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Data Scientist

Data Scientist

Senior Applied AI Researcher, Vice President

BlackRock

Budapest

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Role description

About This Role
We are looking for a
Senior Applied AI Researcher (6+ years of experience)
to join our data science team working on advanced
AI-driven solutions
. This is primarily an
individual contributor role
, with responsibility for owning end-to-end ownership of complex modelling / AI problem areas and technical ownership of AI capabilities critical to the product.

The role focuses on the
research, prototyping, evaluation, and improvement of AI solutions
, with hands-on work across
LLM-based systems
, including
agent-style workflows and retrieval-augmented generation (RAG)
where appropriate. You will work end-to-end: collaborating with stakeholders and product managers to define problems, building and validating prototypes, presenting findings to diverse audiences, and supporting engineering teams during implementation and production rollout.

Key Responsibilities
End-to-end AI solution ownership

  • Own AI projects or functional modules from problem definition through prototype validation and production support.
  • Partner with product managers and business stakeholders to translate real-world problems into clearly scoped data science and AI initiatives.
  • Independently plan and execute research, experimentation, and iteration cycles in ambiguous problem spaces.
  • Design AI solutions with a system‑level perspective, ensuring scalability, maintainability, and long‑term sustainability.

Applied AI, LLMs, and agentic systems

  • Design and prototype LLM-powered solutions, including RAG-based systems and agent-like workflows (e.g. tool use, orchestration, multi-step reasoning).
  • Contribute to defining system behavior, scope, and constraints, with attention to quality, robustness, and operational considerations.
  • Stay current with emerging AI techniques and apply them pragmatically to solve business problems.

Evaluation, validation, and performance improvement

  • Build and maintain evaluation frameworks to assess AI system performance (accuracy, reliability, relevance, robustness, safety).
  • Develop quantitative and qualitative metrics, benchmarks, and testing approaches to validate prototypes and track improvements.
  • Analyze existing solutions to identify gaps and drive continuous, data-driven performance enhancements.

Collaboration and communication

  • Work closely with data scientists, engineers, and product teams to ensure smooth transition from prototype to production.
  • Clearly communicate methods, assumptions, results, and limitations to technical and non-technical audiences.
  • Support engineering teams during implementation by clarifying evaluation criteria, edge cases, and expected system behavior.
  • Serve as a technical authority and actively mentor junior data scientists, shaping best practices in experimentation, evaluation, and AI system design.

Ways of working

  • Contribute actively within an Agile / SCRUM development environment.
  • Apply good engineering hygiene in research and prototype code to enable reproducibility and collaboration.

Required Qualifications

  • 6+ years of experience in data science, applied machine learning, or a closely related role.
  • Strong mathematical, statistical, and machine learning foundations, including probability, statistics, optimization, and model evaluation.
  • Proven ability to select, apply, and critically evaluate ML models and algorithms for real-world problems.
  • Strong Python skills for analysis, modelling, experimentation, and prototyping.
  • Strong SQL skills for data exploration, transformation, and analytical workflows.
  • Excellent analytical thinking and problem-structuring abilities; comfort operating independently with loosely defined goals.
  • Experience using Git for version control and collaborative development.
  • Strong English communication skills, both written and verbal.

Preferred Qualifications (Strong Plus)

  • Hands-on experience with LLMs, including prompt/system design and building real-world applications.
  • Experience with RAG systems, including retrieval strategies, chunking, evaluation, and performance tuning.
  • Experience designing or contributing to agent-style AI systems and familiarity with concepts such as agent evaluation, guardrails, and reliability testing.
  • ML modeling experience (e.g. supervised learning, ranking, classification) beyond exploratory analysis.
  • Understanding of software engineering best practices, including testing strategies and CI/CD concepts.
  • Experience working in Azure or similar cloud environments.
  • Familiarity with Snowflake (and optionally Snowflake AI) as part of a modern data stack.
  • Experience collaborating closely with domain experts; financial domain exposure is a plus but not required for strong technical candidates.

What Success Looks Like In This Role

  • You independently deliver high-quality AI prototypes and evaluation frameworks for a defined subdomain or application module.
  • You proactively define scope, success metrics, and experimentation plans, helping shape architecture and design decisions.
  • Your evaluation approaches enable reliable comparison, regression prevention, and continuous improvement of AI solutions.
  • Engineering teams can confidently productionize your work thanks to clear designs, metrics, and collaboration.
  • Over time, you raise the technical maturity of AI development and evaluation practices within the team.

