Work closely with technology teams to integrate risk models into our proprietary systems and platforms. Qualifications: Bachelor's or Master's degree in Mathematics, Statistics, Computer Science, Financial Engineering, or a related field. MExperience as a Quantitative Risk Developer or similar role in the asset management industry or financial services more »
required for the role of Connected Car Analyst include : * Ideally Degree qualified or equivalent in a relevant engineering discipline * Proficient in MySQL, Tableau and Statistics * Experience of Power tools ie Power Query, Power Pivot, Power Automation, Power apps * Knowledge of Data visualisation tools * Competent with PC applications including Microsoft Office more »
best in class data science services. Skills & experience required: Educated to degree level in a quantitative subject; Machine Learning, Computer Science, Physics, Chemistry, Mathematics, Statistics, Engineering, Economics etc. Proven experience in data science, analytics, or a related field, with the ability to deliver hands on projects as well as guide more »
We’re the world’s leading sports technology company, at the intersection between sports, media, and betting. More than 1,700 sports federations, media outlets, betting operators, and consumer platforms across 120 countries rely on our know-how and technology more »
with the broader tech team to deliver data roadmap Experience: Educated to a degree level in a numerate subject: Mathematics, Machine Learning, Computer Science, Statistics, A strong background in CRM and marketing analytics is essential, including modelling skills, to optimise customer journeys and improve customer retention and loyalty Ability to more »
techniques and their applications within the marketing consultancy space (NLP, Computer Vision, LLMs) REQUIREMENTS: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Strong coding skills in Python and SQL Proven experience in customer-driven modeling, with clear commercial impact and value highlighted Excellent communication more »
what drives peoples choices. Think strategically actively problem solving and providing solutions end to end REQUIREMENTS: PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Extremely self-motivated and able to operate independently within a start-up environment Strong programming skills in languages such as Python or more »
findings Excellent communication skills with a natural problem-solving attitude. Exclusive consideration for elite applicants BS in Mathematics, Economics, Computer Science, Information Management, or Statistics The following would be a great advantage: Knowledge of statistics and experience using statistical packages for analyzing datasets Strong analytical skills with the ability to more »
driven working independently. REQUIREMENTS: Must have experience in Computer Vision, SLAM, and 3D reconstruction. MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics, or related fields. Experienced working in a fast-paced start-up environment. Strong programming skills in languages such as Python and C++ NEXT STEPS: If more »
these ideas of stakeholders Helping to definite the future direction of Innovation within this global brand. Requirements Strong academic background in a relevant field (Statistics, Computer Science, etc.) – PhD background strongly preferred (alongside further post-doc research) Excellent knowledge in a range of statistical, machine learning, and deep learning-based more »
predictive analytics and decision-making Develop interactive and user-friendly data visualisation tools What we'd love to see: A degree in Computer Science, Statistics, Mathematics or related discipline Proficiency in R Shiny SQL for data manipulation and analysis What's in it for you: Salary of up to more »
capacity. Preference is given to candidates with buy-side experience. Bachelor's and/or Master's degree in a quantitative field such as statistics, mathematics, engineering, financial engineering/economics, or a related discipline. Proficiency and practical experience in credit investments and fixed income, encompassing the development and maintenance more »
realm of data preprocessing, feature selection, model training, and performance assessment in your daily tasks. Qualifications Solid foundation in Computer Science, Machine Learning, and Statistics Proficiency in Deep Learning techniques and algorithmic methodologies Expertise in data preprocessing and feature selection methodologies Familiarity with optimization techniques for refining machine learning models … ability to excel in remote work environments Previous experience in search engine optimization (SEO) is advantageous Master's or Ph.D. degree in Computer Science, Statistics, or a related field Join us in shaping the future of SEO and unleash your potential in a stimulating remote work environment more »
Data Scientist Sports Analytics & Statistics Consultancy 4 days office, 1 day WfH Up to £70,000 + bonus Our client is a leader in the field of developing statistical models and analytical frameworks for sports, predominantly football. Their models are utilised by media, sports clubs, bookmakers, traders and syndicates, to … but you need to know what techniques and tools are available, and understand the trade-offs of using different approaches Data Scientist Sports Analytics & Statistics Consultancy 4 days office, 1 day WfH Up to £70,000 + bonus more »
industry trends and emerging technologies, offering recommendations for ongoing enhancement and innovation. Requirements: Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field. Demonstrated leadership experience (8-10+ years) within a data-focused organisation, preferably in a technology-driven setting. A track record more »
to deploy and improve the products. Participate in on-call rotation. Qualifications Bachelor’s degree or equivalent in an analytical related field such as Statistics or Computer Science or at least 2+ years equivalent professional experience. Experience with SQL (2+ years) Proficiency with Python (2+ years) Ability to work with more »
Evaluation of model outputs to test fit and predictive power on financial instruments Requirements Include: Educational background in a highly quantitative field (e.g. mathematics, statistics, physics, computer science, econometrics, etc) Prior experience with statistics and empirical research/modelling (2+ years preferred) Hands-on programming fluency in a scripting language more »
Product strategy through creating impactful tools for customers/members. Mentor junior engineering & data science hires. Requirements Strong academic background in a relevant field (Statistics, Computer Science, etc.) Years of commercial experience working on and deploying recommendation engines Excellent Machine Learning and Deep Learning skills Experience of working and deploying more »
and account management Growth mindset with the ability to work both individually and collaboratively Excellent quantitative skills, comfortable with financial data, corporate and market statistics If this sounds like an opportunity that piques your interest, please apply today. We Are Aspire Ltd are a Disability Confident Commited employer more »
by conducting quality checks and collaborating with relevant teams. Skills and Qualifications: Education: At least a 2.1 Bachelor's degree in law, data science, statistics, mathematics or a related field. Experience: 1 to 2 years of proven experience as a data analyst or in a similar role, preferably within a more »
with the ML Engineering team to help productionise and scale the algorithms. Mentor junior team members Requirements Strong academic background in a relevant field (Statistics, Computer Science, etc.) Significant experience utilising NLP in a commercial setting, ideally for information extraction, entity recognition, etc. Experience working with transformers-based models such more »
used packages such as Tidyverse, ggplot2, R shiny and some statistical packages), and SAS knowledge, preferred Quantitative degree ideally related to computing science and statistics to understand the biostatistical R package Excellent collaborating and communication skills #LI-Hybrid If you come across a role that intrigues you but doesn’t more »
analysis to assess model performance under various market conditions and refine model parameters. Requirements: Advanced degree (Ph.D. or Master’s) in quantitative finance, mathematics, statistics, physics, computer science, or a related field. Strong programming skills in in either Python or C++ Solid understanding of financial markets, trading strategies, and risk more »
with different expertise to orchestrate shared solutions An ability and desire to learn new skills quickly Academic background in a relevant quantitative field, e.g. statistics, engineering, computer science, with an advanced degree (PhD/MSc) in one of these disciplines preferred For engineering, proficiency in testing, packaging and deployment in more »
be involved with include, Full Body Inverse Kinematics, Motion Matching, Skeleton Retargeting, Data Pipeline and Compression, Events Editor, Real-Life Match Data 3D Viewer, Statistics and Generative AI. Collaborate with other disciplines, including animations, artists, QA, producers, and other engineering teams, on both development and future planning. Work closely with more »
