At a Glance
- Tasks: Analyse complex datasets to uncover insights and improve business performance.
- Company: Fast-scaling, data-driven company in the insurance sector.
- Benefits: Competitive daily rate, hybrid working, and impactful projects.
- Other info: Inclusive recruitment process welcoming diverse candidates.
- Why this job: Join a dynamic team and make a real difference with data science.
- Qualifications: Strong SQL and Python skills, with experience in data analysis.
Location
Hampshire - Hybrid
Contract
Initial 6-month engagement
Rate
Overview of the Role
Share Force is supporting a fast-scaling, data-driven business looking to appoint an experienced Data Scientist on an initial 6-month contract.
This is a hands-on role with a strong focus on data analysis, commercial insight and applied data science.
Working with large, complex and unstructured datasets, you will help the business better understand customer and commercial performance, identify opportunities for improvement and turn data into clear, actionable insight.
A key area of focus will be working with an existing AI model centred around the capture and analysis of unstructured data from customer conversations.
You will use the data and outputs generated from these interactions to identify meaningful patterns and insights and explore how they can be combined with wider customer and commercial data.
Responsibilities
- Analyse large and complex datasets to identify trends, patterns and opportunities to improve performance.
- Deliver actionable insight across lead generation, conversion, customer behaviour and retention.
- Translate commercial questions into structured analytical problems and determine appropriate analytical approaches.
- Use SQL and Python to interrogate, manipulate and analyse data.
- Apply statistical and data science techniques to understand customer behaviour and performance drivers.
- Analyse structured and unstructured customer data, including data captured from customer conversations.
- Work with the existing conversational data model and support the analysis and enhancement of its outputs.
- Explore opportunities to combine conversational data with wider customer and commercial datasets.
- Develop and improve dashboards, reporting and KPI measurement.
- Present analytical findings as clear, practical recommendations to commercial and operational stakeholders.
- Identify and investigate data-quality issues affecting analytical outputs.
Skills & Experience
- Strong experience as a Data Scientist, Decision Scientist or in a similarly hands-on analytical role.
- Advanced SQL and strong Python skills.
- Excellent exploratory data analysis and analytical problem-solving capability.
- Strong statistical knowledge with practical experience applying data science and machine-learning techniques.
- Experience analysing customer and commercial performance, ideally across acquisition, conversion, retention or customer behaviour.
- Experience working with unstructured or semi-structured data, ideally text or conversational data.
- Experience with data visualisation tools such as Power BI or Tableau.
- Experience with modern cloud data environments; Microsoft Azure and Databricks would be advantageous.
- Strong stakeholder and communication skills, including the ability to explain complex analysis to non-technical audiences.
- Experience within insurance, financial services, regulated environments or high-volume B2C businesses would be advantageous.
- Exposure to NLP, text analytics, experimentation or A/B testing would also be beneficial.
Package & Working Arrangements
- Initial 6-month contract.
- Outside IR35
- Hybrid working, with 2-3 days per week onsite in Hampshire
- Opportunity to work on commercially impactful data and analytics initiatives within a growing, data-driven organisation.
Share Force is committed to creating an inclusive recruitment process.
Applications are welcomed from candidates of all backgrounds who can demonstrate the experience and potential required for the role.
#J-18808-Ljbffr
Data Scientist - Insurance Contract employer: Shareforce
Shareforce is an exceptional employer that fosters a dynamic and collaborative work environment in the heart of Oxford. With a strong focus on employee growth, we offer unique opportunities for professional development alongside hands-on experience in scientific operations. Our commitment to innovation and teamwork ensures that every team member plays a vital role in our mission to advance scientific solutions.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist - Insurance Contract
✨Tap into Online Data Science Communities
Join online communities focused on data science like Kaggle, LinkedIn groups, or Reddit threads. These are goldmines for temporary gigs, as you can network with professionals and potentially hear about opportunities at companies like Shareforce before they're even advertised!
✨Show Off Your Skills With Projects
Got some cool data science projects? Showcase them on platforms like GitHub or create a personal portfolio website. This visibility is crucial for landing temporary roles—let recruiters see your actual skills in action, which can set you apart from the crowd.
✨Check Out Specialist Job Boards
For temp roles, hit up job boards dedicated to tech and data science, like Stack Overflow Jobs or DataJobs. These platforms often feature openings that you won’t find on general job sites, including contracts with companies like Shareforce.
✨Leverage University Resources
If you're currently at uni or recently graduated, tap into your school's career services. They often have connections with companies looking for temporary data science interns or contract workers, and they might even host job fairs with employers like Shareforce.
We think you need these skills to ace Data Scientist - Insurance Contract
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Shareforce, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to Shareforce, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab Shareforce’s attention and show the tangible impact of your work.
How to prepare for a job interview at Shareforce
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at Shareforce.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at Shareforce.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at Shareforce.
