership Define success metrics and track project outcomes Coordinate with cross-functional teams including Operations and Engineering Drive data-informed decision making across the organisation Maintain Technical Excellence and Innovation Stay current with latest developments in applied ML and LLMs Evaluate and implement new technologies and approaches Document technical solutions and best practices Mentor team members on ML/AI implementation What experience might you have? Must-haves: 7+ years of experience in applied data science, including 3+ years leading ML/AI projects in production environments Demonstrated experience building and deploying NLP/LLM systems at scale, including prompt engineering and fine-tuning Track record of architecting and implementing high-volume, real-time ML systems Experience optimising business operations using AI/ML, preferably in customer service or support functions History of leading cross-functional technical projects and influencing senior stakeholders Technical Expertise: Competent Python programming with focus on production-grade code and system architecture Deep experience with modern LLM frameworks (e.g., LangChain, OpenAI API) and ML frameworks (PyTorch, TensorFlow) Proven experience with MLOps, including monitoring, maintenance, and cost optimisation of production ML systems Strong knowledge of real-time data processing architectures and high-volume system design Experience implementing and maintaining customer-facing AI systems with strict SLA requirements Expertise in A/B testing and statistical analysis for model validation in production environments Leadership & Communication: Experience presenting to and influencing C-level stakeholders Track record of leading technical teams or mentoring junior data scientists Proven ability to translate complex technical concepts for non-technical audiences History of successful collaboration with product, engineering, and operations teams System Design & Architecture: Experience designing fault-tolerant, scalable ML systems Knowledge of cloud architecture (AWS/GCP/Azure) for large-scale ML deployments Understanding of cost optimisation strategies for LLM-based systems Experience with real-time monitoring and alerting systems Nice to have: Understanding of customer support operations, ticket management systems, and support workflows Experience with support ticket classification systems Knowledge of sentiment analysis and customer satisfaction metrics Background in developing internal tooling for support teams Experience with specific support platforms (Zendesk, Intercom, etc.) Salary: Dependant on experience, from £80,000 + bonus & equity Working Policy: Hybrid, with three office days per week Benefits: 25 Days Annual Leave in addition to public holidays (up to 5 day rollover), as well as flexible time off allowances for any ad-hoc childcare/family/caring needs 10 days Annual Leave Buy-Back scheme - for if you'd like some additional time off 12 weeks paid Maternity Leave and 4 weeks paid Paternity Leave for employees with over 12 months service Special Leave for In Vitro Fertilisation (IVF) and other fertility treatments Salary sacrifice to pension, as well as bonus exchange to Pension: reap even more rewards of any bonus by paying into your pension & save on Tax and NI + added compound growth The best benefit of all, access to Wagestream! Access to Salary Sacrifice Scheme - Ben -THE Benefits marketplace.Choose the benefits you want, when you want. Pay less tax, receive more value Additional: Additional Pension Payments Workplace nurseries Cycle to Work Gym memberships Medical or Life Insurance Healthcare cash plans, etc At Wagestream we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Wagestream is an equal opportunity workplace. We are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, or veteran status.
You will need to login before you can apply for a job. SERM Scientific Director/ SERM Medical Director Sector: Health and Medical Role: Director Contract Type: Permanent Hours: Full Time Site Name: UK - London - New Oxford Street Posted Date: Dec Job Purpose This position supports, for example, one or more of the following Therapeutic Areas: Respiratory, Infectious Diseases/HIV, Hepatitis/Fibrosis, Neurology/Dementias. Provides in-depth medical/scientific expertise in the safety evaluation and risk management of key GSK assets or in clinical development and/or the post-marketing setting. Ensures scientifically sound review and interpretation of data and management of safety issues and escalates safety issues identified through the safety review process to senior management and safety governance as appropriate. Makes recommendations for the further characterization, management, and communication of safety risks. Focus on efficiency and effectiveness to meet the needs of our Patients and HCPs. Supporting the pharmacovigilance and benefit-risk management of the assigned portfolio of GSK global assets to ensure Patient Safety globally. Key Responsibilities Scientific/Medical Knowledge PV Expertise Leads Pharmacovigilance and Risk Management Planning and develops strategy for approach to evaluation of issues in the clinical matrix. Leads the safety component of global regulatory submissions. Expert evaluation skills and analytical thinking for literature review, clinical data synthesis, analysis and interpretation. Demonstrated track record of quality decision making and creative problem resolution, based on assessment of all relevant supporting and conflicting information/factors and understanding of the wider context. Demonstrates highly developed multi-tasking skills, ability to prioritise tasks and consistently delivers on deadlines, with high performance standards for quality. Explores positions and alternatives to reach mutually beneficial agreements and solutions. Cross-functional Matrix team leadership Leads safety governance by development of safety strategy and its execution for products in clinical development and post-marketing settings. Anticipates, detects and addresses product safety issues (e.g., product incidents) and ensures that risk-reduction strategies are implemented appropriately. Facilitates safety governance/SRTs in the clinical development and post-marketing settings by assisting in the establishment and operation of cross-functional teams in any SERM to detect and address product safety issues and ensures that risk-reduction strategies are implemented appropriately in clinical study protocols and/or product labelling. Represents GS on cross-functional Clinical Matrix Teams and/or Project Teams. Leads cross-functional ad hoc teams to address urgent and important product safety issues. Leads or participates in cross-functional process initiatives and/or Process Workstreams to drive efforts to improve adherence to regulations, data standards, quality and efficiency. Authors/participates in written standard updates (e.g., SOPs) to ensure policies and regulations are being adhered to correctly and consistently. Accountable for the escalation of issues and communication on safety matters (e.g., GSB, CHSLC, GLC, QPPV). Builds strong working relationships and displays excellent leadership skills on safety issues whilst working in a matrix team, with a demonstrated ability to lead a team in a matrix setting. Ability to coach and mentor others. Communications (verbal, written) and Influencing (internal PV Governance and External LTs) Leads presentations on recommendations or safety issues to senior staff members at the GSK Senior Governance Committees. Has the skillset to interact with confidence, credibility, and influence at all levels of the GSK organisation. In addition, is expected to represent GSK and contribute to safety-related