Konsultant Ds Analizy Danych - Tax People Advisory Services Warszawa jobs at Ey in Poland, Warsaw

Your key responsibilities

As an assistant manager, you will identify business processes ripe for AI automation and assess technical feasibility. You will build business cases outlining value realization, ROI, and performance metrics. You will be responsible for design and develop AI-powered software solutions (custom tools, APIs, integrations). Will also Lead end-to-end implementation: architecture, development, testing, and deployment. You will work with stakeholders to ensure alignment with business goals and IT standards.Keep up with emerging technologies in AI, ML, and intelligent automation.

Skills and attributes for success

• 5+ years of experience in software engineering with a focus on AI/automation projects.
• Strong coding skills in Python and/or other relevant programming languages.
• Experience with AI/ML frameworks (e.g., PyTorch, TensorFlow), APIs, and data pipelines.
• Proven ability to deliver production-grade software solutions end-to-end.
• Solid understanding of systems architecture, cloud platforms (e.g., Azure, AWS), and DevOps practices.
• Strong communication skills and the ability to present complex ideas to stakeholders.

What we offer you

To ensure an equitable recruitment process, please inform us of any disability-related adjustments or accommodations you may require.

Your key responsibilities

• Performs Configuration/Customization of the ServiceNow system, including creation workflows
• Builds service request fulfilment workflow from customer requirements including requests, request items and tasks using workflows, UI actions, client scripts, business rules, etc
• Uses scripting tools and Service Now functionality to automate rote tasks
• Performs integrations and process automation using Orchestration, Web Services, Soap calls, etc.
• Gathers specifications from the business departments and delivers a product/release that meets the needs presented. Interprets business and functional requirements and develops technical specifications documentation
• Load, manipulate and maintain data between Service-now and other systems as needed
• Work with business liaison to generate dashboards, home pages, performance analytics data collectors and reports as needed
• Must analyse and fully understand user stories and internal procedures in order to improve system capabilities, automate process workflows and address scheduling limitations throughout the development and delivery of the ServiceNow releases
• Performs system and integration testing with sample and live data

Skills and attributes for success

• Authentication protocols such as Active Directory / LDAP or SiteMinder federation /Azure
• Disciplined Agile Delivery software release build/deploy processes
• Integrating with internal and external applications and systems
• JavaScript, HTML, Angular JS and good web design practices
• Service Portal implementation experience
• Implementation experience on any of the following applications like ITSM, IRM, SecOps, ITOM, Service Portal.
• Implementation experience on Performance Analytics.

To qualify for the role, you must have

• College degree in related technology field (Computer, Engineering, Science, etc.) or comparable job experiences
• ServiceNow CSA Certification is must
• Approximately 2 to 3 years of experience in a development role. Able to exhibit a progression of increasingly complex job responsibilities during the period
• ServiceNow CIS certifications a plus

Ideally, you’ll also have

• Experience on SDLC or TFS or JIRA or equivalent tool to maintain stories.
• Knowledge about ServiceNow’s latest version’s features.

What we look for

• A Team of people with commercial acumen, technical experience and enthusiasm to learn new things in this fast-moving environment
• An opportunity to be a part of market-leading, multi-disciplinary team of 250+ professionals, in the only integrated global transaction business worldwide.
• Opportunities to work with EY ServiceNow practices globally with leading businesses across a range of industries

You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer:

• Support, coaching and feedback from some of the most engaging colleagues around
• Opportunities to develop new skills and progress your career
• The freedom and flexibility to handle your role in a way that’s right for you.

EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.

Your key responsibilities:

• Participation in projects in the field of risk management, regulatory compliance and optimization of business processes using data analysis methods.
• Creating comprehensive analyses to identify and interpret trends or patterns in complex data sets.
• Ability to understand and respond to client needs while keeping up-to-date with the latest AI and machine learning trends used for preventing financial crimes.
• EY.AI - in this role, your capabilities are augmented by artificial intelligence. With AI-powered solutions your analyses, insights and innovative ideas will reach a higher level. Starting with a series of training sessions, you will then use EYQ - your virtual assistant, along with other unique tools often available exclusively at EY. We continuously invest in innovation to provide you with a work environment where you can focus on the most interesting aspects of your job and create the best solutions for clients.

