training, and retaining a skilled data science team, identifying talent gaps, and addressing them. QUALIFICATIONS A master's degree or PhD in Computer Science, Statistics, Applied Mathematics, or a related field, with at least 5 - 7 years' experience in data science or a similar role. Proficient in at least one … PyTorch, scikit-learn) and familiar with data processing and visualization tools (e.g., SQL, Tableau, Power BI). Expertise in advanced analytical techniques (e.g., descriptive statistics, machine learning, optimization, pattern recognition, cluster analysis, etc.) Experience with cloud computing environments (AWS, Azure, or GCP) and Data/ML platforms (Databricks, Spark). more »
engineering team to bring analytical prototypes to production Generate actionable insights for business improvements Qualifications Bachelor's degree or equivalent experience in quantitative field (Statistics, Mathematics, Computer Science, Engineering, etc.) At least 1 - 2 years of experience in quantitative analytics or data modelling Deep understanding of predictive modelling, machine-learning 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 »
deployments, testing Support clients on analytics/transformations on time series/futures/options data Ideal Candidate Degree in quantitative/mathematics/statistics field Ideally have familiarity with data/analytics specific to energy, finance, insurance, commodities, FX or interest rates i.e. derivative contracts (futures/options), historical more »
the ability to collaborate effectively with colleagues from diverse backgrounds and disciplines. Preferred Qualifications: Master's degree or PhD in Computer Science, Engineering, Mathematics, Statistics, or a related field. MLOps experience, Experience with cloud computing platforms such as AWS, Azure, or GCP (Google Cloud Platform). Familiarity with big data more »
any other data visualization tools in addition to Powerpoint, Excel Word etc. A Degree in Data Science, Computer Science, Information Technology, Economics, Information Systems, Statistics, Applied Math, Business Administration, or any other related field is preferred but not essential An ability to build effective relationships with an number of key more »
track key performance indicators (KPIs) throughout the product launch phase, providing regular reports and insights to stakeholders. Minimum Qualifications Bachelor's degree in business, statistics, finance or relevant field. 3+ years of relevant work experience in analytics/data analysis, business intelligence or related field. Fluent in English both written more »
teams to solve complex analytics and modelling problems, ideally within the sports betting industry. Modelling Expertise: Deep understanding and experience in modelling, probability, and statistics, including time series predictions, machine learning, and Bayesian inference. Technical Proficiency: Highly proficient in Python/R and other relevant programming languages, capable of tackling more »
framework of continual innovation Partner with engineers to develop ML projects, and maintain high system availability and reliability Requirements BA/BS in Mathematics, Statistics, or Computer Science is required or a Master's degree in a quantitative scientific discipline is strongly desired Advanced statistical modelling skillset Advanced SQL querying more »
in cloud computing and machine learning to develop innovative risk management tools and platforms. Your profile Educational Background : MSC or PhD in Mathematics, Physics, Statistics, Financial Engineering, Computer Science, or a related quantitative field. Technical Expertise : Exceptional proficiency in Python and familiarity with advanced quantitative and statistical techniques, including stochastic more »
in cloud computing and machine learning to develop innovative risk management tools and platforms. Your profile Educational Background : MSC or PhD in Mathematics, Physics, Statistics, Financial Engineering, Computer Science, or a related quantitative field. Technical Expertise : Exceptional proficiency in Python and familiarity with advanced quantitative and statistical techniques, including stochastic more »
the products capabilities. What You'll Bring (Experience & Qualifications) • Preferred Master's degree with demonstrated high academic achievement, preferably in quantitative sciences (e.g., mathematics, statistics, or computer science engineering), other data/analytical centric disciplines, or business administration (with a focus in finance or economics and relevant exposure to quantitative more »
individuals who suffer with mental health problems. (Bonus) Has past experience analysing voice/audio data. (Bonus) Has a Master’s or PHD in Statistics, Mathematics, Computer Science or another quantitative field. (Bonus) Familiarity with privacy-preserving AI techniques (e.g. OpenMined). (Bonus) Experience with data visualisation and data analytics. more »