discussions at meetings with regulatory authorities, outside consultants and other companies such as licensing partners. Leads cross-functional process improvement team within GSK. Thinks tactically/strategically and takes account of the internal and external environment when considering safety issues and changes to SERM processes or business improvements. Contributes to development of long-term strategy for clinical programs. Regularly contributes innovative ideas to address new issues or improve approaches to existing operations. Leads inspection readiness and prepared as needed to support audits/inspections. Excellent communication (verbal, written) and influencing (internally and externally) skills. Basic Qualifications: We are looking for professionals with these required skills to achieve our goals: Medical degree (for Medical Director) or PhamD/PhD for Scientist. Advanced experience in the Pharmaceutical or Biotech industry working in Pharmacovigilance, or Drug Safety. Significant pharmacovigilance experience relating to Safety Evaluation and Risk Management, encompassing both clinical development and post-marketing activities. Experience with Signal Detection and safety surveillance. Knowledge/experience of international pharmacovigilance requirements (e.g., ICH, GVP modules, CIOMS initiatives) and drug development and approval processes. Experience working in large matrix organizations. Why GSK? GSK is a global biopharma company with a special purpose - to unite science, technology and talent to get ahead of disease together - so we can positively impact the health of billions of people and deliver stronger, more sustainable shareholder returns - as an organisation where people can thrive. We prevent and treat disease with vaccines, specialty and general medicines. We focus on the science of the immune system and the use of new platform and data technologies, investing in four core therapeutic areas (infectious diseases, HIV, respiratory/immunology and oncology). Our success absolutely depends on our people. While getting ahead of disease together is about our ambition for patients and shareholders, it's also about making GSK a place where people can thrive. We want GSK to be a place where people feel inspired, encouraged and challenged to be the best they can be. A place where they can be themselves - feeling welcome, valued, and included. Where they can keep growing and look after their wellbeing. So, if you share our ambition, join us at this exciting moment in our journey to get Ahead Together. As an Equal Opportunity Employer, we are open to all talent. In the US, we also adhere to Affirmative Action principles. This ensures that all qualified applicants will receive equal consideration for employment without regard to neurodiversity, race/ethnicity, colour, national origin, religion, gender, pregnancy, marital status, sexual orientation, gender identity/expression, age, disability, genetic information, military service, covered/protected veteran status or any other federal, state or local protected class (US only). We believe in an agile working culture for all our roles. If flexibility is important to you, we encourage you to explore with our hiring team what the opportunities are. Should you require any adjustments to our process to assist you in demonstrating your strengths and capabilities contact us on or . The helpline is available from 8.30am to 12.00 noon Monday to Friday, during bank holidays these times and days may vary. Please note should your enquiry not relate to adjustments, we will not be able to support you through these channels. However, we have created a UK Recruitment FAQ guide. Click the link and scroll to the Careers Section where you will find answers to multiple questions we receive. As you apply, we will ask you to share some personal information which is entirely voluntary. We want to have an opportunity to consider a diverse pool of qualified candidates and this information will assist us in meeting that objective and in understanding how well we are doing against our inclusion and diversity ambitions. We would really appreciate it if you could take a few moments to complete it. Rest assured, Hiring Managers do not have access to this information and we will treat your information confidentially. Important notice to Employment businesses/ Agencies GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site. Please note that if you are a US Licensed Healthcare Professional or Healthcare Professional as defined by the laws of the state issuing your license . click apply for full job details
Jan 19, 2025
Full time
You will need to login before you can apply for a job. SERM Scientific Director/ SERM Medical Director Sector: Health and Medical Role: Director Contract Type: Permanent Hours: Full Time Site Name: UK - London - New Oxford Street Posted Date: Dec Job Purpose This position supports, for example, one or more of the following Therapeutic Areas: Respiratory, Infectious Diseases/HIV, Hepatitis/Fibrosis, Neurology/Dementias. Provides in-depth medical/scientific expertise in the safety evaluation and risk management of key GSK assets or in clinical development and/or the post-marketing setting. Ensures scientifically sound review and interpretation of data and management of safety issues and escalates safety issues identified through the safety review process to senior management and safety governance as appropriate. Makes recommendations for the further characterization, management, and communication of safety risks. Focus on efficiency and effectiveness to meet the needs of our Patients and HCPs. Supporting the pharmacovigilance and benefit-risk management of the assigned portfolio of GSK global assets to ensure Patient Safety globally. Key Responsibilities Scientific/Medical Knowledge PV Expertise Leads Pharmacovigilance and Risk Management Planning and develops strategy for approach to evaluation of issues in the clinical matrix. Leads the safety component of global regulatory submissions. Expert evaluation skills and analytical thinking for literature review, clinical data synthesis, analysis and interpretation. Demonstrated track record of quality decision making and creative problem resolution, based on assessment of all relevant supporting and conflicting information/factors and understanding of the wider context. Demonstrates highly developed multi-tasking skills, ability to prioritise tasks and consistently delivers on deadlines, with high performance standards for quality. Explores positions and alternatives to reach mutually beneficial agreements and solutions. Cross-functional Matrix team leadership Leads safety governance by development of safety strategy and its execution for products in clinical development and post-marketing settings. Anticipates, detects and addresses product safety issues (e.g., product incidents) and ensures that risk-reduction strategies are implemented appropriately. Facilitates safety governance/SRTs in the clinical development and post-marketing settings by assisting in the establishment and operation of cross-functional teams in any SERM to detect and address product safety issues and ensures that risk-reduction strategies are implemented appropriately in clinical study protocols and/or product labelling. Represents GS on cross-functional Clinical Matrix Teams and/or Project Teams. Leads cross-functional ad hoc teams to address urgent and important product safety issues. Leads or participates in cross-functional process initiatives and/or Process Workstreams to drive efforts to improve adherence to regulations, data standards, quality and efficiency. Authors/participates in written standard updates (e.g., SOPs) to ensure policies and regulations are