At a Glance
- Tasks: Lead and mentor a team of Data Scientists in delivering AI and Data Science programmes.
- Company: Join Datatech, a top UK recruitment agency in analytics, known for innovation and excellence.
- Benefits: Enjoy remote work options, competitive salary, and additional allowances for exceptional candidates.
- Why this job: Make a real impact in health and social care through advanced data science and AI solutions.
- Qualifications: Post-graduate qualification or equivalent experience in data science; expertise in Python, R, and cloud computing required.
- Other info: Opportunity for professional growth and involvement in diversity and inclusion initiatives.
The predicted salary is between 52737 - 71869 £ per year.
Remote Working - UK Home-based with occasional travel into the office
£52,737 - £66,197 (National Framework) or £58,409- £71,869 (London Framework - if you are London office based or homebased and live within the boundary of the M25). Plus an additional allowance (paid as a separate amount to salary) of up to £7000 for exceptional candidates. There is also an additional homeworking allowance of £581 per annum for those working from home.
Please note we can only accept applications from those with current UK working rights for this role, this client cannot offer visa sponsorship.
A new and exciting opportunity has arisen for a Principal Data Scientist with a strong background in Advanced AI (Artificial Intelligence) to lead, mentor and upskill a team of Data Scientists. Collaborating cross-functionally, the role will focus on the delivery of AI and Data Science programmes across the organisation, driving Data Quality, Data Governance and Best Practice.
Proven and demonstrable experience of Python coding and cloud computing is required coupled with fantastic communication skills to problem solve and influence across all levels of the organisation. This is a leadership role and proven experience of leading a team to deliver is required.
Key Responsibilities:- Lead the delivery of AI and Data Science programme across the organisation.
- Lead and develop the Data Science Team.
- Champion Data Science and Advanced Statistics, providing advice to colleagues on the delivery of complex analytic work.
- Contribute to the development of the AI and Data Science programme to drive high impact data science outcomes.
- Experience of leading a team to deliver Data Science solutions.
- Promote excellence and innovation in data science methods for measuring the quality of health and social care services, learning from best practice (national/international), both internally and externally.
- Assess the effectiveness of different advanced statistical and data science modelling approaches and advise data scientists on best tools and approaches to support organisational commitments.
- Manage competing demands for Data Science work within the Data & Insight unit, ensuring sufficient capacity to deliver while managing stakeholder expectations.
- Build and drive relationships internally and externally in order to deliver the AI and Data Science programme.
- Lead and facilitate multi-disciplinary teams from across the unit to deliver outcomes.
- Assure that appropriate quality control and assurance is undertaken to ensure consistency, accuracy and relevance of unit outputs.
- Stay abreast of internal and external developments in data, policy and structures of care delivery.
- Promote a culture of respect and fairness and understand personal responsibilities around delivering against diversity and inclusion strategy.
- Post-graduate qualification in relevant subject or has equivalent professional experience.
- In-depth understanding of a wide range of data science techniques, such as machine learning and natural language processing, and able to apply them to a variety of analytic problems.
- Previous experience in delivery of complex, advanced analytics and/or data science solutions.
- Expert working knowledge of a range of data science tools, especially Python, R, and SQL.
- Experience of cloud computing - Cloud Computing - Azure, AWS or GCP.
- Substantial experience working in cloud-based tools like Databricks for Machine Learning, Azure Machine Learning and Azure AI Foundry as well as experience helping others to use them.
- Experience of delivering Data Science models into production at scale, and collaboration with architecture and engineering teams.
- Proven experience in leading and developing data science or complex analytics teams.
- Strong persuading and influencing abilities.
- Proven experience in managing conflict and articulating coherent rationales for action.
- Proven ability to anticipate problems, know how to prevent them and understand how problems fit into the larger picture.
- Can also develop problem-solving capabilities in others.
- Expert ability to manage stakeholder expectations and facilitate discussions across high risk and complexity or under constrained timescales.
- Proven ability to tailor communication in a compelling way to both technical and non-technical audiences.
If this role sounds like the challenge you are seeking, get in touch today to find out more!
Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme.
Datatech is one of the UK's leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data UK.
Principal Data Scientist employer: Datatech Analytics
Contact Detail:
Datatech Analytics Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Principal Data Scientist
✨Tip Number 1
Make sure to showcase your leadership experience in data science. Highlight any instances where you've successfully led a team or project, as this role requires strong mentoring and team development skills.
✨Tip Number 2
Familiarise yourself with the latest trends in AI and data science, especially in healthcare. Being able to discuss current developments and how they can be applied to improve data quality and governance will set you apart.
✨Tip Number 3
Prepare to demonstrate your technical skills in Python, R, and cloud computing during interviews. Be ready to discuss specific projects where you've used these tools to deliver complex analytics solutions.
✨Tip Number 4
Network with professionals in the field of data science and AI. Engaging with others in the industry can provide insights into best practices and may even lead to referrals that could help you land the job.
We think you need these skills to ace Principal Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in leading data science teams and your expertise in Python, R, and SQL. Emphasise any previous roles where you delivered complex analytics solutions or led AI programmes.
Craft a Compelling Cover Letter: In your cover letter, explain why you're passionate about data science and how your background aligns with the responsibilities of the Principal Data Scientist role. Mention specific projects or achievements that demonstrate your leadership and technical skills.
Showcase Relevant Experience: When detailing your work history, focus on your experience with cloud computing platforms like Azure, AWS, or GCP. Highlight any instances where you've successfully implemented data science models at scale.
Prepare for Potential Questions: Think about how you would answer questions related to managing stakeholder expectations and resolving conflicts within a team. Be ready to discuss your problem-solving approach and how you can influence both technical and non-technical audiences.
How to prepare for a job interview at Datatech Analytics
✨Showcase Your Leadership Skills
As a Principal Data Scientist, you'll be expected to lead and mentor a team. Prepare examples of how you've successfully led teams in the past, focusing on your ability to inspire and develop others.
✨Demonstrate Technical Expertise
Be ready to discuss your experience with Python, R, SQL, and cloud computing platforms like Azure or AWS. Highlight specific projects where you applied advanced data science techniques and the impact they had.
✨Communicate Effectively
You’ll need to convey complex ideas to both technical and non-technical audiences. Practice explaining your past projects in simple terms, emphasising your ability to tailor communication based on your audience.
✨Prepare for Problem-Solving Scenarios
Expect questions that assess your problem-solving skills. Think of examples where you anticipated issues and implemented solutions, showcasing your strategic thinking and ability to manage stakeholder expectations.