Skills and attributes for success:

• Ability to research client inquiries and understand emerging issues in financial crimes compliance, including regulations, industry practices, and new technologies.
• Willingness to travel as needed to meet client requirements.
• Strong analytical thinking, creativity and problem-solving skills.
• Ability to convey and present complex findings in an easy-to-understand manner.

To qualify for the role, you must have:

• University degree or final-year studies in econometrics, financial technology, computer science, data science or a related quantitative field.
• Practical competency in Python/Java/Scala and Spark, and ability to work with DataFrames.
• Good knowledge of SQL and relational databases.
• Proficiency in MS Excel.
• Strong verbal and written communication skills in English.
• Highly developed analytical and problem-solving skills; attention to data quality.
• High standard of integrity and confidentiality.

Ideally, you’ll also have

• Foundations of AI/ML (e.g., linear/logistic regression, decision trees, train/test split, cross-validation).
• Exposure to AML/Financial Crime topics: Transaction Monitoring, KYC/KYB, Sanctions Screening
• Experience with cloud analytics (preferably Azure/Databricks) and distributed processing (e.g., Spark).
• Familiarity with containerization (e.g., Docker) and common data/BI tools (Power BI/Looker/Tableau, Jupyter/VS Code).
• Experience with other languages or stacks (R/SAS/VBA) as a plus.
• Basic familiarity with Git.
• German language skills as a plus.

Your previous experience:

• University degree (preferred fields: mathematics, physics, computer science, economics/econometrics, quantitative methods, or related STEM disciplines).
• Academic projects completed within student associations/scientific circles (student clubs/research groups).

We also value:

• Knowledge of economics, finance, or accounting.
• Prior professional experience in banking, risk management, or data analytics.
• Experience in building or validating quantitative models.

We act as trusted advisers, delivering comprehensive tax advisory services that include:

• Tax-efficient value extraction and creation
• Reorganisations and transactions
• International tax advisory
• Ongoing maintenance of client tax structures

Our services span compliance, residence and domicile issues, wealth optimisation, and estate and succession planning. With a diverse UK and non-UK domiciled client base, we frequently provide cross-border tax support through EY’s international network.

• Experience advising a range of clients (AIM-listed, PE-backed, family-owned, and OMBs)
• Creative and pragmatic problem-solver

Your key responsibilities

• Build and maintain trusted client relationship
• Proactively identify and pursue new business opportunities
• Manage and deliver technically complex tax consulting projects with a practical, business-focused approach. Supervise, coach, and mentor junior team members
• Contribute to people initiatives, including team development, training, and retention

About you

• Client-focused with strong strategic and commercial awareness
• Excellent tax technical knowledge
• Strong relationship management and communication skills (written and verbal)
• Confident negotiator with the ability to sustain and articulate opinions effectively

• Proven business development capability — identifying and converting opportunities

• Effective time and project management skills; able to meet deadlines and monitor budgets
• Creative and pragmatic problem-solver
• Collaborative team player with a proactive approach and positive attitude
• Experience advising a range of clients (AIM-listed, PE-backed, family-owned, and OMBs)

Qualifications

• ACA / CTA / Tax Inspectors qualification (with full technical training), Law qualification, or equivalent tax specialist qualification
• Strong tax technical and business development skills
• Experience coaching and developing junior staff

What We Offer

• Global Exposure: Work with international clients and collaborate across EY’s global network.
• Career Progression: Lead high-impact projects and shape your professional journey.
• Support & Coaching: Learn from industry leaders and receive ongoing mentoring.
• Flexible Working: Hybrid model (minimum two days in the office) with a focus on work-life balance.
• Total Rewards: Competitive salary, comprehensive benefits, and exclusive EY perks.
• Inclusive Culture: A workplace where you belong, feel valued, and can thrive.

