Science function. We don’t need someone to have already worked within the Private Equity space, but a clear interest in Investing and strong statistical background (which has been utilised in a commercial setting for a few years) are necessary. Responsibilities Develop and deploy innovative ML & statistical models … conduct wider research into market impact. Requirements Several years working in a commercial setting as a Data Scientist. MSc/PhD in a highly statistical subject area. Production level Python coding skills. End to End Data Science experience is preferable, ideally including algorithmic deployment on the Azure cloud stack … serverless). Strong communication skills Time Series knowledge is a big advantage Previous Private Equity, Investment, or Financial Modelling experience is a bonus. If this role interests you and you would like to find out more, please apply here or contact us via niall.wharton@Xcede.com (feel free to include more »
London, England, United Kingdom Hybrid / WFH Options
HMRC
Delivery team within PAI. This team is responsible for carrying out both quantitative and qualitative analysis and insight on HMRC people data. Activity includes, modelling, forecasting, optimisation, research, survey design and implementation and focus groups. As a people analytics and insights officer you will have the opportunity to work … while also possessing a collaborative approach and a keen willingness to work with others to achieve progress against shared objectives. Essential Criteria Proficient in statistical software packages such as R Studio and SPSS and strong Excel skills. Excellent time management skills being able to set and clearly communicate own … experience working in an analytical environment. Experience of two or more of the following techniques: Manipulating large datasets. Predictive analytics. Segmentation analysis. Hypothesis Testing. Statistical Data modelling. Optimisation. Simulation. Machine learning. Desirable Criteria: A willingness to take ownership of personal development, setting realistic goals to improve abilities. Stakeholder engagement more »
to join their growing team on an exciting journey to support the development of advanced therapeutics addressing critical healthcare challenges. You will lead advanced modelling methods, with a focus on generating novel target recommendations, validating them in models, and translating them into therapeutics. Principal Computational Biologist key responsibilities: – Lead … the ‘advanced modelling’ workstreams, and be the point of contact and a role model for advanced modelling within the company. – Maintain strong domain knowledge of leading ‘omic and ‘big data’ computational methods – Drive experimental design & modelling of phenotyping and/or omics data in close collaboration with … together best-in-class Drug Discovery, Drug Development, Product & Project Management capabilities. – Routinely use Python/R for data analyses, in particular data wrangling, modelling and visualisation. – Develop solutions to increase automation, reliability and scalability of our data processing pipelines and workflows. – Lead, co-develop, and run pipelines in more »
optimise processes for the purification of biopharmaceutical products. - Understanding of GMP and QbD considerations in a large scale manufacturing environment. - Understanding and experience with statistical and modelling software and tools. - Understanding of in-process assays such as qPCR, ELISA, HPLC, plate-based spectrometric assays. - Analytical mindset and problem more »
in their ability to create new strategies both independently and with team collaboration A strong background in mathematics and statistics, with good knowledge of statistical models and signal generation Proficiency in back-testing, simulation, and statistical techniques Data-mining skills paired up with data analysis skills. Previous experience more »
role is embedded within the business, partnering with researchers to design and build models in scalable code and implement them into a cutting-edge modelling and analytics infrastructure. The framework will feed the models huge volumes of alternative datasets and in doing so, accurately track and capitalize on the … optimization scenarios. Build production systems for implementing, trading, monitoring, and performance reporting of systematic investment strategies. Implementation of strategies into production level code. Apply statistical and predictive modeling techniques to process and analyze large data sets. Research and attribution of portfolio performance and driving factors. Conduct research and statisticalmore »
have arisen during review of submitted client data. Serves as the day-to-day technical contact to address issues or discrepancies with data.Perform advanced statistical analysis, including regression modelling and additional statistical tests using SAS and/or R. Develop customized client reports based on outcomes of … statistical analysis. Additionally, creates new slide templates and SAS code to produce displays for client reports.Generate sales by expanding revenues from existing clients and by leading prospecting efforts with new clients.Lead people through the management and development of staff, including assigning, directing and evaluating work. Hires employees, conduct performance more »
Summary As agreed and directed by the Senior Manager, the Technical Data Analyst will: Support the TSI team with the provision of data and statistical analyses and/or modelling for awarding purposes, as required, working closely with Leads and Specialists; Be able to manipulate, analyse and interpret … complex data sets of examination data including statistical and psychometric analyses of outcomes and performance, with guidance as necessary. Gain a good understanding of qualifications, their structure such as weighting and scaling measures, and other aspects of results delivery, for example, aegrotat calculations. Translate and present data in a more »
