10 Data Modeling jobs in the United Kingdom
Senior Data Scientist - Financial Modeling
EH1 1BB Edinburgh, Scotland
£70000 Annually
WhatJobs
Posted 21 days ago
Job Viewed
Job Description
Our client, a prestigious financial services firm, is seeking a highly skilled Senior Data Scientist with expertise in financial modeling to join their innovative, fully remote team. This role offers a unique opportunity to leverage advanced analytical techniques and machine learning to drive strategic decision-making within the financial sector. You will be responsible for developing sophisticated predictive models, conducting in-depth risk assessments, and optimizing investment strategies. Your work will directly impact the firm's performance and profitability.
This position requires a strong command of statistical modeling, econometrics, and machine learning algorithms, coupled with a deep understanding of financial markets and instruments. You will work with large, complex datasets, employing cutting-edge tools and technologies to extract actionable insights. Key responsibilities include designing and implementing models for forecasting, fraud detection, credit scoring, and portfolio optimization. You will also be involved in validating model performance, ensuring regulatory compliance, and communicating complex findings to senior management and other stakeholders.
The ideal candidate will possess a proven track record in data science within the financial industry, with demonstrable experience in building and deploying robust financial models. Excellent programming skills in Python or R, proficiency in SQL, and experience with big data technologies are essential. A strong quantitative background, demonstrated by a Master's or Ph.D. in a relevant field such as Finance, Economics, Statistics, or Computer Science, is required. You should have excellent communication and presentation skills, with the ability to articulate technical concepts clearly and concisely. As part of a fully remote team, you must be self-motivated, highly organized, and able to collaborate effectively across distances. Our client is committed to fostering a collaborative and intellectually stimulating remote work environment, offering ample opportunities for professional development and career progression.
Responsibilities:
This position requires a strong command of statistical modeling, econometrics, and machine learning algorithms, coupled with a deep understanding of financial markets and instruments. You will work with large, complex datasets, employing cutting-edge tools and technologies to extract actionable insights. Key responsibilities include designing and implementing models for forecasting, fraud detection, credit scoring, and portfolio optimization. You will also be involved in validating model performance, ensuring regulatory compliance, and communicating complex findings to senior management and other stakeholders.
The ideal candidate will possess a proven track record in data science within the financial industry, with demonstrable experience in building and deploying robust financial models. Excellent programming skills in Python or R, proficiency in SQL, and experience with big data technologies are essential. A strong quantitative background, demonstrated by a Master's or Ph.D. in a relevant field such as Finance, Economics, Statistics, or Computer Science, is required. You should have excellent communication and presentation skills, with the ability to articulate technical concepts clearly and concisely. As part of a fully remote team, you must be self-motivated, highly organized, and able to collaborate effectively across distances. Our client is committed to fostering a collaborative and intellectually stimulating remote work environment, offering ample opportunities for professional development and career progression.
Responsibilities:
- Develop, validate, and deploy advanced statistical and machine learning models for financial applications.
- Conduct comprehensive data analysis to identify trends, risks, and opportunities in financial markets.
- Build predictive models for forecasting, risk management, fraud detection, and portfolio optimization.
- Collaborate with quantitative analysts, traders, and risk managers to define modeling requirements.
- Ensure model accuracy, robustness, and compliance with regulatory standards.
- Communicate complex analytical findings and recommendations to senior leadership.
- Stay abreast of the latest advancements in data science, machine learning, and financial modeling.
- Master's degree or Ph.D. in Finance, Economics, Statistics, Mathematics, Computer Science, or a related quantitative field.
- 5+ years of experience in data science, with a strong focus on financial modeling and analysis.
- Proficiency in Python or R, and extensive experience with data manipulation and modeling libraries.
- Strong SQL skills and experience with relational databases.
- Deep understanding of financial markets, instruments, and risk management principles.
- Experience with big data technologies (e.g., Spark, Hadoop) is a plus.
- Excellent analytical, problem-solving, and communication skills.
This advertiser has chosen not to accept applicants from your region.
0
Principal Insurance Data Scientist (Risk Modeling)
PL1 1AA Plymouth, South West
£80000 Annually
WhatJobs
Posted 1 day ago
Job Viewed
Job Description
Our client, a leading innovator in the insurance sector, is seeking a Principal Insurance Data Scientist to spearhead advanced risk modeling initiatives. This is a fully remote role, offering significant autonomy and the opportunity to influence strategic decision-making from your home office. You will be responsible for developing sophisticated predictive models to assess and quantify insurance risks, optimize pricing strategies, and enhance underwriting processes. Your work will involve leveraging large, complex datasets, including historical claims data, demographic information, and external economic factors. The ideal candidate will possess a PhD or Master's degree in a quantitative field such as Statistics, Mathematics, Computer Science, or a related discipline, coupled with a minimum of 7 years of experience in data science, specifically within the insurance or financial services industry. Expertise in statistical modeling, machine learning algorithms (e.g., regression, classification, time series analysis, deep learning), and programming languages like Python or R is essential. Experience with data visualization tools and big data technologies (e.g., Spark, Hadoop) is also highly valued. You will lead projects from conception to deployment, mentor junior data scientists, and collaborate closely with actuarial teams, underwriters, and business stakeholders. Strong communication and presentation skills are required to convey complex analytical findings clearly and effectively. This role demands a proactive, innovative mindset and a deep understanding of insurance principles and regulatory requirements. Your insights will directly impact the company's profitability and competitive positioning. We are looking for a thought leader who can drive the data science agenda and contribute to the company's digital transformation. The ability to translate business problems into data-driven solutions is paramount.
