The Data Scientist will be responsible for the design, development, and implementation of quantitative and data-driven models to drive innovation and productivity for origination, due diligence, and investment performance. 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.

Furthermore, you will also have the ability to tackle a project on your own and drive its progress from the initial brainstorm to the delivery of a production ready solution. Extras: £100 home equipment allowance, Cycle to Work & Tech Scheme Learning: Datatonic encourages continuous learning at all levels, with the freedom to explore the latest tools & technologies.

Analysts report to our Model Governance Manager and will assist with ensuring the firm complies with regional and global anti-terrorist financing, sanctions, AML, and securities laws and regulations related to Model Governance. Interacting with key model governance and other leadership stakeholders across Interactive Brokers around model risk during all model life cycle stages to ensure the effective governance and oversight of model identification, development, use, and evaluation processes. Knowledge of model risk related to AML, Sanctions and Market Manipulation. IBUK is part of a global group of financial services companies with over $12 billion in equity capital and publicly traded under the symbol "IBKR. Interactive Brokers (UK) values in promoting, monitoring, implementing best practices, policies and procedures and culture in adhering to and promoting the FCA Consumer Duty with the organisation.

It's about hitting the highest standards, and then raising the bar again. Purpose of the Role:  The purpose of this role is to use approaches and techniques from the field of Data Science to unlock new insights from our data, improve our effectiveness in car development and, ultimately, drive our performance forward on track. You will work on projects through all stages of the development life cycle from initial analysis and requirements gathering through to deployment and operational support. You need a keen desire to continue learning software development and data science, following the department's guiding principles, and a passion to use your skills to make the car faster. Business analysis of aerodynamic development processes including understanding the goals, the current problems, and then sharing your learning with the team. Experience with advanced data exploration techniques to understand underlying behaviour. Previous use of Docker and Kubenetes would be an advantage Some knowledge of web development techniques or of dashboarding libraries such as Streamlit. Open mindedness to ensure high flexibility and the capacity to manage rapid and profound changes of scopes, development directions and processes. Our ambition is to be the most pioneering and exhilarating racing team in the world, and our collective task is to set the standards for high performance in sport. We encourage and support diversity, equity and inclusion. Our state of the art, sustainable campus offers many facilities including a gym, restaurant and indoor and outdoor break-out areas, as well as direct access to park and common land. Hybrid working patterns give you options to balance your home life and outside interests with your work.

It's about hitting the highest standards, and then raising the bar again. Purpose of the Role:  The purpose of this role is to use approaches and techniques from the field of Data Science to unlock new insights from our data, improve our effectiveness in car development and, ultimately, drive our performance forward on track. You will work on projects through all stages of the development life cycle from initial analysis and requirements gathering through to deployment and operational support. You need a keen desire to continue learning data science theory and best practices, following the department's guiding principles, and a passion to use your skills to make the car faster. Understand and use provided data science, modeling, and optimisation techniques to implement analytical solutions to complex engineering problems. Knowledge of standard data science algorithms and techniques in regression and classification. Experience with MLOps, development and production pipelines and deployment frameworks. Basic knowledge of vehicle dynamics / aerodynamics and the development processes employed within F1. Our ambition is to be the most pioneering and exhilarating racing team in the world, and our collective task is to set the standards for high performance in sport. We encourage and support diversity, equity and inclusion. Our state of the art, sustainable campus offers many facilities including a gym, restaurant and indoor and outdoor break-out areas, as well as direct access to park and common land. Hybrid working patterns give you options to balance your home life and outside interests with your work.

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. About the Team We are on a mission to reshape the E-commerce landscape and here's a unique opportunity for a Human Resources Business Partner to support our business teams do just that. Partner with your assigned business unit(s) and ensure a deep understanding of business strategy and implement high-quality HR practices within the team. - Able to work successfully with ambiguity in a complex, fast paced and challenging business environment - Ready to embark journey in a fast pace environment and comfortable with change management. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach.

As a part of our dynamic team, you will have the opportunity to make a real impact and contribute to the success of our company.

Your key responsibilities will entail to: • Develop predictive models for biologics design as well as SAR analysis and visualization methods and integrate them into the in house in silico pipeline to enable multi-objective compound design and data-driven decision making. This position will be in our new London Office, at King's Cross, working in a hybrid model with 3 days working from the office. • Proven track record and in-depth knowledge in the development and application of AI/ML for de novo design and/or compound property predictions, preferably for biologics • Broad knowledge of cheminformatics, bioinformatics, and QSAR methods and experience with the development of related data analysis pipelines and visualization • Experience using protein modelling software such as Rosetta, Schrodinger and/or MOE. We need to aspire to be the best company for the world and we know that this is only possible with talented employees with diverse perspectives, backgrounds and cultures.

We are seeking a highly skilled Data Scientist to join our growing team in the London office with expertise in time series forecasting and machine learning model building experience. Specifically, you'll be accountable for utilizing time series data to analyze oil and shipping market fundamentals to understand the drivers of supply and demand, ultimately predicting future price trends to help the commercial business manage risk. Perform time series forecasting & build machine learning models for the global oil markets, leveraging historical data to predict future trends. Excellent problem-solving skills and the ability to work independently and as part of a team. com/careers/life-at-cci/# to learn more!

You'll work alongside strategically-minded problem-solvers supporting the transformation of our iconic house of brands - Range Rover, Defender, Discovery, and Jaguar - and our heritage-rich JLR Classic range. 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.