{
    "url": "https://www.spotsalary.com/salary/data-scientists/bhutan-bt",
    "canonical": "https://www.spotsalary.com/salary/data-scientists/bhutan-bt",
    "headline": "Data scientists Salary in Bhutan",
    "description": "Median Data scientists salary in Bhutan is $23.4K per year. Compare P10–P90 salary bands by experience, take-home pay and a five-year outlook.",
    "occupation": {
        "name": "Data scientists",
        "slug": "data-scientists",
        "family": null,
        "soc_code": null,
        "aliases": [],
        "description": null
    },
    "location": {
        "name": "Bhutan",
        "slug": "bhutan-bt",
        "type": "country",
        "iso2": "BT",
        "currency": "USD"
    },
    "period": 2026,
    "confidence": 68,
    "status": "published",
    "method": "nearest_neighbor",
    "updated_at": "2026-10-31T20:49:55+00:00",
    "salary_bands": [
        {
            "level": "entry",
            "years_experience": [
                0,
                2
            ],
            "p10": 9783.14,
            "p25": 12174.58,
            "p50": 15218.23,
            "p75": 17653.14,
            "p90": 21131.58,
            "base_share": 95,
            "bonus_share": 5,
            "equity_share": 0
        },
        {
            "level": "mid",
            "years_experience": [
                3,
                5
            ],
            "p10": 15050.99,
            "p25": 18730.12,
            "p50": 23412.65,
            "p75": 27158.67,
            "p90": 32510.14,
            "base_share": 88,
            "bonus_share": 8,
            "equity_share": 4
        },
        {
            "level": "senior",
            "years_experience": [
                6,
                9
            ],
            "p10": 24834.13,
            "p25": 30904.69,
            "p50": 38630.87,
            "p75": 44811.81,
            "p90": 53641.72,
            "base_share": 80,
            "bonus_share": 10,
            "equity_share": 10
        },
        {
            "level": "executive",
            "years_experience": [
                10,
                15
            ],
            "p10": 42142.77,
            "p25": 52444.33,
            "p50": 65555.42,
            "p75": 76044.28,
            "p90": 91028.38,
            "base_share": 65,
            "bonus_share": 15,
            "equity_share": 20
        }
    ],
    "take_home": {
        "currency": "USD",
        "tax_rate": null,
        "top_rate": 25,
        "method": "top_rate_only",
        "label": "top rate only",
        "standard_deduction": 0,
        "rebate": 0,
        "source": "Wikipedia — List of countries by tax rates",
        "source_url": "https://en.wikipedia.org/wiki/List_of_countries_by_tax_rates",
        "retrieved_at": "2026-10-23T00:00:00.000000Z",
        "verified": false,
        "notes": "Highest marginal individual rate (Wikipedia)",
        "bands": [
            {
                "level": "entry",
                "gross": 15218.23,
                "taxable": null,
                "tax": null,
                "effective_rate": null,
                "net_annual": null,
                "net_monthly": null,
                "method": "top_rate_only",
                "top_rate": 25,
                "standard_deduction": 0,
                "rebate": 0,
                "source": "Wikipedia — List of countries by tax rates",
                "source_url": "https://en.wikipedia.org/wiki/List_of_countries_by_tax_rates",
                "retrieved_at": "2026-10-23T00:00:00.000000Z",
                "verified": false,
                "notes": "Highest marginal individual rate (Wikipedia)"
            },
            {
                "level": "mid",
                "gross": 23412.65,
                "taxable": null,
                "tax": null,
                "effective_rate": null,
                "net_annual": null,
                "net_monthly": null,
                "method": "top_rate_only",
                "top_rate": 25,
                "standard_deduction": 0,
                "rebate": 0,
                "source": "Wikipedia — List of countries by tax rates",
                "source_url": "https://en.wikipedia.org/wiki/List_of_countries_by_tax_rates",
                "retrieved_at": "2026-10-23T00:00:00.000000Z",
                "verified": false,
                "notes": "Highest marginal individual rate (Wikipedia)"
            },
            {
                "level": "senior",
                "gross": 38630.87,
                "taxable": null,
                "tax": null,
                "effective_rate": null,
                "net_annual": null,
                "net_monthly": null,
                "method": "top_rate_only",
                "top_rate": 25,
                "standard_deduction": 0,
                "rebate": 0,
                "source": "Wikipedia — List of countries by tax rates",
                "source_url": "https://en.wikipedia.org/wiki/List_of_countries_by_tax_rates",
                "retrieved_at": "2026-10-23T00:00:00.000000Z",
                "verified": false,
                "notes": "Highest marginal individual rate (Wikipedia)"
            },
            {
                "level": "executive",
                "gross": 65555.42,
                "taxable": null,
                "tax": null,
