Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Analyse data to drive insights and support decision-making in a dynamic environment.
- Company: Join a leading international professional services brand with a global presence.
- Benefits: Competitive salary, PF, gratuity, and opportunities for professional growth.
- Why this job: Make an impact by leveraging data science in a fast-paced industry.
- Qualifications: Bachelor's degree in a quantitative field; 3-4 years of relevant experience required.
- Other info: Work in Gurgaon with a focus on innovation and collaboration.
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 Addlestone employer: Michael Page
Contact Detail:
Michael Page Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist in Addlestone
✨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. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data science projects, especially those involving Python, machine learning, and analytics. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and behavioural questions. Practice explaining your past projects and how you've used tools like R, Python, and big data technologies. Confidence is key!
✨Tip Number 4
Don't forget to apply through our website! We have loads of opportunities waiting for talented data scientists like you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Data Scientist in Addlestone
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 needs. Keep it concise but engaging – we want to see your personality!
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, so share your successes and what you learned!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of 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 tools mentioned in the job description, like Python, R, and any big data technologies. Be ready to discuss your experience with these tools and how you've used them in past projects.
✨Showcase Your Analytical Skills
Prepare to talk about specific examples where you've applied statistical modelling or built scalable ML models. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your problem-solving abilities.
✨Understand the Business Context
Since this role involves analytics in supply chain, marketing, and customer insights, do some research on how data science impacts these areas. Being able to connect your technical skills to real-world business outcomes will impress your interviewers.
✨Practice Your Communication Skills
Data scientists often need to explain complex concepts to non-technical stakeholders. Practice explaining your past projects in simple terms, focusing on the impact of your work rather than just the technical details.
