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Data Scientist

Mdotm · Milano, 20122, Italy · Active · BambooHR

Job facts

FieldValue
CompanyMdotm
TitleData Scientist
Normalized title-
Department / teamResearch and Development
LocationMilano
Work model-
Employment typeFull Time
Salary-
Statusactive
ATS providerBambooHR
Posted / first seen2026-04-08 / 2026-05-30
Changed / last seen2026-06-01 / 2026-06-06

Related slices

PageWhat it containsOpen
Company jobsActive postings from Mdotm.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through BambooHR.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in Milano.Open
Department jobsActive postings in Research and Development.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyMdotm
Source8adbf926-fef1-44e3-b514-0365fa2b3e01
ATS providerBambooHR

Description

Role Overview We are seeking a Data Scientist to join our Research and Development Team in Milan. This role is designed for someone who thrives at the intersection of advanced mathematics, machine learning, and scalable coding. Working within a collaborative team of scientists and engineers, you will focus on developing the AI models that are at the core of everything we do. You’ll be joining a mission where we have been pioneering and evolving these proprietary models for more than a decade , driving the innovation that powers our fintech solutions. Whether you are a seasoned researcher or a brilliant profile with a passion for AI, your contribution will directly impact our investment strategies and internal modeling tools. We are looking for a creative problem solver who thrives on technical challenges. You don't necessarily need to be a finance expert, but you must be curious enough to master how financial data behaves. Key Responsibilities Design, build, and optimize end-to-end AI pipelines for predictive and prescriptive analytics in financial markets, leveraging modern techniques such as large language models (LLMs), statistical modeling, and probabilistic methods. This includes proficiency in integrating LLMs into research workflows and orchestrating data pipelines. Formulate hypotheses, identify intermediate milestones, and meet deadlines for long-term ambitious research goals. Own the full model lifecycle, from data selection and representation to deployment and performance tuning. Develop and execute rigorous validation frameworks (e.g., backtesting, walk-forward analysis) to ensure robustness and statistical reliability. Conduct in-depth research by formulating testable hypotheses and driving progress toward long-term R&D goals. Build and maintain automated systems to monitor data quality, model health, and detect drift or instability. Collaborate with other technical teams to ensure seamless integration between data pipelines and modeling logic. Research and deliver insights related to risk exposures, portfolio construction, and quantitative analysis of the investment process Apply "divergent thinking" to overcome technical bottlenecks and optimize data retrieval and processing workflows. Requirements Degree in Mathematics, Physics, Machine Learning, Computer Science, or other quantitative fields. Python skills are required to independently design and implement solutions. Experience using LLMs to accelerate development is welcome, alongside critical thinking to rigorously test and validate generated code for correctness and robustness. Strong grasp of programming logic and software development principles. Experience with statistical modeling and techniques such as bagging, random forests, hyperparameter optimization, time series analysis, and signal processing. The ability to approach problems from different angles and find creative, efficient solutions. Fluent in English (both spoken and written). Bonus Points Professional experience or proficiency in Java. Ability to understand financial data concepts (prices, yields, corporate actions) to ensure technical structures align with financial reality. Experience with SQL/NoSQL databases.

