cvdesignr exemple : infographie carrière Data Science finance

Career infographic titled "Data Science Career Path in Finance". Archetype: INTERVIEW QUESTIONS deck. Editorial LinkedIn-magazine illustration, dark dashboard style, soft pastel palette, clean grid, sleek cards, subtle charts, high contrast for readability, modern finance-tech visual language, no real company logos as endorsements, no discriminatory framing. 7 labeled sections in English with concrete actionable tips: 1) Header card: role ladder overview Junior Data Scientist → Data Scientist → Senior Data Scientist → Lead Data Scientist → Manager, with example salary badges in GBP labeled clearly as example: £35k, £50k, £70k, £95k, £120k. 2) Core interview questions card: statistics, probability, hypothesis testing, model evaluation, overfitting, bias-variance, time series, feature engineering; include short answer cues and what interviewers look for. 3) Finance domain questions card: credit risk, fraud detection, AML monitoring, customer churn, pricing, portfolio analytics, explainability, regulation awareness; include actionable prep tips. 4) Technical assessment card: Python, SQL, machine learning, dashboards, A/B testing, data pipelines, cloud basics; include do/don't callouts for coding interviews and take-home tasks. 5) Case study card: problem framing, data quality checks, KPI selection, validation, business impact, communication to stakeholders; show mini workflow diagram. 6) CV and portfolio card: summary, achievements, quantifiable metrics, project storytelling, GitHub/portfolio hygiene, domain relevance; include do/don't callouts. 7) Growth roadmap card: skills to gain at each level, mentorship, certifications, stakeholder management, leadership, promotion signals; include example salary progression bar chart labeled example in GBP (£). Add small visual accents like pastel icons for charts, database, shield, bank, notebook, interview speech bubbles. Include concise English headings, labels, captions, legends, and metric names only. Render target search intent visually only, with no on-image text reference to it. All text MUST be written in English (array). Every heading, label, caption, legend and metric name in the image must be in English — not English. Spell each English word correctly using English characters and diacritics. Numbers stay as digits, no real company logos as recommendations, no watermarks No real company logos as endorsements. Illustrative salary numbers labeled as example. No discriminatory framing.