being adhered to correctly and consistently. Accountable for the escalation of issues and communication on safety matters (e.g., GSB, CHSLC, GLC, QPPV). Builds strong working relationships and displays excellent leadership skills on safety issues whilst working in a matrix team, with a demonstrated ability to lead a team in a matrix setting. Ability to coach and mentor others. Communications (verbal, written) and Influencing (internal PV Governance and External LTs) Leads presentations on recommendations or safety issues to senior staff members at the GSK Senior Governance Committees. Has the skillset to interact with confidence, credibility, and influence at all levels of the GSK organisation. In addition, is expected to represent GSK and contribute to safety-related discussions at meetings with regulatory authorities, outside consultants and other companies such as licensing partners. Leads cross-functional process improvement team within GSK. Thinks tactically/strategically and takes account of the internal and external environment when considering safety issues and changes to SERM processes or business improvements. Contributes to development of long-term strategy for clinical programs. Regularly contributes innovative ideas to address new issues or improve approaches to existing operations. Leads inspection readiness and prepared as needed to support audits/inspections. Excellent communication (verbal, written) and influencing (internally and externally) skills. Basic Qualifications: We are looking for professionals with these required skills to achieve our goals: Medical degree (for Medical Director) or PhamD/PhD for Scientist. Advanced experience in the Pharmaceutical or Biotech industry working in Pharmacovigilance, or Drug Safety. Significant pharmacovigilance experience relating to Safety Evaluation and Risk Management, encompassing both clinical development and post-marketing activities. Experience with Signal Detection and safety surveillance. Knowledge/experience of international pharmacovigilance requirements (e.g., ICH, GVP modules, CIOMS initiatives) and drug development and approval processes. Experience working in large matrix organizations. Why GSK? GSK is a global biopharma company with a special purpose - to unite science, technology and talent to get ahead of disease together - so we can positively impact the health of billions of people and deliver stronger, more sustainable shareholder returns - as an organisation where people can thrive. We prevent and treat disease with vaccines, specialty and general medicines. We focus on the science of the immune system and the use of new platform and data technologies, investing in four core therapeutic areas (infectious diseases, HIV, respiratory/immunology and oncology). Our success absolutely depends on our people. While getting ahead of disease together is about our ambition for patients and shareholders, it's also about making GSK a place where people can thrive. We want GSK to be a place where people feel inspired, encouraged and challenged to be the best they can be. A place where they can be themselves - feeling welcome, valued, and included. Where they can keep growing and look after their wellbeing. So, if you share our ambition, join us at this exciting moment in our journey to get Ahead Together. As an Equal Opportunity Employer, we are open to all talent. In the US, we also adhere to Affirmative Action principles. This ensures that all qualified applicants will receive equal consideration for employment without regard to neurodiversity, race/ethnicity, colour, national origin, religion, gender, pregnancy, marital status, sexual orientation, gender identity/expression, age, disability, genetic information, military service, covered/protected veteran status or any other federal, state or local protected class (US only). We believe in an agile working culture for all our roles. If flexibility is important to you, we encourage you to explore with our hiring team what the opportunities are. Should you require any adjustments to our process to assist you in demonstrating your strengths and capabilities contact us on or . The helpline is available from 8.30am to 12.00 noon Monday to Friday, during bank holidays these times and days may vary. Please note should your enquiry not relate to adjustments, we will not be able to support you through these channels. However, we have created a UK Recruitment FAQ guide. Click the link and scroll to the Careers Section where you will find answers to multiple questions we receive. As you apply, we will ask you to share some personal information which is entirely voluntary. We want to have an opportunity to consider a diverse pool of qualified candidates and this information will assist us in meeting that objective and in understanding how well we are doing against our inclusion and diversity ambitions. We would really appreciate it if you could take a few moments to complete it. Rest assured, Hiring Managers do not have access to this information and we will treat your information confidentially. Important notice to Employment businesses/ Agencies GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site. Please note that if you are a US Licensed Healthcare Professional or Healthcare Professional as defined by the laws of the state issuing your license . click apply for full job details
About Fresha Fresha is the leading marketplace platform for beauty & wellness trusted by millions of consumers and businesses worldwide . Fresha is used by 110,000+ businesses and 450,000+ stylists and professionals worldwide , processing over 1 billion appointments to date . The company is headquartered in London, United Kingdom , with 12 global offices located across North America, EMEA and APAC. Fresha allows consumers to discover, book and pay for beauty and wellness appointments with local businesses via its marketplace, while beauty and wellness businesses and professionals use an all-in-one platform to manage their entire operations with an intuitive subscription-free business software and financial technology solutions. Fresha's ecosystem gives merchants everything they need to run their business seamlessly by facilitating appointment bookings, point-of-sale, customer records management, marketing automation, loyalty, beauty products inventory and team management. The consumer marketplace unlocks revenue potential for partner businesses by leveraging the power of online bookings and automated marketing through mobile apps and advanced integrations with major tech brands including Instagram , Facebook and Google. Role overview Given our exciting growth plans, we are looking for an exceptional Senior Finance Analyst to partner with our finance teams, especially our VPs of Accounting and Finance Strategy, to drive our financial strategy, scenario modelling, audit and accounting processes using our data platform. Your expertise will guide us in growing our revenue, making us more profitable, keeping us compliant, raising capital and identifying commercial opportunities across the business. Reporting into the Lead Commercial Analyst and working closely with Finance professionals, other Analysts, commercial teams, marketers and product managers, you will create data models, data products, metrics and find insights that fuel our growth and uncover new ways of thinking. This is a great opportunity for someone looking to work in a fast-paced and changing environment, who likes to work autonomously, enjoys a challenge and wants to make an impact. Accountabilities Develop and maintain models for fraud detection, image validation, recommendations and other ML use cases, both batch and real time Discover and prioritise new use cases for data science