Head of ML

At EY, we’re all in to shape your future with confidence.

We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go.

Join EY and help to build a better working world.

The opportunity
To achieve this, we are seeking for an AI Consulting Manager to join our Data and AI Consulting practice. Our team is part of EY’s Europe Central (EC) cluster, delivering market leading services to organizations across industries in Cyprus and internationally.

Key Responsibilities

• Lead Data & AI projects that help clients turn business challenges into practical, technology-enabled solutions.
• Help clients embed responsible AI, data governance, security, and regulatory considerations into their solutions and ways of working.
• Work closely with clients to understand their needs, build trusted relationships, and guide them through their Data & AI transformation journey.
• Manage day-to-day project delivery, including timelines, milestones, risks, quality, budget tracking, and client updates.
• Bring together multidisciplinary teams across consulting, data, AI, architecture, technology, and external partners to deliver high-quality outcomes.
• Coach junior colleagues, review work, and help team members develop strong consulting, delivery, and client-facing skills.
• Support the design and delivery of Data & AI solutions, from early problem framing through testing, deployment, adoption, and continuous improvement.
• Contribute to proposals, presentations, solution ideas, and reusable assets that help grow EY’s Data & AI practice.
• Stay curious and up to date on AI, generative AI, analytics, cloud, delivery methods, and relevant regulatory developments.

Skills And Attributes For Success

• 7+ years of experience in Data & AI, technology consulting, digital transformation, or technology-led business change.
• A strong technical foundation, ideally in computer science, engineering, data science, information systems, or a related field.
• Good understanding of AI, generative AI, analytics, data platforms, cloud services, automation, and emerging technologies.
• Ability to turn business needs into clear use cases and practical solution requirements.
• Experience working with clients and teams to manage priorities, delivery progress, risks, quality, and stakeholder expectations.
• Awareness of responsible AI, data governance, privacy, cybersecurity, and regulatory considerations for AI-enabled solutions.
• Strong communication, facilitation, problem-solving, and presentation skills, with the ability to engage both technical and business audiences.
• A collaborative mindset, with the confidence to coach junior colleagues, review deliverables, and contribute to proposals and practice development.

It will be considered a plus if you have experience in:

• AI governance, responsible AI frameworks, model risk management, EU AI Act readiness, or data governance operating models.
• Cloud data and AI platforms such as Microsoft Azure, AWS, or Google Cloud, including their analytics, AI, and integration services.
• Generative AI solutions, copilots, intelligent automation, conversational AI, knowledge management, or enterprise AI adoption programmes.
• Agile delivery, product ownership, change enablement, adoption planning, and benefits tracking for technology-enabled transformation.
• Building reusable consulting assets, methodologies, accelerators, and market-facing offerings for Data & AI services.

What We Offer You
At EY, we’ll develop you with future-focused skills and equip you with world-class experiences. We’ll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn more.

In addition to a competitive salary, our benefits include but are not limited to:

• 13th salary
• Provident Fund
• Private Medical and Life Insurance
• Flexible working arrangements (hybrid work and flexible work schedule)
• Friday afternoon off
• EY Tech MBA and EY MSc in Business Analytics
• EY Badges - digital learning certificates
• Mobility programs (if interested to work abroad)
• Paid Sick Leave
• Paid Paternity Leave
• Yearly wellbeing days off
• Maternity, Wedding and New Baby Gifts
• EY Employee Assistance Program (EAP) (counselling, legal and financial consultation services)

Are you ready to shape your future with confidence? Apply today.

To help create the best experience during the recruitment process, please describe any disability-related adjustments or accommodations you may need.

EY | Building a better working world

EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.

Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.

EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.

TradingView is the world’s largest financial analysis platform with more than 100M users across 180+ countries.

We build tools that help traders and investors make informed decisions — from advanced charting and market data to collaboration and publishing features. Our products are used daily by millions of individuals and trusted by companies like Revolut, Binance, and CME Group.

We’re continuing to grow and scale our platform, and we’re looking for people who care about product quality, take ownership of their work, and want to build systems used by a global audience.

About The Team
We develop and implement machine learning and AI solutions across a range of products: AI assistants, customer support chatbots, intelligent data processing, generative AI features, recommender systems, spam detection, search and other ML-powered modules.

Our goal is to build reliable ML and AI systems that solve real product problems — from experimentation and prototyping to production integration and continuous improvement.

