Head of Data Science Job at Data Idols (London)

Head of Data Science & Analytics

Lead and elevate the data function at Heetch. This role blends technical experti...

Location

Spain , Barcelona

Salary:

Not provided

Heetch

Expiration Date

Until further notice

Requirements

10+ years of experience in Data Science, Analytics or a related field
3+ years of leadership experience
Proven ability to recruit, develop and mentor high-performing teams
Deep expertise in Python, SQL, and statistical modelling
Experience in production-grade data science
Strong background in experimentation, A/B testing, and causal inference
Ability to translate complex data insights into business actions

Job Responsibility

Mentor, coach, and develop data scientists and analysts
Create growth opportunities within the team
Foster a culture of analytical excellence, curiosity, and ownership
Define and drive the data science & analytics roadmap
Balance predictive modelling, experimentation, and deep analytics
Ensure best practices in data governance, quality, and scalability
Scale A/B testing and causal inference frameworks
Develop methodologies to measure impact and optimise key metrics
Partner with PMs, engineers, and leadership
Leverage data storytelling and advanced analytics to influence strategic decisions

Fulltime

Operational Risk Head of Data Risk Center of Excellence

The Head of Data Risk Center of Excellence will lead risk assessment efforts for...

Location

United States , Tampa

Salary:

250000.00 - 500000.00 USD / Year

Citi

Expiration Date

Until further notice

Requirements

20+ years of direct experience as a senior Non-Financial Risk professional
extensive experience in overseeing global data programs in a large-scale organization
extensive experience applying operational risk management frameworks
experience in leading teams to deliver risk and control assessments
demonstrable understanding of Data fundamentals, including architecture and principles
deep knowledge of financial and risk data, regulatory compliance, and risk management
subject matter expertise in operational risk management applied to Data risk
bachelor's degree in Computer Science, Data Science, Information Technology, Business, or a related field preferred.

Job Responsibility

Ensure Enterprise Control Standard requirements are articulated and implemented
embed Data Risk Management practices in day-to-day business and strategic decision-making
oversee compliance against ORM frameworks and Enterprise Data transformation
lead Data Risk SWAT teams in independent risk assessments
operate shared services function supporting business risk management
serve as the primary interface to stakeholders like regulators and senior management.

What we offer

Medical, dental & vision coverage
401(k)
life, accident, and disability insurance
wellness programs
planned time off
unplanned time off
paid holidays.

Fulltime

Head of Data and AI

As the Head of Data and AI, you will drive innovation by identifying and integra...

Location

Sweden , Stockholm

Salary:

Not provided

DanAds

Expiration Date

Until further notice

Requirements

Proven experience building and leading centralized Data/AI teams, including data engineering, data science, and MLOps functions
5+ years of experience deploying ML models into production on AWS (SageMaker, MLOps pipelines)
Experience deploying AI-powered features into customer-facing SaaS platforms
Proven expertise in exposing ML inference via scalable, low-latency REST APIs
Strong background designing and managing high-volume data pipelines (e.g., Kinesis, Kafka, Spark) for feature engineering
Experience implementing model monitoring, drift detection, and XAI frameworks, including establishing an AI governance framework
Advanced degree (MS/PhD) in Computer Science, Statistics, or a quantitative field
Demonstrated ability to translate AI capabilities into product strategy
Deep understanding of data security, PII handling, and privacy-by-design (GDPR, CCPA, SOC2) as applied to ML systems

Job Responsibility

Design, train, and deploy production-grade ML models (using AWS SageMaker, Bedrock, Comprehend) for predictive analytics, anomaly detection, recommendation engines, and automation
Own the entire ML model lifecycle, from training and versioning to secure, low-latency deployment on AWS
Define and implement a company-wide data strategy, including governance, quality, lineage, and access control
Partner with the Domain Expert to formalize AI-driven rules within the BRD
Implement robust monitoring for model drift, bias, and performance
Develop and expose "explainability" endpoints for critical AI decisions
Work with the Platform Back-End Dev to define data pipelines and API contracts for real-time model inference

What we offer

Competitive salary
Wellness grant and occupational pension
A fun and entrepreneurial environment
Career growth opportunities
Industry leading clients such as Paramount Advertising, Yahoo, Nine Group, Roku and many more

D&T Head of Data, BI & Analytics

The Head of Data Sciences, Analytics, AI, and BI is a senior strategic and opera...

