At a Glance
- Tasks: Tackle complex pricing challenges and build machine learning models that drive business success.
- Company: Join a dynamic insurance business with a growing Data Science team.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Other info: Support and mentor junior Data Scientists in a collaborative environment.
- Why this job: Make a real impact by solving business problems and influencing commercial outcomes.
- Qualifications: Strong Data Science experience with advanced Python and SQL skills required.
The predicted salary is between 63000 - 77000 £ per year.
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
- Build, validate and deploy machine learning and statistical models
- Work with Python, SQL, Databricks and PySpark 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 PySpark
- Knowledge of machine learning techniques such as XGBoost and LightGBM
- Strong statistical modelling capability
- Excellent problem-solving and stakeholder management skills
- Experience in insurance, financial services, or another regulated environment is advantageous
Data Scientist in Manchester employer: Harnham - Data & Analytics Recruitment Careers
As a leading consumer retail organisation based in London, we pride ourselves on fostering a dynamic and inclusive work culture that champions innovation and collaboration. Our commitment to employee growth is evident through tailored development programmes and the opportunity to lead transformative digital initiatives, all while enjoying a competitive salary and bonus structure. Join us to be part of a forward-thinking team that values your contributions and empowers you to drive meaningful change in a rapidly evolving market.
Contact Details:
Harnham - Data & Analytics Recruitment Careers Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist in Manchester
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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!
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Craft a Tailored Cover Letter:For a full-time role at Harnham - Data & Analytics Recruitment Careers, 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 & Analytics Recruitment Careers. 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 & Analytics Recruitment Careers
✨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!
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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 & Analytics Recruitment Careers!
✨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.
