Senior Data Scientist | Drive Innovation Through Data | Remote Working Available

Senior Data Scientist | Drive Innovation Through Data | Remote Working Available 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 In this role, you'll be responsible for: - 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 To be successful in this role, you'll need: - 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) These aren't essential, but they're a bonus: - 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! Originally posted on Himalayas