Data Science Associate Job at Metyis (Madrid)

Data science associate

Join us at Barclays as a Data Science Associate. Your role sits within the Portf...

Location

United Kingdom , London

Salary:

Not provided

Barclays

Expiration Date

Until further notice

Requirements

Strong quantitative background (e.g. Mathematics, Physics, Engineering, Economics) with exposure to statistical or financial modelling through study or early experience
Proficiency in Python (e.g. pandas, NumPy) and working knowledge of SQL, with a solid understanding of data structures and data quality considerations
Basic understanding of credit risk concepts (PD, LGD, EAD, RWA), or the ability to learn them quickly
Strong problem-solving skills, with the ability to write clear, well-structured code and an interest in developing robust coding practices and production-ready solutions
Proactive, independent working style with good communication skills, and the ability to clearly explain analytical outputs and collaborate effectively

Job Responsibility

End-to-end analytical ownership from data analysis and model development to implementation and ongoing enhancement, alongside improving processes and supporting optimisation initiatives
Contribute to the evolution of the analytics platform, including the practical application of AI and advanced techniques
Support portfolio management across credit risk, balance sheet optimisation, and capital efficiency by delivering data-driven insights and analytical tools, including for SRT and transaction activity
Develop and maintain models, improve processes, and apply advanced techniques to enhance decision-making and portfolio optimisation
Partner with internal Structuring, Treasury and Middle Office to execute new structured transactions, as part of a deal team
Ongoing management and optimization of the structured transactions, partnering with internal teams and external parties such as law firms/verification agents, rating agencies and agent banks
Together with relationship/Sales teams, support with investor engagement including queries related to existing and prospective transactions
Support of wider portfolio optimization initiatives as well as analytics, returns and model enhancements

What we offer

Hybrid working (anchor days at onsite location)

Fulltime

Data Science Associate

We are Metyis, a forward-thinking, global company that develops and delivers sol...

Location

Portugal , Porto

Salary:

Not provided

Metyis

Expiration Date

Until further notice

Requirements

3–5 years of experience in data science or advanced analytics, ideally in retail or e-commerce
A master's degree in a quantitative field such as Data Science, Applied Mathematics, Computer Science, or Engineering
Proven ability to manage the full lifecycle of an ML solution
Hands-on experience with MLflow, Git, and MLOps frameworks
Solid programming skills in Python, including libraries like pandas, NumPy, scikit-learn, matplotlib, seaborn, and PySpark
Experience with Azure (preferred) or AWS, especially in the context of Databricks, data pipelines, and model hosting
Good understanding of data warehousing and querying using SQL
Familiarity with statistical concepts (e.g. experiment design, hypothesis testing, p-values)
Strong communication and stakeholder management skills
Fluency in English (written and spoken)

Job Responsibility

Conduct advanced data analysis focused on Omnichannel Customer Behavior, CRM performance, and sales effectiveness
Translate business problems into analytical solutions
Build, deploy, and maintain machine learning models (e.g. Churn, CLV, Segmentation, Personalization)
Leverage Databricks, Azure, or similar cloud infrastructure for scalable data processing and model deployment
Use Python, PySpark, and common ML libraries for data transformation, model development, and evaluation
Apply statistical methods to validate performance and derive actionable insights
Communicate findings and recommendations clearly
Collaborate with cross-functional stakeholders
Support team development through knowledge sharing and participation in agile working models

What we offer

Opportunity to accelerate the pace of digitalization through advanced technology, business intelligence, and analytics
Driving high-impact insights enhancing decision making across the entire organization
Interaction with senior business leaders on regular basis
Become part of a fast-growing international and diverse team

Data Science Associate

The next step of your career starts here, where you can bring your own unique mi...

Location

Spain , Barcelona

Salary:

Not provided

Metyis

Expiration Date

Until further notice

Requirements

3–5 years of professional experience in the analytics domain
Advanced degree in a quantitative discipline (e.g., Mathematics, Computer Science, Programming, or related field)
Strong analytical mindset with the ability to break down complex problems, formulate hypotheses, and derive actionable recommendations from data analysis
Strong technical expertise in data analysis, statistics, and programming, with proficiency in Python, Hadoop, SQL, and/or R
Hands-on experience with Python data libraries and tools such as Jupyter, Pandas, Scikit-Learn, and Matplotlib
Fluent in English and Spanish (written and spoken)

Job Responsibility

Perform data analysis in the field of Growth Revenue Management, Marketing Analytics, CLM/CRM Analytics and/or Risk Analytics
Conduct analyses in typical analytical tools ranging from SAS, SPSS, Eviews, R, Python, SQL, Teradata, Hadoop, Access, Excel, etc.
Communicate analyses via compelling presentations
Solve problems, disaggregate issues, develop hypotheses and develop actionable recommendations from data and analysis
Prepare and facilitating workshops
Manage stakeholders and communicating with executives
Coach and mentor team members

Sr. Data Associate, Data Management Science

The Senior Data Associate supports the Clinical Program and acts as the GDS DMS ...

