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For Companies At a Glance
- Tasks: Analyse data and build models to drive business insights and innovation.
- Company: Join a leading global professional services brand in the gas station and convenience store sector.
- Benefits: Competitive salary, provident fund, gratuity, and opportunities for growth.
- Why this job: Make an impact with your data skills in a dynamic and innovative environment.
- Qualifications: Bachelor's degree in a quantitative field; 3-4 years of relevant experience required.
- Other info: Work from Gurgaon with a focus on collaboration and excellence.
The predicted salary is between 28800 - 48000 £ per year.
About Our Client
Our client is an international professional services brand of firms, operating as partnerships under the brand. It is the second-largest professional services in gas station and convenient store in the world.
Job Requirements
- Education: Bachelor's degree required, preferably with a quantitative focus (Statistics, Business Analytics, Data Science, Math, Economics, etc.). Master’s degree preferred (MBA/MS Computer Science/Computer Science, etc.).
- Relevant Experience: 3 - 4 years for Data Scientist. Relevant working experience in a data science/advanced analytics role.
- Behavioural Skills: Delivery Excellence, Business disposition, Social intelligence, Innovation and agility.
- Knowledge: Functional Analytics (Supply chain analytics, Marketing Analytics, Customer Analytics, etc.), Statistical modelling using Analytical tools (R, Python, KNIME, etc.), Knowledge of statistics and experimental design (A/B testing, hypothesis testing, causal inference), Practical experience building scalable ML models, feature engineering, model evaluation metrics, and statistical inference, Practical experience deploying models using MLOps tools and practices (MLflow, DVC, Docker, etc.), Strong coding proficiency in Python (Pandas, Scikit-learn, PyTorch/TensorFlow, etc.), Big data technologies & framework (AWS, Azure, GCP, Hadoop, Spark, etc.), Enterprise reporting systems, relational (MySQL, Microsoft SQL Server etc.), non-relational (MongoDB, DynamoDB) database management systems and Data Engineering tools, Business intelligence & reporting (Power BI, Tableau, Alteryx, etc.), Microsoft Office applications (MS Excel, etc.).
Location: Gurgaon, WFO
Data Scientist in Weybridge employer: Michael Page
Contact Detail:
Michael Page Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist in Weybridge
✨Tip Number 1
Network like a pro! Reach out to your connections in the data science field and let them know you're on the hunt for a new role. Attend industry meetups or webinars to meet potential employers and fellow data enthusiasts.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, machine learning, and analytics tools. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on common data science questions and case studies. Practice explaining your thought process clearly, as communication is key in this field. We want to see how you approach problems!
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Data Scientist in Weybridge
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Scientist role. Highlight your relevant experience in data science and analytics, and don’t forget to mention any specific tools or technologies you’ve worked with that match the job description.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data science and how your skills align with our client's needs. Keep it concise but impactful!
Showcase Your Projects: If you've worked on any interesting projects, especially those involving machine learning or big data, make sure to include them. We love seeing practical applications of your skills!
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Michael Page
✨Know Your Data Tools
Make sure you brush up on your knowledge of the analytical tools mentioned in the job description, like Python, R, and any MLOps tools. Be ready to discuss your experience with these tools and how you've used them in past projects.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled complex data problems. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your delivery excellence and innovation.
✨Understand the Business Context
Familiarise yourself with the company's role in the gas station and convenience store sector. Being able to connect your data science skills to their business needs will show that you have a strong business disposition and social intelligence.
✨Ask Insightful Questions
Prepare thoughtful questions about the team, projects, and company culture. This not only shows your interest but also gives you a chance to assess if the company aligns with your career goals and values.