To help create the best possible experience during the recruitment process, please let us know if you require any disability-related adjustments or accommodations.

Objectives and Purpose

• The Lead Data Scientist is responsible for applying expertise and best practices in full-stack data science capabilities including advanced data analytics, statistical modeling (AI/ML), MLOps, data engineering, and data visualization to develop data-driven solutions to enable business insights. This individual partners closely with Business Unit Leaders to model complex problems, derive analytical conclusions, and identify opportunities for improvement.
• The Lead Data Scientist will:
• • Apply strong expertise in artificial intelligence through use of machine learning, data mining, and information retrieval to design, prototype and build next generation advanced analytics engines and services.
  • Translate processes and requirements into analytical solutions and metrics, that can contribute towards data-driven solutions and strategies for the business.
  • Develop user friendly analytical models for the business to provide data driven actionable insights which would enable a more informed decision-making.

Data Science

• Develop customer-centric solutions with recommended data model and business intelligence (BI) technologies.
• Create repeatable, interpretable, dynamic, and scalable statistical models that are seamlessly incorporated into analytic data products, ability to discover correlations between variables and generate predictions/forecasts of data-driven decisions.
• Extract, transform, and load data from one data source (e.g., Databricks) into a single, consistent data source for data modelling and workflow orchestration purposes (i.e., representations of data flows and relationships).
• Advocate and educate on the value of data-driven decision making with focus on “how and why” of solving problems.
• Oversee forecasting models that process and analyze large quantities of data to identify key trends and business insights.
• Review and refine data visualizations that are detailed, clear, multi-faceted, and user-focused to effectively communicate data insights throughout a narrative.

Relationship Building and Collaboration

• Collaborate with business partners to identify analytical improvement opportunities based on defined pain points, problem statements, scope, and analytics business case.
• Strategize with IT Development Teams to develop a standard process to collect, ingest, and deliver data along with proper data models.
• Lead team members in defining business requirements, facilitating workshops and/or prototyping sessions focused on enhancing analytics product functionality.
• Collaborate with internal and external partners to develop analytics that advance end-to-end Data Science solutions and practices.
• Coordinate with DevOps, Database Teams to ensure proper design of system databases and integration with enterprise applications.
• Design data visualization solutions, with Enterprise Data and Analytics Team, that synthesize complex data for data mining, discovery.

Technical/Functional Expertise

• Experience and understanding of current and emerging data, digital, and IT technologies (i.e., generative AI), as well as analytics processes and service models.
• Proficiency in Data Analysis and Visualization, analyzing and interpreting large datasets using AI and machine learning techniques.
• Understanding of AI concepts, algorithms, and machine learning models and the ability to apply AI technologies to solve business problems.
• Ability to leverage generative models to create synthetic data, simulate scenarios, or analyze outputs into actionable insights.
• Ability to identify actionable insights from data and provide recommendations.
• Strong business acumen with knowledge of the Pharmaceutical, Healthcare, or Life Sciences sector is a plus, but we also value perspective gained from other sectors.

Leadership

• Strategic mindset of thinking above the minor, tactical details and focusing on the long-term, strategic goals of the organization.
• Advocate of a culture of collaboration and psychological safety.
• Decision-making and Autonomy
• Play a lead role in decision-making processes by providing data-driven insights and solutions.
• Shift from manual decision-making to data-driven, strategic decision-making.
• Proven track record of applying critical thinking to resolve issues and overcome obstacles.

Interaction

• Proven track record of collaboration and developing strong working relationships with key stakeholders by building trust and being a true business partner.
• Lead analytical approaches, integrating work into applications and tools with data engineers, business leads, analysts, and developers.
• Demonstrated success in collaborating with different IT functions, contractors, and constituents to deliver technical solutions that meet Takeda technology standards and security measures.
• Ability to work alongside intelligent machines and humanize data and insights.
• Passion for teaming, coaching, and learning with a growing team of Data Scientists.