This advertiser has chosen not to accept applicants from your region.
1
Remote Lead Data Scientist - Financial Modeling
L1 8JQ Liverpool, North West
£80000 Annually
WhatJobs
Posted 10 days ago
Job Viewed
Job Description
Our client, a leading financial institution, is seeking a highly skilled and experienced Lead Data Scientist to join their innovative team in a fully remote capacity. This role offers the unique opportunity to shape the future of financial modeling and risk assessment from the comfort of your home office. You will be responsible for leading the development and implementation of advanced statistical and machine learning models to address complex financial challenges. This includes building predictive models for market trends, credit risk, fraud detection, and investment performance. As a Lead Data Scientist, you will mentor junior team members, guide research initiatives, and collaborate closely with cross-functional teams, including portfolio managers, risk officers, and software engineers, to integrate data-driven insights into strategic decision-making processes. You will be at the forefront of leveraging cutting-edge technologies and big data platforms to extract actionable intelligence from vast datasets. A strong understanding of financial markets, regulatory requirements, and quantitative finance is crucial. The ideal candidate will possess a deep technical expertise in areas such as Python, R, SQL, and various machine learning libraries (e.g., TensorFlow, PyTorch, Scikit-learn), coupled with exceptional problem-solving skills and a passion for innovation. You will be expected to communicate technical concepts effectively to both technical and non-technical audiences, present findings, and contribute to the overall data science strategy of the organization. This is an exceptional opportunity to drive significant impact in the financial sector while enjoying the flexibility of a remote-first work environment.
Responsibilities:
Qualifications:
Responsibilities:
- Lead the design, development, and deployment of advanced analytical models for financial applications.
- Mentor and guide a team of data scientists and analysts.
- Collaborate with business stakeholders to understand needs and translate them into data science projects.
- Conduct exploratory data analysis and feature engineering on large, complex datasets.
- Implement and optimize machine learning algorithms for prediction, classification, and anomaly detection.
- Develop and maintain robust data pipelines and reporting frameworks.
- Stay abreast of the latest advancements in data science, machine learning, and financial modeling.
- Present complex findings and recommendations to senior management and other stakeholders.
Qualifications:
- Ph.D. or Master's degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics, Physics, Economics).
- Significant experience (5+ years) as a Data Scientist, with a focus on financial modeling or risk management.
- Proven leadership experience in managing data science projects and teams.
- Expert proficiency in programming languages such as Python or R, and SQL.
- Hands-on experience with big data technologies (e.g., Spark) and cloud platforms (e.g., AWS, Azure, GCP).
- Deep understanding of statistical modeling, machine learning techniques, and financial mathematics.
- Excellent analytical, problem-solving, and communication skills.
- Ability to work independently and collaboratively in a remote setting.
This advertiser has chosen not to accept applicants from your region.
2
Remote Junior Data Scientist - Predictive Modeling
M1 1AB Manchester, North West
£25000 Annually
WhatJobs
Posted 11 days ago
Job Viewed
Job Description
Our client is launching an exciting new graduate program and is looking for ambitious Junior Data Scientists to join their innovative team. This is a fully remote, internship position designed for individuals passionate about leveraging data to solve complex problems. You will work closely with experienced data scientists, gaining hands-on experience in developing and implementing machine learning models, analysing large datasets, and contributing to data-driven product development. Your primary focus will be on supporting the creation of predictive models, data cleaning, feature engineering, and exploring new analytical approaches. This internship offers a unique opportunity to learn and grow in a fast-paced, collaborative environment, with ample opportunities for professional development and mentorship. The ideal candidate will possess a strong foundational understanding of statistics, programming (preferably Python), and a keen interest in artificial intelligence and machine learning. You should be eager to learn, possess excellent problem-solving skills, and be comfortable working autonomously in a remote setting.
Key Responsibilities:
Key Responsibilities:
- Assist senior data scientists in developing and implementing machine learning models.
- Perform data cleaning, preprocessing, and feature engineering on diverse datasets.
- Conduct exploratory data analysis to identify trends, patterns, and insights.
- Support the validation and testing of predictive models.
- Contribute to the documentation of data science processes and methodologies.
- Learn and apply new data science techniques and tools under guidance.
- Collaborate with team members on data-related projects and initiatives.
- Help prepare reports and visualizations to communicate findings.
- Participate in team meetings and knowledge-sharing sessions.
- Proactively seek opportunities to enhance analytical skills and contribute to project success.
- Currently pursuing or recently completed a Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Data Science, or a related quantitative field.
- Foundational knowledge of statistical concepts and machine learning algorithms.
- Proficiency in Python, including libraries such as Pandas, NumPy, Scikit-learn.
- Familiarity with data visualization tools (e.g., Matplotlib, Seaborn).
- Strong analytical and problem-solving abilities.
- Excellent written and verbal communication skills.
- Ability to work independently and manage time effectively in a remote environment.
- Eagerness to learn and adapt to new technologies and methodologies.
- Prior internship or project experience in data analysis or data science is a plus.
