📋 Job Details at a Glance 📍 Location Bengaluru, Karnataka, India 🏢 Company Unilever 👥 Experience 3-5 years 🎓 Qualification Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, Engineering or a related discipline. 📅 Eligible Batch 2023, 2024, 2025, 2026 📄 Job Type Full Time 💰 Salary ₹15–₹25 LPA (estimated; not officially disclosed) 🏢 Industry Technology 🛠 Key Skills Python data analysis statistical modelling machine learning deep learning model evaluation data visualisation SQL Git GCP Data Scientist at Unilever — Full Details & How to Apply Unilever is seeking a Data Scientist in Bengaluru, Karnataka, India to analyze scientific datasets and build predictive models. This role influences R&D decisions in a global leader in consumer goods. The demand for data-driven decision-making in R&D is growing, making this Data Scientist role crucial for Unilever 's innovation in home care products. As companies increasingly rely on data analytics to drive product development, this position shapes the future of consumer goods. What sets Unilever apart as an employer is its extensive global reach and commitment to sustainability. Founded in 1929 , Unilever has over 150,000 employees worldwide and is known for its diverse portfolio of brands, including Dove and Knorr . This role impacts product development and enhances consumer satisfaction by leveraging data to inform R&D strategies. We encourage 2023, 2024, 2025, 2026 graduates with a Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, Engineering or a related discipline to apply. Candidates should have 3-5 years experience in relevant fields, with a competitive salary range of ₹15–₹25 LPA (estimated; not officially disclosed) . In this role, you will gain hands-on experience with essential skills such as Python , data analysis , statistical modelling , machine learning , deep learning , model evaluation , data visualisation , SQL , Git , GCP , Flask , Dash , Streamlit , and Power BI . This exposure will set you apart in the job market and open doors to advanced career opportunities in data science. 📊 Role Difficulty: Medium | Competition Level: High | Fresher Friendly: Yes NexisGrow.com features this opportunity as part of its curated tech job listings. All details are sourced from the official job posting. Apply online before the opportunity closes. Job Role & Responsibilities The core mission of the Data Scientist role at Unilever is to leverage data analytics to drive innovative R&D strategies and enhance product development through actionable insights. Analyze scientific datasets using Python to derive actionable insights that inform R&D strategies and improve product offerings. Develop predictive models employing machine learning techniques to enhance product development processes and optimize performance. Collaborate with cross-functional teams, including marketing and product development, to align data insights with business objectives using SQL for data extraction. Maintain model governance by tracking performance metrics to ensure accuracy and reliability of predictive models through model evaluation . Create reusable modeling workflows that streamline data analysis processes across teams, utilizing Git for version control. Document analytical processes and communicate findings through dashboards using Power BI for stakeholder presentations. Engage in problem-solving sessions with clients to address data-related challenges and provide data-driven solutions using data analysis techniques. This role fosters an ownership culture, allowing you to directly impact product innovation and data-driven decision-making across the organization. Required Skills & Technical Competencies The Data Scientist position requires a robust skill profile in data analytics, machine learning, and data visualization to effectively drive insights and solutions. Technical Skills Python — advanced — essential for data manipulation and analysis, utilizing libraries like Pandas and NumPy to derive insights. SQL — intermediate — used for querying databases to extract relevant data for analysis, critical for handling large datasets. Machine Learning — advanced — applied to build predictive models, requiring a solid understanding of algorithms and their applications. Data Visualization — advanced — proficiency in tools like Power BI to present data insights effectively to non-technical stakeholders. Git — intermediate — used for version control, ensuring collaborative coding practices and maintaining code integrity in projects. When showcasing these technical skills in your resume or interview, emphasize specific projects or experiences that demonstrate your proficiency and impact. Eligibility Criteria This role is designed for candidates with a strong analytical background and relevant experience in data science or related fields. Candidates must hold a Bachelor’s or Master’s degree in Data Science , Computer Science , Statistics , Mathematics , Engineering , or related fields. Eligible batches include 2023 to 2026 , allowing fresh graduates to apply and kickstart their careers in data science. The role requires 3-5 years of experience, but freshers with strong academic backgrounds and relevant internships are encouraged to apply. A minimum academic performance of 60% or CGPA of 6.0 is preferred to ensure a solid foundation in quantitative skills. Having a portfolio or GitHub showcasing relevant projects or internships can significantly enhance candidacy for this role. Documentation & Portfolio Requirements Ensure your resume is formatted clearly, highlighting your educational background, relevant skills, and any projects or internships that demonstrate your capabilities in data science. Pro tip: Tailor your application to highlight specific experiences with Python and machine learning that align with the responsibilities of this role. Salary for Data Scientist at Unilever 💰 Compensation ₹15–₹25 LPA (estimated; not officially disclosed) The advertised compensation for the Data Scientist role at Unilever is ₹15–₹25 LPA (estimated; not officially disclosed) . The exact in-hand figure and any additional components are confirmed by the company during the offer or HR discussion stage. Recommended Courses & Preparation Tips for Data Scientist Upskilling with the right resources significantly enhances your chances of selection for the Data Scientist role at Unilever . Recommended Courses & Resources Python — Essential for data manipulation and analysis in data science projects. statistical modelling — Crucial for understanding data patterns and making predictions. machine learning — Key for developing predictive models and algorithms. SQL — Important for data retrieval and management from databases. KodNest — Offers practical experience in coding and data science applications. Boost your profile with relevant certifications at NexisGrow GetCertified — strengthen your application before you apply. Common Mistakes to Avoid ❌ Failing to tailor the resume for the specific role — Include relevant skills and experiences. ❌ Neglecting to quantify achievements in previous roles — Demonstrate impact