Innovation

• Passion for re-imagining new solutions, processes, and end-user experience by leveraging advanced technologies (i.e., generative AI/ML), effective statistical models, and enterprise analytics platforms and tooling to support BI solutions and drive business results
• Advocate of leveraging intelligent machine learning/AI to effectively work alongside technology, humanize data and insights, and mature business capabilities
• Advocate of a culture of growth mindset, agility, and continuous improvement

Complexity

• High multicultural sensitivity to effectively lead teams
• Takes initiative to anticipate challenges and take proactive measures in addressing complex problems.

Essential skillsets

• Bachelor’s degree in Data Science, Computer Science, Statistics, or related field
• At least 3-5 years of experience of data mining/data analysis methods and tools, building and implementing models, and creating/running simulations
• Familiarity with AI libraries and frameworks
• Experience and proficiency in applied statistical modeling (e.g., clustering, segmentation, multivariate, regression, etc.
• Demonstrated understanding and experience using:
• • Data Engineering Programming Languages (i.e., Python, Pyspark)
  • Distributed Data Technologies (e.g., Spark, Hadoop, H20.ia, Cloud AI platforms)
  • Data Visualization tools (e.g., Tableau, R Shiny, Plotly)
  • Databricks/ETL
  • Statistical Model Packages (MLib/SciKit-Learn, Statsmodels)
  • GitHub
  • Excel
• Creating new features by merging and transforming disparate internal & external data sets
• Strong organizational skills with the ability to manage multiple projects simultaneously and operate as a leading member across globally distributed teams to deliver high-quality services and solutions
• Processes proficiency in code programming languages (e.g., SQL, Python, Pyspark, AWS services) to design, maintain, and optimize data architecture/pipelines that fit business goals
• Excellent written and verbal communication skills, including storytelling and interacting effectively with multifunctional teams and other strategic partners
• Demonstrated knowledge of relevant industry trends and standards
• Strong problem solving and troubleshooting skills
• Ability to work in a fast-paced environment and adapt to changing business priorities

Desired skillsets

• Degree in Data Science, Computer Science, Statistics, or related field
• Advanced experience in developing and applying predictive modelling, deep-learning, or other machine learning techniques
• Demonstrated understanding and experience in IICS/DMS (Data migration service)
• Experience in a global working environment
• Experience in solution delivery using common methodologies, especially SAFe Agile but also Waterfall, Iterative, etc.

Travel requirements

• Access to transportation to attend meetings
• Ability to fly to meetings regionally and globally

EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.

Senior Manager, Internal Audit, Banking & Capital Markets

We have an unparalleled understanding of the evolving requirements and expectations of Internal Audit. EY is the only professional services firm to have supported the development of the UK Chartered Institute of Internal Auditors (CIIA) Financial Services Code in 2013, and the 2017 and 2024 refresh.

Your key responsibilities

Here, you’ll work with a portfolio of clients, each with their own backgrounds, strengths, and ambitions where we work with Boards, Audit Committees, Chief Audit Executive, Controls officers and their teams across an array of Financial Service clients. The variety of challenges and clients will give you the opportunity to stretch your career.

You will be able to deliver quality, insightful solutions, generate new ideas and balance priorities between delivery, business, personal and team development.

Join us and you'll work on challenging projects and accelerate your career within a supportive team. You'll also be introduced to career challenges that will take you into exciting new professional territory.

Your goal will be to help clients achieve their potential - and you can expect to do the same. As part of a supportive team, you'll have every opportunity to progress and build knowledge that will make a difference to your entire career.

