At a Glance
- Tasks: Support NHS digital transformation by turning complex data into clear insights.
- Company: Join a leading organisation driving change in the NHS.
- Benefits: Competitive pay, flexible working, and the chance to make a real difference.
- Other info: Exciting opportunity for growth in a dynamic health tech environment.
- Why this job: Be part of a vital project that enhances healthcare through data.
- Qualifications: Experience with NHS data, reporting tools, and stakeholder engagement.
The predicted salary is between 37338 - 44962 £ per year.
We’re looking for an experienced NHS Data Consultant to support a digital transformation programme within the NHS. This role would suit someone who is confident working across data, reporting and EPR delivery, someone who can take complex clinical, operational and technical requirements and turn them into clear, useful reporting and insight.
You’ll be supporting key data workstreams across the programme, including:
- Data migration
- Reporting readiness
- Dashboard development
- Data quality
- Statutory reporting
- Post go-live optimisation
We’re looking for someone with strong experience across:
- NHS data and reporting: Including national datasets and statutory reporting requirements such as SUS, HES, RTT, ECDS, SitRep and CSDS, alongside local performance, operational and financial reporting.
- EPR programmes: Experience working with EPR systems such as Nervecentre, Cerner or Epic, ideally across implementation, optimisation, data migration, validation and reporting workstreams.
- Dashboards and insight: Strong reporting and dashboarding experience using tools such as Power BI, Tableau, Qlik, SSRS and SQL, with the ability to build meaningful “ward-to-board” reporting for clinical, operational and executive teams.
- Data quality and governance: A good understanding of data quality, IG, DSPT and NHS reporting standards, with experience cleansing, validating and reconciling data across legacy and EPR systems.
- Stakeholder engagement: Someone who can work confidently with clinical, operational, technical and executive stakeholders, and communicate complex data in a way that is clear, practical and useful.
This is a great opportunity for someone who understands how important good data is to the success of an NHS digital programme before, during and after go-live. Please get in touch if you’re available or becoming available soon, or feel free to share with anyone in your network who may be a good fit.
Data Consultant employer: SCFH
As an NHS Data Consultant, you will be part of a transformative journey within the healthcare sector, contributing to vital digital initiatives that enhance patient care. Our organisation fosters a collaborative work culture that values innovation and professional growth, offering opportunities for continuous learning and development in a supportive environment. With a focus on meaningful impact, you will engage with diverse stakeholders and leverage your expertise to drive data excellence across the NHS.
StudySmarter Expert Advice🤫
We think this is how you could land Data Consultant
✨Showcase Your Skills with a Public Portfolio
As a freelancer in data science, having a killer portfolio is essential. Showcase your projects on platforms like GitHub or create a personal website that details your work and techniques. This gives potential clients a clear picture of what you can do and helps you stand out from the competition.
✨Get Involved in Data Science Communities
Tap into online forums like Kaggle or Stack Overflow. Not only can you showcase your expertise, but you can also connect with other data scientists and potential clients. Plus, participating in competitions and discussions can elevate your profile in the field.
✨Leverage Local Networking Opportunities
Keep an eye out for local data science meetups or tech events in your area. These are golden opportunities to meet potential clients and collaborators face-to-face. Plus, who doesn't love a bit of networking over pizza and drinks?
✨Pitch Your Services Directly to Companies
Don't just wait for freelancing platforms to bring clients to you—be proactive! Research companies that could benefit from data science services and craft tailored pitches. Mention specific pain points you can address for them. Let’s get that freelance hustle going!
We think you need these skills to ace Data Consultant
Some tips for your application 🫡
Showcase Your Projects:When applying for a freelance data science role like Data Consultant at SCFH, it’s crucial to highlight your projects. Include a portfolio that features at least two or three projects involving data analysis, machine learning, or visualisation. Make sure to describe the tools and methodologies you used, so we can see your skills in action!
Quantify Your Achievements:Freelance gigs, especially in data science, often ask for proven results. In your CV, include any relevant metrics or outcomes from your previous work. Did your analysis help reduce costs by a certain percentage? Or did your predictive model improve performance? Numbers speak volumes!
Introduce Your Style:Since freelancing is all about your individual style and approach, use your cover letter to share how you tackle data problems. This is your chance to let us know how you think, your creative problem-solving methods, and how you would approach a project at SCFH.
Be Real About Your Rates:When you send in your application, don’t forget to mention your freelance rates and availability. We appreciate clarity up front, and it helps us gauge if you fit within our budget and timeline. Being transparent in this aspect shows professionalism and readiness!
How to prepare for a job interview at SCFH
✨Show Off Your Data Wizardry
As a freelancer in data science, you'll want to present a portfolio that showcases your best projects. We should pull together examples where you tackled real problems with data analytics, machine learning models, or visualisations. It's all about demonstrating your skills in action!
✨Be Ready to Dive Deep into Technical Questions
Expect to encounter some technical grilling during the interview. Prepare to discuss statistical methods, algorithms, or maybe even tackle a live coding challenge. We should brush up on tools like Python, R, or SQL—those are key players in the data science field. Don't just know them; be ready to explain your thought process!
✨Help Them Understand Your Work Style
Freelance gigs often mean you'll be working independently, so we need to convey our self-motivation and time management skills. Be prepared to talk about how you’ve handled multiple projects or met tight deadlines before. Sharing your approach to client communication can also give them confidence in your ability to deliver remotely.
✨Pitch Your Value Proposition
When freelancing, it’s crucial to clearly articulate what makes you unique. We should highlight not just technical skills but also the business impact of our projects. Think of a couple of stories where your data insights drove decision-making—this can be a game changer in showing why they should choose you for their freelance needs!