The salary range for Hungary is 20100000 - 32400000 HUF

Additionally, employees are eligible for an annual discretionary bonus, and benefits including healthcare, leave benefits, and retirement benefits. BlackRock operates a pay-for-performance compensation philosophy and your total compensation may vary based on role, location, and firm, department and individual performance.

Our Benefits
To help you stay energized, engaged and inspired, we offer a wide range of employee benefits including: retirement investment and tools designed to help you in building a sound financial future; access to education reimbursement; comprehensive resources to support your physical health and emotional well-being; family support programs; and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about.

Our hybrid work model
BlackRock’s hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person – aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock.

Guidance on AI use for candidates
At BlackRock, AI has long been part of how we work – enhancing decision-making, improving operations, and helping us deliver better outcomes for clients. We encourage candidates to use AI thoughtfully to learn, prepare, and work more effectively; but during our interview process, we want to focus on getting to know you through your own experiences, thinking, and judgment. To support you, we’ve provided
guidance
on when and how to use AI during our hiring process so you can approach each step with confidence and showcase your best self.

About BlackRock
At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being. Our clients, and the people they serve, are saving for retirement, paying for their children’s educations, buying homes and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress.

This mission would not be possible without our smartest investment – the one we make in our employees. It’s why we’re dedicated to creating an environment where our colleagues feel welcomed, valued and supported with networks, benefits and development opportunities to help them thrive.

To learn more about BlackRock, please visit Careers.BlackRock.com. We also encourage you to get to know us on LinkedIn, Instagram, YouTube, X, and TikTok.

BlackRock is proud to be an Equal Opportunity Employer. We evaluate qualified applicants without regard to age, disability, race, religion, sex, sexual orientation and other protected characteristics at law.

This is a saved copy of a posting published elsewhere. Postings get taken down without notice — check the employer's site before applying. mentors.coach is not the hiring party.

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Data Scientist

Senior Forecasting Manager

Wizz Air

Budapestsenior

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Role description

Wizz Air is a leading European low-cost airline. Our mission is to provide affordable and reliable air travel to everyone, everywhere, while minimizing our environmental impact. We are proud to foster a diverse and inclusive team of over 8,000 employees from more than 110 nationalities, who share our values of inclusivity, positivity, dedication, integrity, and sustainability.

As a rapidly expanding airline, we offer exciting career opportunities across a range of functions, from flight operations to engineering, customer experience, finance, and more. We provide extensive training and development opportunities to help our employees grow and succeed in their roles. Joining Wizz Air means joining a team that is passionate about aviation, dedicated to excellence, and committed to making air travel accessible and sustainable for all. If you are looking for a challenging and rewarding career in the aviation industry, we welcome you to explore our job opportunities and become a part of our success story.

Senior Forecasting Manager
Based in Budapest

Purpose of the role
Drive the airline's revenue forecasting and budgeting processes by coordinating and developing effective procedures. Collaborate with cross-functional teams to optimize capacity, establish systematic, data-driven processes, and enhance forecasting accuracy. Provide leadership and direction to the team of Forecasting Managers.

What We Offer

  • Base salary and employee bonus scheme
  • Unlimited number of significantly discounted and confirmed seating tickets, giving access to a continuously growing network of destinations
  • Relocation package (if applicable)
  • Life insurance
  • AYCM sport pass contracting possibility
  • Instant impact, from any level of the organisation, exposure to C-suite management
  • Fast career progression, internal mobility and talent management supported by training opportunities (Wizz Academy and bespoke trainings)
  • True international and multi-cultural work environment, passionate, driven and diverse teams

Responsibilities

  • Lead the design and implementation of revenue forecasting procedures to support strategic planning.
  • Develop revenue projections by analyzing forward bookings and evaluating sales trends.
  • Build long-term route-level forecast based on regression model using macro factors.
  • Lead revenue budgeting process.
  • Cooperate with the Network team on capacity optimization, simulating revenue impact of capacity scenarios.
  • Cooperate with Data Science to set up systematic processes to improve forecasting accuracy.
  • Work with Pricing & Revenue Management team to incorporate market intelligence and pricing strategies info forecasting models.
  • Lead and oversee a team consisting of three Revenue Forecasting Managers, ensuring alignment with strategic objectives.