Responsibilities

• Designing and implementing ML and AI modules for various products, from experimentation and prototyping to production integration
• Building solutions based on LLMs and other ML/NLP approaches for data processing, generation, search, assistants, bots, agents and automation
• Choosing and evaluating appropriate approaches — including external AI providers, open-source or self-hosted models, as well as traditional ML/NLP methods
• Contributing to the architecture of ML solutions, shaping technical approaches and engineering standards
• Preparing and processing data, training models, running A/B tests, and analyzing results
• Monitoring and improving model performance, interpreting model behavior and key metrics
• Evaluating AI-system quality, analyzing failure cases and improving models, prompts, data and system architecture
• Collaborating with product managers, engineers, and analysts to clarify requirements, integrate solutions, and evaluate their impact
• Working with MLOps infrastructure: CI/CD, monitoring, logging, containerization

What makes you the perfect fit

• 3+ years of experience in ML engineering and building production-ready ML systems
• Strong practical expertise in NLP, LLMs, AI assistants and related AI/ML areas
• Experience with both modern LLM-based systems and traditional ML/NLP approaches such as classification, ranking, retrieval, semantic similarity and information extraction
• Strong track record of delivering end-to-end ML solutions — from idea and data to production and support
• Proficient Python/Go skills and experience with production-grade development
• Experience evaluating ML/AI solutions and understanding their quality, reliability, latency and cost trade-offs
• Solid knowledge of A/B testing and result interpretation
• Experience in architectural decision-making and a drive to improve engineering practices
• Familiarity with tools like Docker, Kubernetes, CI/CD systems, monitoring (e.g. Prometheus, Grafana), and logging

Will be a plus

• Product-oriented mindset and understanding of business metrics
• Experience building real-time and high-load ML systems
• Experience with open-source or self-hosted models
• Familiarity with modern MLOps tools (e.g. MLflow, Airflow, Kubeflow)
• Experience evaluating the UX of AI-driven interactions

What we offer you

• Flexible working hours and a hybrid work format
• Well-equipped offices for focused and collaborative work
• A global, distributed team of 500+ professionals
• Learning, mentorship, and long-term career growth
• Relocation support and private health insurance
• Performance-based bonuses
• TradingView Premium access
• Regular team events and company-wide meetups

Join the TradingView team and help us build a product used by millions of traders and investors worldwide. We look forward to hearing from you!

TradingView is an equal opportunity employer. We embrace diversity and are dedicated to fostering a diverse and inclusive workplace. Our success is driven by 600+ professionals from 40+ countries who speak nearly 20 languages.

You will lead analytics for the
Services
cluster — the set of domains that protect trust, safety, and quality across every interaction on our platform. This is where the integrity of the marketplace is safeguarded and where millions of passengers and drivers experience inDrive as a safe and reliable place to be. Your teams will span five closely connected areas:
Watchdocs
(driver document verification and work with the compliance base),
Trust & Safety
(everything related to trust and safety in rides — incidents and safety features),
Customer Support
(both the product tooling for handling user requests and the automation of that work, plus WFM analytics of support agents' performance),
Customer Experience
(Voice-of-the-Customer feedback and connecting satisfaction metrics such as CSAT/DSAT to business metrics), and
Antifraud
(protecting rides, transactions, ratings, and more from abuse across inDrive).

You will build and manage a team that partners closely with
product, operations, support, and compliance
to turn a large volume of behavioral, operational, and feedback signals into decisions that reduce risk and improve experience at the same time. From detecting and quantifying fraud across rides and transactions, to measuring the real business impact of safety features and support automation, to linking customer-feedback metrics (CSAT/DSAT) with core business outcomes — your work will define how the company balances protection, cost, and user satisfaction.

In this role, you will act as a
strategic partner
to product and business leaders, as well as to Trust & Safety and Compliance stakeholders — shaping the analytics agenda for the Services cluster, defending its strategy in front of senior leadership, and building scalable processes, metrics, and standards that make trust and safety measurable across the whole platform.

Key Responsibilities

• Own the
  analytics strategy and roadmap
  for the Services cluster (Watchdocs, Trust & Safety, Customer Support, CX, Antifraud), align it with company-level priorities, and defend it in front of senior leadership
• Build, grow, and develop a
  team of 11+
  (analysts) — hiring, mentoring, and setting quality standards across the cluster
• Lead
  Antifraud analytics
  : detect and quantify fraudulent behavior across rides, transactions, and ratings; evaluate the effectiveness of anti-fraud rules and models and their trade-off with false positives
• Drive
  Trust & Safety analytics
  : measure incident rates, evaluate the impact of safety features, and help prioritize initiatives that reduce risk for passengers and drivers
• Oversee
  Customer Support analytics
  : assess support tooling and automation effectiveness, contact-rate drivers, resolution quality, and WFM analytics for agent capacity and performance
• Lead
  CX analytics
  : connect Voice-of-the-Customer metrics (CSAT/DSAT) to business outcomes such as retention and revenue, and turn feedback into prioritized product and operational actions
• Guide
  Watchdocs analytics
  : the document-verification funnel, compliance coverage, and the balance between compliance rigor and a smooth driver onboarding experience
• Define and
  standardize metrics, definitions, and monitoring
  across the cluster; ensure data quality in partnership with DWH, DS, and Engineering
• Establish best practices in
  experimentation (A/B testing), causal inference, forecasting, and effect measurement
  across the team
• Partner cross-functionally at the
  company level
  (Product & Tech & Business, DWH, DS, Engineering) and act as a trusted advisor to Head / Director / C-suite stakeholders