                "effective_rate": null,
                "net_annual": null,
                "net_monthly": null,
                "method": "top_rate_only",
                "top_rate": 25,
                "standard_deduction": 0,
                "rebate": 0,
                "source": "Wikipedia — List of countries by tax rates",
                "source_url": "https://en.wikipedia.org/wiki/List_of_countries_by_tax_rates",
                "retrieved_at": "2026-10-23T00:00:00.000000Z",
                "verified": false,
                "notes": "Highest marginal individual rate (Wikipedia)"
            }
        ]
    },
    "outlook": {
        "direction": "stable",
        "inflation_pct": 3,
        "real_growth_pct": 0,
        "forecasts": [
            {
                "year": 2027,
                "scenario": "base",
                "p25": 22571.67,
                "p50": 24115.03,
                "p75": 25658.39,
                "confidence": 62,
                "drivers": [
                    {
                        "name": "Inflation (CPI)",
                        "note": "3.0% annual price growth",
                        "weight": "high",
                        "direction": "steady"
                    },
                    {
                        "name": "Wage growth",
                        "note": "3.0% nominal wage trend",
                        "weight": "high",
                        "direction": "up"
                    },
                    {
                        "name": "Role demand trend",
                        "note": "0.0% annual role demand",
                        "weight": "high",
                        "direction": "steady"
                    },
                    {
                        "name": "Hiring demand",
                        "note": "Demand index 50/100",
                        "weight": "medium",
                        "direction": "steady"
                    },
                    {
                        "name": "Automation exposure",
                        "note": "35% exposure",
                        "weight": "high",
                        "direction": "steady"
                    },
                    {
                        "name": "Real wage growth",
                        "note": "0.0% after 3.0% inflation",
                        "weight": "high",
                        "direction": "up"
                    },
                    {
                        "name": "Scenario growth",
                        "note": "3.0% modelled nominal growth",
                        "weight": "high",
                        "direction": "up"
                    }
                ]
            },
            {
                "year": 2027,
                "scenario": "conservative",
                "p25": 22242.95,
                "p50": 23763.84,
                "p75": 25284.73,
                "confidence": 62,
                "drivers": [
                    {
                        "name": "Inflation (CPI)",
                        "note": "3.0% annual price growth",
                        "weight": "high",
                        "direction": "steady"
                    },
                    {
                        "name": "Wage growth",
                        "note": "3.0% nominal wage trend",
                        "weight": "high",
                        "direction": "up"
                    },
                    {
                        "name": "Role demand trend",
                        "note": "0.0% annual role demand",
                        "weight": "high",
                        "direction": "steady"
                    },
                    {
                        "name": "Hiring demand",
                        "note": "Demand index 50/100",
                        "weight": "medium",
                        "direction": "steady"
                    },
                    {
                        "name": "Automation exposure",
                        "note": "35% exposure",
                        "weight": "high",
                        "direction": "steady"
                    },
                    {
                        "name": "Real wage growth",
                        "note": "0.0% after 3.0% inflation",
                        "weight": "high",
                        "direction": "up"
                    },
                    {
                        "name": "Scenario growth",
                        "note": "3.0% modelled nominal growth",
                        "weight": "high",
                        "direction": "up"
                    }
                ]
            },
            {
                "year": 2027,
                "scenario": "optimistic",
                "p25": 22900.38,
                "p50": 24466.22,
                "p75": 26032.06,
                "confidence": 62,
                "drivers": [
                    {
                        "name": "Inflation (CPI)",
                        "note": "3.0% annual price growth",
                        "weight": "high",
                        "direction": "steady"
                    },
                    {
                        "name": "Wage growth",
                        "note": "3.0% nominal wage trend",
                        "weight": "high",
                        "direction": "up"