Experience
5-7+ years working experience, with 3+ years of experience in forecasting and modeling, 2+ years of people leadership

Hard Skills

  • Outstanding analytical skills
  • Experience in working with and interpreting data and analytics.
  • Proficient in MS Excel/PowerPoint.
  • Additional technical skills a plus: VBA, PowerBI, SQL, Python.
  • Good understanding of core economic concepts and principles.
  • Strong commercial acumen
  • Advanced applied mathematics is a plus

Education
Bachelor's or Master's degree

Language
Fluent in English (both spoken and written)

Skills And Competencies

  • Structured thinking, ability to break down complex problems and explain them clearly.
  • Strong presentation skills.
  • Desire to learn more about the low-cost airline and travel industry as well as to develop analytical and managerial skills.
  • Comfortable with uncertain and rapidly changing business environment.
  • Ability to work under pressure.
  • Proactive, willing to take initiative and shoulder responsibility.
  • Able to lead and energize the team

When applying, please only provide valid information regarding your educational background and certificates, as the original documents will be requested during the hiring process.

We look forward to meeting you and learning more about your skills and experience. Join the Wizz Air team and discover the world of opportunities.

This is a saved copy of a posting published elsewhere. Postings get taken down without notice — check the employer's site before applying. mentors.coach is not the hiring party.

Data Scientist

Data Analyst Quality Management Specialist

DHL Supply Chain

Budapest

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Role description

At DHL Group, we are committed to continuously improving the quality, efficiency, and digitalization of our HR services. We are looking for an experienced and analytical Quality & Data Specialist to join our team and help drive process optimization, quality assurance, and automation initiatives across our HR Shared Services environment.

What will you do?

  • Analyze complex datasets and derive actionable quality improvement measures.
  • Support internal and external audits across various operational locations.
  • Prepare and analyze quality metrics to support management decision-making and strategic planning.
  • Conduct process observations to identify quality improvement and optimization opportunities.
  • Develop, implement, and maintain system-supported and automated testing solutions.
  • Ensure the quality and continuous improvement of existing and future virtual assistants.
  • Facilitate workshops, deliver presentations, and drive stakeholder engagement.
  • Collaborate on cross-functional projects and digitalization initiatives.

What are we looking for?

  • Experience in quality management, process improvement, analytics, or a similar role.
  • Excellent communication skills in German, you will work with German colleagues.
  • Communicative English language skills
  • Strong analytical skills with experience in data analysis especially in Excel.
  • Experience with Celonis.
  • Strong interest in digitalization, automation, and process optimization.
  • Proactive mindset, problem-solving ability, and strong stakeholder management skills.

What do we offer?

  • Annual cafeteria allowance of HUF 500,000.
  • Hybrid working model.
  • Opportunity to contribute to large-scale digitalization and transformation projects.
  • Professional development and certified training opportunities.
  • International and collaborative working environment.
  • Open feedback culture and supportive team atmosphere.
  • Additional wellbeing and employee benefit programs.

Place of work: Budapest

This is a saved copy of a posting published elsewhere. Postings get taken down without notice — check the employer's site before applying. mentors.coach is not the hiring party.

Data Scientist

Reporting Fleet Business Analyst

bp

Budapest

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Role description

Entity
Finance

Job Family Group
Business Support Group

Job Description
Our purpose is to deliver energy to the world, today and tomorrow. For over 100 years, bp has focused on discovering, developing, and producing oil and gas in the nations where we operate. We are one of the few companies globally that can provide governments and customers with an integrated energy offering. Delivering our strategy sustainably is fundamental to achieving our ambition to be a net zero company by 2050 or sooner.

It's an exciting time to join bp. Meeting the energy challenge requires many different approaches and solutions. And as part of Finance Business & Technology (FBT), you’ll be fully connected into the world of bp. You’ll play an increasingly important part within a network of like-minded colleagues partnering on strategic projects that stretch across the globe. And it starts with you. There’s a world of opportunities to build new skills, challenge yourself and grow a long-term career at bp. And no matter where you work, your role will have meaning, purpose and impact. So, if you want to be part of a caring, supportive environment where you can realize your full potential, we’re with you.

