Managing Data Scientist Job at Barclays (Glasgow)

Data Governance Program Manager

Digital Transformation PMO - Data Governance Program Manager. This role is accou...

Location

Singapore , Singapore

Salary:

Not provided

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

Bachelor’s degree in IT, Computer Science, Software Engineering, Data, Business Analytics or equivalent
Minimum 10 years of experience in data or corporate governance setup and operationalization
Experience in SAP MDG, S4 HANA roll out, Data Harmonization and Data Cleansing
Experience in Material, Vendor, BOM master Data
Certification in industry standard data architecture discipline or similar (e.g. DCAM, DAMA)
Experience in operating under Data Office organization
Expert in consulting and helping business to develop data quality business rules, data catalogue, business glossary
Ability to develop, implement & optimize complex data governance solution and issues
Experience in Data, Privacy, Protection implementations & operationalization
Experience in Big Data and associated platform / technology knowledge

Job Responsibility

Establish, develop and optimize Data Governance Framework, Policy, Process & associated business program / solutions implementations for Global Operation team
Define data governance, data management frameworks and solutions together with Chief Data Officer team, IT and Global Operation functional groups
Support business units in digital transformation journey with data governance
Enable Data Governance framework including managing the objectives, approach, processes, policies and procedures around data governance
Build robust and scalable data governance ecosystem to support business needs
Define data governance operational processes (e.g., data quality measurement, metadata management) in accordance with policies and standards
Provide expert consultation to business units to establish and maintain data policies and standards that enable use-cases
Provide expert consultation to assist business units in identify and setup of critical data elements including the setup of data lineage, data catalogue and data quality
Work collaboratively & consultatively with chief data officer, business units, IT to deliver enterprise objectives around data governance
Identify, design, and implement internal process & framework improvements: automating manual operational processes and control for data governance implementation

What we offer

Health & Wellbeing comprehensive suite of benefits
Personal & Professional Development programs
Unconditional Inclusion in an inclusive environment

Fulltime

Senior Data Scientist

This role has been designed as ‘Onsite’ with an expectation that you will primar...

Location

Israel , Ra'anana

Salary:

Not provided

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

Bachelor's degree preferred or Associate degree holder (technical field) with 5-7 years working experience in related fields desired
Thorough knowledge of company products and services offerings, company organization, competition, third party products and market trends
Broad knowledge of corporate organization, job, and policies
Comprehensive business, technical or functional knowledge at an expert level
Communicate tactfully with diplomacy up to senior management levels within an organization
Active listening skills and ability to adjust messages to audience level
Problem-solving skills (proactive, reactive and creative)
Able to employ exemplary consulting skills by becoming a trusted advisor to the customer and providing clarity to solution determination
Well versed in core technical competencies and peaked in some technical area(s) intermediate skills in project management, communication, analysis and presentation
Provide suggestions for operational efficiencies

Job Responsibility

Apply advanced technical knowledge to operate one or more technology areas (e.g. server administration, technical security management, performance management) or customer groups that are critical or high-risk
Integrate technical knowledge and business understanding to create solutions for customers
Resolve single- and cross- technology incidents independently
Work with team members to resolve unusually complex or cross- technology incidents
Proactively and reactively look for solutions to prevent problems from occurring in team/technology area
Apply company solutions to meet highly complex customer needs
Identify additional services that could lead to future service revenue growth
Provide technical consulting during contract renewal discussions
Build and maintain strong relationship up to senior management level in assigned accounts
Design and deliver support solutions using specific industry knowledge and expertise

What we offer

Health & Wellbeing
Personal & Professional Development
Unconditional Inclusion

Fulltime

GenAI Model Risk Data Scientist

The Model Risk Data Scientist position is for a professional who would like to m...

Location

United States , Jersey City; New York

Salary:

142320.00 - 213480.00 USD / Year

Citi

Expiration Date

Until further notice

Requirements

Master's or advanced degree in quantitative fields such as Mathematics, Statistics, Financial Engineering, Quantitative Finance, Computer Science, Data Science, etc.
AI/ML development experience in a Data Scientist role or similar
NLP development experience in a Data Scientist role or similar
Knowledge of AI risk, safety, and ethics principals and hands-on experience with model validation in a financial institution
Experience in GenAI Model validation or AI/ML Model validation
Experience in a quantitative role in the Financial Markets/Banking/Insurance or experience in Risk capacity at a financial services / insurance institution
Strong organizational and project management skills
Risk and Controls mindset

