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Senior Business Analyst Iam jobs at Ey in Poland, Warsaw

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Company (1)
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Job title (1)
Poland
Warsaw
16 jobs found
08.10.2025
EY

EY Senior Konsultant_ka - People Advisory Services Tax Poland, Masovian Voivodeship, Warsaw

Limitless High-tech career opportunities - Expoint
Description:

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.

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08.10.2025
EY

EY Senior Consultant Planning - Supply Chain Operation Team Poland, Masovian Voivodeship, Warsaw

Limitless High-tech career opportunities - Expoint
Description:

Your scope of duties:

  • Participation in end-to-end transformational projects, in particular related to supply chain Planning (but also other areas: Procurement, Manufacturing, Logistics, Supply Chain Strategy) with the technology component.
  • Participation in projects related to Advanced Planning and Scheduling-System led in Agile methodology
  • Serve as a subject matter expert for client with in-depth knowledge of the application
  • Translate business requirements into functional specifications resulting in user stories
  • Support and coordinate preparation workshops across client’s business units and/or regions
  • Support project successful deployment delivery (Fit-Gap analysis, Master Data/System setup, Training and Testing, Go Live and Support)
  • Planning, execution and management of the work related to quantitative and qualitative analyses of business processes
  • Participation in business development activities, like support project conformity with regards to scope, cost, time, budget, and deliverables
  • Preparation and finalization of the project deliverables (reports, workshop materials, business proposals and many others)
  • Possibility to use available analysis, design, optimization and centralization methods in supply chain area

Our requirements:

  • Min. 4 years’ experience in supply chain industry
  • Functional understanding of supply chain processes, ability to translate business requirements into technical specifications
  • Knowledge of Advanced Planning Systems such as OMP, SAP IBP, Kinaxis would be an adventage
  • Higher education (min. Bachelor’s degree preferably in supply chain, IT, economics, finance or other relevant field)
  • Business English proficiency (required)
  • Strong business analytical skills
  • Demonstrated strong verbal and written communication, interpersonal, organizational, collaboration and problem solving skills
  • Availability for business trips, abroad included (approx. 30% of the time)
  • Ability to work independently and as a part of the team

What we offer:

  • Professional and financial support in obtaining recognised qualifications and certificates
  • EY Badges - global certification of your competencies and the opportunity to earn an MBA title from the prestigious Hult University
  • Career Counselor - professional, one-to-one guidance on career building and development
  • Innovate EY - unique programmes where you can create your own start-up using our know-how and funding
  • Psycho-educational platform - a package of free consultations with specialists in the broad field of mental health and personal development and access to educational activities
  • A convenient hybrid working model
  • Benefit programme offering private healthcare with additional preventive examinations, life insurance, tickets, team sports, language learning platform, sports cards and much more (available online and offline)
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08.10.2025
EY

EY Senior AI Consultant Data & Analytics Team Poland, Masovian Voivodeship, Warsaw

Limitless High-tech career opportunities - Expoint
Description:

This role involves both technical proficiency in AI and strong consulting capabilities. The ideal candidate will not only possess the technical skillset necessary to support AI initiatives (such as performing technology assessments or developing GenAI solutions prototypes) but also the communication and consulting expertise required to effectively interact and guide stakeholders at all levels.
Your Key Responsibilities

  • Use your expertise in AI, Machine Learning and Advanced Analytics technologies and solutions to advise our clients how to best solve their business challenges.
  • Translate complex technical details into clear, actionable advice for non-technical stakeholders.
  • Design and implement AI solutions using various technologies that address client-specific needs and add tangible value.
  • Apply your conceptual and technological knowledge to develop AI solutions architectures.
  • Act as a liaison between specialised technical teams and business stakeholders.
  • Provide recommendations and roadmaps for the full-scale rollouts of AI solutions.
  • Establish relationships with teams & client personnel at appropriate levels when needed.
  • Develop your professional knowledge and experience.
  • 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.