techniques across Fresha's product and workflows Prioritise your roadmap for maximum impact across different functions Mentor and coach an existing team of junior data scientists Collaborate closely with product, engineering, marketing and commercial teams to bring data science techniques to life You'll also work with the rest of the analytics team to find robust data sources and leverage existing capabilities, then develop new architectures only where needed. Key skills Technical Skills: You should be highly proficient with programming languages such as Python/ R and SQL. You should also have extensive experience with data mining, mathematics, and statistical analysis, with the capability to derive actionable insights from complex data sets. ML: You should have demonstrable experience applying data science methods to real-world data problems, particularly in building, deploying, and optimising machine learning models across a variety of projects. Commercial: You need a strong understanding of how data science fits into the wider business context, with the ability to use data insights to influence commercial strategies and decision-making. Your insights should be directly tied to improving business KPIs with ML models. Communication: Exceptional communication skills are needed. You should be comfortable explaining complex data insights in simple terms and persuasively communicating your findings to influence strategic decisions. Motivation: The ideal candidate is ambitious, determined, and self-motivated, able to navigate the fast-paced and dynamic environment at Fresha. Your ability to stay motivated, navigate challenges, and drive forward our analytics offering will be crucial for your success Preferred but not required: Familiarity with dbt and other data analysis tools would be a bonus Bonus points: Experience using cloud notebooks and AWS containerisation Experience with Streamlit Experience working in fast-paced scale ups Inclusive workforce At Fresha, we are creating a culture where individuals of all backgrounds feel comfortable. We want all Fresha people to feel included and truly empowered to contribute fully to our vision and goals. Everyone who applies will receive fair consideration for employment. We do not discriminate based on race, colour, religion, sex, sexual orientation, age, marital status, gender identity, national origin, disability, or any other applicable legally protected characteristics in the location in which the candidate is applying. If you have any accessibility requirements that would make you more comfortable during the interview process and/or once you join, please let us know so that we can support you.
Jan 18, 2025
Full time
About Fresha Fresha is the leading marketplace platform for beauty & wellness trusted by millions of consumers and businesses worldwide . Fresha is used by 110,000+ businesses and 450,000+ stylists and professionals worldwide , processing over 1 billion appointments to date . The company is headquartered in London, United Kingdom , with 12 global offices located across North America, EMEA and APAC. Fresha allows consumers to discover, book and pay for beauty and wellness appointments with local businesses via its marketplace, while beauty and wellness businesses and professionals use an all-in-one platform to manage their entire operations with an intuitive subscription-free business software and financial technology solutions. Fresha's ecosystem gives merchants everything they need to run their business seamlessly by facilitating appointment bookings, point-of-sale, customer records management, marketing automation, loyalty, beauty products inventory and team management. The consumer marketplace unlocks revenue potential for partner businesses by leveraging the power of online bookings and automated marketing through mobile apps and advanced integrations with major tech brands including Instagram , Facebook and Google. Role overview Given our exciting growth plans, we are looking for an exceptional Senior Finance Analyst to partner with our finance teams, especially our VPs of Accounting and Finance Strategy, to drive our financial strategy, scenario modelling, audit and accounting processes using our data platform. Your expertise will guide us in growing our revenue, making us more profitable, keeping us compliant, raising capital and identifying commercial opportunities across the business. Reporting into the Lead Commercial Analyst and working closely with Finance professionals, other Analysts, commercial teams, marketers and product managers, you will create data models, data products, metrics and find insights that fuel our growth and uncover new ways of thinking. This is a great opportunity for someone looking to work in a fast-paced and changing environment, who likes to work autonomously, enjoys a challenge and wants to make an impact. Accountabilities Develop and maintain models for fraud detection, image validation, recommendations and other ML use cases, both batch and real time Discover and prioritise new use cases for data science techniques across Fresha's product and workflows Prioritise your roadmap for maximum impact across different functions Mentor and coach an existing team of junior data scientists Collaborate closely with product, engineering, marketing and commercial teams to bring data science techniques to life You'll also work with the rest of the analytics team to find robust data sources and leverage existing capabilities, then develop new architectures only where needed. Key skills Technical Skills: You should be highly proficient with programming languages such as Python/ R and SQL. You should also have extensive experience with data mining, mathematics, and statistical analysis, with the capability to derive actionable insights from complex data sets. ML: You should have demonstrable experience applying data science methods to real-world data problems, particularly in building, deploying, and optimising machine learning models across a variety of projects. Commercial: You need a strong understanding of how data science fits into the wider business context, with the ability to use data insights to influence commercial strategies and decision-making. Your insights should be directly tied to improving business KPIs with ML models. Communication: Exceptional communication skills are needed. You should be comfortable explaining complex data insights in simple terms and persuasively communicating your findings to influence strategic decisions. Motivation: The ideal candidate is ambitious, determined, and self-motivated, able to navigate the fast-paced and dynamic environment at Fresha. Your ability to stay motivated, navigate challenges, and drive forward our analytics offering will be crucial for your success Preferred but not required: Familiarity with dbt and other data analysis tools would be a bonus Bonus points: Experience using cloud notebooks and AWS containerisation Experience with Streamlit Experience working in fast-paced scale ups Inclusive workforce At Fresha, we are creating a culture where individuals of all backgrounds feel comfortable. We want all Fresha people to feel included and truly empowered to contribute fully to our vision and goals. Everyone who applies will receive fair consideration for employment. We do not discriminate based on race, colour, religion, sex, sexual orientation, age, marital status, gender identity, national origin, disability, or any other applicable legally protected characteristics in the location in which the candidate is applying. If you have any accessibility requirements that would make you more comfortable during the interview process and/or once you join, please let us know so that we can support you.