This advertiser has chosen not to accept applicants from your region.
3
Senior Data Scientist, Financial Risk Modeling
G1 1BA Glasgow, Scotland
£75000 Annually
WhatJobs
Posted 18 days ago
Job Viewed
Job Description
Our client, a prestigious financial services firm, is seeking a highly skilled Senior Data Scientist to join their innovative Risk Management division. This role is based in Glasgow, Scotland, UK , and requires a deep understanding of statistical modeling, machine learning, and data analysis within the financial sector. You will be responsible for developing and deploying advanced models to assess and mitigate financial risks, contributing significantly to the firm's stability and strategic decision-making. This is an on-site position, offering an excellent opportunity to collaborate with a team of experts in a dynamic environment.
Responsibilities:
Qualifications:
This is a challenging and rewarding role for a seasoned data professional looking to make a significant impact in the financial sector in Glasgow .
Responsibilities:
- Design, develop, and implement sophisticated data models using machine learning and statistical techniques to identify, measure, and manage financial risks.
- Analyze large, complex datasets to uncover trends, patterns, and insights related to market risk, credit risk, and operational risk.
- Collaborate with risk managers, traders, and other stakeholders to define risk modeling requirements and objectives.
- Validate and back-test models to ensure their accuracy, reliability, and compliance with regulatory standards.
- Develop and maintain production-ready code for model deployment and monitoring, using languages such as Python or R.
- Conduct scenario analysis and stress testing to evaluate the potential impact of adverse market conditions.
- Contribute to the continuous improvement of risk management frameworks and methodologies.
- Prepare clear and concise documentation and present findings and recommendations to senior management and regulatory bodies.
- Stay abreast of the latest advancements in data science, machine learning, and financial risk management.
- Ensure all modeling activities comply with internal policies and external regulatory requirements.
Qualifications:
- Master's or Ph.D. in a quantitative field such as Data Science, Statistics, Mathematics, Computer Science, or Economics.
- Minimum of 5 years of experience as a Data Scientist or in a similar role within the financial services industry, with a focus on risk modeling.
- Strong proficiency in Python or R, including experience with relevant data science libraries (e.g., scikit-learn, TensorFlow, PyTorch).
- Solid understanding of financial markets, various types of financial risk, and regulatory frameworks (e.g., Basel III).
- Experience with database technologies (SQL, NoSQL) and big data platforms.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation skills, with the ability to explain complex technical concepts to a diverse audience.
- Ability to work effectively both independently and collaboratively within a team environment.
This is a challenging and rewarding role for a seasoned data professional looking to make a significant impact in the financial sector in Glasgow .
This advertiser has chosen not to accept applicants from your region.
4
Bayesian Data Scientist – Advanced AI & Modeling
London, London
01 Advisors
Posted 1 day ago
Job Viewed
Job Description
all.health is at the forefront of revolutionizing healthcare for millions of patients worldwide. Combining more than 20 years of proprietary wearable technology with clinically relevant signals, all.health connects patients and physicians like never before with continuous, data-driven dialogue. This unique position of daily directed guidance stands to redefine primary care while helping people live happier, healthier, and longer.nJob Summary
We’re seeking a
Bayesian Data Scientist
with deep expertise in
probabilistic modeling
and a strong grasp of modern AI advancements, including
foundation models ,
generative AI , and
variational inference . This role is perfect for someone who thrives on solving complex modeling challenges, optimizing predictions under uncertainty, and developing interpretable, high-impact models in real-world systems. You will apply state-of-the-art techniques from Bayesian statistics and modern machine learning to build scalable, efficient, and insightful models—driving real business impact.nResponsibilities
Translate predictive modeling problems and business constraints into robust Bayesian or probabilistic AI solutions.nDesign and implement reusable libraries of predictive features and probabilistic representations for diverse ML tasks.nBuild and optimize tools for scalable probabilistic inference under memory, latency, and compute constraints.nApply
and innovate on methods like
Bayesian neural networks ,
variational autoencoders ,
diffusion models , and
Gaussian processes
for modern AI use cases.nCollaborate closely with product, engineering, and business teams to build end-to-end modeling solutions.nConduct deep-dive statistical and machine learning analyses, simulations, and experimental design.nStay current with emerging trends in generative modeling, causality, uncertainty quantification, and responsible AI.nRequirements/Qualifications:
Strong experience in
Bayesian inference
and
probabilistic modeling : PGMs, HMMs, GPs, MCMC, variational methods, EM algorithms, etc.nProficiency in
Python
(must) and familiarity with
PyMC, NumPyro, TensorFlow Probability , or similar probabilistic programming tools.nHands-on experience with classical ML and modern techniques, including
deep learning ,
transformers ,
diffusion models , and
ensemble methods .nSolid understanding of feature engineering, dimensionality reduction, model construction, validation, and calibration.nExperience with uncertainty quantification and performance estimation (e.g., cross-validation, bootstrapping, Bayesian credible intervals).nFamiliarity with database and data processing tools (e.g., SQL, MongoDB, Spark, Pandas).nAbility to translate ambiguous business problems into structured, measurable, and data-driven approaches.nPreferred Qualifications
M.Sc or PhD in Statistics, Electrical Engineering, Computer Science, Physics, or a related field.nBackground in
generative modeling ,
Bayesian deep learning ,
signal/image processing , or
graph models .nExperience applying probabilistic models in real-world applications (e.g., recommendation systems, anomaly detection, personalized healthcare, etc.).nUnderstanding of modern ML pipelines and MLOps (e.g., MLFlow, Weights & Biases).Experience with recent trends such as
foundation models ,
causal inference , or
RL with uncertainty .nTrack record of publishing or presenting work (e.g., NeurIPS, ICML, AISTATS, etc.) is a plus.nWhat we are looking for:
Curiosity-driven and research-oriented mindset, with a pragmatic approach to real-world constraints.nStrong problem-solving skills, especially under uncertainty.nComfortable working independently and collaboratively across cross-functional teams.nEagerness to stay up to date with the fast-moving AI ecosystem.nExcellent communication skills to articulate complex technical ideas to diverse audiences.
