At a Glance
- Tasks: Lead a dynamic data science team to drive impactful analytics and improve outcomes for society.
- Company: DWP Digital, a forward-thinking organisation dedicated to making a difference.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Other info: Join a diverse community with excellent career progression opportunities.
- Why this job: Make a real impact using data and technology to solve societal challenges.
- Qualifications: Experience in data science, leadership skills, and a passion for analytics.
The predicted salary is between 60000 - 75000 £ per year.
Are you looking for a uniquely inspiring and fulfilling career opportunity where your work will be making a genuine difference to society? Are you someone who is skilled in harnessing the power of data and using advanced analytics to improve outcomes? Would you love the opportunity to use data and technology at scale and in innovative ways to solve problems? Sounds like you? We'd love to hear from you!
DWP Digital offers uniquely inspiring and fulfilling career opportunities for people passionate about making a genuine difference to society. As the Lead Data Scientist for Working Age Services, you will be responsible for steering a high performing analytical team that supports the Programme to improve outcomes for claimants and agents by using data science to support the design, delivery and evaluation of Working Age digital Services.
In addition, together with the Working Age Services Data Lead and Delivery Lead, you will be working closely with the cross-disciplinary development teams in the Working Age Services to understand their data needs, ensuring these are met through close engagement with the platform team within Data and Analytics.
As a Lead Data Scientist, you will:
- Lead and develop a data science & analysis team that uses the latest tools and techniques to provide the everyday analytics, insights and evidence needed to help the development of the Working Age Services.
- Take responsibility for the quality of analytics processes, evaluation methods, reporting frameworks and machine learning capabilities that deliver critical business insights and improve outcomes for citizens and DWP staff.
- Advocate for and enact the DWP Data Strategy, DWP AI strategy and Business strategy, ensuring team data initiatives receive adequate support & guidance from the central functions.
- Nurture strong relationships with senior stakeholders and digital teams to influence the measurement frameworks, data quality and performance culture in the Working Age Services.
- Provide the appropriate safeguards to ensure all work adheres to key privacy, security and data protection regulations and set procedures for ethical considerations such as unintended biases.
- Play a key role in an inclusive and diverse community, defining recruitment strategies and career progression as well as contributing to Digital Practices in DWP overall.
Please note: As part of the role, you may be required to travel to the other digital hubs. The frequency of this will be discussed further should you be successful.
Disability Confident. A Disability Confident employer will generally offer an interview to any applicant that declares they have a disability and meets the minimum criteria for the job as defined by the employer. It is important to note that in certain recruitment situations such as high-volume, seasonal and high-peak times, the employer may wish to limit the overall numbers of interviews offered to both disabled people and non-disabled people.
Lead Data Scientist in Manchester employer: Sivara GmbH
DWP Digital is an exceptional employer that champions a culture of innovation and inclusivity, making a tangible impact on society through data-driven solutions. As a Lead Data Scientist, you will thrive in a supportive environment that prioritises employee growth, offering opportunities to lead a talented team while collaborating with cross-disciplinary experts. With a commitment to ethical practices and a focus on improving outcomes for citizens, DWP Digital provides a fulfilling career path in a dynamic and meaningful setting.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Data Scientist in Manchester
✨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 Sivara GmbH!
✨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 Lead Data Scientist at Sivara GmbH.
✨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 Sivara GmbH.
✨Apply Directly through Our Website
When you find a suitable opening like Lead Data Scientist at Sivara GmbH, 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 Lead Data Scientist in Manchester
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 Sivara GmbH, 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 Sivara GmbH. 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 Sivara GmbH
✨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 Sivara GmbH!
✨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.