work will establish a scalable, high-performance platform. Your profile Educational Background : A Bachelors or Master's degree in Data Engineering, Computer Science, Mathematics, Statistics, Financial Engineering, Physics, or a related discipline. Python Proficiency: Exceptional skills in Python, encompassing object-oriented programming, efficient software design, and performance computing techniques. Extensive more »
work will establish a scalable, high-performance platform. Your profile Educational Background : A Bachelors or Master's degree in Data Engineering, Computer Science, Mathematics, Statistics, Financial Engineering, Physics, or a related discipline. Python Proficiency: Exceptional skills in Python, encompassing object-oriented programming, efficient software design, and performance computing techniques. Extensive more »
work will establish a scalable, high-performance platform. Your profile Educational Background : A Bachelors or Master's degree in Data Engineering, Computer Science, Mathematics, Statistics, Financial Engineering, Physics, or a related discipline. Python Proficiency: Exceptional skills in Python, encompassing object-oriented programming, efficient software design, and performance computing techniques. Extensive more »
work will establish a scalable, high-performance platform. Your profile Educational Background : A Bachelors or Master's degree in Data Engineering, Computer Science, Mathematics, Statistics, Financial Engineering, Physics, or a related discipline. Python Proficiency: Exceptional skills in Python, encompassing object-oriented programming, efficient software design, and performance computing techniques. Extensive more »
sets, paying particular attention to trends and patterns that could be valuable for diagnostic and predictive analytics. KEY SKILLS A bachelor’s in marketing, statistics, mathematics, business analytics, or a related field is highly desirable. However, we also welcome applicants without a degree with proven work experience. Experience with data more »
maintenance of algorithmic trading systems. Stay updated on industry trends and advancements in quantitative finance and machine learning. Requirements: Bachelor's degree in Mathematics, Statistics, Computer Science, Economics, or a related field (Master's degree preferred). Strong mathematical and analytical skills. General knowledge of the financial sector. Proficiency in more »
risk movements to senior management and portfolio managers. Provide optimisation techniques with the intention of increasing risk-adjusted return. Qualifications: Masters in Mathematics, Physics, Statistics, Engineering or an equivalent in other science disciplines. 4-8 years experience working within a buy-side Risk position. Strong Coding and analytical skills in more »
and bring forward new ideas to the group Supporting and help to shape our data science strategy Requirements Have degree in computer science, mathematics, statistics or quantitative methods (or equivalent experience). Master's Degree Be able to demonstrable experience or knowledge of applied modelling and analytics experience in applicable more »
practical industry experience deploying and maintaining ML systems in production would be viewed very positively. Technical Requirements: Required: Strong foundation in machine learning algorithms, statistics, and data structures within relevant technical projects. Proficiency in programming languages, frameworks, and tools, such as Python, TensorFlow, PyTorch. Experience with data preprocessing, feature engineering more »
Senior stakeholder engagement – internal & external Commercial acumen Exceptional problem solver Experience in digital marketing or customer analytics environment Degree level or equivalent in mathematics, statistics, economics, business or similar Desirable skills: Relevant business and/or technical certifications desirable but not essential Experience of successful Machine Learning & AI application in more »
SQL is required - Demonstrated leadership in steering data science initiatives towards impactful outcomes - Proficiency in both written and verbal communication - Strong expertise in traditional statistics and machine learning methodologies - Familiarity with git and cloud computing platforms (such as AWS, GCP, or Azure) is desirable - Previous experience in mentoring and guiding more »
experience in the application of statistical methods to the analysis of observational data. • Expert level knowledge in at least one area of: epidemiology, biostatistics, statistics, machine learning. Expert in applied statistics. • Good understanding of organizational processes. Extensive experience working cross-functionally with key internal stakeholders. • Open to experimentation and taking more »