Job Responsibility

Assist development teams with implementing new GenAI solutions from identification through validation phases
Collaborate with developers and business stakeholders on streamlining the adoption of GenAI within Citi
Own and maintain GenAI solution book of work for eligible GenAI use-cases
Assist with preparations for internal discussions and initial submission for model validation
Own relationships with governance-related stakeholders
Monitor and maintain GenAI solution inventory data and lifecycle
Educate development teams on the model validation process
Own tracking and modeling tools

What we offer

medical, dental & vision coverage
401(k)
life, accident, and disability insurance
wellness programs
paid time off packages including vacation, sick leave, and paid holidays
discretionary and formulaic incentive and retention awards

Fulltime

Data Scientist

The Data Science Lead Analyst is a strategic professional who stays abreast of d...

Location

United Kingdom , Belfast

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

MBA or Advanced Degree Information Systems, Business Analysis / Computer Science
Substantial experience using tools for statistical modeling of large data sets
Process Improvement or Project Management experience
Bachelor’s/University degree or equivalent experience, potentially Masters degree

Job Responsibility

Conducts strategic data analysis, identifies insights and implications and make strategic recommendations, develops data displays that clearly communicate complex analysis
Deliver analytics initiatives to address business problems with the ability to determine data required, assess time & effort required and establish a project plan
Consults with business clients to identify system functional specifications and to solve complex system issues/problems through in-depth evaluation of business processes, systems and industry standards
recommends solutions
Leads system change process from requirements through implementation
provides user and operational support of application to business users
Formulates and defines systems scope and goals for complex projects through research and fact-finding combined with an understanding of applicable business systems and industry standards
Drives communication between business leaders and IT
exhibits sound and comprehensive communication and diplomacy skills to exchange complex information
Conduct workflow analysis, business process modeling

Fulltime

Lead Data Scientist

The Applications Development Technology Lead Analyst is a senior level position ...

Location

India , Pune

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

6-16 years of relevant experience in Apps Development or systems analysis role
Extensive experience system analysis and in programming of software applications
Experience in managing and implementing successful projects
Subject Matter Expert (SME) in at least one area of Applications Development
Ability to adjust priorities quickly as circumstances dictate
Demonstrated leadership and project management skills
Consistently demonstrates clear and concise written and verbal communication
Advanced degree in Computer Science, Data Science, Machine Learning, or a related field
Proven experience in a senior AIML or data science role, preferably within the financial sector
In-depth knowledge of regulatory compliance, particularly Consent Orders and Article V

Job Responsibility

Partner with multiple management teams to ensure appropriate integration of functions to meet goals as well as identify and define necessary system enhancements to deploy new products and process improvements
Resolve variety of high impact problems/projects through in-depth evaluation of complex business processes, system processes, and industry standards
Provide expertise in area and advanced knowledge of applications programming and ensure application design adheres to the overall architecture blueprint
Utilize advanced knowledge of system flow and develop standards for coding, testing, debugging, and implementation
Develop comprehensive knowledge of how areas of business, such as architecture and infrastructure, integrate to accomplish business goals
Provide in-depth analysis with interpretive thinking to define issues and develop innovative solutions
Serve as advisor or coach to mid-level developers and analysts, allocating work as necessary
Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency
Lead the development and deployment of AIML models to ensure compliance with Consent Orders and Article V regulations
Collaborate with compliance officers, legal teams, and other stakeholders to translate regulatory requirements into technical specifications

Fulltime

Manager, Data Science

The Manager, Data Science role at T-Mobile involves managing data science initia...

Location

United States , Overland Park

Salary:

133800.00 - 241400.00 USD / Year

T-Mobile

Expiration Date

Until further notice

Requirements

Bachelor’s Degree required in Math, Statistics, Econometrics, Data Science, Analytics, Operations Research, Behavioral Science, or another analytical/quantitative field
Master’s Degree preferred in similar fields
4+ years of experience in implementing data science-driven solutions
2+ years of management experience or leading/coaching a data science team
4+ years of experience with data querying, wrangling, cleaning, and feature engineering
4+ years of experience with Python, Databricks, R, and other predictive modeling tools
4+ years of experience working with relational databases using SQL
4+ years of experience building and deploying data mining, visualization, statistical models, AI, and machine learning solutions
Mathematics: Calculus, linear algebra, statistics, and probability
Programming expertise in Python and SQL

Job Responsibility

Lead the development of major data science initiatives from problem framing to deployment and performance measurement
Hire, develop, manage, and retain a team of data scientists
Collaborate with cross-functional teams to solve business problems using data science techniques
Continuously improve data science operations to optimize efficiency and create scalable solutions.

