of users quickly and iteratively. Enjoy working in a fast-paced, design-driven, product development cycle. Embody our Culture and Values . Required Qualifications: Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR equivalent experience. Experience in More ❯
technology PREFERRED QUALIFICATIONS - Experience in influencing senior leadership through data driven insights - Experience working across functional teams and senior stakeholders - Bachelor's degree in computer science, engineering, analytics, mathematics, statistics, IT or equivalent - MBA - Experience with either SQL or Python Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We More ❯
The preferred qualifications are great to have, but are not mandatory. Minimum qualifications: 7+ years industry experience and an advanced degree (PhD or MS) in a quantitative field (e.g. Statistics, Engineering, Sciences, Computer Science, Economics) Excellent communication skills, ideally with a proven track record of working directly with executive-level stakeholders to influence strategy. Expertise in causal inference methods and More ❯
actionable. Who we're looking for Knowledge Designing Kimball/star schema data models. Agile Methodology. Solar and BESS knowledge (Desirable) Qualifications Bachelor's degree in computer science, mathematics, statistics or engineering discipline. Microsoft Power BI Certification. Experience High level of experience with Power BI. Previous experience in designing, delivering, and maintaining self-serve reporting and analytics solutions over multiple More ❯
modeling. Ensure data integrity, user adoption, and alignment with broader analytics and reporting frameworks. SKILLS You should have Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Business, or a related field. 8+ years of experience in data and analytics roles, with at least 3 years in a leadership position. Proven track record of building and scaling More ❯
both technical and non-technical. Learn quickly and continuously from new tools and techniques to client domains and business challenges. What Youll Bring Must-Have: A strong foundation in statistics, probability, and machine learning fundamentals either through a STEM degree, formal training, or self-study. Fluency in Python and SQL, including experience with libraries like Pandas, Scikit-learn, or equivalent. More ❯
development of analytical products and dashboards with integration of internal and third-party data sources/APIs Contribute to cataloguing and documentation of data Bachelor's degree in mathematics, statistics, computer science or related field 2-5 years experience working in data engineering/analyst and related fields Advanced analytical framework and experience relating data insight with business problems and More ❯
to strategic, cross-functional initiatives within the model risk organisation. What we'll need from you: Master's Degree or equivalent in STEM or other quantitative fields required (Mathematics, Statistics, Financial Engineering, Quantitative Finance etc.) with demonstrated Quantitative experience. Fewer years of relevant experience will be considered for candidates with higher academic qualifications and/or certifications such as a More ❯
quantitative models into broader business processes. What qualifications or skills should you possess in this role? Bachelor's or Master's degree in a quantitative field such as Mathematics, Statistics, Physics, Engineering, Computer Science, or a related field. Strong programming skills in Python, with experience bringing code to production. Solid understanding of structured products and their mechanics. Strong mathematical and More ❯
to improve efficiency and scalability. You will provide guidance and coaching to other team members on statistical techniques. Who you are: You have a university degree in Mathematics, Science, Statistics, Engineering, or a related field, with 2-4 years of work experience or 4+ years in a comparable data analytics role. You are a high-performing individual contributor who applies More ❯
processes Perform other duties as assigned - prepare succinct, clear, and easy to follow documents that summarize findings and insights Minimum Qualifications Bachelor's degree in computer science, Mathematics, Economics, Statistics, or related field 8+ years of professional experience Strong Proficiency in SQL, MS Office Suite, particularly Word, Excel, and PowerPoint Ability to work independently and collaboratively within a team Effectively More ❯
processes Perform other duties as assigned - prepare succinct, clear, and easy to follow documents that summarize findings and insights Minimum Qualifications Bachelor's degree in computer science, Mathematics, Economics, Statistics, or related field 8+ years of professional experience Strong Proficiency in SQL, MS Office Suite, particularly Word, Excel, and PowerPoint Ability to work independently and collaboratively within a team Effectively More ❯
including 3D graph/point cloud deep learning methods) to real-world engineering applications, with a focus on driving measurable impact in industry settings. Experience in ML/Computational Statistics/Modelling use-cases in industrial settings (for example supply chain optimisation or manufacturing processes) is encouraged. A track record of scoping and delivering projects in a customer facing role More ❯
