Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Analyze complex datasets and develop predictive models to drive business growth.
- Company: Join CTRL TASQ LTD, a forward-thinking company leveraging data for innovation.
- Benefits: Enjoy hybrid work, flexitime, private medical insurance, and a health & wellbeing program.
- Why this job: Be part of a dynamic team using AI and machine learning to make impactful decisions.
- Qualifications: Proven experience in data science, proficiency in Python/R, and familiarity with big data tools.
- Other info: Opportunity for mentorship and professional growth in a collaborative environment.
The predicted salary is between 43200 - 72000 £ per year.
We are seeking a highly skilled Data Scientist to join our dynamic team. The ideal candidate will possess a strong background in data analysis and machine learning, with the ability to leverage large datasets to derive actionable insights. You will play a pivotal role in developing innovative solutions using advanced analytical techniques, including AI and natural language processing, to enhance our decision-making processes and drive business growth., * Analyse complex datasets to identify trends, patterns, and correlations that inform strategic decisions.
-
Develop predictive models using machine learning algorithms to forecast outcomes and improve operational efficiency.
-
Utilise big data technologies such as Spark and AWS to manage and process large volumes of data effectively.
-
Conduct data mining activities to extract valuable information from structured and unstructured data sources.
-
Collaborate with cross-functional teams to define data requirements and ensure alignment with business objectives.
-
Implement natural language processing techniques to enhance data interpretation and user experience.
-
Present findings and recommendations clearly to stakeholders through visualisations and reports.
-
Stay updated on industry trends and advancements in data science methodologies.
-
Proven experience as a Data Scientist or in a similar analytical role, with a strong portfolio of completed projects.
-
Proficiency in programming languages such as Python and R for data analysis and model development.
-
Familiarity with big data frameworks and tools, particularly Spark, for handling large datasets.
-
Experience with AI applications and machine learning techniques is essential.
-
Strong understanding of data mining principles and practices.
-
Knowledge of natural language processing is advantageous.
-
Excellent problem-solving skills with the ability to work independently or as part of a team.
-
Strong communication skills, capable of conveying complex technical concepts to non-technical stakeholders.
Join us in harnessing the power of data to drive innovation and achieve excellence!
-
Company pension
-
Cycle to work scheme
-
Employee mentoring programme
-
Flexitime
-
Health & wellbeing programme
-
Private medical insurance
-
Work from home
CTRL TASQ LTD
Southwell Road West, Mansfield NG21 0HJ
Hybrid work
Full-time
Data Scientist employer: CTRL TASQ LTD
Contact Detail:
CTRL TASQ LTD Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist
✨Tip Number 1
Familiarize yourself with the specific tools and technologies mentioned in the job description, such as Spark and AWS. Having hands-on experience or projects that showcase your skills with these platforms can set you apart from other candidates.
✨Tip Number 2
Highlight any relevant projects in your portfolio that demonstrate your ability to analyze complex datasets and develop predictive models. Be prepared to discuss the methodologies you used and the impact of your findings on business decisions.
✨Tip Number 3
Stay updated on the latest trends in data science, particularly in AI and natural language processing. Being able to discuss recent advancements or case studies during your interview can show your passion and commitment to the field.
✨Tip Number 4
Practice explaining complex technical concepts in simple terms. Since strong communication skills are emphasized, being able to convey your insights clearly to non-technical stakeholders will be crucial in your role.
We think you need these skills to ace Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data analysis, machine learning, and any relevant projects. Use specific examples that demonstrate your ability to leverage large datasets and develop predictive models.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data science and how your skills align with the company's goals. Mention your familiarity with big data technologies like Spark and AWS, and your experience with AI applications.
Showcase Your Projects: Include a portfolio of completed projects that showcases your proficiency in programming languages such as Python and R. Highlight any work involving natural language processing or data mining activities.
Prepare for Technical Questions: Be ready to discuss your technical skills and problem-solving abilities during the interview. Prepare to explain complex concepts in a way that non-technical stakeholders can understand, as communication is key in this role.
How to prepare for a job interview at CTRL TASQ LTD
✨Showcase Your Projects
Be prepared to discuss your previous projects in detail. Highlight how you used data analysis and machine learning to solve real-world problems, and be ready to explain the methodologies and tools you employed.
✨Demonstrate Technical Proficiency
Make sure to brush up on your programming skills, especially in Python and R. Be ready to answer technical questions or even solve coding challenges during the interview to showcase your expertise.
✨Understand Big Data Technologies
Familiarize yourself with big data frameworks like Spark and AWS. Be prepared to discuss how you've utilized these technologies in past roles to manage and process large datasets effectively.
✨Communicate Clearly
Practice explaining complex data concepts in simple terms. Since you'll need to present findings to non-technical stakeholders, being able to convey your insights clearly is crucial for success.