Our Team The Data team is a cross-functional team of experienced and passionate data enthusiasts. We use and own modern data tools (Fivetran, Snowflake, dbt, Looker) and cover a diverse range of data problems and stakeholders. What we're offering you: Flexible hours and summer hours Competitive holiday benefits (25 days a year paid holiday, plus 8 bank holidays) Work from anywhere for 2 weeks a year Life Assurance to protect your loved ones Benefits allowance for health, dental, and vision coverage Defined Contribution Pension and Salary Sacrifice Scheme Be Well: Our award-winning wellbeing and mental health programme to support all MVFers and their families Family Forward support for our MVF parents and their mini-mes Free breakfast when in the office The Role MVF is seeking an exceptionally skilled and driven Data Scientist to deliver upon our plans for growth. This is a hybrid-role across Data Science and ML Engineering: we would like someone with either a background in machine learning engineering, but a desire to learn and grow in creating data science products or vice versa. You will be pivotal in building our Data Science and Machine Learning capabilities in order to hit our strategic goals. These are the problem spaces in our backlog: Recommendation systems - predicting cross-sell opportunities Imbalanced classification - predicting the value of leads Optimisation (e.g., Linear programming) - optimising which leads / products we sell to which client Forecasting - predicting client demand Experimentation You will be communicative, commercially-minded, with a strong team-spirit. You will enjoy collaborating with stakeholders, as you will be delivering value across the business, from Paid Marketing to Operations and Sales. Reporting to the Head of Data, you will collaborate closely with a Senior Data Scientist to deliver upon our roadmap. You will have support from Analytics Engineering teams to build and maintain pipelines and from Software Engineering teams to productionize models. The ideal candidate will relish the opportunity to understand their stakeholders more deeply and define where they think they (and Data Science) can add the most value. With support, they will be excited to build data science models from inception to production. Responsibilities: Build and manage a Machine Learning Platform by selecting and integrating tools that complement the existing data ecosystem (AWS, Snowflake) Productionise ML models, ensuring that they are running scalably, efficiently and robustly Develop Data Science/Machine Learning products addressing key business needs in accordance with ML best practices What Success Looks Like: Building effective and efficient Data Science models that deliver measurable business value Ensuring Machine Learning is executed using best-in-class tools, techniques, and approaches within budget and time constraints Ensuring exceptional data integrity and quality across all projects Develop ML monitoring and observability pipeline for deployed models Our Ideal MVF'er: 3+ years of experience in a dedicated Data Science/Machine Learning role; additional data or commercial experience is a plus Strong understanding of mathematical background, focusing on statistics and linear algebra Highly proficient in Python (Pandas, Scikit-Learn, PyTorch, PySpark) and SQL Experience with Snowflake (function & procedure) and Snowpark is a plus Experience with unit and integration tests Strong understanding of machine learning algorithms and best practices Vision for MLOps best practices, particularly regarding version control, Docker, MLFlow, CI/CD Strong communication skills, with the ability to engage effectively with diverse stakeholders Good commercial understanding; knowledge of marketing operations is a bonus
Jan 18, 2025
Full time
Our Team The Data team is a cross-functional team of experienced and passionate data enthusiasts. We use and own modern data tools (Fivetran, Snowflake, dbt, Looker) and cover a diverse range of data problems and stakeholders. What we're offering you: Flexible hours and summer hours Competitive holiday benefits (25 days a year paid holiday, plus 8 bank holidays) Work from anywhere for 2 weeks a year Life Assurance to protect your loved ones Benefits allowance for health, dental, and vision coverage Defined Contribution Pension and Salary Sacrifice Scheme Be Well: Our award-winning wellbeing and mental health programme to support all MVFers and their families Family Forward support for our MVF parents and their mini-mes Free breakfast when in the office The Role MVF is seeking an exceptionally skilled and driven Data Scientist to deliver upon our plans for growth. This is a hybrid-role across Data Science and ML Engineering: we would like someone with either a background in machine learning engineering, but a desire to learn and grow in creating data science products or vice versa. You will be pivotal in building our Data Science and Machine Learning capabilities in order to hit our strategic goals. These are the problem spaces in our backlog: Recommendation systems - predicting cross-sell opportunities Imbalanced classification - predicting the value of leads Optimisation (e.g., Linear programming) - optimising which leads / products we sell to which client Forecasting - predicting client demand Experimentation You will be communicative, commercially-minded, with a strong team-spirit. You will enjoy collaborating with stakeholders, as you will be delivering value across the business, from Paid Marketing to Operations and Sales. Reporting to the Head of Data, you will collaborate closely with a Senior Data Scientist to deliver upon our roadmap. You will have support from Analytics Engineering teams to build and maintain pipelines and from Software Engineering teams to productionize models. The ideal candidate will relish the opportunity to understand their stakeholders more deeply and define where they think they (and Data Science) can add the most value. With support, they will be excited to build data science models from inception to production. Responsibilities: Build and manage a Machine Learning Platform by selecting and integrating tools that complement the existing data ecosystem (AWS, Snowflake) Productionise ML models, ensuring that they are running scalably, efficiently and robustly Develop Data Science/Machine Learning products addressing key business needs in accordance with ML best practices What Success Looks Like: Building effective and efficient Data Science models that deliver measurable business value Ensuring Machine Learning is executed using best-in-class tools, techniques, and approaches within budget and time constraints Ensuring exceptional data integrity and quality across all projects Develop ML monitoring and observability pipeline for deployed models Our Ideal MVF'er: 3+ years of experience in a dedicated Data Science/Machine Learning role; additional data or commercial experience is a plus Strong understanding of mathematical background, focusing on statistics and linear algebra Highly proficient in Python (Pandas, Scikit-Learn, PyTorch, PySpark) and SQL Experience with Snowflake (function & procedure) and Snowpark is a plus Experience with unit and integration tests Strong understanding of machine learning algorithms and best practices Vision for MLOps best practices, particularly regarding version control, Docker, MLFlow, CI/CD Strong communication skills, with the ability to engage effectively with diverse stakeholders Good commercial understanding; knowledge of marketing operations is a bonus
