data scientist/quantitative risk modeller, with a proven 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 more »
Manchester, England, United Kingdom Hybrid / WFH Options
SYSTRA
knowledge A passion for learning new technologies and an interest in the Transportation, Environment or Energy sectors Bachelor’s degree in Computer Science, Applied Mathematics, Statistics, Engineering, or related fields Relevant industry experience, including demonstrable experience of delivering solutions, including machine learning, digital products, and working with large scale data more »
Bristol, Avon, South West, United Kingdom Hybrid / WFH Options
Indotronix Avani UK Ltd
team building, motivational skills, innovation, delegation, collaboration, emotional intelligence. Key Qualifications: A degree or equivalent practical experience in a pertinent numerate discipline such as mathematics, physics, economics, engineering, or a related field. Demonstrated knowledge and application of statistical and machine learning techniques to address challenges posed by large, intricate datasets. more »
A passion for solving complex problems. The equivalent of a Bachelor's Degree in Software Engineering, Computer Science, Information Technology, Information Systems, Computer Engineering, Mathematics, Physics, or similar. more »
Farnborough, Hampshire, United Kingdom Hybrid / WFH Options
In Technology Group
quality, and analytical methodologies. Stay current with industry trends and best practices in data analysis and visualization techniques. Qualifications: Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or related field. Master's degree preferred. Proven experience as a Data Analyst or similar role, with a strong track record of more »
Nottingham, Nottinghamshire, United Kingdom Hybrid / WFH Options
E.ON Next
fast-paced, high autonomy environments Eager to contribute to a culture of growth and innovation Degree or equivalent in a relevant field, e.g Statistics, Mathematics Bonus points for: Energy retail sector experience Experience with Databricks Here's what else you need to know: Closing date – Friday 10th May 2024 We more »
London, England, United Kingdom Hybrid / WFH Options
E.ON Next
fast-paced, high autonomy environments Eager to contribute to a culture of growth and innovation Degree or equivalent in a relevant field, e.g Statistics, Mathematics Bonus points for: Energy retail sector experience Experience with Databricks Here's what else you need to know: Closing date – Friday 10th May 2024 We more »
City of London, London, United Kingdom Hybrid / WFH Options
E.ON Next
fast-paced, high autonomy environments Eager to contribute to a culture of growth and innovation Degree or equivalent in a relevant field, e.g Statistics, Mathematics Bonus points for: Energy retail sector experience Experience with Databricks Here's what else you need to know: Closing date – Friday 10th May 2024 We more »
Central London / West End, London, United Kingdom Hybrid / WFH Options
E.ON Next
fast-paced, high autonomy environments Eager to contribute to a culture of growth and innovation Degree or equivalent in a relevant field, e.g Statistics, Mathematics Bonus points for: Energy retail sector experience Experience with Databricks Here's what else you need to know: Closing date – Friday 10th May 2024 We more »
City of London, London, United Kingdom Hybrid / WFH Options
E.ON Next
or customer experience-related problems such as workforce management, demand forecasting, or root cause analysis. ● BSc or MSc in a quantitative discipline eg. Statistics, Mathematics, Physics, Machine Learning ● Deep expertise in Python (production-level) and SQL ● Proficiency in machine learning libraries (eg. Pandas, scikit-learn, TensorFlow) and experience with MLOps more »
London, England, United Kingdom Hybrid / WFH Options
E.ON Next
or customer experience-related problems such as workforce management, demand forecasting, or root cause analysis. ● BSc or MSc in a quantitative discipline eg. Statistics, Mathematics, Physics, Machine Learning ● Deep expertise in Python (production-level) and SQL ● Proficiency in machine learning libraries (eg. Pandas, scikit-learn, TensorFlow) and experience with MLOps more »
Central London / West End, London, United Kingdom Hybrid / WFH Options
E.ON Next
or customer experience-related problems such as workforce management, demand forecasting, or root cause analysis. ● BSc or MSc in a quantitative discipline eg. Statistics, Mathematics, Physics, Machine Learning ● Deep expertise in Python (production-level) and SQL ● Proficiency in machine learning libraries (eg. Pandas, scikit-learn, TensorFlow) and experience with MLOps more »
