At a Glance
- Tasks: Lead data analysis to drive impactful healthcare decisions and create actionable insights.
- Company: Join a forward-thinking organisation focused on transforming healthcare through data.
- Benefits: Competitive salary, ongoing training, mentorship, and career progression in a collaborative environment.
- Other info: Enjoy a supportive team culture with opportunities for continuous learning and growth.
- Why this job: Make a real difference in healthcare by turning complex data into meaningful insights.
- Qualifications: 2+ years as a Data Scientist, strong SQL and Python skills, and excellent communication abilities.
The predicted salary is between 36900 - 45100 £ per year.
Level: Mid-Level
Experience: Minimum 2 years' experience in a Data Scientist or similar analytical role
About the Role
We're partnering with an organisation delivering impactful healthcare programmes and are looking for a Senior Data Scientist to help shape data-driven decision-making across the business. This is an exciting opportunity for a data professional who enjoys transforming complex datasets into meaningful insights that drive real-world outcomes. You'll work with key stakeholders across programmes and leadership teams, providing analytical expertise that supports strategic decisions and improves service delivery. As a member of the team, you'll ensure high-quality analytical delivery while helping to develop analytical capability and best practices across the organisation.
What You’ll Be Doing
- Leading complex data analysis to generate actionable insights and support strategic decision-making
- Applying advanced statistical techniques including hypothesis testing, regression analysis, and time-series modelling
- Developing and optimising advanced SQL queries to analyse large and complex datasets
- Using Python for data wrangling, analysis, modelling, and automation
- Identifying trends, risks, and opportunities through the analysis of healthcare and operational data
- Creating compelling visualisations and reports to communicate findings to a range of audiences
- Working closely with stakeholders to understand business challenges and translate them into analytical solutions
- Influencing decision-making through evidence-based recommendations and strategic insight
- Leading analytical projects and ensuring delivery against agreed objectives and timelines
- Supporting and mentoring colleagues to encourage continuous learning and development
- Ensuring analytical outputs meet quality assurance and governance standards
- Driving continuous improvement in analytical methodologies, tools, and best practices
Requirements
Essential Requirements
- A minimum of 2 years' experience working as a Data Scientist or in a similar analytics-focused role
- Strong expertise in advanced analytics and statistical techniques
- Advanced SQL development skills
- Advanced Python skills, including data wrangling and analysis
- Experience analysing and interpreting complex datasets
- Excellent problem-solving and critical thinking skills
- Strong stakeholder management and communication abilities
- Experience presenting complex findings in a clear and engaging way
- Experience leading projects, workstreams, or analytical initiatives
- Eligibility to work in the UK
Desirable (Not Required)
- Experience using data visualisation tools such as Power BI
- Understanding of data governance, quality assurance, and analytical best practice frameworks
- Experience delivering insights within complex programme or transformation environments
Benefits
What We Offer
- Competitive Salary: With a range of benefits, complemented by ongoing training, mentorship, and career progression opportunities within a collaborative team environment.
- Career growth: Work on real client projects and build a strong foundation for your future.
- Collaborative culture: Be part of a team that values learning and innovation.
- Upskilling opportunities: Access to training programs to boost your technical skills.
- Dedicated support: A manager onsite and ongoing mentoring from _nology.
Apply Today!
If you’re ready to take the next step in your career and grow with the support of _nology and a dedicated team, submit your application now. We look forward to hearing from you!
Senior Data Scientist | Drive Innovation Through Data | Remote Working Available in Newcastle upon Tyne employer: _nology
Nology is an exceptional employer that prioritises employee growth through mentorship and hands-on experience in a dynamic financial services environment. Located in Birmingham, the company fosters a collaborative work culture where junior developers can thrive, learning from seasoned professionals while contributing to impactful projects. With a strong focus on skill development and best practices, Nology offers a rewarding career path for those eager to advance their technical expertise.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Scientist | Drive Innovation Through Data | Remote Working Available in Newcastle upon Tyne
✨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 _nology!
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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 | Drive Innovation Through Data | Remote Working Available at _nology.
✨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 _nology.
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We think you need these skills to ace Senior Data Scientist | Drive Innovation Through Data | Remote Working Available in Newcastle upon Tyne
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 _nology, 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 _nology. 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 _nology
✨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 _nology!
✨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.