Attributes to thrive in the role

  • Master’s degree or PhD in Data Science, Artificial Intelligence, or other relevant fields such as Physics, Mathematics, Economics, Computer Science, Information Systems, or Engineering.
  • A minimum of 3-year experience with AI technologies, with at least one-year experience in Natural language Processing (NLP) / Large Language Models (LLMs) / Generative AI (GenAI).
  • Strong analytical and problem-solving skills, with the ability to apply statistical techniques and machine learning algorithms effectively.
  • Knowledge of programming principles and best practices related to software development, AI engineering and MLOps.
  • Ability to look at the AI solutions from systemic perspective including data, technology, and algorithms.
  • A high level of people skills for communication and collaboration, crucial for an international team setting.
  • Proven ability to lead, provide feedback, and promote growth among junior team members.
  • Ability to work with vague requirements from stakeholders and translate them into actionable tasks.
  • Resilience and dedication to excel professionally, with a resourceful and innovative mindset.
  • Ability to maintain efficiency and foster a team-oriented environment under pressure.
  • Strongly results oriented and demonstrated ability to take an extra step when necessary to push project teams forward including hands-on activities related to solution prototyping and/or development.
  • A passion for continuous learning and adaptation in a rapidly evolving technological landscape.

Attributes that would be advantageous

  • Proficiency in Python and familiarity with AI frameworks and libraries such as TensorFlow, PyTorch, Scikit-Learn, Streamlit, NumPy, SciPy and/or similar.
  • Familiarity with AI related technologies and tools (e.g., Kedro, Kubeflow, Azure ML, Vertex AI, Azure AI Studio, LlamaIndex, LangChain, etc.).
  • Familiarity with building AI solutions using cloud (Microsoft Azure, AWS or GCP).

Our promise to our people is an exceptional EY experience:

  • Continuous learning & fast growth. Wide range of on- and off-the-job learning opportunities, and certification tailored to your individual career path. This includes EY Tech MBA, EY Masters in Sustainability and Business Analytics, etc.
  • International experience. Working in an international environment with projects, events & initiatives, as well as a bright and energetic team.
  • Comprehensive compensation and benefits. Regular salary review, additional bonuses, paid days off for your studies & development, volunteering activities, and tenure-based leave. Additional health insurance that covers various medical services, and travel insurance.
  • Flexibility & wellbeing. We will provide the tools, support, and flexibility, so you can make a meaningful impact, in your own way – a hybrid work model, flexible working hours, and part-time options.
  • Transformative leadership. We will give you the insights, coaching and confidence to be the leader the world needs.
  • Diverse and inclusive culture. You will be embraced for who you are and empowered to use your voice to help others find theirs.
  • Support in acquiring qualifications and certificates,
  • Udemy for Business– access to over 3000 courses,
  • Go Fluent– platform that offers language courses on various levels,
  • EY Badges– global certification of your competencies and an opportunity to earn an MBA title of a reputable Hult International Business School,
  • Career Counselor– assigned experienced advisor, who will support your career growth in EY,
  • Innovate EY– unique program thanks to which you can create your own start-up utilizing our know-how and financing,
  • EY Care&Wellness– benefits program.
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07.10.2025
EY

EY Data AI Solutions Analyst Poland, Masovian Voivodeship, Warsaw

Limitless High-tech career opportunities - Expoint
Description:

As a
senior consultant customer experience, you’ll also become part of our Studio+ team to reinvent businesses and create cutting-edge experiences. Together with the EY Studio+ teams around the globe you’ll shape the expanding of the Studio and its offerings. More info:

We are looking for a hands-on motivated young professional with 2 – 4 years of experience within the execution of customer experience projects.

Conduct Research and Analysis:

  • Perform research on current customer experience and translate this into compelling customer journeys with clear opportunities to improve.
  • Identify the opportunities in current and existing customer experiences, and define future customer experiences aligned on desirability research, viable options and feasible solutions.

Strategic Planning and Implementation:

  • Collaborate with cross-functional teams, including business development, marketing, and operations, to implement strategic plans.
  • Develop and deliver persuasive presentations to clients and stakeholders, communicating long-term strategies, findings, recommendations, and project status.

Project management

  • Develop project plans, including timelines, budgets, and resource allocation.
  • Oversee the entire project lifecycle, from initial concept to final delivery, ensuring all milestones and objectives are met.
  • Track and measure project performance using appropriate KPIs and metrics.

Stakeholder & change management

  • Engage with key stakeholders, including customers, internal teams, and executives, to align project goals with business objectives.
  • Lead efforts to manage the impact of new processes, systems, or customer experience enhancements on internal teams and customers, ensuring smooth transitions and successful adoption of changes.

