Data Scientist

Data Scientist

Full-Time 28800 - 48000 £ / year (est.) Home office possible
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At a Glance

  • Tasks: Develop advanced analytics models and collaborate on innovative government projects.
  • Company: Join a forward-thinking team transforming public services through data science.
  • Benefits: Remote work, competitive salary, and opportunities for professional growth.
  • Why this job: Make a real impact on government operations with cutting-edge data solutions.
  • Qualifications: Degree in relevant field and proficiency in programming languages like Python or R.
  • Other info: Diverse and inclusive workplace with exciting career development opportunities.

The predicted salary is between 28800 - 48000 £ per year.

Location: Remote-working – Occasional visits to London office

Security Clearance: SC Cleared (or eligibility to obtain SC clearance)

Join an exciting new Automation and Innovation project within central Government as a Data Scientist. This role offers a unique opportunity to contribute to groundbreaking initiatives, leveraging data-driven insights to transform public services and policy-making processes.

As a Data Scientist in this innovative project, you will have the chance to apply your expertise to complex challenges, working on cutting-edge solutions that have the potential to revolutionise government operations.

Key Responsibilities
  • Develop and implement advanced analytics models and machine learning algorithms to support the Automation and Innovation initiative.
  • Collaborate with cross-functional teams to identify opportunities for data-driven automation and process improvement.
  • Design and maintain data pipelines to support ongoing analysis and model deployment.
  • Conduct exploratory data analysis to uncover insights and inform decision-making processes.
  • Create compelling data visualisations and reports to communicate findings to both technical and non-technical stakeholders.
  • Contribute to the development of data governance frameworks, ensuring ethical and secure handling of sensitive information.
  • Stay abreast of emerging technologies and methodologies in data science, proposing innovative applications within the government context.
  • Participate in shaping the direction of the Automation and Innovation project, with the potential to significantly impact government-wide digital transformation efforts.
  • Explore and implement novel data science techniques to address unique challenges in public sector automation.
  • Collaborate on inter-departmental projects, expanding the reach and impact of data-driven solutions across government functions.
Required Skills
  • Strong background in data science, with a degree in a relevant field such as Computer Science, Statistics, or Mathematics.
  • Proficiency in programming languages such as Python, R, or SQL, and experience with data science libraries and frameworks.
  • Expertise in statistical modeling, machine learning, and predictive analytics.
  • Familiarity with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Azure).
  • Excellent problem-solving skills and ability to translate complex data insights into actionable recommendations.
  • Strong communication skills, with the ability to explain technical concepts to non-technical audiences.
  • Experience working with large, complex datasets and a track record of delivering impactful data science projects.

If you are available and interested in this opportunity, please apply for further information. Please note due to high volumes of applications we are unable to contact every application. If you do not hear back from us within 7 days of sending your application, please assume that you have not been successful on this occasion.

At Lucid, we celebrate difference and value diverse perspectives, underpinned by our values ‘Honesty, Integrity and Pragmatism’. We are proud to provide equal opportunities in line with our Diversity and Inclusion policy and welcome applications from all suitably qualified or experienced people, regardless of personal characteristics. If you have a disability or health condition and seek support throughout the recruitment process, please do not hesitate to contact us via the details below.

Data Scientist employer: Lucid Support Services Ltd

At Lucid, we pride ourselves on being an exceptional employer, offering a dynamic remote-working environment that fosters innovation and collaboration. Our commitment to employee growth is evident through opportunities to work on transformative projects within central Government, where your contributions can lead to meaningful change in public services. With a strong focus on diversity and inclusion, we ensure that every team member feels valued and empowered to thrive in their career.
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Contact Detail:

Lucid Support Services Ltd Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Data Scientist

✨Tip Number 1

Network like a pro! Reach out to people in the industry, especially those already working in government projects. A friendly chat can lead to insider info and even referrals that could give you the edge.

✨Tip Number 2

Show off your skills! Create a portfolio showcasing your data science projects, especially those involving machine learning or big data. This will help you stand out and demonstrate your expertise in a tangible way.

✨Tip Number 3

Prepare for interviews by brushing up on your problem-solving skills. Be ready to tackle real-world scenarios and explain your thought process clearly. Practice makes perfect, so consider mock interviews with friends or mentors.

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search!

We think you need these skills to ace Data Scientist

Data Science
Machine Learning
Statistical Modelling
Predictive Analytics
Python
R
SQL
Data Visualisation
Big Data Technologies
Hadoop
Spark
Cloud Platforms
AWS
Azure
Problem-Solving Skills
Communication Skills

Some tips for your application 🫡

Tailor Your CV: Make sure your CV is tailored to the Data Scientist role. Highlight your relevant skills, experiences, and projects that align with the job description. We want to see how you can contribute to our Automation and Innovation project!

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data science and how your background makes you a perfect fit for this role. Let us know what excites you about transforming public services through data.

Showcase Your Technical Skills: Don’t forget to mention your proficiency in programming languages like Python or R, and any experience with machine learning or big data technologies. We’re looking for someone who can hit the ground running, so make those skills stand out!

Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re serious about joining our team at StudySmarter!

How to prepare for a job interview at Lucid Support Services Ltd

✨Know Your Data Science Stuff

Make sure you brush up on your data science fundamentals, especially in areas like machine learning and statistical modelling. Be ready to discuss specific projects you've worked on and the techniques you used, as this will show your practical experience.

✨Showcase Your Communication Skills

Since you'll be explaining complex data insights to non-technical stakeholders, practice how you can simplify technical jargon. Prepare examples of how you've successfully communicated findings in the past, as this will highlight your ability to bridge the gap between data and decision-making.

✨Familiarise Yourself with the Government Context

Research current trends in public sector automation and innovation. Understanding the unique challenges faced by government operations will help you tailor your responses and demonstrate your genuine interest in contributing to their initiatives.

✨Prepare for Technical Questions

Expect to face some technical questions or even a coding challenge during the interview. Brush up on your programming skills in Python, R, or SQL, and be ready to solve problems on the spot. Practising with sample datasets can help you feel more confident.

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