#J-18808-Ljbffrn
We’re seeking a
Bayesian Data Scientist
with deep expertise in
probabilistic modeling
and a strong grasp of modern AI advancements, including
foundation models ,
generative AI , and
variational inference . This role is perfect for someone who thrives on solving complex modeling challenges, optimizing predictions under uncertainty, and developing interpretable, high-impact models in real-world systems. You will apply state-of-the-art techniques from Bayesian statistics and modern machine learning to build scalable, efficient, and insightful models—driving real business impact.nResponsibilities
Translate predictive modeling problems and business constraints into robust Bayesian or probabilistic AI solutions.nDesign and implement reusable libraries of predictive features and probabilistic representations for diverse ML tasks.nBuild and optimize tools for scalable probabilistic inference under memory, latency, and compute constraints.nApply
and innovate on methods like
Bayesian neural networks ,
variational autoencoders ,
diffusion models , and
Gaussian processes
for modern AI use cases.nCollaborate closely with product, engineering, and business teams to build end-to-end modeling solutions.nConduct deep-dive statistical and machine learning analyses, simulations, and experimental design.nStay current with emerging trends in generative modeling, causality, uncertainty quantification, and responsible AI.nRequirements/Qualifications:
Strong experience in
Bayesian inference
and
probabilistic modeling : PGMs, HMMs, GPs, MCMC, variational methods, EM algorithms, etc.nProficiency in
Python
(must) and familiarity with
PyMC, NumPyro, TensorFlow Probability , or similar probabilistic programming tools.nHands-on experience with classical ML and modern techniques, including
deep learning ,
transformers ,
diffusion models , and
ensemble methods .nSolid understanding of feature engineering, dimensionality reduction, model construction, validation, and calibration.nExperience with uncertainty quantification and performance estimation (e.g., cross-validation, bootstrapping, Bayesian credible intervals).nFamiliarity with database and data processing tools (e.g., SQL, MongoDB, Spark, Pandas).nAbility to translate ambiguous business problems into structured, measurable, and data-driven approaches.nPreferred Qualifications
M.Sc or PhD in Statistics, Electrical Engineering, Computer Science, Physics, or a related field.nBackground in
generative modeling ,
Bayesian deep learning ,
signal/image processing , or
graph models .nExperience applying probabilistic models in real-world applications (e.g., recommendation systems, anomaly detection, personalized healthcare, etc.).nUnderstanding of modern ML pipelines and MLOps (e.g., MLFlow, Weights & Biases).Experience with recent trends such as
foundation models ,
causal inference , or
RL with uncertainty .nTrack record of publishing or presenting work (e.g., NeurIPS, ICML, AISTATS, etc.) is a plus.nWhat we are looking for:
Curiosity-driven and research-oriented mindset, with a pragmatic approach to real-world constraints.nStrong problem-solving skills, especially under uncertainty.nComfortable working independently and collaboratively across cross-functional teams.nEagerness to stay up to date with the fast-moving AI ecosystem.nExcellent communication skills to articulate complex technical ideas to diverse audiences.
#J-18808-Ljbffrn
This advertiser has chosen not to accept applicants from your region.