Your profile

  • Proven experience managing or contributing to customer experience (CX) or customer-facing projects.
  • Strong understanding of customer journey mapping, satisfaction metrics, and CX improvements.
  • Expertise in design thinking and human-centered design for customer-focused solutions.
  • Proficient in project management tools like JIRA and MS Project.
  • Excellent communication, leadership, and problem-solving skills.
  • Experience leading cross-functional teams and managing stakeholders in large organizations.
  • Ability to manage multiple projects while meeting deadlines and maintaining quality.
  • 2-4 years of experience in CX projects and go-to-market strategies.
  • Strong project management skills for planning, execution, and evaluation of CX initiatives.
  • Fluent in English, Dutch, and French for effective communication

What’s In It For You

  • EY Family – you become part of the EY Family providing you with all the necessary skills, training and opportunities; enabling you to grow to your fullest potential.
  • Attractive remuneration package - We offer an attractive remuneration package; including a company car and charging card , iPhone plus subscription, health insurance, pension plan, meal vouchers, and eco vouchers. Thanks to our flex plan it is possible to choose what you value most.
  • Flexible working arrangements - We are proud of our flexible working arrangements. We will actively support you in building a successful career and delivering excellent client service without sacrificing your personal priorities. We offer flexible working hours and working from home multiple days per week is possible.
  • Inspiring work environment - At EY we are dedicated to providing you with an inspiring work environment. A work environment that allows you to further develop your skills and enables you to fulfill your true potential.
  • Learning & personal growth - You will benefit from an onboarding program, receive extensive training and will be coached by a counselor. We offer a clear career path tailored to your unique skills with necessary guidance.
  • Fun - By joining our EY- teams, you can participate in team activities, and companywide events and enjoy a drink during our monthly after-work drink.
  • Sustainability - We have a fleet of hybrid and electric cars. Our flex plan makes it possible for you to choose the most sustainable option for you. You can also opt for a train subscription or lease a bike.
  • Diversity & Inclusion - At EY we are passionate about the inclusion and support of individuals of all groups; we do not discriminate on the basis of race, religion, gender, sexual orientation, or disability status.
  • Location - All of our offices are easily accessible by public transport and/or by car and have parking space. They all have parking spaces and charging stations are provided.
  • Best Workplace – You will be part of the 2023 number one rated Best Workplace (Great Place to Work).

Here at EY, you’ll have the chance to build a truly exceptional experience. We’ll empower you with the latest technology, surround you with high-performing teams, and provide the global scale and diverse and inclusive culture you need to discover your full potential. Through our coaching and training programs, you’ll develop the skillsets you need to stay relevant today and in the future – all while building a network of colleagues, mentors, and leaders who will be on the journey with you at EY and beyond.

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18.09.2025
EY

EY AI Digital Strategy Analyst EY-Parthenon Poland, Masovian Voivodeship, Warsaw

Limitless High-tech career opportunities - Expoint
Description:

As a member of the Financial Services Advisory team, you will contribute to the delivery of regulatory compliance support to clients engaged in banking, investment services, fintech and insurance activities. Your role will focus on assisting with regulatory assessments, contributing to the development of compliance programs, and helping clients understand and adhere to their regulatory obligations.

Key Responsibilities:

  • Provide advice on regulatory requirements, changes, and risks to clients and internal teams.
  • Conduct regulatory impact assessments for new regulations.
  • Contribute to the preparation and submission of regulatory documentation and filings.
  • Collaborate with other service lines within EY to provide integrated solutions to clients.
  • Maintain up-to-date knowledge of regulatory developments and trends across multiple jurisdictions.
  • Contribute to the growth of the Regulatory Compliance team by identifying new business opportunities and client relationships.
  • Contribute to thought leadership and participate in industry forums.

Qualifications & Experience:

  • Bachelor's degree in Law, Business, Finance, or a related field.
  • Minimum of 2 years of experience in regulatory affairs or compliance within a consulting firm, regulatory agency, or relevant industry.
  • Sound understanding of regulatory frameworks and processes applicable to credit and financial institutions. Working experience in these areas will be considered an asset.
  • Strong communication and interpersonal skills.