the team. Experience: Cloud development and architecture experience A team player with excellent communication skills Advanced analytical skills (typically evidenced by a degree in maths, physics, computer science, engineering, etc.) Applied programming skills - Python, Rust, C++ or other major languages. Hybrid working model from their office in central London. Paying more »
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 to a wide range of audiences. Extremely more »
and analyses. Stay up-to-date with industry trends and best practices in BI and analytics. Requirements: Bachelor's degree in Computer Science, Statistics, Mathematics, Economics, or related field. Proven experience as a BI Analyst or similar role Proficiency in SQL for data manipulation and analysis. Experience with Power BI more »
London, England, United Kingdom Hybrid / WFH Options
Kody
Stay up-to-date with emerging trends and technologies in data analysis Requirements Bachelor's or equivalent experience in a quantitative field such as Mathematics, Statistics, Economics, or Computer Science Proven experience in data analysis or a related role Proficiency in SQL and data querying Experience with data analysis and more »
Surrey, England, United Kingdom Hybrid / WFH Options
Hawksworth
Working : The role is 60% work from home Sponsorship : Sadly sponsorship isn't available for these roles. About You: Bachelors Degree in Data Science, Mathematics, Economics or similar 4+ years working experience working in the world of Data Science You're more than capable with SQL & Python You have exposure more »
and data engineering teams to deploy and integrate deep learning models into our trading infrastructure. Qualifications: Ph.D. or Master’s degree in Computer Science, Mathematics, Statistics, Physics, Engineering, or a related field. Strong background in deep learning, with hands-on experience in developing and implementing deep neural networks using frameworks more »
Cardiff, Caerphilly, Gwent, United Kingdom Hybrid / WFH Options
IntaPeople
relevant teams to resolve them, ensuring accuracy and reliability of data Ideal Skills, Knowledge and Experience: • A relevant professional qualification in Data Science, Statistics, Mathematics, or a related field is desirable • Proven experience working as a Data Analyst or in a similar role Skillset: • Strong analytical skills with the ability more »
features to continuously improve customer satisfaction. Lead Hardware IOT Product manager Responsibilities Qualifications Bachelor's or Master's degree in Computer Science, Physics, Applied Maths, Engineering, or related technical field. Proven track record of 5+ years in technical product management roles, preferably in hardware or IoT industries. Preferably 5+ years more »
conflict management and time management skills. Proficiency in industry-standard process methodologies (e.g., Agile) is required. University degree with an emphasis on Computer Science, Mathematics/Statistics, or equivalent demonstrable experience Great communication skills and an ability to build strong relationships across all organisational levels Flexible team player who understands more »
and cli facing teams Collaborating with other leaders across the Analytics organization, including Product Management, Engineering, and Client Engagement Qualifications: MS degree in Applied Mathematics, Statistics, Engineering or similar quantitative disciplines Mastery of deep learning non/parametric models, clustering, anomaly detection, and interpretability 5+ years of experience in catastrophe more »
cycle. Automating quality assurance processes and cloud resource allocation in software development. Requirements PhD or advanced Masters in Statistics, Computer Science, Machine Learning & AI, Mathematics, or Physics. Hands-on experience in at least three of the following areas: Generative AI, Supervised and Unsupervised Learning, Deep Learning, Computer Vision, Recommendation Systems more »
London, England, United Kingdom Hybrid / WFH Options
Aventum Group
determine root cause. Any additional duties as assigned. Role Requirements Bachelor’s degree or equivalent in an engineering/numerate subject (e.g. Engineering, Stats, Maths, Computer Sciences) Experience in full-stack development and applying it to build science products (E.g. could include some or all Python/R, Linux scripting more »
and review reports What do you need to succeed? • Strong academic background: educated to at least Masters degree level in a quantitative subject, preferably Maths, Physics, Engineering or Finance. Relevant professional qualifications/experience will also be considered. • Experience in Model Validation and Model life-cycle management. • Experience/knowledge more »