At a Glance
- Tasks: Provide data science solutions and insights to drive business value.
- Company: Join Markerstudy Group, a dynamic team of data science professionals.
- Benefits: Hybrid working, technical training, and personal development opportunities.
- Other info: Collaborative environment with excellent growth potential and diverse projects.
- Why this job: Accelerate your career in data science while solving real-world problems.
- Qualifications: Passion for data, strong communication skills, and experience with Python or SQL.
The predicted salary is between 35000 - 45000 £ per year.
Location: Peterborough (hybrid working – 1 day in office)
We have an exciting opportunity at Markerstudy Group for a Data Science Analyst. You will be responsible for providing data science and analytics solutions to support our strategic roadmaps and customer propositions. Working with a variety of teams and stakeholders, you will have strong communication skills allowing the business to adopt and embed your findings. Our Group Data Science team is commercially focused and driven by creating real value from data. We are a growing team of around 15 data science professionals, working across every part of the commercial business to help identify, build, and scale data-driven opportunities.
This role works closely with a wide range of internal and external stakeholders, delivering data products, insights, and analytical services across pricing, partnerships, IT, insurers, customer insight, digital, marketing, and contact-centre teams. This is a great opportunity for you to accelerate your career in Data Science; we'll provide you with all the relevant technical training around our data assets and technology stack. In return, we ask that you are naturally inquisitive, passionate about problem solving and data, and view it as a vocation. You'll fit right into our team environment where you'll learn and develop with likeminded peers.
As part of your Data Science career, you will be expected to develop and understand a wide range of modern statistical, machine learning and data science methods. This knowledge will be applied to a wide range of business problems, adding demonstrable commercial value to the wider Markerstudy Group.
Key Roles and Responsibilities:
- Drive commercial benefit and solve business problems using data
- Build strong, collaborative relationships with stakeholders across Markerstudy Group
- Explore large structured / unstructured data from a variety of sources
- Explore, understand and visualise data using leading tools and technology
- Maintenance of our Data Products, Frameworks and Tools
- Understand End-to-End Data Science / Data Product lifecycles
- Work with other Data Scientists and analytics professionals on Projects
What you can expect to be working on:
Within the first 3 months you will gain knowledge of our data assets by creating actionable business insight from our data warehouse to build a strong foundation. Expect to be hands on using tools like Python / SQL, and working with large datasets within our Azure Cloud Platforms. By the end of your first year, you will be competent in Python programming, our tools and frameworks, and working in many of our machine learning projects. You will have started to create a network of stakeholders. By month 24 you will have had the opportunity to work on a wide variety of data products and understand the commercial applications e.g. Fraud, Claims, Debt, Digital personalisation. You will be skilled in Python (including real time coding) and SQL. Throughout you will receive ongoing personal development with senior members of the team to advance your skills and help guide your future career progression.
Key Skills, Experience and Knowledge:
- Passionate and curious about data science, data
- Love solving problems
- Strong communication skills, and the ability to “story-tell” to our stakeholders and customers, can adapt for audiences of varying technical abilities
- Strong numerical, a solid understanding of mathematical concepts and principles
- Resilience can work independently to deliver projects
- Proactively share insights, results and identify risks with the rest of the team
- Proficient at communicating results in a concise manner both verbally and written
- Experience using an analytical tool/language (Python, R or equivalent) or SQL
- Hands-on experience of data analysis and communicating findings
- Hands-on experience in the cloud platform and tools i.e. Azure, Azure Databricks, Azure Data Factory
- Experience of using collaboration tools such as JIRA and Confluence
- Experience of using version control software e.g. Git
- Experience of running and deploying Azure DevOps pipelines would be advantageous
Behaviours:
- Works collaboratively and contributes positively as part of a team
- Self-motivated with a drive to learn, develop and show ownership
- Logical thinker with a professional and positive attitude
- Passion to innovate and improve processes
- Value differences and people from all walks of life, both colleagues and customers
Data Science Analyst in Peterborough employer: Vermelo
Markerstudy Group is an exceptional employer for a Data Science Analyst, offering a dynamic hybrid working environment in Peterborough that fosters collaboration and innovation. With a strong focus on employee growth, you will receive comprehensive training in cutting-edge data technologies while working alongside a passionate team of data professionals. The company values diversity and encourages a culture of continuous learning, making it an ideal place for those eager to make a meaningful impact through data-driven solutions.
StudySmarter Expert Advice🤫
We think this is how you could land Data Science Analyst in Peterborough
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Vermelo!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Science Analyst at Vermelo.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Vermelo.
✨Apply Directly through Our Website
When you find a suitable opening like Data Science Analyst at Vermelo, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Science Analyst in Peterborough
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Vermelo, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Vermelo. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Vermelo
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Vermelo!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