Skills, Knowledge and Expertise

• 6+ years of experience in data or product analytics, preferably in tech, ride-hailing, marketplace, or platform businesses
• 2+ years of people management, leading teams of 10+ people, including other managers or team leads
• Strong expertise in SQL and Python (or R), with a solid foundation in statistics and experimentation (A/B testing, causal inference)
• Proven ability to translate large volumes of behavioral, operational, and feedback data into decisions that balance risk, cost, and user experience
• Experience partnering with senior stakeholders (Head / Director / C-suite) and forming and defending strategy at the company level
• Proficiency in BI tools (Tableau, Looker, Redash, or similar)
• Strong communication skills and the ability to present complex findings clearly to both technical and non-technical audiences
• English proficiency at B2 or higher for international collaboration

Nice to Have

• Hands-on experience in one of the Services domains — Trust & Safety, Antifraud, Customer Support / WFM, CX / Voice-of-the-Customer, or compliance
• Experience with fraud / risk modeling, anomaly detection, or safety analytics
• Familiarity with text / sentiment analysis for customer-feedback data
• Experience scaling analytics across multiple countries and verticals

Why join us

• Help us challenge injustice by creating fair choices for millions of people across 48 countries
• Develop your professional skills with access to mentoring, career consulting, and learning programs
• Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program
• Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects
• Work alongside people who take initiative, speak openly, and challenge themselves to grow
• Improve your language skills through co-financed courses and internal speaking clubs

Final benefits may vary depending on the location.

The Role

Are you passionate about transforming complex data into intelligent, business-driven solutions? Do you enjoy solving challenging problems, developing cutting-edge machine learning models, and collaborating with highly skilled professionals?

We are looking for a
Senior Data Scientist
to join our growing Data Science team. In this role, you will play a key part in designing and delivering innovative data products that create measurable business impact. You'll work with large-scale datasets, advanced machine learning techniques, and modern technologies while collaborating with multiple teams, and business stakeholders to bring data-driven solutions into production.

What You'll Do

• Lead the design, development, and delivery of high-impact data science and machine learning solutions.
• Translate complex business challenges into structured analytical approaches and scalable data products.
• Build, evaluate, and optimize advanced machine learning models, ensuring high standards of quality, performance, and reliability.
• Contribute to technical decisions and best practices across the data science lifecycle.
• Review and validate data preparation, feature engineering, model selection, experimentation, and documentation.
• Support the deployment and operationalization of machine learning models in batch and real-time environments.
• Present analytical insights and recommendations to technical and non-technical stakeholders.
• Ensure compliance with data quality, model governance, security, privacy, and responsible AI standards.
• Identify opportunities to leverage data science for automation, forecasting, personalization, optimization, and risk management.
• Collaborate closely with Data Engineers, Machine Learning Engineers, Software Engineers, Product Owners, and business stakeholders to develop production-ready solutions.
• Contribute to improving team processes, technical standards, and project delivery methodologies.
• Support the Lead Data Scientist in defining priorities, roadmaps, and strategic initiatives.

What We're Looking For

• University degree in Mathematics, Physics, Engineering, Computer Science, Data Science, or a related field.
• At least
  5 years of experience
  in a similar role.
• Hands-on experience with Python libraries such as
  Pandas, NumPy, and Polars
  for data processing and analysis.
• Strong Python programming skills with the ability to write clean, maintainable, and production-ready code.
• Strong knowledge of modern machine learning techniques and advanced architectures, including
  Transformers
  and
  Graph Neural Networks (GNNs)
  .
• Experience with data visualization libraries such as
  Matplotlib, Seaborn, and Plotly
  .
• Good knowledge of SQL and statistical analysis.
• Excellent analytical thinking and problem-solving skills.
• High attention to detail and commitment to delivering high-quality solutions.
• Strong communication skills with the ability to explain technical concepts to non-technical audiences.
• Excellent verbal and written communication skills in English.
• A collaborative mindset, curiosity, and a passion for continuous learning.

Nice to Have

• Exposure to Natural Language Processing (NLP).
• Experience working with NoSQL databases.
• Knowledge of software engineering best practices.
• Experience working in Unix/Linux environments.
• Basic understanding of AWS services and cloud-based machine learning environments.

Benefit from:

• Attractive remuneration package plus performance related reward
• Private health insurance
• Corporate pension fund
• Intellectually stimulating work environment
• Continuous personal development and international training opportunities

The Hiring Experience: What Awaits You:

• Let’s Connect – Intro Chat with Talent Acquisition
• Deep Dive – First Interview with Your Future Team
• Bring It to Life – Role-Specific Take-Home Task
• Final Connection – Final Interview