5
Bayesian Data Scientist - Advanced AI & Modeling
London, London
all.health
Posted 1 day ago
Job Viewed
Job Description
Overview
all.health is at the forefront of revolutionizing healthcare for millions of patients worldwide. Combining more than 20 years of proprietary wearable technology with clinically relevant signals, all.health connects patients and physicians like never before with continuous, data-driven dialogue. This unique position of daily directed guidance stands to redefine primary care while helping people live happier, healthier, and longer.nJob Summary
We are seeking a
Bayesian Data Scientist
with deep expertise in
probabilistic modeling
and a strong grasp of modern AI advancements, including
foundation models ,
generative AI , and
variational inference . This role is perfect for someone who thrives on solving complex modeling challenges, optimizing predictions under uncertainty, and developing interpretable, high-impact models in real-world systems. You will apply state-of-the-art techniques from Bayesian statistics and modern machine learning to build scalable, efficient, and insightful models-driving real business impact.nResponsibilities
Translate predictive modeling problems and business constraints into robust Bayesian or probabilistic AI solutions.nDesign and implement reusable libraries of predictive features and probabilistic representations for diverse ML tasks.nBuild and optimize tools for scalable probabilistic inference under memory, latency, and compute constraints.nApply and innovate on methods like
Bayesian neural networks ,
variational autoencoders ,
diffusion models , and
Gaussian processes
for modern AI use cases.nCollaborate closely with product, engineering, and business teams to build end-to-end modeling solutions.nConduct deep-dive statistical and machine learning analyses, simulations, and experimental design.nStay current with emerging trends in generative modeling, causality, uncertainty quantification, and responsible AI.nRequirements / Qualifications
Strong experience in
Bayesian inference
and
probabilistic modeling : PGMs, HMMs, GPs, MCMC, variational methods, EM algorithms, etc.nProficiency in
Python
(must) and familiarity with
PyMC ,
NumPyro ,
TensorFlow Probability , or similar probabilistic programming tools.nHands-on experience with classical ML and modern techniques, including
deep learning ,
transformers ,
diffusion models , and
ensemble methods .nSolid understanding of feature engineering, dimensionality reduction, model construction, validation, and calibration.nExperience with uncertainty quantification and performance estimation (e.g., cross-validation, bootstrapping, Bayesian credible intervals).nFamiliarity with database and data processing tools (e.g., SQL, MongoDB, Spark, Pandas).nAbility to translate ambiguous business problems into structured, measurable, and data-driven approaches.nPreferred Qualifications
M.Sc or PhD in Statistics, Electrical Engineering, Computer Science, Physics, or a related field.nBackground in
generative modeling ,
Bayesian deep learning ,
signal/image processing , or
graph models .nExperience applying probabilistic models in real-world applications (e.g., recommendation systems, anomaly detection, personalized healthcare, etc.).nUnderstanding of modern ML pipelines and MLOps (e.g., MLFlow, Weights & Biases). Experience with recent trends such as
foundation models ,
causal inference , or
RL with uncertainty .nTrack record of publishing or presenting work (e.g., NeurIPS, ICML, AISTATS, etc.) is a plus.nWhat we are looking for
Curiosity-driven and research-oriented mindset, with a pragmatic approach to real-world constraints.nStrong problem-solving skills, especially under uncertainty.nComfortable working independently and collaboratively across cross-functional teams.nEagerness to stay up to date with the fast-moving AI ecosystem.nExcellent communication skills to articulate complex technical ideas to diverse audiences.
#J-18808-Ljbffrn
all.health is at the forefront of revolutionizing healthcare for millions of patients worldwide. Combining more than 20 years of proprietary wearable technology with clinically relevant signals, all.health connects patients and physicians like never before with continuous, data-driven dialogue. This unique position of daily directed guidance stands to redefine primary care while helping people live happier, healthier, and longer.nJob Summary
We are seeking a
Bayesian Data Scientist
with deep expertise in
probabilistic modeling
and a strong grasp of modern AI advancements, including
foundation models ,
generative AI , and
variational inference . This role is perfect for someone who thrives on solving complex modeling challenges, optimizing predictions under uncertainty, and developing interpretable, high-impact models in real-world systems. You will apply state-of-the-art techniques from Bayesian statistics and modern machine learning to build scalable, efficient, and insightful models-driving real business impact.nResponsibilities
Translate predictive modeling problems and business constraints into robust Bayesian or probabilistic AI solutions.nDesign and implement reusable libraries of predictive features and probabilistic representations for diverse ML tasks.nBuild and optimize tools for scalable probabilistic inference under memory, latency, and compute constraints.nApply and innovate on methods like
Bayesian neural networks ,
variational autoencoders ,
diffusion models , and
Gaussian processes
for modern AI use cases.nCollaborate closely with product, engineering, and business teams to build end-to-end modeling solutions.nConduct deep-dive statistical and machine learning analyses, simulations, and experimental design.nStay current with emerging trends in generative modeling, causality, uncertainty quantification, and responsible AI.nRequirements / Qualifications
Strong experience in
Bayesian inference
and
probabilistic modeling : PGMs, HMMs, GPs, MCMC, variational methods, EM algorithms, etc.nProficiency in
Python
(must) and familiarity with
PyMC ,
NumPyro ,
TensorFlow Probability , or similar probabilistic programming tools.nHands-on experience with classical ML and modern techniques, including
deep learning ,
transformers ,
diffusion models , and
ensemble methods .nSolid understanding of feature engineering, dimensionality reduction, model construction, validation, and calibration.nExperience with uncertainty quantification and performance estimation (e.g., cross-validation, bootstrapping, Bayesian credible intervals).nFamiliarity with database and data processing tools (e.g., SQL, MongoDB, Spark, Pandas).nAbility to translate ambiguous business problems into structured, measurable, and data-driven approaches.nPreferred Qualifications
M.Sc or PhD in Statistics, Electrical Engineering, Computer Science, Physics, or a related field.nBackground in
generative modeling ,
Bayesian deep learning ,
signal/image processing , or
graph models .nExperience applying probabilistic models in real-world applications (e.g., recommendation systems, anomaly detection, personalized healthcare, etc.).nUnderstanding of modern ML pipelines and MLOps (e.g., MLFlow, Weights & Biases). Experience with recent trends such as
foundation models ,
causal inference , or
RL with uncertainty .nTrack record of publishing or presenting work (e.g., NeurIPS, ICML, AISTATS, etc.) is a plus.nWhat we are looking for
Curiosity-driven and research-oriented mindset, with a pragmatic approach to real-world constraints.nStrong problem-solving skills, especially under uncertainty.nComfortable working independently and collaboratively across cross-functional teams.nEagerness to stay up to date with the fast-moving AI ecosystem.nExcellent communication skills to articulate complex technical ideas to diverse audiences.