About The Role
Reporting to the FBT Process Implementation Manager, providing strategic and operational analytical support for ESA Fleet organization. Designing, developing and maintaining Reporting_PowerBI solutions to meet the data visualization and analysis needs of sales and FBT customer organization.

In this role You will

  • Adhering with the tasks outlined in the EMS/QMS Systems of GBS Europe
  • Producing core performance data and reports for key stakeholders to an agreed schedule, including daily, weekly, monthly, quarterly, and annual business, sales, performance, and adherence report. Provision of ad-hoc reports and analysis as required and ensuring reports are produced to a high standard.
  • Preparing management information and reports for performance board and senior management committees and meetings. Participate on these performance evaluations, business conversations. Represents the teams and flags and raises any positive and negative trends in the performance. Suggests mitigation or extension plans.
  • Leading the delivery of improvements in performance Ml and KPls and providing inputs into the development of annual plans for Fleet M&C EU and FBT Customer Fuels Operations and enabling functions
  • Carry out ad-hoc studies and analysis to support specific initiatives.
  • To track core performance metrics and develop recommendations and actions to drive performance improvements.
  • Develop, maintain, and adjust standardized reports where possible to achieve consistency and efficiency
  • Finding opportunities for continuous improvement within the Fleet Reporting Team, and driving the implementation of these changes
  • Maintaining a good working relationship with the data sources across the organization both internally and externally
  • Manage deadlines and ensure that all activities in the related field, that directly affect internal or external customer relationships or the outputs of the FBT Europe Customer Fuels Operations teams and Fleet M&C Europe are of the highest quality.
  • Being a high contributor and a local leader of the global community of reporting tools (like SAP Business Objects, MS Power Bl) and Data Warehouse / Data Lake initiatives; be a main contributor for transformation, standardization and simplification changes, initiatives
  • Initiate, drive analysis, present the Ml results to the operational and business stakeholders and suggest improvement areas or adherence and performance issues.
  • Be one of the SPOCs and main contributors when coming to new projects and team participation.
  • Transform raw data into meaningful insights through the creation of charts, graphs, maps, and other visualizations.
  • Other duties as assigned.

What You Will Need To Be Successful

  • University degree in Engineering / Management / Data Analytics (or equivalent).
  • Several years of experience in Data Analyst/Reporting Roles
  • PowerBI knowledge is mandatory
  • DAX, SQL and data modeling, Power Query M knowledge is mandatory
  • Excellent written and verbal communication skills in English.
  • Ability to communicate effectively and concisely with technology staff and business stakeholders at multiple levels.
  • Stakeholder management and project management skills
  • Proven track record in delivering innovative technological solutions.
  • Capability to work independently with minimal direction within a clear framework of accountability. Takes initiative, follows work plans, and monitors progress against objectives.
  • Experience working with remote stakeholders and teams, including managed service providers.
  • Demonstrated quantitative, analytical, testing, and problem-solving skills with attention to detail.
  • Solid knowledge of Microsoft environment: MS365, Azure, Power BI, Fabric, Power Query, Power Automate.
  • Advanced Excel skills (macro writing ability – VBA is an advantage)
  • Ability to adapt to new challenges and learn new techniques rapidly in a fast-paced environment.
  • Experience with Salesforce and SAP modules.
  • A passion for continuous learning and skill improvement.
  • Deep knowledge and hands-on experience with technologies across all data lifecycle stages.

At bp, we provide the following environment & benefits to you

  • Different bonus opportunities based on performance, wide range of cafeteria elements
  • Life & health insurance, medical care package
  • Hybrid working arrangement aligned with team arrangements and business needs
  • Opportunity to build up long term career path and develop your skills with wide range of learning options
  • Celebrate in bp’s success. You may be eligible to join bp’s Global ShareMatch plan. This non-contractual benefit lets employees buy bp shares and receive matching shares, in line with plan rules
  • Family friendly workplace e.g.: Extended parental leave, Mother-baby room
  • Employees’ wellbeing programs e.g.: Employee Assistance Program, Company Recognition Program
  • Possibility to join our social communities and networks
  • Chill-out and collaboration spaces in our beautiful Budapest Agora and Szeged offices e.g.: Play Zones, Office massage, Sport and music equipment

bp Hungary won the Most Attractive Employer 2024 Award (SSC / BSC sector) fourth time in a row at PwC's annual employer research. Come and join us!

