Flower Mound, Texas, United States Hybrid / WFH Options
Epsilon
Job Description In this role, you will lead and contribute to new and ongoing research and development efforts that advance Epsilon's identity match abilities - leveraging data science, machine learning and other disciplines to create new data-driven capabilities for more »
Fort Worth, Texas, United States Hybrid / WFH Options
Epsilon
Job Description In this role, you will lead and contribute to new and ongoing research and development efforts that advance Epsilon's identity match abilities - leveraging data science, machine learning and other disciplines to create new data-driven capabilities for more »
track record of operationalizing complex models and analytics. A degree in Computer Science, Engineering, Statistics, Mathematics, or a related field. Advanced degrees (MSc or PhD) are preferred. Expertise in applied machine learning, probability, statistics, and quantitative risk modelling. High proficiency in Python & SQL. Experience with big data technologies and tools more »
legal as required. Support the External Programmes Manager to assist in the preparation of grant proposals. Requirements for the role: BSc/MSc/PhD in either Computer Science, Mechanical Engineering or applicable scientific subject. Prior experience of developing and supporting novel robotic applications, on platforms such as KUKA, ABB more »
working with distributed computing tools like Map/Reduce, Hadoop, Hive, Pig etc. Advanced use of Excel spread sheets for analytical purposes MSc or PhD in Data Science or an analytical subject (Physics, Mathematics, Computing) or other quantitative discipline The position is based close to Manchester. The salary for this more »
with distributed computing tools like Map/Reduce, Hadoop, Hive, Pig etc. Advanced use of Excel spread sheets for analytical purposes An MSc or PhD in Data Science or an analytical subject (Physics, Mathematics, Computing) or other quantitative discipline would be handy. The position is based close to Manchester. The more »
teams and influence stakeholders at all levels. Detail-oriented mindset with a passion for quality and continuous improvement. Preferred Qualifications: Master's degree or PhD in a quantitative discipline (e.g., statistics, applied mathematics, econometrics).Experience with machine learning frameworks and techniques for model validation and testing. Knowledge of software development more »
to identifying use cases and applying forecasting models in areas of business development. Use programming languages such as Python, and SQL. REQUIREMENTS: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Excellent verbal and written communication skills with the ability to effectively explain technical solutions more »
also had these): Having as many of these specific qualifications is a plus, but transferable skills/experiences may be equally valuable: Masters or PhD Degree in Computer Science, Mathematics, or a related technical field 4+ years of experience in a software engineering role Strong design, and implementation skills and more »
latest developments in methods Contributing to building technical capabilities and standards across the organization To do this, you will need: Master’s degree or doctorate in an appropriate field, such as data science, computer science, applied statistics, mathematics, or equivalent Experience applying machine learning models in an appropriate biological domain more »
Scikit-learn, or others, to dedicated projects. Previous experience in working on Spark, Hive, and SQL, Preferred qualifications, capabilities, and skills Financial service background PhD in one of the above disciplines ABOUT US J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world more »
lives of 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 more »
of experienced Data Scientists Skills/Qualifications: Bachelor’s in Data Science, Computer Science, Engineering, Statistics and 5+ years experience required OR MS or PhD in quantitative discipline and demonstrated Data Science skill set, plus 2+ years work experience Extensive knowledge and expertise in building, testing, and deploying complex machine more »
Greater Bristol Area, United Kingdom Hybrid / WFH Options
Anson McCade
big data platforms, and data visualization. Qualifications and Experience: DV Clearance - Sole British National eligible to work on secure client sites. Degree, Masters, or PhD from a leading university in Data Science, Mathematics, Operational Research, Physics, or Statistics. Proven experience in conducting analysis for evidence-based decision-making. Strong expertise more »
journey, leveraging the latest 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 more »
the data management space. Qualifications: Bachelor's degree in computer science, engineering, mathematics, statistics, or a related field; advanced degree (e.g., MBA, MS, or PhD) preferred. 10+ years of experience in data management, analytics, and business intelligence, with at least 5 years in a leadership role. Proven track record ofmore »
with distributed computing tools like Map/Reduce, Hadoop, Hive, Pig etc. Advanced use of Excel spread sheets for analytical purposes An MSc or PhD in Data Science or an analytical subject (Physics, Mathematics, Computing) or other quantitative discipline would be handy. The position is based in the Docklands London. more »
monitoring and analysing model performance and data precision. Present model findings and offer recommendations to key decision-makers and stakeholders The candidate: MSc/PhD in Data Science, Computer Science, Financial Engineering, Statistics, or related fields. 5+ years of industry experience as a Data Scientist or Senior Data Scientist A more »
monitoring and analysing model performance and data precision. Present model findings and offer recommendations to key decision-makers and stakeholders The candidate: MSc/PhD in Data Science, Computer Science, Financial Engineering, Statistics, or related fields. 5+ years of industry experience as a Data Scientist or Senior Data Scientist A more »
Data Scientist and spearhead our mission to transform healthcare data into actionable insights. With a minimum of 2-3 years of experience or post PhD, you’ll lead end-to-end data science projects, ensuring accuracy and integrity at every stage, from data collection to insight dissemination. Health-equity.ai stands more »
traditional methods. Designing tools for a variety of applications Using advanced techniques for real-world problems Your Qualifications Most likely, but not exclusively a PhD (or equivalent) in a relevant field (e.g. Physics, Computer Science). Excellent knowledge of applied statistics and data manipulation Proficiency in Python programming Ability to more »
in NLP or Machine Learning Up to date with state of the art in NLP and Machine Learning Education: Educated to Master’s or PhD level in engineering or computer science or other relevant qualification/experience. If you are interested please apply or send your CV to luke.sandilands@cpl.com more »
opportunity to work with a Big4 Tech company as a Data Scientist, based in London! 12 months contract Key Qualifications: • Postgraduate degree (MS or PhD) in a quantitative field of study including economics, statistics, applied mathematics, data science, business, or a related discipline. • 5-7 years professional experience developing advanced more »
trading architecture. Contribute to a culture of innovation, striving for excellence and setting new benchmarks in systematic fixed income trading. Essential Qualifications: Masters or PhD Degree in mathematical computer science, statistics, quant finance, machine learning, or a related field Solid grounding in financial mathematics, quantitative modeling, and programming languages (Python more »