Location

United States , San Rafael or Brisbane

Salary:

96000.00 - 144000.00 USD / Year

BioMarin Pharmaceutical

Expiration Date

Until further notice

Requirements

MA degree preferred, or BA/BS degree with a focus in statistics, computer science, life science, or related scientific discipline
2+ years of experience in clinical development, including technical experience within and outside of Data Management, with MS
5+ years with BS
Decision Making, Critical thinking and Problem Solving
Influence, Cross-Functional Collaboration and Organizational Awareness
Agility and Proactivity
Leadership
Communication
Strategic Thinking and Planning
Operations

Job Responsibility

Draft Case Report Form (eCRF) in a concise, self-explanatory, and user-friendly format
Draft Data Management Plan outlining key Data Management activities and deliverables
Collaborate with Clinical Programming and Data Quality Science and facilitate the completion of the Data Validation Plan
Conduct appropriate ongoing/periodic data validation activities
Draft data transfer specifications
Conduct SAE reconciliation activities
Maintain data transfer calendar requirements
Post listings/reports/profiles to study file locations
Reconcile external data
Maintain and track timeline, discrepancies, query resolution, and deliverable status

What we offer

company-sponsored medical, dental, vision, and life insurance plans
discretionary annual bonus
discretionary stock-based long-term incentives
paid time off

Principal Associate, Data Scientist - Retail Bank Valuations Data Science

Data is at the center of everything we do. As a startup, we disrupted the credit...

Location

United States , McLean

Salary:

161800.00 - 184600.00 USD / Year

Capital One

Expiration Date

Until further notice

Requirements

Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 5 years of experience performing data analytics
A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 3 years of experience performing data analytics
A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field)

Job Responsibility

Work closely with subject matter experts to deliver flexible, well managed models that perform well under a variety of economic conditions
Translate business goals into data science solutions and communicate with senior stakeholders
Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation
Explore next-generation model architectures (e.g. embeddings, sequence models) to unlock value in our marketing efficiency

What we offer

Performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)
health, financial and other benefits that support your total well-being

Fulltime

Senior Associate, Data Science

Data is at the center of everything we do. As a startup, we disrupted the credit...

Location

United States , McLean; Richmond

Salary:

123300.00 - 154800.00 USD / Year

Capital One

Expiration Date

Until further notice

Requirements

Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 2 years of experience performing data analytics
A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration

Job Responsibility

Partner with a cross-functional team of data scientists, software engineers, and product managers to identify and quantify risks associated with models
Leverage a broad stack of technologies — Python, Conda, AWS, Spark, and more — to reveal the insights hidden within data
Build statistical/machine learning models to challenge “champion models” that are deployed in production today
Contribute to the model governance of the next generation of machine learning models
Flex your interpersonal skills to present how model risks could impact the business to executives

What we offer

comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being
performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)

Fulltime

Teaching Associate (Data Science/ Statistics)

The candidate will contribute to the delivery of high-quality teaching, assessme...

Location

India , Mumbai

Salary:

Not provided

Emeritus

Expiration Date

Until further notice

Requirements

Evidence of experience and ability to teach effectively at undergraduate and master's levels in a relevant discipline, including in small-group and/ or lecture settings
Evidence of a proactive approach to teaching and student engagement
Evidence of taking initiative to improve students’ learning
Evidence of excellent organisational and administrative skills
Experience of effectively supervising undergraduate and masters’ projects and dissertations
Evidence of responsibility for planning your own professional development
Evidence of ability to contribute effectively to the administration and management of the department, school and faculty
Evidence of leadership responsibility in teaching and learning (e.g. leading new courses/programmes and personal tutor role)
A Doctorate (e.g. PhD or expected to be completed by the start of appointment) in an appropriate discipline, which fits with teaching specialism/s
HE teaching qualification

Job Responsibility

Teaching at Undergraduate and Postgraduate including assisting with lectures, tutoring, seminars. and computer lab sessions
Acting as a personal tutor to undergraduate and postgraduate students
Supervising UG/MSc dissertations in the relevant area
Marking exams and coursework papers for graduate and undergraduate students
with Curriculum development/enhancement in line with the school ambition/strategy
Actively contributing to the function of the school by attending meetings and seminars and undertaking administrative duties assigned by the Head of School
Proactive approach to professional development and scholarship
If needed, fulfilling the role of unit/course director or aiding unit/course director in the administration, development, and teaching of the relevant unit
Responsibilities are likely to include administering graduate and undergraduate degree programmes (Financial Technology or similar, including new programme development, promotion and admissions
organising and monitoring delivery of units

Fulltime

Operations Data Science Senior Associate

The Operations Data Science Senior Associate plays a pivotal role in driving dat...

Location

Salary:

Not provided

Hikinex

Expiration Date

Until further notice

Requirements

Advanced analytical capability
Strong operational understanding
Ability to transform raw data into strategic recommendations
Experience with data collection, validation, and reporting
Experience with automated reporting pipelines
Experience in providing insights and recommendations to leadership
Experience in identifying trends, risks, gaps, and performance opportunities
Experience in translating complex datasets into clear narratives
Experience in designing, implementing, and maintaining dashboards
Experience in developing KPIs

Job Responsibility

Lead the collection, validation, and reporting of key operational, recruiting, training, and productivity data
Oversee end-to-end reporting processes to ensure accuracy, timeliness, and alignment with business requirements
Develop automated reporting pipelines where possible to optimize efficiency
Provide high-level insights and recommendations to Operations and Recruiting leadership, using analytical findings to guide strategic and tactical decisions
Identify trends, risks, gaps, and performance opportunities through deep-dive data analysis
Translate complex datasets into clear, concise narratives for senior leadership discussions
Design, implement, and maintain comprehensive dashboards that track performance, quality, capacity, and productivity across operational teams
Own the development of KPIs for Operations and Recruiting, ensuring relevance, accuracy, and continuous refinement as business needs evolve
Utilize Power BI, Excel, and other analytics platforms to visualize data in intuitive and actionable formats
Ensure data consistency, integrity, and normalization across all systems, including CRMs, HRIS, LMS, ATS, and internal operational tools

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