and effectiveness. ❌ Using generic language instead of specific examples — Showcase technical skills and project outcomes. ❌ Overlooking the importance of a strong cover letter — Connect personal motivation with Unilever's mission. ❌ Submitting applications without proofreading for errors — Ensure professionalism in your application. ❌ Ignoring the significance of networking — Reach out to current employees for insights about the company. Before You Apply — Checklist ✅ Research Unilever's recent projects and values to tailor your application effectively. ✅ Prepare a targeted resume that highlights relevant skills and experiences for the Data Scientist role. ✅ Gather any supporting documents, such as transcripts or certificates, to include with your application. ✅ Review the job description thoroughly to ensure alignment with your skills and experiences. ✅ Set up a professional email address for application communications. ✅ Follow the application instructions carefully on the Unilever portal to avoid common pitfalls. ✅ Prepare for potential interviews by practicing common data science interview questions. ✅ Track your application status through the Unilever portal for timely follow-ups. Resume Tailoring & ATS Keywords for Data Scientist Optimizing your resume for ATS is crucial for standing out in the application process for the Data Scientist role at Unilever . ATS Keywords to Include Data Scientist Python Machine Learning Data Analysis Statistical Modelling SQL Data Visualization Model Evaluation Deep Learning GCP Flask Power BI Resume Tips for This Role Highlight specific projects that demonstrate your proficiency in Python and machine learning relevant to the role. Emphasize teamwork and collaboration experiences, particularly in cross-functional settings, to align with Unilever's culture. Include links to your portfolio or GitHub showcasing relevant data science projects to stand out. Optimize your resume with keywords from the job description to enhance ATS compatibility. Avoid including unrelated work experiences that do not showcase your data science skills or relevant achievements. Build an ATS-optimized resume for this role using NexisGrow Resume Builder — free for all job seekers. Pro tip: Avoid including generic objectives or unrelated experiences that do not pertain to data science. How to Apply for Data Scientist at Unilever Apply Now — Unilever Visit the Unilever careers portal and create an account. Upload your resume, ensuring it is tailored to the Data Scientist role. Fill out the application form carefully, providing accurate information. After submission, you can expect an email confirmation regarding your application status. Use the application portal to track your application progress and updates. Applications reviewed on rolling basis — early submission recommended. Apply Now — Unilever NexisGrow.com does not charge any fees for job applications. Unilever Unilever was founded in 1929 and has grown to operate in over 190 countries , with its headquarters located in London, United Kingdom . The company employs approximately 148,000 people worldwide, making it a significant player in the global consumer goods market. Its extensive reach allows Unilever to cater to diverse consumer needs across various regions. The core offerings of Unilever include well-known brands such as Dove , Surf , and Knorr , spanning categories like personal care, home care, and food products. This extensive portfolio enables Unilever to maintain a strong market presence and meet the evolving demands of consumers. The company continuously innovates its product lines to enhance customer satisfaction. Unilever has received numerous accolades for its workplace culture, including a Glassdoor rating of 4.2 , which reflects high employee satisfaction and engagement. The company invests in various employee programs aimed at fostering diversity and inclusion, ensuring that all voices are heard and valued within the organization. This commitment to a positive work environment contributes to employee retention and morale. Recently, Unilever announced a strategic shift towards digital transformation, investing heavily in AI and data analytics to enhance product innovation. This initiative includes the integration of machine learning and data visualization tools to streamline operations and improve decision-making processes. Such advancements position Unilever at the forefront of technological innovation in the consumer goods sector. For freshers in Technology, Unilever offers a robust career launchpad, providing unparalleled exposure to industry-leading practices. Opportunities to work on impactful projects in data science, such as utilizing machine learning and statistical modeling, allow new hires to develop essential skills. The company's focus on innovation ensures that employees are well-prepared for future challenges in the tech landscape. Company Details Industry Technology Location Bengaluru, Karnataka, India Connect With Us Careers Apply Now Website 🔗 unilever.wd3.myworkdayjobs.com Frequently Asked Questions Interview · Role · Salary · Growth ? Who can apply for Data Scientist at Unilever? Eligibility Tap to expand + Answer Candidates with Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, Engineering or a related discipline. and 3-5 years experience are eligible. Eligible batches: 2023, 2024, 2025, 2026. ? What skills are most important for this role? Skills Tap to expand + Answer Key skills: Python, data analysis, statistical modelling, machine learning, deep learning. Strong fundamentals and practical project experience matter most. ? What is the salary for this position? Salary Tap to expand + Answer Compensation: ₹15–₹25 LPA (estimated; not officially disclosed). Final offer depends on skills, experience, and interview performance. ? What is the interview process at Unilever? Interview Tap to expand + Answer Typically: Resume shortlisting → Online test → Technical interview(s) → HR round. ? Is this role remote, hybrid, or onsite? Work Mode Tap to expand + Answer Work mode varies by team. Confirm with HR during recruitment. ? What is the career growth path from this role? Growth Tap to expand + Answer Structured appraisals every 6–12 months. Senior roles accessible within 12–18 months based on performance. ? How do I apply? Application Tap to expand + Answer Apply via the official link in How to Apply section. Highlight: Python, data analysis, statistical modelling, machine learning, deep learning. ? Is there a probation period? Probation Tap to expand + Answer Standard 3–6 months probation. Confirmation follows successful completion. ? How to prepare for the Data Scientist interview? Preparation Tap to expand + Answer (1) Core concepts of Python, data analysis, statistical modelling, machine learning, deep learning, (2) 2–3 project walkthroughs, (3) Problem-solving, (4) Unilever research, (5) Clear communication. ? What is the work culture like at Unilever? Culture Tap to expand + Answer Research on LinkedIn and Glassdoor for authentic employee reviews. 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