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For Companies At a Glance
- Tasks: Lead data science projects using ML/AI to drive business decisions.
- Company: Join a strong, data-driven analytical department focused on marketing and customer insights.
- Benefits: Opportunity for growth in a collaborative environment with a mix of data professionals.
- Why this job: Be part of a growing team that values innovation and data-driven strategies.
- Qualifications: Postgraduate degree in STEM or equivalent experience; strong coding and statistical skills required.
- Other info: Work closely with stakeholders and contribute to impactful data science products.
The predicted salary is between 43200 - 72000 £ per year.
Job Description
We want to expand our Data Science function further within our well-established strong data-driven Centralised Analytical department. Our Data Science mission is to build machine models in the production environment relative to Marketing, Customer Insights, and Safer Gambling and establish a strong culture of data-driven decision-making in our organisation’s strategy.
We are looking for a well-established Data Scientist at all levels who wants new challenges. As a Senior Data Scientist, you will work using data engineering, statistical, and ML/AI approaches to uncover data patterns and build models. We use Microsoft tech stack, including Azure Databricks (Pyspark, python), and we are expanding our data science capabilities.
To be successful in the role, you will need to have extensive experience in data science projects and have built the professional skill to understand when an approach to a project is not working, to pause and change approach.
The Data Science department is currently a smaller team, with an ambition to grow, with a mix of Data Scientists and ML engineers. Therefore, it is an excellent opportunity to grow, contribute and challenge yourself.
We are not an isolated function, so expect to work closely with business stakeholders, data engineers, marketing analysts, and BI analysts to improve our existing models, create new models, and bring our expertise.
Core Responsibilities
- Apply advanced statistical techniques and ML/AI models to development and production environments.
- Collaborate with team members and stakeholders to build data science products that enable others to make business decisions.
Qualifications
- Postgraduate degree in a relevant discipline (e.g. STEM, Maths, Statistics, Physics) or equivalent experience.
- Good data modelling, software engineering knowledge, and strong knowledge of statistical, mathematical, and ML modelling are a must at this stage.
- Skilful in writing well-engineered code.
- Proven experience working with ML engineers and production systems (including Cloud platforms).
- Proven ability to analyse large sets and experience-built ML/AI models in production with the ability to translate them into insights and actionable business recommendations.
- Great technical and commercial communication and collaboration skills with some presentation skills.
- Passion for learning and keeping abreast of new technologies and data models.
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Senior Data Scientist employer: Grosvenor Casinos Limited
Contact Detail:
Grosvenor Casinos Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist
✨Tip Number 1
Familiarize yourself with the Microsoft tech stack, especially Azure Databricks, Pyspark, and Python. Having hands-on experience or projects that showcase your skills in these technologies will make you stand out.
✨Tip Number 2
Highlight your experience in collaborating with cross-functional teams. Since you'll be working closely with business stakeholders and other analysts, showcasing your teamwork and communication skills can set you apart.
✨Tip Number 3
Prepare to discuss specific data science projects you've worked on, particularly those involving ML/AI models in production. Be ready to explain your approach, challenges faced, and how you adapted when things didn't go as planned.
✨Tip Number 4
Stay updated on the latest trends and technologies in data science. Showing your passion for continuous learning and how you've applied new knowledge in your work can impress the hiring team.
We think you need these skills to ace Senior Data Scientist
Some tips for your application 🫡
Understand the Role: Make sure to thoroughly read the job description for the Senior Data Scientist position. Understand the core responsibilities and qualifications required, especially the emphasis on collaboration with stakeholders and technical skills in ML/AI.
Tailor Your CV: Customize your CV to highlight relevant experience in data science projects, particularly those involving statistical techniques and machine learning models. Emphasize your experience with Microsoft tech stack and any cloud platforms you've worked with.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data science and your ability to adapt approaches when projects face challenges. Mention specific examples of past projects where you collaborated with cross-functional teams to achieve business goals.
Highlight Continuous Learning: In your application, express your enthusiasm for learning new technologies and data models. Mention any recent courses, certifications, or projects that demonstrate your commitment to staying updated in the field of data science.
How to prepare for a job interview at Grosvenor Casinos Limited
✨Showcase Your Technical Skills
Be prepared to discuss your experience with the Microsoft tech stack, especially Azure Databricks, Pyspark, and Python. Highlight specific projects where you applied advanced statistical techniques and ML/AI models.
✨Demonstrate Problem-Solving Abilities
Share examples of when you encountered challenges in data science projects. Explain how you recognized when an approach wasn't working and how you adapted your strategy to achieve better results.
✨Emphasize Collaboration Experience
Since the role involves working closely with various stakeholders, be ready to discuss your experience collaborating with data engineers, marketing analysts, and BI analysts. Provide examples of successful teamwork that led to impactful data science products.
✨Communicate Your Passion for Learning
Express your enthusiasm for staying updated on new technologies and data models. Discuss any recent courses, certifications, or projects that demonstrate your commitment to continuous learning in the field of data science.