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18.09.2025
EY

EY Strategy Senior Manager - Financial Services Team EY-Parthen... Poland, Masovian Voivodeship, Warsaw

Limitless High-tech career opportunities - Expoint
Description:

Here at EY, you’ll have the

As an Intern you will help our clients address complex issues related to personal income tax obligations for expats and employers, social security, business immigration, labor law aspects and HR support, connected to cross border mobility of personnel.

Through structured learning and development and a wide variety of practical experience, you will build your skill set, and the consultancy and analytical capabilities required to solve complex people challenges. You will also have the opportunity to work directly with leading multinational companies, high net worth individuals and public sector minds

are looking for:

  • Students in2–4 studies in Law or Finance/Accounting/Economics/European or Political sciences/International relations
  • Excellent written and verbal communication skills in both Bulgarian and English
  • Strong analytical, teamwork and organizational skills
  • Good level of integrity, maturity, a positive attitude and enthusiasm in the performance of responsibilities, readiness to work in stretching situations
  • Proficiency in MS Office

What’s in it for you:

  • Experience a perfect blend of impactful work and fun. From team-building events to social hangouts, we believe in celebrating our successes together.
  • Connect with industry leaders and mentors who are passionate about guiding the next generation of talent. Your network will grow exponentially.
  • Join a diverse and inclusive environment where every voice is heard, and unique perspectives are celebrated.
  • Prepare to dive into exciting projects that challenge conventional thinking and redefine industry standards.
  • Enjoy a flexible work culture that values work-life balance.

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26.08.2025
EY

EY IAM Engineer Poland, Masovian Voivodeship, Warsaw

Limitless High-tech career opportunities - Expoint
Description:

Your scope of duties:

  • Current state assessments of IAM processes and technologies
  • Analysis of the IT environment in terms of application access,
  • Design and implementation of IAM Solution aligned with Client business needs:
    • Tool design and architecture
    • Process design and re-engineering
    • Cloud and mobile apps access management
    • Access enforcement implementation
    • Access administration implementation
    • Elevated access management implementation
    • Role Based Access Control and Segregation of duties implementation
    • System integration with business tools and authentication providers
  • Support for solution transition from a project to day-to-day operations
  • Development of professional documents in the form of reports, analysis results and technical documentation

Our requirements:

  • 1+ years of practical experience in IT
  • Experience in one or more of the following:
    • user provisioning and identity management solutions including design or implementation and maintenance of an IGA solution (e.g. SailPoint Suite, OneIdentity, Saviynt), PAM solution (e.g. CyberARK, FUDO, Walllix Bastion) or CIAM (e.g. Ping Identity, ForgeRock)
    • role-based access control including design and development of user access roles;
    • Practical knowledge of Microsoft 365 environment in the field of Active Directory (Azure AD and Windows Server 2012+)
  • An understanding of access control concepts including directory services, SAML, LDAP, PKI
  • fluency in English

We will also appreciate:

  • Having industry certifications in the field of authentication systems, e.g. MS100 (Microsoft 365 Identity and Services)
  • Certification by the industry or leading PROVIDERS of IT/Security solutions (Microsoft AZ-500, CyberARK)
  • Knowledge of concepts and solutions around the security of OT or IoT environments
  • Knowledge of systems for protection against malicious code or data leakage,
  • Knowledge of IT security management processes.
  • Strong presentation and communication skills
  • ITIL, CISSP, CISM, CISA, CIPT, CIPM, CRISC or other relevant certification desired

What we offer:

  • Opportunities for professional development in an international consulting company
  • Work in a dynamically developing team that is one of the leaders of the professional services market in the area of IT Security,
  • Participation in complex, international projects in the field of implementation of cybersecurity solutions and thus enabling the acquisition of various experiences
  • Support in acquiring qualifications and certificates,
  • Udemy for Business – access to over 3000 courses,
  • Go Fluent – platform that offers language courses on various levels,
  • EY Badges – global certification of your competencies and an opportunity to earn an MBA title of a reputable Hult International Business School,
  • Career Counselor – assigned experienced advisor, who will support your career growth in EY,
  • Innovate EY – unique program thanks to which you can create your own start-up utilizing our know-how and financing,
  • EY Care&Wellness – benefits program.
Expand
Limitless High-tech career opportunities - Expoint
Description:

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.

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