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Loyalytics is hiring for a fresher entry level Data Scientist role in India



Position:

  • Data Scientist

Company:

  • Loyalytics

Location:

  • Bangalore, India

Job Type:

  • Full-Time

Job Mode:

  • On-site

Job Requisition ID:

  • Not specified

Years of Experience:

  • 0-2 years


Company Description:

  • Loyalytics is a rapidly expanding analytics consulting and product-focused organization headquartered in Bangalore.

  • The company specializes in assisting large retail clients worldwide in optimizing their data assets through consulting services and proprietary product accelerators.

  • It comprises a dynamic team of over 100 analytics professionals who work with cutting-edge tools and technologies to deliver impactful solutions.

  • The company operates in a massive, multi-billion-dollar global market with significant opportunities for growth and innovation.

  • Loyalytics has a leadership team with over 40 years of combined industry experience, ensuring strong strategic direction and execution.

  • Its customer acquisition is largely driven by word-of-mouth referrals, catering to renowned retail brands in GCC regions, including Lulu and GMG.

  • The company is an eight-year-old, bootstrapped, and rapidly growing organization, consistently expanding its workforce to meet increasing demands.


Profile Overview:

  • Loyalytics is seeking an enthusiastic and skilled Data Scientist with 0-2 years of experience to join its innovative analytics team.

  • The ideal candidate will have a strong command of Python, SQL, and Power BI, with a passion for leveraging data science and advanced analytics to address complex business challenges.

  • The role involves working on data-driven solutions, collaborating with stakeholders, and contributing to impactful decision-making.

  • Prior experience or a keen interest in the retail industry is highly desirable, as the role entails working on solutions tailored for major retail clients.

  • The candidate will be responsible for designing, implementing, and optimizing data science techniques to extract valuable insights from large datasets.

  • This position provides an opportunity to work in an agile development environment, contributing to the development and deployment of AI/ML models.

  • The role requires a proactive approach to problem-solving, continuous learning, and the ability to adapt to new tools, platforms, and methodologies.


Responsibilities:

  • Analyze business problems and develop data science-driven solutions to address key challenges.

  • Collaborate with stakeholders to identify data-driven opportunities for business improvements.

  • Develop and implement machine learning models and statistical techniques to solve real-world problems.

  • Conduct exploratory data analysis (EDA) and extract actionable insights from large datasets.

  • Work closely with cross-functional teams, including Data Engineering and Product Development, to deploy models and monitor their performance.

  • Design and develop algorithms for customer segmentation, propensity modeling, and targeted marketing strategies.

  • Apply analytical methods to solve problems related to pricing optimization, promotions, customer lifetime value (CLTV), and more.

  • Continuously learn and adapt to emerging technologies and methodologies in data science and analytics.

  • Document processes, methodologies, and findings to ensure clarity and reproducibility of results.

  • Operate within an Agile development framework to ensure efficient and timely delivery of data solutions.


Qualifications:

Must-Have Skills:

  • Proficiency in Python for data manipulation, machine learning, and statistical analysis.

  • Strong SQL skills to query, process, and analyze large datasets efficiently.

  • Experience with Power BI for data visualization and business intelligence reporting.

  • Excellent problem-solving abilities with a results-oriented approach.

  • Solid understanding of statistical concepts, machine learning algorithms, and data analytics methodologies.

  • Strong communication and collaboration skills to work effectively with diverse teams and stakeholders.

  • Ability to work independently and manage multiple projects in a fast-paced environment.

Good-to-Have Skills:

  • Knowledge of PySpark and Databricks for large-scale data processing.

  • Familiarity with cloud infrastructure and architecture, such as AWS, Azure, or Google Cloud.

  • Experience with project management tools like Click Up or similar platforms.

  • Exposure to additional data visualization tools beyond Power BI.

  • Previous experience in retail analytics or a strong interest in solving retail business challenges.


Additional Info:

  • This role provides a unique opportunity to be part of a high-growth analytics company that values innovation, collaboration, and continuous learning.

  • The candidate will gain hands-on experience in working with real-world data from large retail organizations and develop impactful solutions.

  • Loyalytics offers a dynamic work environment that encourages professional growth and provides exposure to state-of-the-art data science tools and technologies.

  • Employees will have the opportunity to engage with industry experts and senior leadership to enhance their analytical and business acumen.

  • The company fosters a culture of knowledge sharing, mentorship, and teamwork, ensuring that employees have access to the best resources for career development.

  • Competitive salary packages and performance-based incentives are offered to reward high-performing individuals.

  • Employees will be part of a team that thrives on solving challenging problems and creating value through data-driven insights.

  • The company is committed to maintaining a positive work environment, promoting work-life balance, and encouraging continuous upskilling and career progression.


Similar Openings:

  • Head – Retail Loyalty Program (Bangalore)

  • Data Engineer (Bangalore)

  • Salesforce Marketing Cloud Specialist (Bangalore)

For more details and to explore other job opportunities, visit the company’s careers page.


Please click here to apply.

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