226 to 250 of 858 Permanent Statistics Jobs

Energy related studies more than 3 years of experience as a quantitative analyst in the energy business, preferably in a trading environment deep knowledge in at least three fields: Statistics, SDE development, Advanced Machine Learning, Monte-Carlo methods, LP/MIP optimization proficiency in Python, SQL and experienced with MS Azure framework strong problem-solving skills and ability to work More ❯

of audiences Strong client relationship management skills Desirable Skills & Experience Experience with cloud-based machine learning services (AWS, Azure, GCP) Proficiency in Python and its libraries for data analysis, statistics, machine learning, and visualisation Expertise in machine learning frameworks such as TensorFlow and PyTorch Knowledge of Natural Language Processing (NLP) and Computer Vision techniques Strong understanding of probability concepts and More ❯

using KDB+/q Practical knowledge of volatility trading and market microstructure in equity derivatives Some other highly valued skills may include: Master's or PhD in STEM (math, statistics, or computer science) Machine learning and optimization theory Knowledge of Python & Rust You may be assessed on key critical skills relevant for success in this role, such as risk and More ❯

with colleagues and clients from different cultures and countries. You'll need to have: A Bachelor's or Master's degree in a related field such as Data Science, Statistics, Computer Science, Engineering, or a related quantitative discipline. Proficiency in Python and SQL. Strong quantitative skills and comfort with working effectively with large datasets and complex models. Internship and/ More ❯

and contribute meaningfully to impactful projects. You will report to the Senior Commercial Data Science Manager. This role is ideal for someone with a strong background in mathematical modelling, statistics, economics, or optimisation who if eager to tackle high-impact, system-level decisions in the aviation industry. You will: Collaborate with senior/lead data scientists, analysts, and business stakeholders More ❯

necessary. Experience in DevOPS is a plus with hands on experience in Jenkins, Git and any one artifactory tool. Qualifications Masters or B.S. degree in Computer Science, Data Science, Statistics Engineering or a related field. Expertise in Oracle database, with strong proficiency in SQL and PL/SQL, Oracle access control (roles, privileges, user management, and data security). Working More ❯

Knowledge of statistical and data science techniques (forecasting, regression, clustering, etc.). Experience with data visualization tools like Tableau, Power BI, or Looker. Degree in a numerate field (Math, Statistics, Economics, etc.). 1-2 years of relevant experience in a fast-paced, digital or commercial environment. Who We're Looking For: A commercially driven analyst passionate about leveraging data More ❯

credit strategy aligns with customer experience, operational capabilities, and commercial goals. Requirements Who you are Analytically Exceptional: You have a strong academic foundation, ideally with a degree in Mathematics, Statistics or Data Science. You bring know-how of credit risk analytics, scorecard development, and data-driven strategy design. Technically Proficient: You have strong hands-on coding skills in SQL and More ❯

Management Information) reports for senior stakeholders. Ensure data quality and consistency across internal systems and external reporting. Who are you: Bachelor's degree in a quantitative field (e.g., Mathematics, Statistics, Economics, Actuarial Science). Strong analytical and problem-solving skills. Proficiency in Excel, SQL, and data visualisation tools (e.g., Power BI, Tableau). 3+ years in general insurance. Excellent communication More ❯

Lead the delivery AI and Data Science programme across the organisation Lead and develop an existing Data Science Team to deliver Data Science solutions Champion Data Science and Advanced Statistics, providing advice to colleagues on the delivery of complex analytic work. Contribute to the development of the AI and Data science programme to drive high impact data science outcomes. Promote More ❯

and architects Engage external partners, consortia, and regulatory bodies to influence and align with industry data innovation Education & Requirements: Advanced degree (MS, PhD, or equivalent) in Data Science, Bioinformatics, Statistics, Computer Science, or a related field. 10+ years of data strategy and analytics experience in life sciences industry, with 5+ years in a leadership capacity. Strong knowledge of R&D More ❯

in Java, C++, Python or related language - Experience with neural deep learning methods and machine learning PREFERRED QUALIFICATIONS - PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field - Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. - Experience with large scale distributed systems such as Hadoop More ❯