                    },
                    {
                        "name": "Role demand trend",
                        "note": "0.0% annual role demand",
                        "weight": "high",
                        "direction": "steady"
                    },
                    {
                        "name": "Hiring demand",
                        "note": "Demand index 50/100",
                        "weight": "medium",
                        "direction": "steady"
                    },
                    {
                        "name": "Automation exposure",
                        "note": "35% exposure",
                        "weight": "high",
                        "direction": "steady"
                    },
                    {
                        "name": "Real wage growth",
                        "note": "0.0% after 3.0% inflation",
                        "weight": "high",
                        "direction": "up"
                    },
                    {
                        "name": "Scenario growth",
                        "note": "3.0% modelled nominal growth",
                        "weight": "high",
                        "direction": "up"
                    }
                ]
            },
            {
                "year": 2029,
                "scenario": "base",
                "p25": 23741.61,
                "p50": 25583.63,
                "p75": 27425.66,
                "confidence": 50,
                "drivers": [
                    {
                        "name": "Inflation (CPI)",
                        "note": "3.0% annual price growth",
                        "weight": "high",
                        "direction": "steady"
                    },
                    {
                        "name": "Wage growth",
                        "note": "3.0% nominal wage trend",
                        "weight": "high",
                        "direction": "up"
                    },
                    {
                        "name": "Role demand trend",
                        "note": "0.0% annual role demand",
                        "weight": "high",
                        "direction": "steady"
                    },
                    {
                        "name": "Hiring demand",
                        "note": "Demand index 50/100",
                        "weight": "medium",
                        "direction": "steady"
                    },
                    {
                        "name": "Automation exposure",
                        "note": "35% exposure",
                        "weight": "high",
                        "direction": "steady"
                    },
                    {
                        "name": "Real wage growth",
                        "note": "0.0% after 3.0% inflation",
                        "weight": "high",
                        "direction": "up"
                    },
                    {
                        "name": "Scenario growth",
                        "note": "3.0% modelled nominal growth",
                        "weight": "high",
                        "direction": "up"
                    }
                ]
            },
            {
                "year": 2029,
                "scenario": "conservative",
                "p25": 22719.39,
                "p50": 24482.1,
                "p75": 26244.81,
                "confidence": 50,
                "drivers": [
                    {
                        "name": "Inflation (CPI)",
                        "note": "3.0% annual price growth",
                        "weight": "high",
                        "direction": "steady"
                    },
                    {
                        "name": "Wage growth",
                        "note": "3.0% nominal wage trend",
                        "weight": "high",
                        "direction": "up"
                    },
                    {
                        "name": "Role demand trend",
                        "note": "0.0% annual role demand",
                        "weight": "high",
                        "direction": "steady"
                    },
                    {
                        "name": "Hiring demand",
                        "note": "Demand index 50/100",
                        "weight": "medium",
                        "direction": "steady"
                    },
                    {
                        "name": "Automation exposure",
                        "note": "35% exposure",
                        "weight": "high",
                        "direction": "steady"
                    },
                    {
                        "name": "Real wage growth",
                        "note": "0.0% after 3.0% inflation",
                        "weight": "high",
                        "direction": "up"
                    },
                    {
                        "name": "Scenario growth",
                        "note": "3.0% modelled nominal growth",
                        "weight": "high",
                        "direction": "up"
                    }
                ]
            },
            {
                "year": 2029,
                "scenario": "optimistic",
                "p25": 24794.05,
                "p50": 26717.72,
                "p75": 28641.4,