#J-18808-Ljbffrn
This advertiser has chosen not to accept applicants from your region.
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6
Senior Data Management Professional - Data Product Owner,Semantic Modeling - Company Financials
London, London
Bloomberg
Posted 8 days ago
Job Viewed
Job Description
Senior Data Management Professional - Data Product Owner, Semantic Modeling - Company Financials
Location
London
Business Area
Data
Ref #
**Description & Requirements**
Bloomberg runs on data, and in Data we're responsible for acquiring and providing it to our clients. We collect, model, analyze, and publish data which is the backbone of the Bloomberg Terminal. We apply problem-solving skills to identify innovative workflow efficiencies, and we implement solutions to enhance our systems, products and processes- all while delivering advanced insights to our clients. Weu2019re responsible for delivering this data, news and analytics through innovative technology - quickly and accurately.
**Our Team:**
The Company Financials (CoFi) Data team designs and builds company analysis tools for the Bloomberg Terminal. This includes marquee applications on Bloomberg terminal which supports data related to financial analysis, analyst recommendations, and earnings estimates. The team is responsible for tracking the evolution of data points from data processing to database taxonomy as well as API syntax design and front-end application development.
What's the role?
You will be responsible for defining, articulating and leading the implementation of the product vision and strategy for our metadata discovery layer. You will partner with product managers to identify commercial targets and define the use cases to be pursued and prioritized. You will act as the main point of contact between our product and data teams to improve our company financials taxonomy and data model, ensuring a consistent experience for our clients across all delivery methods. While collaborating closely with our data modelers, ontologists and domain subject matter experts, you will design the knowledge graph structure in order to support client needs while enriching the metadata available in the semantic layer and API layer.
**Weu2019ll trust you to:**
Maintain and evolve a roadmap for the discovery layer of the Company Financials products
Partner with Product, Engineering and Data to ensure deliverables are well defined and detailed, and align with the overall business goals
Drive product development, build and analyze metrics to measure business impact and success
Prioritize and balance resources across teams
Communicate progress effectively with stakeholders at all levels
Stay on top of the competitive environment and client trends
**Youu2019ll need to have:**
*Please note we use years of experience as a guide but we certainly will consider applications from all candidates who are able to demonstrate the skills necessary for the role.
4+ years of Product Manager experience bringing sophisticated products to market*
Knowledge of how company financials data is used by different financial market players
Proven skills in designing systems for data modelling and semantic modelling
Technical proficiency in being comfortable discussing technical concepts and experience evaluating trade-offs in design with Engineering, CTO, and Product
**Weu2019d love to see:**
Experience operating in an Agile environment
Bacheloru2019s, Masteru2019s, or PhD in a STEM field, Economics, or Finance
Does this sound like you?
Apply if you think we're a good match. We'll get in touch to let you know what the next steps are.
Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.
Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email
Location
London
Business Area
Data
Ref #
**Description & Requirements**
Bloomberg runs on data, and in Data we're responsible for acquiring and providing it to our clients. We collect, model, analyze, and publish data which is the backbone of the Bloomberg Terminal. We apply problem-solving skills to identify innovative workflow efficiencies, and we implement solutions to enhance our systems, products and processes- all while delivering advanced insights to our clients. Weu2019re responsible for delivering this data, news and analytics through innovative technology - quickly and accurately.
**Our Team:**
The Company Financials (CoFi) Data team designs and builds company analysis tools for the Bloomberg Terminal. This includes marquee applications on Bloomberg terminal which supports data related to financial analysis, analyst recommendations, and earnings estimates. The team is responsible for tracking the evolution of data points from data processing to database taxonomy as well as API syntax design and front-end application development.
What's the role?
You will be responsible for defining, articulating and leading the implementation of the product vision and strategy for our metadata discovery layer. You will partner with product managers to identify commercial targets and define the use cases to be pursued and prioritized. You will act as the main point of contact between our product and data teams to improve our company financials taxonomy and data model, ensuring a consistent experience for our clients across all delivery methods. While collaborating closely with our data modelers, ontologists and domain subject matter experts, you will design the knowledge graph structure in order to support client needs while enriching the metadata available in the semantic layer and API layer.
**Weu2019ll trust you to:**
Maintain and evolve a roadmap for the discovery layer of the Company Financials products
Partner with Product, Engineering and Data to ensure deliverables are well defined and detailed, and align with the overall business goals
Drive product development, build and analyze metrics to measure business impact and success
Prioritize and balance resources across teams
Communicate progress effectively with stakeholders at all levels
Stay on top of the competitive environment and client trends
**Youu2019ll need to have:**
*Please note we use years of experience as a guide but we certainly will consider applications from all candidates who are able to demonstrate the skills necessary for the role.
4+ years of Product Manager experience bringing sophisticated products to market*
Knowledge of how company financials data is used by different financial market players
Proven skills in designing systems for data modelling and semantic modelling
Technical proficiency in being comfortable discussing technical concepts and experience evaluating trade-offs in design with Engineering, CTO, and Product
**Weu2019d love to see:**
Experience operating in an Agile environment
Bacheloru2019s, Masteru2019s, or PhD in a STEM field, Economics, or Finance
Does this sound like you?
