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SUGAR Cosmetics logo — SUGAR Cosmetics Data Scientist (Fresher) in Bengaluru, Karnataka
SUGAR Cosmetics VerifiedActively Hiring

Data Scientist (Fresher)

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Location

Bengaluru, Karnataka

Work Mode

Hybrid

Duration

0 months

Stipend

₹55,000/mo

Start Date

Immediate / as per notice period

Openings

2 positions

Type

Full-time

Category

Data Science

Apply Now — ₹55,000/moApply on Company Website ↗

About the Internship

SUGAR Cosmetics has an opening for a Data Scientist (Fresher) in Bengaluru. If you enjoy digging into messy data, writing SQL that answers a real question and explaining the answer in plain language, this full-time applied data science role will suit you. About the role This Data Scientist…

About SUGAR Cosmetics

SUGAR Cosmetics is hiring a Data Scientist (Fresher) in Bengaluru — a full-time analytics role working in Python, scikit-learn and SQL, with an indicative CTC of 4.4 LPA–8.8 LPA and 2 openings.
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Bengaluru, KarnatakaVerified employer2 openings
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Skills Required

PythonPandas & NumPyScikit-learnSQLStatistics & ProbabilityExploratory Data AnalysisMachine Learning BasicsData VisualizationJupyterModel EvaluationGitCommunication

Who Can Apply

  • B.E./B.Tech, B.Sc/M.Sc (Statistics / Mathematics / Data Science / Computer Science), BCA/MCA or MBA (Analytics) graduates with 0–1 years of relevant experience, based in Bengaluru or willing to relocate. You should be comfortable with Python, Pandas & NumPy, Scikit-learn, able to work independently on a defined analytical question, and able to communicate the answer in plain language. Freshers and 2026 graduates are explicitly welcome — a portfolio of real analysis counts for more than years on a CV.

Perks

Learning & certification support (SQL, Power BI, Tableau, cloud)Paid leaves and public holidaysFlexible / hybrid working optionsModern analytics tooling and licensed BI seatsClear appraisal cycle and internal mobilityEmployee wellness programmesTeam offsites and networking opportunitiesCompetitive salary as per market benchmarks

Interview & Selection Process

5 rounds — typical selection flow for this role:

  1. 1Resume screening and profile shortlisting by the talent acquisition team
  2. 2Hiring manager discussion — role expectations, ownership and team fit
  3. 3Online assessment — SQL, Excel and quantitative aptitude
  4. 4Technical interview 1 — SQL joins, aggregations, window functions and data modelling
  5. 5HR discussion — compensation, notice period, joining date and offer roll-out
55,000/month

Stipend · 0 months

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Openings2 positions
Applicants0 applied
ModeHybrid
CategoryData Science
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