As a key part of the team you will:

• Be empowered to lead a range of projects / initiatives to deliver value and successful outcomes to our customers, working with the C-Suite, Boards, Chief Audit Executives, Controls Officers and their teams
• Lead engagements and use the platform to understand client challenges and demonstrate the potential solutions and outcomes
• Develop and lead solutions and sales
• Lead and support the team to allow them to reach potential and ensure they delivery outstanding outcomes and quality experiences
• Set up and lead ways of working to ensure your projects are delivered in a fun, inclusive, positive, and energetic way
• Providing and setting the assurance standards throughout the development lifecycle
• Set, meet and mange deadlines individually and as the leader of a team
• Build effective relationships with clients; using your expertise to positively impact engagements and stakeholders across multiple levels of the organisation
• Participate in knowledge sharing and good practice development, working with the UK, EMEA and Global teams
• Coach and develop others, acting as a positive role model for our people and clients
• Develop your personal and the EY brand in the market to generate new opportunities and contacts
• Lead engagement, proposal and proposition development delivering to high standard and working proactively leading and collaborating with EY colleagues
• Lead on accounts and Business Development activities and start to build a book of business that is ‘your own’
• Create thought leadership, new propositions and ideas leveraging the team around you to do this quickly and to lead the market requirement

Skills and Attributes for Success

• An open, inclusive growth mindset with a passion for collaboration
• A good communicator with the confidence to engage at different levels
• As a leader you’ll be able to build great relationships and create impact with first and last impressions
• Experience engaging with senior client stakeholders, delivering difficult and concise messages
• You’ll understand there are always ‘naysayers’ and be resilient in the face of challenges – collaborating, seeking support, persuading, and influencing, as well as taking on board genuine concerns
• Self-starting, able to work independently and as part of a team
• Experience of Business Development, pre-sales and the sales cycle
• Able to adapt and vary approaches, to suit client requirements and cultural considerations

To qualify for the role, you must have

• ACA, ACCA, CIA qualified or equivalent
• A network / relationships across the Financial Services sector
• Track record of successfully pitching for business, identifying and anticipating commercial opportunities, with the ability to build and develop a strong client portfolio through existing and new relationships to converting networking activity into delivery of revenue
• Strong stakeholder management skills
• Knowledge of business process, operational process and process analysis
• Practical experience of regulatory topics
• Demonstrable track record of originating and executing relevant internal audit work, including experience of leading both core business and IT internal audit and internal controls (including Sarbanes Oxley) reviews

• Experience with a blue-chip company or a professional services firm in Financial Services
• Experience of presenting to both internal and external audiences

• Experience of people management and ability to manage different types/groups of stakeholders to build commitment and understanding

Ideally, you’ll also have

• Relevant professional experience, including for example previous work with a Big 4, global management consultancy firm, niche consultancy or performed an in-house role in which you gained exposure to leading Internal Audit & Controls programmes

What we look for

• We are looking for highly motivated and professional candidates who are excited by the opportunity to help us develop and grow a team of high performing consultants, who will further add to the continued success of our Internal Audit & Controls practice and are excited about helping our clients improve the way they operate.
• Being a strong team player is important as well as someone who is happy to work flexibly on different clients and different engagements.
• We are a diverse and inclusive team; our working styles are flexible and are supportive in allowing for everyone to work in a way that meets their needs. We use technology effectively in our work to enable easy transition between office and home working where appropriate to your style.

We offer a competitive remuneration package where you’ll be rewarded for your individual and team performance. Our comprehensive Total Rewards package includes support for flexible working and career development, and with FlexEY you can select benefits that suit your needs, covering holidays, health and well-being, insurance, savings and a wide range of discounts, offers and promotions.

Plus, we offer:

• Continuous learning:You’ll develop the mindset and skills to navigate whatever comes next.
• Success as defined by you:We’ll provide the tools and flexibility, so you can make a meaningful impact, your way.
• Transformative leadership:We’ll give you the insights, coaching and confidence to be the leader the world needs.
• Diverse and inclusive culture:You’ll be embraced for who you are and empowered to use your voice to help others find theirs.