Location

Salary:

Not provided

Aramex

Expiration Date

Until further notice

Requirements

Leadership Behaviors: Collaborate & break silos
Execution & Accountability
Growth mindset
Innovation

Job Responsibility

Develop and communicate a long-term vision and strategy for Data Sciences, Analytics, AI, and BI, aligned with Aramex’s business strategy and growth objectives.
Drive innovation in analytics and AI, exploring emerging technologies, algorithms and methodologies to enhance business decision-making and operational efficiency.
Proactively engage business stakeholders to understand complex requirements, desired outcomes, and strategic priorities.
Design and deliver fit-for-purpose analytics and AI solutions that optimize operations, improve customer satisfaction, and drive revenue.
Use insights from customer feedback, usage analytics, and emerging trends to identify continuous improvement opportunities.
Own end to end operations of enterprise analytics platforms, including GCP-based ecosystems (BigQuery, Dataflow, Pub/Sub, Looker) and legacy BI systems (SQL Server, Oracle BI, ETL pipelines).
Ensure platform stability, performance, security and compliance through robust ITIL-aligned processes (incident, problem, change, release management).
Define and maintain SLAs, SLOs, and operational KPIs for uptime, pipeline reliability, cost efficiency, and user satisfaction.
Lead post-project operationalization, including service acceptance, monitoring, and continuous improvement loops.
Lead and mentor a high performing team of data scientists, AI engineers, BI analysts, and data operations engineers.

Head of Data Center and Migration Revenue Finance

You will be joining the Data Center Revenue team within the FP&A function, dedic...

Location

United States , San Francisco

Salary:

161400.00 - 259200.00 USD / Year

Atlassian

Expiration Date

Until further notice

Requirements

At least 10 years experience in finance, with the majority in financial planning and analysis in tech, consulting or banking
Strong financial modeling skills and an understanding of business metrics
Demonstrated experience drawing upon insights to tell a compelling story using data
Leading and managing cross-functional partners
Experience engaging and providing financial support to senior business partners
Strong critical thinking, organizational, interpersonal, communication, and collaboration skills
Experience working in a dynamic, rapidly changing environment
A curiosity to learn and the initiative to act

Job Responsibility

Lead our Data Center revenue forecasting and reporting in alignment with business objectives
Own financial deliverables related to close, forecasting, and planning for the Data Center business and Cloud migration initiatives
Create clear and concise narratives grounded in data for highly visible monthly and quarterly reviews
Collaborate across the company to provide insight into our performance by influencing and leveraging the work of business and data science partners to identify and mitigate risks and upside opportunities
Partner with data science and analytics teams to ensure our infrastructure accurately and appropriately reflects transactions across our reporting and analytical applications
Lead the crafting and communication of the financial narrative to board and execs

What we offer

Health and wellbeing resources
Paid volunteer days
Equity
Bonuses
Commissions
Compensation based on geographic pay zones

Fulltime

Head of AI/Data Consulting

This role plays a pivotal part in shaping and scaling our AI and Data consulting...

Location

United States , Raleigh

Salary:

Not provided

Carimus

Expiration Date

Until further notice

Requirements

Deep expertise in AI and Data Science, with an up-to-date understanding of modern AI (LLMs, agents, MLOps, data architectures, etc.)
Several years of experience in AI/Data consulting or in a software company offering AI/Data advisory services
Demonstrated success in strategic advisory work with enterprise clients
Proven ability to connect technical solutions to business value and ROI
Prior P&L ownership or substantial commercial responsibility
Exceptional interpersonal, communication, and client-facing skills
Experience hiring, developing, and leading technical consulting teams
Ability to travel to customer locations as needed

Job Responsibility

Build and lead a team of AI/Data Consultants who can advise clients on AI and data strategies, tools, architectures, and implementation approaches
Partner with marketing and commercial teams to shape marketing and go-to-market strategies aimed at winning new clients in the US and Europe
Own the P&L for the AI/Data Consulting unit, ensuring financial performance, scalability, and profitability
Conduct workshops, strategic assessments, and executive-level discussions with key customers
Represent Carimus and Spyrosoft externally as a credible AI voice, supporting business development, shaping proposals, and closing strategic deals
Define a clear vision for how AI can drive tangible business outcomes and bring that vision to clients and internal teams
Foster a culture of excellence, curiosity, accountability, and collaboration within the team

Fulltime