The Data Science job sector is a pivotal element of modern technological progress, transforming vast data streams into actionable insights and pioneering solutions. Within this vibrant field, Data Scientists spearhead efforts, navigating through complex datasets to detect patterns and forecast outcomes. In a more specialised area, Machine Learning Engineers utilise algorithms and models to enable machines to learn from and respond to data. Statisticians, with their sharp understanding of numbers, form the robust backbone of the sector, testing hypotheses and ensuring data accuracy. Additional roles, such as Data Visualisation Specialists, facilitate the translation of raw data into forms easily understood by humans, while Deep Learning Specialists extend the limits of machine perception and comprehension.
For those drawn to numbers, algorithms, and the narratives data can unfold, the Data Science sector offers a realm of limitless possibilities, challenges, and the prospect of driving future innovations.
You'll work within a team of data scientists and engineers, providing technical expertise while collaborating with cross-functional teams and stakeholders to deliver high-impact results. You'll also need experience with statistical modelling and machine learning techniques, as well as some knowledge of financial services.
Today, we are reimagining global financial services and building products that extend beyond traditional barriers to give customers access to more of the services they need, no matter where they call home. Employment is determined based upon personal capabilities and qualifications without discrimination on the basis of race, creed, color, religion, sex, gender identification and expression, marital status, military status or status as an honorably discharge/veteran, pregnancy (including a woman's potential to get pregnant, pregnancy-related conditions, and childbearing), sexual orientation, age (40 and over), national origin, ancestry, citizenship or immigration status, physical, mental, or sensory disability (including the use of a trained dog guide or service animal), HIV/AIDS or hepatitis C status, genetic information, status as an actual or perceived victim of domestic violence, sexual assault, or stalking, or any other protected class as established by law.
Role Purpose:
The incumbent of the role will support initiatives for Procurement and Supply Chain teams at Global level as well as communication and deployment across all Lonza sites. Participate in global projects to either implement or enhance systems and processes across the whole Procurement and Supply Chain organizations and ensure full accountability in the overall achievement. Technical expertise in analytical programming languages like R & Python and hands on experience on data mining/statistical tools like SAS, XLMiner and MatLab. People come to Lonza for the challenge and creativity of solving complex problems and developing new ideas in life sciences.
Key Experience:
• Expertise in data collection methods for reporting of ESG data (primarily Energy, Water & Waste data)
• Good knowledge of relevant standards from the GHG accounting (The GHG Protocol)
• Has an affinity with sustainability, data, programming and real estate-related issues
• Working knowledge and capability to support PowerBI reporting development (PowerBI build experience not required)
• Experience in using data management tools such as Python.
TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo. To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. The Trust & Safety (T&S) team at TikTok helps ensure that our global online community is safe and empowered to create and enjoy content across all of our applications. This may occur in the form of images, video, and text related to every-day life, but it can also include (but is not limited to) bullying; hate speech; child safety; depictions of harm to self and others, and harm to animals. Responsibilities
- Leading efforts in navigating XFN projects or requests, creating and implementing prioritisation and scoring models for better assessment, before developing systematic solutions as a pillar POC;
- Coordinating with your XFN and ADSO ( AI Data Service Ops) counterparts to ensure high-quality and consistent implementation of global projects in all regions;
- Conceptualising, designing, and implementing groundbreaking business models and pre-packaged services;
- Identifying areas of improvement and running improvement projects in all operational aspects globally. Preferred Qualifications
- Proficiency ( both written and verbal) in Mandarin and full proficiency in English due to working with the Chinese market. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach.
WHAT TO EXPECT
Finance are on a journey to become a digital world class organisation and have created an Analytics and AI team, within Finance Transformation, to rapidly accelerate the development and deployment of Finance & Entity Data Products. If you're unsure that you meet the full criteria of a role - but you're interested in where it could take you - we still encourage you to apply.
About the Role
As the founding member of our Threat Intelligence, Investigations and Data function in our AI Safety team, you will be at the forefront of our efforts to understand, detect and enforce against the nexus of complex adversarial threats and some of the most powerful tools in AI technology. That's why we offer early employees stock options as part of their compensation package. We currently have offices in NYC, London and Warsaw. You'll work on the state of the art surrounded by people with extraordinary skills and positive attitudes.
The research groups in RAND Europe boast a diverse portfolio, addressing key public policy challenges such as education and child welfare, health and wellbeing, geopolitical competition and national security, environment and climate change, technological innovation and disruption, among many others. Coordinate complex projects, mentor a team of talented data scientists and researchers, and drive the impact of our work through strategic communication and outreach. A track record of collaborative research and team motivation, with a focus on skills and career development. Experience applying data science methods and tools to support policy research and/or social sciences research
Eligibility for UK Security Clearance (SC) or Developed Vetting (DV). Team-oriented with a commitment to rigorous research and public service. )
Benefits
Please see our careers page for associate benefits for each location
How to Apply
If you believe you are suited to the above role, please submit an application comprising of a CV and covering letter.
About the role
Join us on a 12-month industrial placement to work with and learn from some of the best people in the energy industry! You must be in your penultimate year at university
Ideally, you'll have a valid full UK Driving Licence. The knowledge and understanding of how we keep the lights on that can be understood only within the National Energy System Operator have been the foundations for the careers of many of our company leaders.
Working across a vast array of data sets, channels and stakeholders they will work hand in hand with Product owners, Engineers and client-facing Analysts to develop and optimise the solution to support Nectar360's significant commerical growth. You should role model what great business behaviour looks like to the more junior members of the team, keeping an eye on the commercial impact of whatever we do whilst thinking how to frame and communicate this to the wider business, and bring stakeholders on the journey with them. Excellent communicator with the ability to explain complex analytical techniques to nontechnical audiences in a clear and positive manner and the implications of the results. We invest in training, development and multiple initiatives to ensure our teams feel enabled to offer the best shopping experience to our customers and that Sainsbury's is truly a 'Great Place to Work'.