Back Market is the world's leading refurbished electronics marketplace with a team of 650 people, powering operations in 18 countries (and counting!). Named one of the World's Most Innovative Companies by Fast Company in 2019 and again in 2021, our mission is simple: empowering people to consume tech sustainably by offering folks a high quality, accessible, and more eco-friendly alternative to buying new electronics. Why? Refurbished tech helps lower our collective environmental impact . We have indeed contributed to avoid the production of more than 1,000,000 tons of CO2e worldwide since our launch in 2014. Be part of an exciting and growing international adventure that will change the way the world consumes tech. ABOUT THE ROLE: We are looking for a strategic and highly skilled Marketing Analytics Lead to drive data-driven decision-making in our marketing initiatives. You will leverage your expertise in Marketing, Data analytics, martech & media tracking to unlock actionable insights and scale marketing strategies. This role is ideal for an analytical leader passionate about marketing data, cross-functional collaboration, and innovation. A proven record in impact measurement-such as evaluating multi-channel campaign effectiveness-is essential. If you thrive on crafting scalable data strategies and influencing decisions through analytics, keep reading-you're in the right place. YOUR MISSION (IF YOU ACCEPT IT): Marketing Analytics: Serve as the primary analytics partner for marketing managers, collaborating on our incrementality platform, measurement frameworks and data-driven strategies. Translate complex datasets into actionable insights, clearly presenting recommendations to senior leadership. Martech & Data Collection: Challenge our MarTech setup to collect, process and leverage marketing insights. Lead media tracking efforts to measure campaign effectiveness and ensure optimal ROI across channels. Ensure data quality, accuracy, and scalability while maintaining robust workflows. Analytics Engineering: Lead analytics engineers to build and optimize scalable data pipelines in BigQuery and support marketing analytics needs. Stakeholder Management: Partner with marketing, tech, product, and cross-functional teams to align data opportunities with business objectives. Maintain effective communication with stakeholders to ensure the delivery of data-driven solutions. Leadership: Cultivate the data culture and data-driven decision-making across the organisation. Lead and mentor a team of analysts, data scientists & analytics engineers to foster a high-performance culture. YOU ARE IN THE RIGHT PLACE IF: Minimum 7 years of experience in marketing analytics with proven experience in building & scaling incrementality platforms, brand measurement and media efficiency frameworks. Comprehensive knowledge of marketing strategies, including performance channels interactions, brand media, and online/offline activations. Strong understanding of web tracking and tagging strategy and implementation (GA, GTM, attribution). Proficiency with MarTech systems and their role in marketing analytics (CDP, CMP, Analytics tools, CRM platforms, MMP ). Strong ability to manage cross-functional teams and collaborate with diverse stakeholders. A proactive, results-driven approach to tackling analytics challenges in a fast-paced environment. Knowledge of data science applications for marketing, such as predictive modeling or clustering. Familiarity in BigQuery and advanced skills in data analytics. Excellent communication and project management skills, with the ability to simplify complex concepts. WHY SHOULD YOU JOIN US? A meaningful job: you will help avoid thousands of tons of electronic waste and fight against planned obsolescence. It counts! A meaningful company: we became a mission-driven company in January 2022. Be part of a worldwide growing company: based in Europe, the USA and Asia to face great challenges: you will have the freedom to innovate and adopt new ideas! Work alongside passionate experts: who will share their knowledge and help you develop and grow in your career. Grow your career: with a flexible career path and a dedicated Learning & Development team. Back Market will help you evolve with personalized internal trainings and external handpicked providers from day 1! Leadership Academy by Back Market: "be a coach not a dictator" is at the core of this program! We train and enable all our leaders to support their team towards achieving goals. Be a manager at Back Market is a unique experience we take by heart. An attractive salary, equity and a host of benefits including: Lunch voucher, health insurance, relocation package, paid time off for activism in your community, parental benefits, flexible hours, etc. Remote friendly company: up to 2 days of remote work per week! One Loving Tribe: you will have the opportunity to work in a fast-paced, open-minded and friendly environment. Be part of one of our Employee Resource Groups created around shared identities, common backgrounds and/or special interests crafted to be a safe space and an expressive outlet. Several internal events: The Monday Brief (weekly)/ The Somehands (monthly)/ The All Hands (annual). We're here to SABOTAGE: It's our mantra. It keeps us focused on what we aspire to be: a little bit sneaky, always smart, kinda frugal and constantly conspiring to create maximum impact. Back Market is an Equal Opportunity Employer which means we pledge to not discriminate against employees based on race, color, religion, sex, national origin, age, disability or genetic information. If reasonable accommodations are needed for the interview process, please do not hesitate to discuss this with the Talent Acquisition Team. Back Market is helping to address one of the biggest challenges of our time: climate change. We take this so seriously that we were awarded status as a "Société à Mission", or company with a social mission, by the French government. We know we can't tackle a global problem without a globally representative team so we are committed to embedding diversity, equity and inclusion principles in every aspect of our organization. But more importantly, being One Loving & Free Spirited Tribe is in our DNA as it is one of the five foundational values of our company since we got started way back in 2014. We are committed to hiring and supporting diverse teams of people from all backgrounds, experiences, and perspectives. We know our lofty goals cannot be reached unless everyone has a seat at the table along with the resources and opportunity to grow.
