the world BASIC QUALIFICATIONS - Experience building machine learning models or developing algorithms for business application - PhD or Master's degree or Bachelorshi in a technical field (e.g., computer science, statistics, applied mathematics) with 4+ years of relevant experience. - Proven track record of designing, implementing, and deploying successful machine learning solutions for real-world business problems. - Expertise in areas such as 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 ❯
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 ❯
and results to both technical and business audiences. Curious, hardworking and detail-oriented, and motivated by complex analytical problems Preferred qualifications, capabilities, and skills • Strong background in Mathematics and Statistics and familiarity with the financial services industries and continuous integration models and unit test development • Knowledge in search/ranking, Reinforcement Learning or Meta Learning • Experience with A/B 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 ❯
data/BI space - Experience with data visualization using Tableau, Quicksight, or similar tools PREFERRED QUALIFICATIONS - Experience managing, analyzing and communicating results to senior leadership - Master's degree in statistics, data science, or an equivalent quantitative field Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions More ❯
for this. Experience with data visualisation tools like Tableau, Grafana, or similar platforms. 3+ years experience in an analytics role. Experience in product analytics is required. Strong knowledge in statistics and probability, along with proficiency in designing and interpreting A/B tests to support data-driven decisions. Excellent problem-solving skills and attention to detail. Strong communication skills to 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 ❯
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 ❯
mindset: Works well in cross-functional teams and contributes to team rituals ( e.g. planning, retrospectives). Education & Experience: You have a degree in a quantitative field such as Mathematics, Statistics, Economics, Engineering, or Computer Science, and 2-3 years of experience in an analytics or commercial insights role-preferably with exposure to pricing, promotions, or trading analytics. Health Cash Plan More ❯
awareness across teams. What you will bring Relevant Master's degree with the combination of a Business degree or any of the following fields: Machine Learning or computer science, statistics, mathematics with strong understanding of business and ML. Solid understanding of Machine Learning models and techniques, advanced analytics and statistical methods to solve business problems. 8+ years of work experience 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 demonstrated experience in data management concepts such as data quality, random sampling and data More ❯
a range of complex applications and components while working alongside super-smart colleagues challenging and rewriting the rules, not just following them. What we expect from you Degree in Statistics, Maths, Physics, Economics or similar field 5+ years of experience required Programming skills (Python and SQL are a must have) Analytical Techniques and Technology Logical thinking and problem solving Stakeholder More ❯
drive operational improvements. What We're Looking For: 8+ years of work experience in an Analytics role Relevant Master's degree in any of the following fields: computer science, statistics, mathematics, physical sciences with strong understating of data analytics. Proficiency in SQL (to feel comfortable manipulating data, creating scripts that combine different data sources and interpret results) and Python/ More ❯
a business environment with an analytics background. Relevant Master's degree with the combination of a Business degree or any of the following fields: Machine Learning or computer science, statistics, mathematics with strong understanding of business and ML. Understanding of Machine Learning models and techniques, advanced analytics and statistical methods to solve business problems. Very strong programming background and expertise More ❯
and presentation skills with the ability to articulate complex technical concepts to diverse audiences, including non-technical stakeholders and senior leadership. Educational Background : Degree in Data Science, Computer Science, Statistics, AI/ML, or related field. Benefits: Private Health Insurance : Comprehensive coverage for both physical and mental health. Flexible and Remote-First Work Environment : Choose how and where you work More ❯
concepts and results to both technical and business audiences. Curious, hardworking and detail-oriented, and motivated by complex analytical problemsPreferred qualifications, capabilities , and skills:Strong background in Mathematics and Statistics and familiarity with the financial services industries and continuous integration models and unit test developmentKnowledge in search/ranking, Reinforcement Learning or Meta LearningExperience with A/B experimentation and More ❯
on tooling and to build impactful technology Communicate complex concepts to technical and non-technical stakeholders through clear storytelling Required Skills Education: Bachelor's or Master's degree in Statistics, Data Science, Computer Science or related field Experience: Proven experience in ML model lifecycle management Core Competencies : Model lifecycle: You've got hands-on experience with managing the ML model 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 ❯
Translate complex sensor data into clear findings for internal use and product development. About You MSc or equivalent industry experience in a relevant field (e.g. Computer Science, Engineering, Physics, Statistics). Candidates with a BSc and strong production experience will also be considered. Experience delivering data science or data engineering solutions into production. You're comfortable writing production-grade code 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 ❯
both operational and data stakeholders in a timely and concise manner. This role will be a great fit if: Bachelor's degree in a quantitative field (e.g., Computer Science, Statistics, Engineering) or equivalent work experience in Data Analytics. 5+ years of experience in a data analyst or similar role, ideally with experience working within operational or customer-facing teams. Advanced More ❯
of the business - Marketing, Operations, Customer service. The Chief Data Scientist will also be tasked with using Data to enrich the Customer experience. Chief Data Scientist Experience Required : - Strong Statistics/Maths/Econometrics Background - RDBMS/SQL experience - Strong Msc or PhD Background Any experience in the following is Nice to have : - SAS, SPSS, R Apply now for the More ❯
ISL (Rec.) Qualifications: To be considered for this Lead Data Scientist role you will need to have: - A Masters or PhD in a relevant discipline such as Computer Science, Statistics, Applied Mathematics, or Engineering - Strong experience with Python and R - A strong understanding of a number of the tools across the Hadoop ecosystem such as Spark, Hive, Impala & Pig - An More ❯
emerging technologies (including Generative AI). Identify opportunities to improve efficiency, customer experience, and revenue through advanced analytics. Requirements: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Solid background in Data Science (though this is not a hands-on technical role) Experience managing small, high-performing teams A confident and strategic leader Excellent communication More ❯
