基本版

Data Scientist

ancona, marche, Italy 公司: JR Italy 客戶/雇主: MDOTM Ltd
已發佈: 18.05.2026
交割日期: 02.07.2026
工作推薦: 391a557f3cd7cfab31ef1b73dfee3fd6

職務資訊

地理位置
ancona, marche, Italy
公司
JR Italy
客戶/雇主
MDOTM Ltd
工作推薦
391a557f3cd7cfab31ef1b73dfee3fd6
登錄類型
基本版
需要歐盟工作許可
已發佈
18.05.2026
交割日期
02.07.2026

職務說明

MDOTM is looking for outstanding data scientists with a strong background in Artificial Intelligence, statistical modeling and machine learning. You will be working within our research team and help improve MDOTM’s investment strategies and build new predictive models.

You will be fully immersed in a young and dynamic research team with the opportunity to be the one who makes the difference in discovering new data-driven insights. You will be independent and can manage your own schedule but will be working with an international and diverse team of people that together have the mission to enhance how investment decisions are taken by leveraging AI models. MDOTM combines mature technologies with cutting edge ones, ensuring the candidate a fast professional growth and to stay up to date with the latest tech trends. Moreover, you will get a unique opportunity to collaborate with industry leaders and prestigious universities to develop new research projects.

Your tasks will include
  • Researching, designing and implementing appropriate machine learning algorithms
  • Selecting appropriate datasets and data representation methods
  • Running machine learning tests, experiments and performing statistical analysis
  • Present complex results in a clear and concise way using intuitive and beautiful data visualizations
  • Extending existing AI/ML libraries and frameworks
  • Being always up to date on the latest developments and breakthroughs in the field
  • Working smoothly as part of the R&D team and collaborating with different business functions on the entire lifecycle of the projects
About you

You are a brilliant data scientist with a strong data intuition, a proven experience implementing predictive models and you love to approach problems with a scientific research approach.

Skills required
  • Master’s degree or PhD in Engineering, Computer Science, Statistics, Physics, Mathematics, or related technical fields
  • 2+ years of work experience in a industry, university, or government lab, in a role with primary emphasis on AI research
  • Strong skills in statistical modeling and machine learning, especially techniques such as bagging, random forests, gradient boosting, hyperparameter optimization techniques, Bayesian models, neural networks, time series analysis, signal processing etc.
  • Relevant coding experience in programming languages such as Python (or equivalent)
  • Excellent teamwork skills are a must
  • Creativity and ability to formulate problems and solve them both in team and independently
  • Willing to work towards long-term ambitious research goals, while identifying intermediate milestones and meeting deadlines
  • Knowledge of how financial markets work
  • Knowledge of JAVA and Spring framework
  • Proficiency in SQL
  • Knowledge of Version Control Systems (GIT)
  • Knowledge of AWS
  • Interest in Big Data tools and framework like Apache Spark
  • Flexible smart working policies
  • Annual retreat for the team in an awesome location
  • Professional development under the lead of a senior member
  • Free coffee and snacks
  • Office kitchen and common spaces

MDOTM Ltd (FRN: 824056) is an appointed representative of Thornbridge Investment Management LLP (FRN: 713859) which is authorised and regulated by the Financial Conduct Authority.

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技能

apply blended learning apply for research funding apply research ethics and scientific integrity principles in research activities build recommender systems Business Analytics Business Intelligence collect ICT data communicate with a non-scientific audience Computational Biology Computer Simulation conduct research across disciplines create data models Data Engineering data ethics Data Mining Data Models data quality assessment Data Science data visualisation software define data quality criteria deliver visual presentation of data demonstrate disciplinary expertise design database in the cloud design database scheme develop data processing applications develop professional network with researchers and scientists Digital Curation disseminate results to the scientific community draft scientific or academic papers and technical documentation empirical analysis establish data processes evaluate research activities execute analytical mathematical calculations Hadoop handle data samples Healthcare Analytics image recognition implement data quality processes increase the impact of science on policy and society information categorisation Information Extraction integrate gender dimension in research integrate ICT data interact professionally in research and professional environments interpret current data LDAP LINQ make data-driven decisions manage data manage data collection systems manage findable accessible interoperable and reusable data manage ICT data architecture manage ICT data classification manage intellectual property rights manage open publications manage personal professional development manage research data Marketing Analytics mathematical modelling MDX mentor individuals multidisciplinary research N1QL normalise data online analytical processing operate open source software perform data cleansing perform data mining perform project management perform scientific research promote open innovation in research promote the participation of citizens in scientific and research activities promote the transfer of knowledge publish academic research quantitative analysis query languages report analysis results Research Design resource description framework query language Scientific Computing scientific literature Social Network Analysis SPARQL speak different languages State Estimation statistical modeling techniques Statistics synthesise information teach in academic or vocational contexts think abstractly Unstructured Data use data processing techniques use databases use spreadsheets software visual presentation techniques write scientific publications XQuery

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