At bp, we support our people to learn and grow in a diverse and ambitious environment. We believe that our team is strengthened by diversity. We are committed to fostering an inclusive environment in which everyone is respected and treated fairly. There are many aspects of our employees’ lives that are meaningful, so we offer benefits to enable your work to fit with your life.

Disclaimer: Please note that, according to Hungarian law (2012/I. 113.

  • ), mothers or single parents caring for a child under three years of age cannot be employed in night shift positions.

We are an equal opportunity employer and value diversity at our company. We do not discriminate based on race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform crucial job functions, and receive other benefits and privileges of employment.

Travel Requirement
No travel is expected with this role

Relocation Assistance:
This role is not eligible for relocation

Remote Type
This position is a hybrid of office/remote working

Skills
Legal Disclaimer:
We are an equal opportunity employer. We do not discriminate on the basis of protected characteristics like race, religion, color, sex, national origin, sexual orientation, veteran status or disability status. Individuals with an accessibility need may request an adjustment/accommodation related to bp’s recruiting process (e.g., accessing the job application, completing required assessments, participating in telephone screenings or interviews, etc.). If you would like to request an adjustment/accommodation related to the recruitment process, please contact us.

If you are selected for a position and depending upon your role, your employment may be contingent upon adherence to local policy. This may include pre-placement drug screening, medical review of physical fitness for the role, and background checks.

This is a saved copy of a posting published elsewhere. Postings get taken down without notice — check the employer's site before applying. mentors.coach is not the hiring party.

Data Scientist

Adatelemző (Snowflake)

wherewework Jobs

Budapest

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Role description

wherewework.hu a

Technology & Software Employers in Hungary
nevében

Érdeklik a(z) Adatelemző (Snowflake) állások Magyarország területén? Jó helyen jár.

Az adat- és gépitanulás-alapú munkakörök gyorsan bővülnek Magyarország területén, amit az analitikai modernizáció és a pénzügy, a távközlés és a szolgáltatóközpontok AI-bevezetése hajt. Budapest koncentrálja a legtöbb nyitott pozíciót az országban. Az egyetemi adattudományi képzések egészséges tehetségpiacot táplálnak.

A továbblépéshez egyszerűen töltse fel önéletrajzát a wherewework oldalára, és mi segítünk összekapcsolni valódi Adatelemző (Snowflake) álláslehetőségekkel valódi cégektől, beleértve az éppen megtekintett pozíciót is.

Így működik:

  • Töltse fel egyszer az önéletrajzát. Kattintson az "Jelentkezés" gombra ebben az ablakban. Csak egy pillanat, és lehetővé teszi, hogy profilját releváns Adatelemző (Snowflake) lehetőségekkel párosítsuk.
  • Valódi, a tapasztalatához illő szerepekkel párosítjuk. Amikor a cégek az Ön készségeihez illő Adatelemző (Snowflake) pozíciókat nyitnak, kiválasztjuk Önnek a legjobb lehetőségeket.
  • Ön végig kézben tartja az irányítást. Mielőtt önéletrajzát bárkivel megosztanánk, értesítjük a pontos álláscímmel és cégnévvel, és megerősítést kérünk.
  • Csak a megerősített jelentkezéseket küldjük el a munkáltatóknak. Miután jóváhagyta, a munkáltató megkapja a jelentkezését, és közvetlenül felveheti Önnel a kapcsolatot.

A(z) Adatelemző (Snowflake) szerepeknél Budapest területén a fizetés jellemzően havi 680 000 HUF és 1 450 000 HUF bruttó között mozog, átlagosan körülbelül 1 060 000 HUF bruttó értékkel. A produkciós ML-tapasztalat, a felhős adatplatformok és az alkalmazott AI-készségek hozzák a legmagasabb ajánlatokat.

Amíg itt van, fedezze fel a wherewework oldalt, hogy megtudja, milyen valójában Magyarország vezető technológiai cégeinél dolgozni, interjútapasztalatokon, munkavállalói véleményeken és közösségi visszajelzéseken keresztül.

This is a saved copy of a posting published elsewhere. Postings get taken down without notice — check the employer's site before applying. mentors.coach is not the hiring party.

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Senior Applied AI Researcher, Vice PresidentBlackRock · Hungary

Apply on the employer's site