At a Glance
- Tasks: Tackle complex pricing challenges and build machine learning models that drive real business impact.
- Company: Join a dynamic insurance business with a growing Data Science team.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Support and mentor junior Data Scientists in a collaborative environment.
- Why this job: Make a difference by solving real-world problems and influencing commercial outcomes.
- Qualifications: Strong experience in Data Science, advanced Python and SQL skills required.
The predicted salary is between 63000 - 77000 £ per year.
Data Scientist
Join a growing Data Science team within an insurance business where you'll tackle complex pricing challenges, build production-ready machine learning models, and work on projects that directly influence commercial outcomes.
This is a great opportunity for someone who enjoys solving business problems as much as building models.
The Role
You will
- Build, validate and deploy machine learning and statistical models
- Work with Python, SQL, Databricks and Py Spark to analyse large datasets
- Solve pricing and risk-related business challenges
- Explore new data sources and test innovative ideas
- Own projects from problem definition through to implementation
- Present insights to technical and non-technical stakeholders
- Support and mentor junior Data Scientists
- Your Skills & Experience
- Strong commercial Data Science experience
- Advanced Python and SQL skills
- Experience with Databricks and/or Py Spark
- Knowledge of machine learning techniques such as XGBoost and Light GBM
- Strong statistical modelling capability
- Excellent problem-solving and stakeholder management skills
- Experience in insurance, financial services, or another regulated environment is advantageous
- #J-18808-Ljbffr
Data Scientist in Manchester employer: Harnham - Data and Analytics Recruitment
As an AI Automation Lead at this investment-focused organisation in London, you will thrive in a collaborative and innovative environment that prioritises technology and data. The company offers a competitive salary, comprehensive benefits, and the unique opportunity to build impactful AI solutions from the ground up, all while fostering professional growth and cross-functional teamwork.
Contact Details:
Harnham - Data and Analytics Recruitment Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist in Manchester
✨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 Harnham - Data and Analytics Recruitment!
✨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 Scientist at Harnham - Data and Analytics Recruitment.
✨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 Harnham - Data and Analytics Recruitment.
✨Apply Directly through Our Website
When you find a suitable opening like Data Scientist at Harnham - Data and Analytics Recruitment, 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 Scientist in Manchester
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 Harnham - Data and Analytics Recruitment, 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 Harnham - Data and Analytics Recruitment. 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 Harnham - Data and Analytics Recruitment
✨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 Harnham - Data and Analytics Recruitment!
✨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.