                "confidence": 50,
                "drivers": [
                    {
                        "name": "Inflation (CPI)",
                        "note": "3.0% annual price growth",
                        "weight": "high",
                        "direction": "steady"
                    },
                    {
                        "name": "Wage growth",
                        "note": "3.0% nominal wage trend",
                        "weight": "high",
                        "direction": "up"
                    },
                    {
                        "name": "Role demand trend",
                        "note": "0.0% annual role demand",
                        "weight": "high",
                        "direction": "steady"
                    },
                    {
                        "name": "Hiring demand",
                        "note": "Demand index 50/100",
                        "weight": "medium",
                        "direction": "steady"
                    },
                    {
                        "name": "Automation exposure",
                        "note": "35% exposure",
                        "weight": "high",
                        "direction": "steady"
                    },
                    {
                        "name": "Real wage growth",
                        "note": "0.0% after 3.0% inflation",
                        "weight": "high",
                        "direction": "up"
                    },
                    {
                        "name": "Scenario growth",
                        "note": "3.0% modelled nominal growth",
                        "weight": "high",
                        "direction": "up"
                    }
                ]
            },
            {
                "year": 2031,
                "scenario": "base",
                "p25": 24970.34,
                "p50": 27141.68,
                "p75": 29313.01,
                "confidence": 38,
                "drivers": [
                    {
                        "name": "Inflation (CPI)",
                        "note": "3.0% annual price growth",
                        "weight": "high",
                        "direction": "steady"
                    },
                    {
                        "name": "Wage growth",
                        "note": "3.0% nominal wage trend",
                        "weight": "high",
                        "direction": "up"
                    },
                    {
                        "name": "Role demand trend",
                        "note": "0.0% annual role demand",
                        "weight": "high",
                        "direction": "steady"
                    },
                    {
                        "name": "Hiring demand",
                        "note": "Demand index 50/100",
                        "weight": "medium",
                        "direction": "steady"
                    },
                    {
                        "name": "Automation exposure",
                        "note": "35% exposure",
                        "weight": "high",
                        "direction": "steady"
                    },
                    {
                        "name": "Real wage growth",
                        "note": "0.0% after 3.0% inflation",
                        "weight": "high",
                        "direction": "up"
                    },
                    {
                        "name": "Scenario growth",
                        "note": "3.0% modelled nominal growth",
                        "weight": "high",
                        "direction": "up"
                    }
                ]
            },
            {
                "year": 2031,
                "scenario": "conservative",
                "p25": 23204.31,
                "p50": 25222.07,
                "p75": 27239.84,
                "confidence": 38,
                "drivers": [
                    {
                        "name": "Inflation (CPI)",
                        "note": "3.0% annual price growth",
                        "weight": "high",
                        "direction": "steady"
                    },
                    {
                        "name": "Wage growth",
                        "note": "3.0% nominal wage trend",
                        "weight": "high",
                        "direction": "up"
                    },
                    {
                        "name": "Role demand trend",
                        "note": "0.0% annual role demand",
                        "weight": "high",
                        "direction": "steady"
                    },
                    {
                        "name": "Hiring demand",
                        "note": "Demand index 50/100",
                        "weight": "medium",
                        "direction": "steady"
                    },
                    {
                        "name": "Automation exposure",
                        "note": "35% exposure",
                        "weight": "high",
                        "direction": "steady"
                    },
                    {
                        "name": "Real wage growth",
                        "note": "0.0% after 3.0% inflation",
                        "weight": "high",