Apply if you think we're a good match. We'll get in touch to let you know what the next steps are.
Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.
Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email
This advertiser has chosen not to accept applicants from your region.
7
Senior Data Management Professional - Data Product Owner,Semantic Modeling - Company Financials
London, London
Bloomberg
Posted 8 days ago
Job Viewed
Job Description
Senior Data Management Professional - Data Product Owner, Semantic Modeling - Company Financials
Location
London
Business Area
Data
Ref #
**Description & Requirements**
Bloomberg runs on data, and in Data we're responsible for acquiring and providing it to our clients. We collect, model, analyze, and publish data which is the backbone of the Bloomberg Terminal. We apply problem-solving skills to identify innovative workflow efficiencies, and we implement solutions to enhance our systems, products and processes- all while delivering advanced insights to our clients. Weu2019re responsible for delivering this data, news and analytics through innovative technology - quickly and accurately.
**Our Team:**
The Company Financials (CoFi) Data team designs and builds company analysis tools for the Bloomberg Terminal. This includes marquee applications on Bloomberg terminal which supports data related to financial analysis, analyst recommendations, and earnings estimates. The team is responsible for tracking the evolution of data points from data processing to database taxonomy as well as API syntax design and front-end application development.
What's the role?
You will be responsible for defining, articulating and leading the implementation of the product vision and strategy for our metadata discovery layer. You will partner with product managers to identify commercial targets and define the use cases to be pursued and prioritized. You will act as the main point of contact between our product and data teams to improve our company financials taxonomy and data model, ensuring a consistent experience for our clients across all delivery methods. While collaborating closely with our data modelers, ontologists and domain subject matter experts, you will design the knowledge graph structure in order to support client needs while enriching the metadata available in the semantic layer and API layer.
**Weu2019ll trust you to:**
Maintain and evolve a roadmap for the discovery layer of the Company Financials products
Partner with Product, Engineering and Data to ensure deliverables are well defined and detailed, and align with the overall business goals
Drive product development, build and analyze metrics to measure business impact and success
Prioritize and balance resources across teams
Communicate progress effectively with stakeholders at all levels
Stay on top of the competitive environment and client trends
**Youu2019ll need to have:**
*Please note we use years of experience as a guide but we certainly will consider applications from all candidates who are able to demonstrate the skills necessary for the role.
4+ years of Product Manager experience bringing sophisticated products to market*
Knowledge of how company financials data is used by different financial market players
Proven skills in designing systems for data modelling and semantic modelling
Technical proficiency in being comfortable discussing technical concepts and experience evaluating trade-offs in design with Engineering, CTO, and Product
**Weu2019d love to see:**
Experience operating in an Agile environment
Bacheloru2019s, Masteru2019s, or PhD in a STEM field, Economics, or Finance
Does this sound like you?
Apply if you think we're a good match. We'll get in touch to let you know what the next steps are.
Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.
Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email
Location
London
Business Area
Data
Ref #
**Description & Requirements**
Bloomberg runs on data, and in Data we're responsible for acquiring and providing it to our clients. We collect, model, analyze, and publish data which is the backbone of the Bloomberg Terminal. We apply problem-solving skills to identify innovative workflow efficiencies, and we implement solutions to enhance our systems, products and processes- all while delivering advanced insights to our clients. Weu2019re responsible for delivering this data, news and analytics through innovative technology - quickly and accurately.
**Our Team:**
The Company Financials (CoFi) Data team designs and builds company analysis tools for the Bloomberg Terminal. This includes marquee applications on Bloomberg terminal which supports data related to financial analysis, analyst recommendations, and earnings estimates. The team is responsible for tracking the evolution of data points from data processing to database taxonomy as well as API syntax design and front-end application development.
What's the role?
You will be responsible for defining, articulating and leading the implementation of the product vision and strategy for our metadata discovery layer. You will partner with product managers to identify commercial targets and define the use cases to be pursued and prioritized. You will act as the main point of contact between our product and data teams to improve our company financials taxonomy and data model, ensuring a consistent experience for our clients across all delivery methods. While collaborating closely with our data modelers, ontologists and domain subject matter experts, you will design the knowledge graph structure in order to support client needs while enriching the metadata available in the semantic layer and API layer.
**Weu2019ll trust you to:**
Maintain and evolve a roadmap for the discovery layer of the Company Financials products
Partner with Product, Engineering and Data to ensure deliverables are well defined and detailed, and align with the overall business goals
Drive product development, build and analyze metrics to measure business impact and success
Prioritize and balance resources across teams
Communicate progress effectively with stakeholders at all levels
Stay on top of the competitive environment and client trends
**Youu2019ll need to have:**
*Please note we use years of experience as a guide but we certainly will consider applications from all candidates who are able to demonstrate the skills necessary for the role.
4+ years of Product Manager experience bringing sophisticated products to market*
Knowledge of how company financials data is used by different financial market players
Proven skills in designing systems for data modelling and semantic modelling
Technical proficiency in being comfortable discussing technical concepts and experience evaluating trade-offs in design with Engineering, CTO, and Product
**Weu2019d love to see:**
Experience operating in an Agile environment
Bacheloru2019s, Masteru2019s, or PhD in a STEM field, Economics, or Finance
Does this sound like you?
Apply if you think we're a good match. We'll get in touch to let you know what the next steps are.
Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.
Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email
This advertiser has chosen not to accept applicants from your region.
8
Senior Data Management Professional - Data Product Owner, Semantic Modeling - Company Financials
London, London
Bloomberg
Posted 13 days ago
Job Viewed
Job Description
Senior Data Management Professional - Data Product Owner, Semantic Modeling - Company Financials
Location
London
Business Area
Data
Ref #
**Description & Requirements**
Bloomberg runs on data, and in Data we're responsible for acquiring and providing it to our clients. We collect, model, analyze, and publish data which is the backbone of the Bloomberg Terminal. We apply problem-solving skills to identify innovative workflow efficiencies, and we implement solutions to enhance our systems, products and processes- all while delivering advanced insights to our clients. We're responsible for delivering this data, news and analytics through innovative technology - quickly and accurately.
**Our Team:**
The Company Financials (CoFi) Data team designs and builds company analysis tools for the Bloomberg Terminal. This includes marquee applications on Bloomberg terminal which supports data related to financial analysis, analyst recommendations, and earnings estimates. The team is responsible for tracking the evolution of data points from data processing to database taxonomy as well as API syntax design and front-end application development.
What's the role?
You will be responsible for defining, articulating and leading the implementation of the product vision and strategy for our metadata discovery layer. You will partner with product managers to identify commercial targets and define the use cases to be pursued and prioritized. You will act as the main point of contact between our product and data teams to improve our company financials taxonomy and data model, ensuring a consistent experience for our clients across all delivery methods. While collaborating closely with our data modelers, ontologists and domain subject matter experts, you will design the knowledge graph structure in order to support client needs while enriching the metadata available in the semantic layer and API layer.
**We'll trust you to:**
+ Maintain and evolve a roadmap for the discovery layer of the Company Financials products
+ Partner with Product, Engineering and Data to ensure deliverables are well defined and detailed, and align with the overall business goals
+ Drive product development, build and analyze metrics to measure business impact and success
+ Prioritize and balance resources across teams
+ Communicate progress effectively with stakeholders at all levels
+ Stay on top of the competitive environment and client trends
**You'll need to have:**
*Please note we use years of experience as a guide but we certainly will consider applications from all candidates who are able to demonstrate the skills necessary for the role.
+ 4+ years of Product Manager experience bringing sophisticated products to market*
+ Knowledge of how company financials data is used by different financial market players
+ Proven skills in designing systems for data modelling and semantic modelling
+ Technical proficiency in being comfortable discussing technical concepts and experience evaluating trade-offs in design with Engineering, CTO, and Product
**We'd love to see:**
+ Experience operating in an Agile environment
+ Bachelor's, Master's, or PhD in a STEM field, Economics, or Finance
Does this sound like you?
Apply if you think we're a good match. We'll get in touch to let you know what the next steps are.
Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.
Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email
Location
London
Business Area
Data
Ref #
**Description & Requirements**
Bloomberg runs on data, and in Data we're responsible for acquiring and providing it to our clients. We collect, model, analyze, and publish data which is the backbone of the Bloomberg Terminal. We apply problem-solving skills to identify innovative workflow efficiencies, and we implement solutions to enhance our systems, products and processes- all while delivering advanced insights to our clients. We're responsible for delivering this data, news and analytics through innovative technology - quickly and accurately.
**Our Team:**
The Company Financials (CoFi) Data team designs and builds company analysis tools for the Bloomberg Terminal. This includes marquee applications on Bloomberg terminal which supports data related to financial analysis, analyst recommendations, and earnings estimates. The team is responsible for tracking the evolution of data points from data processing to database taxonomy as well as API syntax design and front-end application development.
What's the role?
You will be responsible for defining, articulating and leading the implementation of the product vision and strategy for our metadata discovery layer. You will partner with product managers to identify commercial targets and define the use cases to be pursued and prioritized. You will act as the main point of contact between our product and data teams to improve our company financials taxonomy and data model, ensuring a consistent experience for our clients across all delivery methods. While collaborating closely with our data modelers, ontologists and domain subject matter experts, you will design the knowledge graph structure in order to support client needs while enriching the metadata available in the semantic layer and API layer.
**We'll trust you to:**
+ Maintain and evolve a roadmap for the discovery layer of the Company Financials products
+ Partner with Product, Engineering and Data to ensure deliverables are well defined and detailed, and align with the overall business goals
+ Drive product development, build and analyze metrics to measure business impact and success
+ Prioritize and balance resources across teams
+ Communicate progress effectively with stakeholders at all levels
+ Stay on top of the competitive environment and client trends
**You'll need to have:**
*Please note we use years of experience as a guide but we certainly will consider applications from all candidates who are able to demonstrate the skills necessary for the role.
+ 4+ years of Product Manager experience bringing sophisticated products to market*
+ Knowledge of how company financials data is used by different financial market players
+ Proven skills in designing systems for data modelling and semantic modelling
+ Technical proficiency in being comfortable discussing technical concepts and experience evaluating trade-offs in design with Engineering, CTO, and Product
**We'd love to see:**
+ Experience operating in an Agile environment
+ Bachelor's, Master's, or PhD in a STEM field, Economics, or Finance
Does this sound like you?
Apply if you think we're a good match. We'll get in touch to let you know what the next steps are.
Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.
Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email
This advertiser has chosen not to accept applicants from your region.
9