Engineering function What you will need to be successful: 3+ years of experience in data science and or analytics. An MS or BS in a quantitative field (e.g. Economics, Statistics, Engineering) Functional knowledge of Python, SQL, R or other comparable languages. Experience with Elasticsearch is preferred but not required. Ability to work alongside a team of engineers and subject matter More ❯
Some People Management experience would be advantageous. Experience working within a multi-site or complex regional supply chain environment Education: Bachelor's degree in Supply Chain Management, Operations Research, Statistics, Data Science, or a related field. Master's degree or MBA preferred. Skills Advanced proficiency in data manipulation, statistical modeling, and predictive analytics techniques, data architecture, data engineering. Experience with More ❯
actionable outcomes. Develop and deliver media optimization scenarios. Collaborate with internal teams implement recommendations. Contribute to the growth and ambition of a small, dynamic team. Qualifications Degree in Economics, Statistics, or STEM field Understanding of Marketing Mix Modelling (MMM) and its impact on media planning Experience with analytical techniques such as statistical modelling, data visualization, and trend analysis. High level More ❯
experience Experience working with partner organizations, as well as direct field sales, finance, legal, deal desk, marketing, planning, support, and operations. BA or BS degree in Finance, Accounting, Operations, Statistics, Computer Sciences, or Information Systems. Exceptional customer service orientation, analytical and problem-solving skills. Experience with data modeling and analysis. Exceptional quantitative MS Excel skills (i.e. sum-ifs, index/ More ❯
and provide insights to the Head of Quantitative Trading Mentor junior quantitative researchers and analysts on execution methodologies Qualifications Education & Experience Advanced degree ( Masters or PhD) in Mathematics, Physics, Statistics, Computer Science, Financial Engineering, or related quantitative field 3+ years of experience in execution algorithms, electronic trading, or related quantitative finance roles Proven track record of developing and implementing successful More ❯
Whetstone, Greater London, UK Hybrid / WFH Options
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and experience with data modelling, data access, and data storage techniques. Experience with both relational and document databases. Strong understanding of data structures and algorithms. Familiarity with Machine Learning, Statistics, and AI is desirable. Experience with Source Control (GitHub) Software Expert experience with Kotlin (or Java) is required. Demonstrable experience building secure and scalable JVW-based solutions. Strong experience in More ❯
ensure responsible deployment. Set yourself apart: Willingness and ability to learn quickly and apply creative thinking to drive innovative solutions. Mastery of problem solving and solutioning. Proven background in statistics, mathematics, or macroeconomics. Commitment to delivering client impact through data-driven marketing and customer experience innovation. What's in it for you: Our Total Rewards consist of a competitive basic More ❯
of managing and growing a team, deriving analytical insights from a variety of business contexts, and communicating those insights to senior business stakeholders. Ideal Profile : Masters or PhD in Statistics, Mathematics, Computer Science, or related quantitative field 7+ years of experience driving data science solutions and 3+ years of hands-on experience managing a team of data scientists Demonstrated ability More ❯
will play a key role in strengthening the model risk management framework and ensuring accurate implementation of all forecast models. What we're looking for: Solid academic background in Statistics, Mathematics, Economics, Data Science, or a related discipline A number of years experience in Risk Modelling, Credit Risk, Risk Management Proficiency in statistical tools, preferably Python or R Practical exposure More ❯
will play a key role in strengthening the model risk management framework and ensuring accurate implementation of all forecast models. What we're looking for: Solid academic background in Statistics, Mathematics, Economics, Data Science, or a related discipline A number of years experience in Risk Modelling, Credit Risk, Risk Management Proficiency in statistical tools, preferably Python or R Practical exposure More ❯
sophisticated pricing algorithms which would enable companies in the entertainment industry to significantly increase profit margins. You'll use a raft of different techniques from timeseries analysis to bayesian statistics, reinforcement learning & Monte Carlo Simulations. Your Experience : You'll likely come from a strong quantitative degree background in Science or Maths and have worked 2-4 years as a Data More ❯
experience working on sophisticated Python-based software tools and libraries in a fast changing environment Masters or PhD degree in a quantitative subject such as Computer Science, Applied Mathematics, Statistics, or related fields from a top ranked university Demonstrate excellent communication, analytical and quantitative skills Preferred Experience 2+ years of experience with cash equities strategies doing alpha research 2+ years More ❯
