Analytics Data Scientist

The primary purpose of an Analytics Data Scientist at HC-One is to leverage data-driven techniques to generate insights that empower strategic decision-making, improve care delivery, and enhance workforce efficiency and resident outcomes.

Specialising in machine learning and statistical analysis, you will be responsible for developing predictive models, delivering advanced analytics, and uncovering trends to shape the organisation's care home operations. By designing and deploying machine learning models, conducting trend analysis, and developing predictive tools, you will forecast resident needs, workforce requirements, and financial outcomes.

You will collaborate closely with data engineers, analysts, and operational teams to translate business challenges into data-driven solutions, presenting insights clearly to both technical and non-technical stakeholders. Your work will drive innovation, optimise care outcomes, enhance resident satisfaction, and automate routine processes. Additionally, you will utilise platforms like Microsoft Fabric and Power BI to prepare data, build advanced visualisations, and support smarter decision-making across the organisation.

About You

The ideal candidate will bring a combination of strong technical expertise, soft skills, and relevant experience to the role:

You will need to havestrong programming skillsin languages like Python, R, or other statistical programming tools. Experience withmachine learning frameworkssuch as TensorFlow, PyTorch, or Scikit-learn is essential to successfully build and deploy models. Additionally, you should have a solid understanding ofstatistical analysistechniques, including hypothesis testing, regression, and time-series analysis, to ensure insightful data interpretation.

In terms ofdata visualisation, proficiency in tools such as Power BI or Tableau is key to presenting findings clearly and effectively. Familiarity withbig data technologieslike Spark is a plus, enabling you to work with larger datasets and distributed computing environments.

On the softer side, the right candidate will demonstratestrong problem-solvingandcritical thinking skillsto tackle complex challenges. You should also haveexcellent communication skills, both in presenting findings and instorytelling, ensuring that data insights resonate with stakeholders at all levels. As the role requires working across teams, you'll need the ability tocollaborate effectivelywith colleagues from various disciplines.

Educationally, a Bachelor's degree (or higher) in Data Science, Computer Science, Mathematics, Statistics, Engineering, or Operational Research is preferred. However, practical experience in data science roles may be considered in lieu of formal education.

With2+ years of experiencein data science or analytics, you should have a proven track record inbuilding machine learning modelsand applying statistical analysis to solve business problems. Experience with data platforms within theMicrosoft ecosystem- such as Microsoft Fabric, Power BI, and Azure Synapse Analytics - is beneficial. Familiarity with thecare home, healthcare, oroperational sectorswould be an advantage but is not essential.

Role & Responsibilities

Data Analysis and Insight Generation

1. Model Development: Design, build, and deploy machine learning models and statistical algorithms to predict outcomes and optimise care delivery.
2. Trend Analysis: Conduct exploratory data analysis to identify patterns and trends that drive key business decisions.
3. Predictive Analytics: Develop tools and dashboards to forecast resident needs, workforce requirements, and financial outcomes.

Collaboration and Stakeholder Engagement

1. Cross-Team Collaboration: Work closely with Data Engineers, Analysts, and operational teams to identify business challenges and translate them into data science projects.
2. Data Storytelling: Present insights and recommendations to both technical and non-technical stakeholders, ensuring clarity and impact.
3. Support Decision-Making: Enable stakeholders to make informed, data-driven decisions by providing actionable insights.

Innovation and Continuous Improvement

1. Research and Development: Stay updated on the latest advancements in data science and assess their relevance for improving operations.
2. Optimise Care Outcomes: Identify opportunities to leverage data science for enhancing resident satisfaction, workforce utilisation, and care quality.
3. Process Automation: Develop intelligent algorithms to automate routine decision-making and analysis tasks.

Platform and Data Utilisation

1. Data Preparation: Use Microsoft Fabric and other tools to extract, clean, and transform data for analysis.
2. Tool Integration: Leverage tools such as Power BI for advanced visualisations and reporting.

You'll enjoy the best of both worlds with this hybrid role - working remotely while staying connected with your team in person. To maintain strong collaboration and align with business needs, you will be expected to work from our offices in London or Darlington on a semi-regular basis, with flexibility built around key projects and team schedules.

About HC-One

At HC-One, kindness is more than a word; it is a belief that caring for people means understanding what matters most to them, so we can support them to lead their best life. Our team embodies five key qualities, known as Kindness the HC-One Way: curiosity, compassion, creativity, courage, and reliability.

We champion inclusivity, fostering a workplace where everyone feels valued and can be themselves. Our diverse workforce helps us better represent the communities we serve.

Our dedicated colleagues strive to deliver outstanding care, and we support their professional and personal growth through robust career pathways, CPD, and postgraduate programs. HC-One invests in our team, offering opportunities to progress into regional and national roles.

Safeguarding is everyone's responsibility. All colleagues receive appropriate training to recognise and respond to signs of abuse, harm, or neglect. We ensure everyone knows how to seek advice and report concerns, including escalation if necessary.

We invite applicants from all backgrounds to join our HC-One family, committed to providing a quick and supportive onboarding process.

Rewards & Benefits

Complimenting your salary*, you will enjoy access to a huge variety of benefits and services to support your physical and psychological well-being and throughout your career we will invest in you and you will enjoy additional support and benefits including:

• Award-winning learning and development
• 25 days annual leave
• Stakeholder pension scheme
• Private medical insurance
• An opportunity to learn from experienced colleagues as part of an outstanding and committed team.
• GP online - providing around the clock GP consultation via an interactive app - available to you and your children under 16
• Colleague discounts - Access to over 1600 high street discounts including carefully selected discount partners
• Wellbeing - free of charge access to an independent and confidential Employee Assistance Programme. This gives Colleagues and their family access to 24/7 365 support for a whole range of issues including physical, mental and financial issues

We want you to have an amazing experience working at HC-One, starting with our commitment to providing the quickest possible turnaround from the point of making you a job offer to you starting with us on day one.

*Please note the salary dependent on experience:At HC-One, we know the right person makes all the difference. If you bring the passion, expertise, and vision to shape how data drives decision-making and care, we're open to discussing a salary that reflects your skills and experience.

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