Jan 18, 2025
Full time
Back Market is the world's leading refurbished electronics marketplace with a team of 650 people, powering operations in 18 countries (and counting!). Named one of the World's Most Innovative Companies by Fast Company in 2019 and again in 2021, our mission is simple: empowering people to consume tech sustainably by offering folks a high quality, accessible, and more eco-friendly alternative to buying new electronics. Why? Refurbished tech helps lower our collective environmental impact . We have indeed contributed to avoid the production of more than 1,000,000 tons of CO2e worldwide since our launch in 2014. Be part of an exciting and growing international adventure that will change the way the world consumes tech. ABOUT THE ROLE: We are looking for a strategic and highly skilled Marketing Analytics Lead to drive data-driven decision-making in our marketing initiatives. You will leverage your expertise in Marketing, Data analytics, martech & media tracking to unlock actionable insights and scale marketing strategies. This role is ideal for an analytical leader passionate about marketing data, cross-functional collaboration, and innovation. A proven record in impact measurement-such as evaluating multi-channel campaign effectiveness-is essential. If you thrive on crafting scalable data strategies and influencing decisions through analytics, keep reading-you're in the right place. YOUR MISSION (IF YOU ACCEPT IT): Marketing Analytics: Serve as the primary analytics partner for marketing managers, collaborating on our incrementality platform, measurement frameworks and data-driven strategies. Translate complex datasets into actionable insights, clearly presenting recommendations to senior leadership. Martech & Data Collection: Challenge our MarTech setup to collect, process and leverage marketing insights. Lead media tracking efforts to measure campaign effectiveness and ensure optimal ROI across channels. Ensure data quality, accuracy, and scalability while maintaining robust workflows. Analytics Engineering: Lead analytics engineers to build and optimize scalable data pipelines in BigQuery and support marketing analytics needs. Stakeholder Management: Partner with marketing, tech, product, and cross-functional teams to align data opportunities with business objectives. Maintain effective communication with stakeholders to ensure the delivery of data-driven solutions. Leadership: Cultivate the data culture and data-driven decision-making across the organisation. Lead and mentor a team of analysts, data scientists & analytics engineers to foster a high-performance culture. YOU ARE IN THE RIGHT PLACE IF: Minimum 7 years of experience in marketing analytics with proven experience in building & scaling incrementality platforms, brand measurement and media efficiency frameworks. Comprehensive knowledge of marketing strategies, including performance channels interactions, brand media, and online/offline activations. Strong understanding of web tracking and tagging strategy and implementation (GA, GTM, attribution). Proficiency with MarTech systems and their role in marketing analytics (CDP, CMP, Analytics tools, CRM platforms, MMP ). Strong ability to manage cross-functional teams and collaborate with diverse stakeholders. A proactive, results-driven approach to tackling analytics challenges in a fast-paced environment. Knowledge of data science applications for marketing, such as predictive modeling or clustering. Familiarity in BigQuery and advanced skills in data analytics. Excellent communication and project management skills, with the ability to simplify complex concepts. WHY SHOULD YOU JOIN US? A meaningful job: you will help avoid thousands of tons of electronic waste and fight against planned obsolescence. It counts! A meaningful company: we became a mission-driven company in January 2022. Be part of a worldwide growing company: based in Europe, the USA and Asia to face great challenges: you will have the freedom to innovate and adopt new ideas! Work alongside passionate experts: who will share their knowledge and help you develop and grow in your career. Grow your career: with a flexible career path and a dedicated Learning & Development team. Back Market will help you evolve with personalized internal trainings and external handpicked providers from day 1! Leadership Academy by Back Market: "be a coach not a dictator" is at the core of this program! We train and enable all our leaders to support their team towards achieving goals. Be a manager at Back Market is a unique experience we take by heart. An attractive salary, equity and a host of benefits including: Lunch voucher, health insurance, relocation package, paid time off for activism in your community, parental benefits, flexible hours, etc. Remote friendly company: up to 2 days of remote work per week! One Loving Tribe: you will have the opportunity to work in a fast-paced, open-minded and friendly environment. Be part of one of our Employee Resource Groups created around shared identities, common backgrounds and/or special interests crafted to be a safe space and an expressive outlet. Several internal events: The Monday Brief (weekly)/ The Somehands (monthly)/ The All Hands (annual). We're here to SABOTAGE: It's our mantra. It keeps us focused on what we aspire to be: a little bit sneaky, always smart, kinda frugal and constantly conspiring to create maximum impact. Back Market is an Equal Opportunity Employer which means we pledge to not discriminate against employees based on race, color, religion, sex, national origin, age, disability or genetic information. If reasonable accommodations are needed for the interview process, please do not hesitate to discuss this with the Talent Acquisition Team. Back Market is helping to address one of the biggest challenges of our time: climate change. We take this so seriously that we were awarded status as a "Société à Mission", or company with a social mission, by the French government. We know we can't tackle a global problem without a globally representative team so we are committed to embedding diversity, equity and inclusion principles in every aspect of our organization. But more importantly, being One Loving & Free Spirited Tribe is in our DNA as it is one of the five foundational values of our company since we got started way back in 2014. We are committed to hiring and supporting diverse teams of people from all backgrounds, experiences, and perspectives. We know our lofty goals cannot be reached unless everyone has a seat at the table along with the resources and opportunity to grow.