Full job record

Job IDca5d6593eee942dec5bcaaae83edb9bee1a5adc6
Org IDabb0053e-478a-4842-af75-95c783b12e54
Source ID8adbf926-fef1-44e3-b514-0365fa2b3e01
Board ID8adbf926-fef1-44e3-b514-0365fa2b3e01
Providerbamboohr
Provider Job Key58
TitleData Scientist
Normalized Title
Statusactive
Activeyes
Location TextMilano, 20122, Italy
DepartmentResearch and Development
Team
Employment Typefull_time
Workplace Type
Remote Policy
Country
Region
CityMilano
Salary Raw
Salary Min
Salary Max
Salary Currency
Salary Period
Source URLhttps://mdotm.bamboohr.com/careers/58
Apply URLhttps://mdotm.bamboohr.com/careers/58
First Seen At2026-05-30 05:57:06Z
Last Seen At2026-06-06 10:29:14Z
Last Checked At2026-06-06 10:29:14Z
Last Changed At2026-06-01 12:10:26Z
Inactive At
Source Posted At2026-04-08 00:00:00Z
Source Updated At
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=bamboohr/board=mdotm/date=2026-06-06/2026-06-06T10-29-13-486Z-b0d53738941f4d489a838afa47d318ff9810d8e0bef5216c7efc5d3cfd709e4f.json
Event Fields
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Parsed Structured
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Extensions
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    "description": "<p><span style=\"font-family: Inter, sans-serif; font-size: 12pt; font-weight: bold\">Role Overview</span></p>\n<p><span style=\"font-family: Inter, sans-serif; font-size: 12pt\">We are seeking a <span style=\"font-weight: bold\">Data Scientist</span> to join our <span style=\"font-weight: bold\">Research and Development Team</span> in Milan.</span></p>\n<p><span style=\"font-family: Inter, sans-serif; font-size: 12pt\">This role is designed for someone who thrives at the intersection of advanced mathematics, machine learning, and scalable coding.</span></p>\n<p><span style=\"font-family: Inter, sans-serif; font-size: 12pt\">Working within a collaborative team of scientists and engineers, you will focus on developing the <span style=\"font-weight: bold\">AI models</span> that are at the core of everything we do. 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You don't necessarily need to be a finance expert, but you must be curious enough to master how financial data behaves.</span></p>\n<p><br></p>\n<p><span style=\"font-family: Inter, sans-serif; font-size: 12pt; font-weight: bold\">Key Responsibilities</span></p>\n<ul>\n<li><span style=\"font-family: Inter, sans-serif; font-size: 12pt\">Design, build, and optimize end-to-end AI pipelines for predictive and prescriptive analytics in financial markets, leveraging modern techniques such as large language models (LLMs), statistical modeling, and probabilistic methods. This includes proficiency in integrating LLMs into research workflows and orchestrating data pipelines.</span></li>\n<li><span style=\"font-family: Inter, sans-serif; font-size: 12pt\">Formulate hypotheses, identify intermediate milestones, and meet deadlines for long-term ambitious research goals.</span></li>\n<li><span style=\"font-family: Inter, sans-serif; font-size: 12pt\">Own the full model lifecycle, from data selection and representation to deployment and performance tuning.</span></li>\n<li><span style=\"font-family: Inter, sans-serif; font-size: 12pt\">Develop and execute rigorous validation frameworks (e.g., backtesting, walk-forward analysis) to ensure robustness and statistical reliability.</span></li>\n<li><span style=\"font-family: Inter, sans-serif; font-size: 12pt\">Conduct in-depth research by formulating testable hypotheses and driving progress toward long-term R&amp;D goals.</span></li>\n<li><span style=\"font-family: Inter, sans-serif; font-size: 12pt\">Build and maintain automated systems to monitor data quality, model health, and detect drift or instability.</span></li>\n<li><span style=\"font-family: Inter, sans-serif; font-size: 12pt\">Collaborate with other technical teams to ensure seamless integration between data pipelines and modeling logic.</span></li>\n<li><span style=\"font-family: Inter, sans-serif; font-size: 12pt\">Research and deliver insights related to risk exposures, portfolio construction, and quantitative analysis of the investment process</span></li>\n<li><span style=\"font-family: Inter, sans-serif; font-size: 12pt\">Apply \"divergent thinking\" to overcome technical bottlenecks and optimize data retrieval and processing workflows.<br><br></span></li>\n</ul>\n<p><span style=\"font-family: Inter, sans-serif; font-size: 12pt; font-weight: bold\">Requirements</span></p>\n<ul>\n<li><span style=\"font-family: Inter, sans-serif; font-size: 12pt\">Degree in Mathematics, Physics, Machine Learning, Computer Science, or other quantitative fields.</span></li>\n<li><span style=\"font-family: Inter, sans-serif; font-size: 12pt\">Python skills are required to independently design and implement solutions.</span></li>\n<li><span style=\"font-family: Inter, sans-serif; font-size: 12pt\">Experience using LLMs to accelerate development is welcome, alongside critical thinking to rigorously test and validate generated code for correctness and robustness.</span></li>\n<li><span style=\"font-family: Inter, sans-serif; font-size: 12pt\">Strong grasp of programming logic and software development principles.</span></li>\n<li><span style=\"font-family: Inter, sans-serif; font-size: 12pt\">Experience with statistical modeling and techniques such as bagging, random forests, hyperparameter optimization, time series analysis, and signal processing.</span></li>\n<li><span style=\"font-family: Inter, sans-serif; font-size: 12pt\">The ability to approach problems from different angles and find creative, efficient solutions.</span></li>\n<li><span style=\"font-family: Inter, sans-serif; font-size: 12pt\">Fluent in English (both spoken and written).</span></li>\n</ul>\n<p><br></p>\n<p><span style=\"font-family: Inter, sans-serif; font-size: 12pt; font-weight: bold\">Bonus Points</span></p>\n<ul>\n<li><span style=\"font-family: Inter, sans-serif; font-size: 12pt\">Professional experience or proficiency in Java.</span></li>\n<li><span style=\"font-family: Inter, sans-serif; font-size: 12pt\">Ability to understand financial data concepts (prices, yields, corporate actions) to ensure technical structures align with financial reality.</span></li>\n<li><span style=\"font-family: Inter, sans-serif; font-size: 12pt\">Experience with SQL/NoSQL databases.</span></li>\n</ul>\n<p><br></p>",
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