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- Tasks: Lead and mentor a Data Science team, 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 flexibility, competitive salary, and a home working allowance.
- Why this job: Make an impact in health and social care through data science while promoting diversity and inclusion.
- Qualifications: Post-graduate qualification or equivalent experience in data science; strong Python and cloud computing skills required.
- Other info: Referral bonuses available for introducing candidates; must have UK working rights.
The predicted salary is between 50000 - 70000 £ per year.
A new and exciting opportunity has arisen for a Data Science Manager with proven experience of managing, mentoring and upskilling Data Scientists. Collaborating cross-functionally, the role will focus on the delivery of Data Science and AI programmes across the organisation, driving Data Quality, Data Governance and Best Practice. Proven and demonstrable experience of Python coding, cloud computing as well as leading data science teams to deliver data science projects is essential. You'll have fantastic communication and influencing skills to lead both technical and non-technical stakeholders of all levels through the delivery process.
Key Responsibilities:
- Lead the delivery of AI and Data Science programme across the organisation
- Lead and develop an existing Data Science Team to deliver Data Science solutions
- 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.
- 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.
Skills and Experience:
- 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.
- 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.
- 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.
- Expert working knowledge of a range of data science tools, especially Python, R, and SQL.
- Experience of 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.
If you are seeking a Data Science leadership role get in touch today to find out more!
Data Science Manager - UK Remote Working employer: Datatech
Contact Detail:
Datatech Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Science Manager - UK Remote Working
✨Tip Number 1
Familiarise yourself with the latest trends in data science and AI. Being able to discuss recent advancements or case studies during your interview can demonstrate your passion and knowledge in the field, making you a more attractive candidate.
✨Tip Number 2
Network with professionals in the data science community. Attend meetups, webinars, or conferences related to data science and AI. This can help you gain insights into the industry and potentially connect you with someone who can refer you to our job openings.
✨Tip Number 3
Prepare to showcase your leadership skills. Think of specific examples where you've successfully managed teams or projects, especially in high-pressure situations. This will help you illustrate your ability to lead and mentor others effectively.
✨Tip Number 4
Brush up on your technical skills, particularly in Python, R, and SQL. Be ready to discuss your experience with cloud computing platforms like Azure or AWS, as well as any tools like Databricks that you've used. This will show that you're technically proficient and ready to hit the ground running.
We think you need these skills to ace Data Science Manager - UK Remote Working
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in managing and mentoring Data Scientists. Include specific examples of projects where you've led teams to deliver data science solutions, particularly those involving Python coding and cloud computing.
Craft a Compelling Cover Letter: In your cover letter, emphasise your leadership skills and ability to communicate with both technical and non-technical stakeholders. Mention your experience with advanced analytics and how you can contribute to the AI and Data Science programme.
Showcase Relevant Skills: Clearly list your technical skills, especially in Python, R, SQL, and cloud computing platforms like Azure or AWS. Provide examples of how you've applied these skills in previous roles to solve complex analytic problems.
Highlight Your Achievements: Include quantifiable achievements in your application, such as successful projects delivered, improvements in data quality, or innovations in data science methods that you've championed. This will demonstrate your impact in previous roles.
How to prepare for a job interview at Datatech
✨Showcase Your Leadership Skills
As a Data Science Manager, you'll need to demonstrate your ability to lead and mentor a team. Prepare examples of how you've successfully managed teams in the past, focusing on your mentoring style and how you foster collaboration.
✨Highlight Technical Proficiency
Make sure to discuss your experience with Python, R, SQL, and cloud computing platforms like Azure or AWS. Be ready to explain specific projects where you've applied these skills, especially in delivering data science solutions at scale.
✨Communicate Effectively
Since the role involves liaising with both technical and non-technical stakeholders, practice explaining complex data science concepts in simple terms. This will showcase your ability to tailor communication to different audiences.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities and how you handle competing demands. Think of scenarios where you've had to manage stakeholder expectations or resolve conflicts, and be ready to discuss your approach.