Healthcare Businesswomens Association
Cambridge, Cambridgeshire
Job Description Summary The Global Head of Oncology Chemistry will be responsible for the oncology chemistry project portfolio. This role will report directly to the Head of Global Discovery Chemistry and will be a member of the senior leadership team of Global Discovery Chemistry and the Disease Area Decision Board, such as the Integrated Cancer Board. Job Description Internal Job Title: Global Head, Oncology Chemistry (Level 8/GJFA 1) Position Location: Onsite, Cambridge, MA About the Role: The Global Head of Oncology Chemistry will oversee the oncology chemistry project portfolio, reporting to the Head of Global Discovery Chemistry and participating in the senior leadership team of Global Discovery Chemistry and the Integrated Cancer Board. Key Responsibilities: Prioritize projects in the oncology chemistry portfolio in Basel and Cambridge and deliver development candidates. Define overall strategy in collaboration with the oncology leadership team and other stakeholders (GDC, PKS, PCS, TRD, etc). Contribute to basic research programs and influence the integration of new technologies to enhance productivity; facilitate biotech and academic collaborations to bring in-licensing and new scientific opportunities. Set scientific and cultural objectives for the chemistry department, ensure top-notch talent development and capability building to drive innovation, prioritize and plan resources. Act as a role model and mentor for all associates. Develop and coach the next generation of scientists and leaders. Propose and implement unit operations and budgets. Represent GDC at the Integrated Cancer Board (ICB) and Oncology Leadership team. Member of the global Discovery Chemistry Leadership Team (DCLT). Essential Requirements: Ph.D. in chemistry, the physical sciences, or a related field. Minimum of two years of post-doctoral experience in synthetic and/or medicinal chemistry or an equivalent field. Minimum of 10 years of drug discovery experience in an academic and/or pharmaceutical environment. Track record of delivering multiple development candidates. Experience in leading a large (>10) chemistry group. Desired Requirements: Experience in at least one disease area. Experience as a project leader, group leader, or department leader. Why Novartis: Our purpose is to reimagine medicine to improve and extend people's lives. Our vision is to become the most valued and trusted medicines company in the world. We achieve this through our people, who drive us each day to reach our ambitions. Be a part of this mission and join us! Commitment to Diversity and Inclusion / EEO: The Novartis Group of Companies is an Equal Opportunity Employer and takes pride in maintaining a diverse environment. We do not discriminate in recruitment, hiring, training, promotion, or other employment practices for reasons of race, color, religion, gender, national origin, age, sexual orientation, gender identity or expression, marital or veteran status, disability, or any other legally protected status. We are committed to building diverse teams, representative of the patients and communities we serve, and strive to create an inclusive workplace that cultivates bold innovation through collaboration. Salary Range: $270,400.00 - $405,600.00 Skills Desired: Analysis, Analytical Chemistry, Budget Control, Business Acumen, Chemical Analysis, Chemical Laboratory, Chemical Synthesis, Chemistry, Data Analysis, Drug Development, Drug Discovery, Emotional Intelligence (EQ), Employee Development, Innovation, Management Skills, Medicinal Chemistry, Organic Chemistry, Performance Management, Pharmaceutical Chemistry.
Jan 17, 2025
Full time
Job Description Summary The Global Head of Oncology Chemistry will be responsible for the oncology chemistry project portfolio. This role will report directly to the Head of Global Discovery Chemistry and will be a member of the senior leadership team of Global Discovery Chemistry and the Disease Area Decision Board, such as the Integrated Cancer Board. Job Description Internal Job Title: Global Head, Oncology Chemistry (Level 8/GJFA 1) Position Location: Onsite, Cambridge, MA About the Role: The Global Head of Oncology Chemistry will oversee the oncology chemistry project portfolio, reporting to the Head of Global Discovery Chemistry and participating in the senior leadership team of Global Discovery Chemistry and the Integrated Cancer Board. Key Responsibilities: Prioritize projects in the oncology chemistry portfolio in Basel and Cambridge and deliver development candidates. Define overall strategy in collaboration with the oncology leadership team and other stakeholders (GDC, PKS, PCS, TRD, etc). Contribute to basic research programs and influence the integration of new technologies to enhance productivity; facilitate biotech and academic collaborations to bring in-licensing and new scientific opportunities. Set scientific and cultural objectives for the chemistry department, ensure top-notch talent development and capability building to drive innovation, prioritize and plan resources. Act as a role model and mentor for all associates. Develop and coach the next generation of scientists and leaders. Propose and implement unit operations and budgets. Represent GDC at the Integrated Cancer Board (ICB) and Oncology Leadership team. Member of the global Discovery Chemistry Leadership Team (DCLT). Essential Requirements: Ph.D. in chemistry, the physical sciences, or a related field. Minimum of two years of post-doctoral experience in synthetic and/or medicinal chemistry or an equivalent field. Minimum of 10 years of drug discovery experience in an academic and/or pharmaceutical environment. Track record of delivering multiple development candidates. Experience in leading a large (>10) chemistry group. Desired Requirements: Experience in at least one disease area. Experience as a project leader, group leader, or department leader. Why Novartis: Our purpose is to reimagine medicine to improve and extend people's lives. Our vision is to become the most valued and trusted medicines company in the world. We achieve this through our people, who drive us each day to reach our ambitions. Be a part of this mission and join us! Commitment to Diversity and Inclusion / EEO: The Novartis Group of Companies is an Equal Opportunity Employer and takes pride in maintaining a diverse environment. We do not discriminate in recruitment, hiring, training, promotion, or other employment practices for reasons of race, color, religion, gender, national origin, age, sexual orientation, gender identity or expression, marital or veteran status, disability, or any other legally protected status. We are committed to building diverse teams, representative of the patients and communities we serve, and strive to create an inclusive workplace that cultivates bold innovation through collaboration. Salary Range: $270,400.00 - $405,600.00 Skills Desired: Analysis, Analytical Chemistry, Budget Control, Business Acumen, Chemical Analysis, Chemical Laboratory, Chemical Synthesis, Chemistry, Data Analysis, Drug Development, Drug Discovery, Emotional Intelligence (EQ), Employee Development, Innovation, Management Skills, Medicinal Chemistry, Organic Chemistry, Performance Management, Pharmaceutical Chemistry.