to present data-driven insights to stakeholders. Stay updated on industry trends and best practices in data analysis. Requirements: Bachelor's degree in mathematics, statistics, computer science, or related field. Proficiency in data analysis tools such as Python, R, or SQL. Strong analytical and problem-solving skills. Attention to detail more »
world class engineers, and data scientists. Act as subject matter expert for our digital advertising. What We Are Looking For Degree in Mathematics/Statistics/Computer Science or a related engineering/technical or quantitative field. Min 4 years of experience as a Data Scientist in the ad-tech more »
code writing. You have extensive knowledge of ML frameworks, libraries, data structures, data modelling, and software architecture. You have in-depth knowledge of mathematics, statistics, and algorithms. You have excellent analytical and problem-solving skills. You have communication and collaboration skills, as well as time management acumen. What we offer more »
delivering successful AI projects on time and within budget. Metrics-driven approach to measure the impact of AI solutions. PLACEMENT CRITERIA & REQUIREMENTS Background in statistics and data science 8+ years data engineering delivery experience Strong understanding of ML algorithms, statistical modeling, and data science principles Experience in developing and deploying more »
impact on business outcomes. Communicate findings and insights effectively to technical and non-technical stakeholders. REQUIREMENTS: A Bachelor's degree in Computer Science, Mathematics, Statistics, Business Administration, or related field. Advanced knowledge of SQL and Python, including popular Data Science packages such as pandas, matplotlib, seaborn, numpy, and sklearn. Familiarity more »
impact business performance Define, prioritize, deliver and communicate metrics & analyses across the business, including senior executives IDEAL EXPERIENCE & COMPETENCIES Degree in business, computer science, statistics, applied mathematics or other quantitative field 3+ years of experience as a data architect Deep knowledge of data models, experimental design, and execution Understanding of more »
hiring candidates to work out of one of the following locations: London, GBR BASIC QUALIFICATIONS - Master's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science - Relevant experience in building large scale machine learning or deep learning models - Experience communicating more »
technology. Communicate regularly with internal and external stakeholder presenting clear and insightful findings. Requirements: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Strong coding skills in Python and SQL Excellent communication skills with proven experience working with stakeholders or clients Industry specific experience in more »
future it may extend) Hire Type Fixed Term Contract (1 year Extendable) Project Start date At the earliest Role: A Data Scientist combines mathematics, statistics, computer science, and domain knowledge to design and develop models that generate valuable business insights and improve decision making. Responsibilities for this position may include more »
on responsibility on high-value projects with dynamic structures. Experience leading and developing ambitious, high-performing teams- preferably in a Consulting environment. Excellence in statistics and quantitative analysis (theoretical and practical knowledge, intuition, ability to understand models and apply them). Expert programming skills in one or more analytical languages more »
web-based development and visualisation technology for portraying large and complex data sets and relationshipsSubstantial quant development engineering experience with relevant mathematical knowledge e.g. statistics, asset pricing theory, optimisation algorithms.Personal AttributesStrong academic record and a degree with high mathematical and computing content e.g. Computer Science, Mathematics, Engineering or Physics from more »
colleagues challenging and rewriting the rules, not just following them. What we expect from you 5 to 7 years of experience required. Degree in Statistics, Maths, Physics, Economics or similar field Programming skills (Python and SQL are a must have) Analytical Techniques and Technology Experience with and passion for connecting more »
and marketing teams (using internal systems, SFDC, Tableau, Excel) Requirements Bachelor's degree in an analytical field (e.g. Computer Science, Engineering, Mathematics, Finance or Statistics) 4 years experience in data analytics within a sales operations or finance team, or in management consulting with significant experience in sales analytics Experience analysing more »
CX and sales director Key Skills Past experience as data/business analyst Power BI SQL, excel and data visualisation Degree level education in statistics, mathematics, CX or computer science is preferrable Similar experience The Ideal CX insights Manager: A genuinely curious person that loves data Strong analytical and communication more »
area of advanced machine learning (e.g. LLMs, reinforcement learning, diffusion models, etc.) SQL and experience with databases (SQL Server, Postgres etc) Good understanding of statistics and probability Willingness to learn new techniques Excellent communication skills An eye for detail A love of puzzle solving #J-18808-Ljbffr more »
insights to stakeholders (Product/Growth) with regards to the factors that impact business outcomes. What you ll bring to HeliosX Advanced degree in Statistics, Computer Science, or a related field, with a strong foundation in statistical modelling and machine learning. At least 5 years of professional experience in a more »
to fostering the growth of your teammates by sharing your knowledge and mentoring. While candidates typically hold an advanced University degree in Maths, Physics, Statistics, Computer Science, Engineering, or other quantitative disciplines, we are open to being convinced otherwise. These skills are nice to have, but they are not a more »
data using Python/R Comfortable taking ownership of projects and responsibilities with minimum supervision At least a bachelors degree in Computer Science, Mathematics, Statistics, Data Science or other quantitative discipline Good to Have C++/Java development experience Experience in using quantitative methods for strategy parameter optimization Prior experience more »
AI, and related fields to keep the company at the forefront of technological advancements Requirements: BSc or MSc in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Strong coding skills in Python and SQL Good knowledge of ML/AI state-of-the-art, principles, practical applications and limitations more »
data modelling, database design development, data mining and segmentation techniques Strong knowledge of reporting packages (PowerBI, Business Objects etc) and databases (SQL) Knowledge of statistics and experience using statistical packages for analysing datasets (Excel, SPSS, SAS etc) Strong analytical skills with the ability to collect, organise, analyse and disseminate significant more »
to understanding the data and analytics across the differing asset classes Ideal candidates will have: Bachelors or Master s degree in Computer Science, Mathematics, Statistics or related field 2- 5 years of experience in software development within a hedge fund, investment bank or other financial institution Strong programming skills in more »
a collaborative and informed decision-making environment.Required Qualification/Skills1. Educational Background:* Master's in a quantitative discipline such as Computer Science, Finance, Economics, Statistics, or a related field (preferred).2. Professional Experience:* Minimum of 3-5 years of experience in quantitative analysis, financial modelling, and software development.* Demonstrated experience more »
models Ability to manage and coach a team of data scientists Engagement with and management of technical and senior stakeholders Strong knowledge of Mathematical Statistics, Algorithms & Data Structures, ML Theory Strong knowledge of Python & SQL Azure/GCP for cloud backend Skills that will be beneficial but is not a more »
learning, energy management, and demand response technologies to enhance the product's capabilities and educate stakeholders. Required experience: Master's or PhD in Math, Statistics, or relevant field with a strong focus on machine learning, statistical analysis, and data manipulation. Proven experience in developing, maintaining, and deploying predictive and forecasting more »