and architects Engage external partners, consortia, and regulatory bodies to influence and align with industry data innovation Education & Requirements: Advanced degree (MS, PhD, or equivalent) in Data Science, Bioinformatics, Statistics, Computer Science, or a related field. 10+ years of data strategy and analytics experience in life sciences industry, with 5+ years in a leadership capacity. Strong knowledge of R&D More ❯

activity and providing clear, compelling management reporting on a regular basis Research and implement novel machine learning and statistical approaches BASIC QUALIFICATIONS - Master's degree in computer science, mathematics, statistics, machine learning or equivalent quantitative field - Experience programming in Java, C++, Python or related language - Experience with SQL and an RDBMS (e.g., Oracle) or Data Warehouse PREFERRED QUALIFICATIONS - Experience implementing More ❯

data meaningfully. Alongside a positive, problem-solving attitude, the successful candidate should have the following: A degree or equivalent qualification or experience in a relevant field (e.g., Data Science, Statistics, Computing, Economics, or similar) Experience working with large datasets Knowledge of statistical programming (e.g., R, Python) Proficiency in data visualization tools (e.g., Qlik, Power BI, Tableau) Excellent communication and interpersonal More ❯

with colleagues and clients from different cultures and countries. You'll need to have: A Bachelor's or Master's degree in a related field such as Data Science, Statistics, Computer Science, Engineering, or a related quantitative discipline. Proficiency in Python and SQL. Strong quantitative skills and comfort with working effectively with large datasets and complex models. Internship and/ More ❯

metrics Exploratory analysis to discover new opportunities: understanding ecosystems, user behaviors, and long-term trends Identifying levers to help move key metrics Minimum Qualifications Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent 4+ years experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R) 4+ years More ❯

friendly dashboards and reports Experience with DBT (Data Build Tool) or similar data transformation technologies, with a keen understanding of data modelling and ETL processes Desirable A background in statistics and/or programming, with the ability to apply statistical methods and algorithms to extract insights from data Especially surrounding experimentation Familiarity with machine learning (ML) and artificial intelligence (AI More ❯

data with engineers. Experience with BI/notebook tooling (Looker, Hex, Mode, Tableau, or similar) and data transformation tools like dbt. Bachelor's or Master's in Finance, Economics, Statistics, Data Science, or a related field. Benefits: Competitive compensation package, including equity. Inclusive Healthcare Package. Learn and Grow - we provide mentorship and send you to events that help you build More ❯

at least 2 years focused on deep learning and LLM applications. Strong programming experience in Python and hands-on development of ML pipelines. Solid knowledge of machine learning algorithms, statistics, and deep learning. Proven experience with PyTorch, TensorFlow, Scikit-learn, and transformer-based models. Practical knowledge of LLM integration (e.g., GPT, Claude) and RAG architecture. Experience with ML lifecycle management More ❯

a guide, but we certainly will consider applications from all candidates who are able to demonstrate the skills necessary for the role. A bachelor's degree or above in Statistics, Data Analytics and Data Science or other STEM related fields. A minimum of four years of demonstrable experience in data management concepts such as data engineering, data quality and data More ❯

quality-focused domains. Strong proficiency in Python, SQL, and statistical techniques. Experience with cloud platforms (AWS, Redshift, Azure), g it version control Model automation, Kafka Familiarity with intermediate-level statistics (e.g., KNN, K-means, Bayesian logic). Proven ability to present insights using PowerBI and Excel. Strong problem-solving skills and a collaborative mindset. Experience in industries with large consumer More ❯

set standards for a growing team Your profile 4+ years of experience in a similar data science or analytics role Degree with strong statistical/mathematical component (e.g. Maths, Statistics, Data Science, Artificial Intelligence, Operations Research or equivalent) Proven track record of delivering high-impact machine learning models and developing algorithms that solve real-world challenges Experience programming in Python More ❯

in applied machine learning with at least 4 years in a leadership/management role Ph.D. or master's degree in computer science, Machine Learning, Information Retrieval, Mathematics/Statistics or another related field of science. Depth of expertise and experience in developing and deploying to production machine learning models for recommendations, personalisation, or search relevance. Comprehensive knowledge of machine More ❯

UK The company Imagine a world where every small business has the power to thrive. That's the world we're building at iwoca. Small businesses aren't just statistics - they're the heartbeat of our communities, the character of our high streets, and the engine of our economy. Since 2012, we've revolutionised how these businesses access finance, turning More ❯