At a Glance
- Tasks: Lead Data Science projects and develop advanced models for pricing strategies.
- Company: Established organisation with a strong data-driven culture and growth opportunities.
- Benefits: Up to £52,000 salary, training budget, and dedicated learning time each week.
- Other info: Collaborative culture with hybrid working and clear career progression.
- Why this job: Make a real impact on pricing initiatives while mentoring junior team members.
- Qualifications: Strong Data Science experience, advanced Python skills, and problem-solving abilities.
The predicted salary is between 63000 - 77000 £ per year.
Manchester or Haywards Heath (1 day per month) | Up to £52,000 + Bonus
Are you a commercially minded Data Scientist who enjoys solving complex business problems and taking ownership of projects from concept to delivery?
This Senior Data Scientist opportunity offers the chance to work on high-impact pricing initiatives, develop advanced modelling solutions, and mentor junior team members, all within a business that actively invests in learning, development, and career progression.
The Company
They are a well-established organisation with a strong data-driven culture and a growing Data Science function.
The team supports critical business areas through advanced analytics, machine learning, and statistical modelling.
With a collaborative approach and clear progression opportunities, they offer an environment where Data Scientists can develop both their technical and leadership capabilities.
The Role
As a Senior Data Scientist in the Pricing team, you will
- Lead Data Science projects that support pricing strategy and commercial decision-making.
- Build and enhance machine learning and statistical models using complex datasets.
- Work on a mix of strategic initiatives and ad hoc analytical challenges.
- Tackle ambiguous data problems and identify practical, evidence-based solutions.
- Partner with stakeholders across the business to understand requirements and communicate insights.
- Mentor and support junior Data Scientists within the team.
- Collaborate with MLOps teams to ensure solutions are successfully productionised.
- Contribute to research and experimentation that drives innovation within the pricing function.
- Your Skills & Experience
- Strong commercial Data Science experience within insurance, financial services, or another highly regulated environment.
- Advanced Python skills for modelling and analytical development.
- Hands-on experience with machine learning techniques, including XGBoost and statistical modelling.
- A track record of independently delivering Data Science projects from problem definition through to implementation.
- Strong logical reasoning and problem-solving skills.
- Experience working with stakeholders and translating business challenges into analytical solutions.
- Previous experience mentoring or supporting less experienced team members.
- Exposure to Databricks and Py Spark would be beneficial.
- What They Offer
- Dedicated learning and development time each week.
- Training budget to support continuous growth.
- Clear career progression opportunities within the Data Science function.
- Collaborative team culture with regular team events and networking opportunities.
- Hybrid working with attendance in Manchester or Haywards Heath once per month.
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Senior Data Scientist in Haywards Heath employer: Harnham
As a leading specialist data consultancy, we pride ourselves on fostering a collaborative and innovative work culture that empowers our Analytics Engineering Consultants to thrive. With a focus on professional development, we offer extensive growth opportunities and the chance to work on high-impact projects across diverse industries, all while enjoying the flexibility of remote work in the UK. Join us to be part of a team that values your expertise and encourages you to influence strategy and drive meaningful change for our clients.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Scientist in Haywards Heath
✨Get Involved in Data Science Meetups
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✨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 Senior Data Scientist at Harnham.
✨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.
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We think you need these skills to ace Senior Data Scientist in Haywards Heath
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, 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. 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
✨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!
✨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.
