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For Companies At a Glance
- Tasks: Explore and analyse data to drive business insights and solutions.
- Company: Join Markerstudy Distribution, a growing team of data science professionals.
- Benefits: Hybrid working, ongoing training, and career progression opportunities.
- Why this job: Kickstart your data science career with hands-on experience and impactful projects.
- Qualifications: Passion for data, problem-solving skills, and familiarity with Python or SQL.
- Other info: Collaborative environment with a focus on personal development and innovation.
The predicted salary is between 28800 - 48000 £ per year.
Overview
Job Title: Data Science Analyst
Location: Peterborough (hybrid working – 2 days in office)
We have an exciting opportunity at Markerstudy Distribution (part of Markerstudy Group) for a Data Science Analyst. You will be responsible for providing data science and analytics solutions that helps to shape our strategic roadmaps and customer propositions, working with a variety of teams and stakeholders to embed your findings.
Our Data Science and Pricing team provides value in showcasing the business how to monetise data, we are a team of 80 and growing Data Science and Pricing analytical professionals working with every corner of our commercial business. This role sits in the Data Science team. The Data Science team provides data products, insights and services to internal / external stakeholders from partnerships, insurers, customer insight, digital, marketing and call centre teams.
This is a great springboard opportunity for you to start your career in Data Science, we\\\’ll provide you with the relevant technical training around our data asset and technology plus more, all we ask is that you\\\’re naturally inquisitive, passionate about problem solving and data, and view it as a vocation. You\\\’ll fit right into our environment 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.
Responsibilities
- Explore large structured/ unstructured data from a variety of sources
- Explore, distil and visualise data using leading tools and technology
- Build strong, collaborative relationships with stakeholders across Markerstudy Distribution and Group
- Maintenance of our Data Products, Frameworks and Tools
- Drive commercial benefit and solve business problems using data
- Understand End-to-End Data Science / Product lifecycle
- Working with other Data Scientists & Managers, analytics professionals on Projects
What You Can Expect To Be Working On
- Within the first 3-6 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.
- By the end of your first year, you will be competent in Python programming, our tools and framework, and will have undertaken at least one machine learning project. 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 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 guide your future career progression.
Key Skills, Experience And Knowledge
- Passionate and curious about data science, data. Love solving problems.
- Strong numerical, a solid understanding of mathematical concepts and principles.
- Strong communication skills, and the ability to “story-tell” to our stakeholders and customers, can adapt for audiences of varying technical abilities.
- 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 (advantageous)
- Hands-on experience of data analysis and communicating findings (advantageous)
- Hands-on experience in the cloud platform and tools i.e. Azure, Databricks (advantageous)
Behaviours
- Team player
- Self-motivated with a drive to learn and develop
- 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
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Data Science Analyst employer: Thinkways Software Technologies Pvt. Ltd.
Contact Detail:
Thinkways Software Technologies Pvt. Ltd. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Science Analyst
✨Tip Number 1
Network like a pro! Reach out to current employees at Markerstudy Distribution on LinkedIn. Ask them about their experiences and any tips they might have for landing the Data Science Analyst role. Personal connections can make a huge difference!
✨Tip Number 2
Prepare for the interview by brushing up on your Python and SQL skills. Be ready to discuss how you've used these tools in past projects. We want to see your problem-solving skills in action, so think of examples that showcase your analytical prowess.
✨Tip Number 3
Show your passion for data! During interviews, share your thoughts on recent trends in data science or any personal projects you've worked on. This will demonstrate your curiosity and commitment to the field, which is exactly what we’re looking for.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team at Markerstudy Distribution.
We think you need these skills to ace Data Science Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Data Science Analyst role. Highlight any relevant projects or coursework in data science, Python, or SQL to show us you’re a great fit!
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about data science and how your curiosity drives you. Share specific examples of problem-solving experiences that showcase your analytical skills.
Showcase Your Communication Skills: Since strong communication is key for this role, make sure to demonstrate your ability to explain complex data insights clearly. Use concise language and structure your application to reflect your storytelling abilities.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at Thinkways Software Technologies Pvt. Ltd.
✨Know Your Data Science Basics
Make sure you brush up on your fundamental data science concepts, especially around statistical methods and machine learning. Be ready to discuss how you've applied these in past projects or coursework, as this will show your passion and understanding of the field.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled data-related problems. Use the STAR method (Situation, Task, Action, Result) to structure your answers, highlighting your analytical thinking and how you derived insights from data.
✨Communicate Clearly and Effectively
Since strong communication skills are key for this role, practice explaining complex data findings in simple terms. Think about how you would present your insights to stakeholders with varying levels of technical knowledge, and be ready to demonstrate this during the interview.
✨Foster a Collaborative Mindset
Emphasise your ability to work well in teams and build relationships with stakeholders. Prepare examples of how you've collaborated with others in previous roles or projects, showcasing your team player attitude and resilience in delivering results.
