At a Glance
- Tasks: Lead a team of data scientists to analyse and interpret complex data sets.
- Company: Join a forward-thinking company that values innovation and data-driven decisions.
- Benefits: Enjoy remote work flexibility, competitive salary, and a home working allowance.
- Other info: Occasional office travel may be needed; exceptional candidates can earn more.
- Why this job: Be part of a dynamic culture that encourages growth and impactful projects.
- Qualifications: Experience in data science and leadership is essential; UK working rights required.
The predicted salary is between 39600 - 60000 £ per year.
Remote Working - UK Home-based, occasional travel into the office
Negotiable to £66,197 (National) or Negotiable to £71,869 (London within the M25)
Plus £7000 for exceptional candidates + home working allowance of £581 per annum
Job Ref: J12946
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 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 demonstratable experience of Python coding, clouding 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 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 - 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!
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. For more information visit our website:
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Data Science Manager - UK Remote Working employer: Datatech Analytics
As a Data Science Manager at our company, you will thrive in a supportive and innovative work culture that prioritises employee growth and development. With competitive salaries, a generous home working allowance, and the flexibility of remote working, we empower our team to achieve a healthy work-life balance while contributing to impactful projects. Join us and be part of a forward-thinking organisation that values your expertise and offers exceptional opportunities for career advancement.
StudySmarter Expert Advice🤫
We think this is how you could land Data Science Manager - UK Remote Working
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Datatech Analytics!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Science Manager - UK Remote Working at Datatech Analytics.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Datatech Analytics.
✨Apply Directly through Our Website
When you find a suitable opening like Data Science Manager - UK Remote Working at Datatech Analytics, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Science Manager - UK Remote Working
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Datatech Analytics, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Datatech Analytics. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Datatech Analytics
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Datatech Analytics!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
