- Company Name
- PwC
- Job Title
- Consultant junior AI & Data Business Transformation | CDI | F/H
- Job Description
-
**Job Title**
Junior AI & Data Business Transformation Consultant
**Role Summary**
Support client engagements to unlock the value of data and AI, translating business requirements into end‑to‑end analytic solutions. Work across multiple industries (finance, energy, consumer markets) to design data ecosystems, develop predictive models, implement governance, and deliver actionable insights with modern cloud, analytics, and visualization technologies. Collaborate with cross‑functional teams in an Agile/scrum environment.
**Expectations**
- Early‑career consultant delivering high‑quality work in a fast‑paced, client‑facing setting.
- Demonstrate strong analytical mindset, methodological rigor, and curiosity for emerging technologies.
- Communicate complex insights clearly to business stakeholders and technical teams.
- Proactively seek learning opportunities, contribute to knowledge sharing, and adhere to consulting standards.
**Key Responsibilities**
- Gather and translate business needs into data strategy and solution design.
- Map data ecosystems across functional domains (HR, Finance, Sales, Procurement, ESG).
- Build and validate analytical models (scoring, forecasting, clustering) using SQL, Python, R, or related tools.
- Design and enforce data quality, integrity, and governance controls.
- Develop dashboards and visual narratives using Power BI, Tableau, Qlik, or similar.
- Leverage cloud platforms (AWS, Azure, GCP), big‑data tools (Databricks, Dataiku, etc.), and emerging AI technologies to propose tailored solutions.
- Participate in Agile ceremonies (Backlog refinement, sprint planning, retrospectives).
- Collaborate with senior consultants and clients to refine requirements, present findings, and secure adoption.
**Required Skills**
- Proficient in SQL, Python, and/or R for data manipulation and modeling.
- Experience with data visualization tools (Power BI, Tableau, Qlik).
- Familiarity with cloud data platforms (AWS, Azure, GCP) and big‑data ecosystems (Databricks, Dataiku).
- Knowledge of data governance, quality assurance, and automated control design.
- Strong analytical problem‑solving ability and attention to detail.
- Excellent written and verbal communication skills.
- Comfortable working in Agile/scrum teams.
**Required Education & Certifications**
- Master’s degree or equivalent in Engineering, Information Systems, Data Science, or related field.
- Prior consulting or industry experience in AI & data transformation (minimum 1–3 years).
- Certifications in data analytics, cloud platforms, or AI tools are an advantage (e.g., AWS Data Analytics, Power BI, Tableau, Dataiku).