                        "direction": "up"
                    },
                    {
                        "name": "Scenario growth",
                        "note": "3.0% modelled nominal growth",
                        "weight": "high",
                        "direction": "up"
                    }
                ]
            },
            {
                "year": 2031,
                "scenario": "optimistic",
                "p25": 26842.31,
                "p50": 29176.42,
                "p75": 31510.54,
                "confidence": 38,
                "drivers": [
                    {
                        "name": "Inflation (CPI)",
                        "note": "3.0% annual price growth",
                        "weight": "high",
                        "direction": "steady"
                    },
                    {
                        "name": "Wage growth",
                        "note": "3.0% nominal wage trend",
                        "weight": "high",
                        "direction": "up"
                    },
                    {
                        "name": "Role demand trend",
                        "note": "0.0% annual role demand",
                        "weight": "high",
                        "direction": "steady"
                    },
                    {
                        "name": "Hiring demand",
                        "note": "Demand index 50/100",
                        "weight": "medium",
                        "direction": "steady"
                    },
                    {
                        "name": "Automation exposure",
                        "note": "35% exposure",
                        "weight": "high",
                        "direction": "steady"
                    },
                    {
                        "name": "Real wage growth",
                        "note": "0.0% after 3.0% inflation",
                        "weight": "high",
                        "direction": "up"
                    },
                    {
                        "name": "Scenario growth",
                        "note": "3.0% modelled nominal growth",
                        "weight": "high",
                        "direction": "up"
                    }
                ]
            }
        ]
    },
    "skills": [],
    "sources": [
        {
            "name": "Bangladesh",
            "url": null,
            "type": "nearest_donor",
            "tier": "derived"
        },
        {
            "name": "India",
            "url": null,
            "type": "nearest_donor",
            "tier": "derived"
        },
        {
            "name": "Kathmandu, Nepal",
            "url": null,
            "type": "nearest_donor",
            "tier": "derived"
        },
        {
            "name": "Malaysia",
            "url": null,
            "type": "nearest_donor",
            "tier": "derived"
        }
    ],
    "faqs": [
        {
            "question": "What is the average salary of a Data scientists in Bhutan?",
            "answer": "SpotSalary models a median annual salary of $23.4K for a Data scientists in Bhutan, or about $1,951 per month before tax. The middle 50% of the estimate ranges from $18.7K to $27.2K, with a full P10–P90 range of $15.1K to $32.5K. This is a modelled estimate, not a job offer."
        },
        {
            "question": "How much does an entry-level Data scientists earn in Bhutan?",
            "answer": "The entry-level band for a Data scientists in Bhutan centres on $15.2K per year (P25–P75: $12.2K–$17.7K). Entry-level pay typically covers the first 2 years of experience and depends on company size, skills and responsibilities."
        },
        {
            "question": "How much does a senior or executive Data scientists earn in Bhutan?",
            "answer": "The executive band for a Data scientists in Bhutan has a median of $65.6K per year and a P75 of $76K. Senior and executive packages often include a larger bonus and equity component; this benchmark shows the total-compensation split for each level."
        },
        {
            "question": "What is the salary outlook for a Data scientists in Bhutan?",
            "answer": "The outlook is stable. In the base scenario, median pay reaches $27.1K by 2031, about 15.9% above today before inflation and 0.0% per year in real terms after 3.0% inflation. Scenario bands widen over time and are not guarantees."
        },
        {
            "question": "How does SpotSalary calculate these salary estimates?",
            "answer": "Estimates are anchored to external market signals — GDP per capita PPP, inflation, wage growth, cost of living, demand and automation exposure — and synthesised with AI. Deterministic validation rejects implausible outputs. This report carries 68% confidence."
        }
    ],
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        "occupation_hub": "https://www.spotsalary.com/occupations/data-scientists",
        "location_hub": "https://www.spotsalary.com/locations/bhutan-bt",
        "all_salaries": "https://www.spotsalary.com/salaries"
    },
    "citation": {
        "plain": "Data scientists Salary in Bhutan. SpotSalary. https://www.spotsalary.com/salary/data-scientists/bhutan-bt",
        "updated_at": "2026-10-31T20:49:55+00:00"
    }
}