What we offer

Medical, dental, and vision insurance
Flexible spending account
401(k) plan
Employee stock grants and employee stock purchase plan
Paid time off and paid holidays
Paid parental and family leave
Family building benefits
Back-up care and childcare subsidy
Tuition assistance and college coaching
Short- and long-term disability insurance

Fulltime

Product Manager, AI Data Pipelines & Developer Community

As a Product Manager for AI Data Pipelines & Developer Community, you will be in...

Location

United States , Campbell

Salary:

Not provided

Komprise, Inc.

Expiration Date

Until further notice

Requirements

Proven experience in product management, particularly with a focus on data and AI-driven products
Strong understanding of technical data architectures, machine learning models, and AI applications in a business context
Demonstrated success in growing technical product adoption and developer communities
Experience working with large datasets, data pipelines, and data platforms
Excellent communication and interpersonal skills, with the ability to convey complex ideas to both technical and non-technical audiences
Proven ability to think strategically and execute methodically, translating complex problems into actionable solutions
A Bachelor’s degree in Computer Science, Data Science, Business, or a related field is preferred

Job Responsibility

Define and Drive Product Strategy: Develop and communicate a clear vision and roadmap for the AI data pipeline platform and associated developer tools, ensuring alignment with business goals and market needs
Build and Optimize AI Data Pipelines: Work closely with our product team and IT, end-users, data engineers and data scientists from our customers to build, optimize, and maintain scalable data pipelines that allow them to enrich, classify, curate data for AI agents for augmentation and inferencing
Translate User Needs into Product Requirements: Gather and prioritize user requirements, translating them into detailed product specifications and coordinating development efforts with engineering and data science teams
Champion Developer Experience: Understand the needs of the developer community, both internal and external, and develop tools, resources, and programs that enhance their experience building with our AI data platform. Investigate participation in partner developer communities and open-source communities
Grow and Engage the Developer Community: Lead efforts to foster a vibrant developer community, potentially through events, forums, technical content, and strategic outreach
Measure and Analyze Product Performance: Define and track key metrics to measure the success and impact of both the AI data platform and community engagement efforts, using data-driven insights to iterate and improve
Cross-Functional Collaboration: Partner effectively with cross-functional teams, including engineering, marketing, sales, and customer success, to ensure product vision alignment and drive successful execution
Stay Ahead of the Curve: Monitor industry trends, emerging technologies, and competitive offerings related to AI, data infrastructure, and developer ecosystems

Senior Data Project Manager

We’re looking for a Senior Data Project Manager to lead high-impact, cross-funct...

Location

Spain , Madrid

Salary:

Not provided

Fever

Expiration Date

Until further notice

Requirements

Have a background in Engineering, Mathematics, Data Science, or a related field (STEM degree)
Are experienced working in technical environments, alongside data scientists and engineers
Bring strong project management and organizational skills
Are comfortable working with SQL and Python to understand data workflows, validate outputs, and collaborate more effectively with technical teams
Use data and analytical thinking to guide decisions
Communicate effectively with different types of stakeholders
Value teamwork, inclusion, and collaborative problem solving
Are comfortable prioritizing and adapting in fast-changing situations
Have professional fluency in English as well as Spanish (spoken and written)
Are based in Madrid or willing to relocate, and open to working 2 days per week from the office

Job Responsibility

Understand company priorities and identify relevant opportunities across the Data organization
Define project scopes and success metrics, coordinating with technical and non-technical teams
Create clear timelines, set realistic milestones, and help remove roadblocks along the way
Maintain project momentum and adapt as needed in a fast-paced environment
Communicate regularly with stakeholders to ensure alignment, transparency, and shared goals
Help bring structure, clarity, and focus to cross-functional initiatives

What we offer

Attractive compensation package consisting of base salary and the potential to earn a significant bonus for top performance
Stock options
Opportunity to have a real impact in a high-growth global category leader
40% discount on all Fever events and experiences
Home office friendly, location in Madrid required
Responsibility from day one and professional and personal growth
Great work environment with a young, international team of talented people to work with
Health insurance and other benefits such as Flexible remuneration with a 100% tax exemption through Cobee
English Lessons
Gympass Membership

Fulltime

Managing Data Scientist

Barclays

Location:
United Kingdom , Glasgow

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
April 11, 2026

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