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- Tasks: Join a dynamic team to analyse data and provide insights for AI solutions.
- Company: A well-funded AI firm in Manchester, rapidly expanding with a strong leadership team.
- Benefits: Enjoy remote work options, unlimited holidays, and a strong share package.
- Why this job: Be part of a thriving start-up with unique growth opportunities and a collaborative culture.
- Qualifications: Experience in machine learning, Python, SQL, and data visualisation tools required.
- Other info: This role does not offer visa sponsorship.
The predicted salary is between 36000 - 52000 £ per year.
I'm working with a well-funded AI firm based within Manchester expanding their Data and AI division. The firm has been going for a few years and is run by really astute individuals who have successfully exited firms previously. Thanks to the success of their key AI solution, the firm have genuinely gone from strength to strength, growing to a team of 35+ and looking to increase by over 50% in the coming 18-24 months.
As part of this journey, they are now looking for a Data Scientist to join them in their Manchester offices once a week. They’re located close to Piccadilly, so ideal whether you’re based in the city centre or commuting in from nearby.
Within the role, you’ll be working within the delivery team, focusing on current deployments, drawing actionable insights from reports and quality assessments based on video analysis, and working closely with internal and external teams to make sure outputs are consistent, meet client needs, and help support business growth.
Key responsibilities:- Analyse current deployments and share key insights with stakeholders through reports and visualisations.
- Manage video analysis teams to ensure consistent, quality results that meet client reporting deadlines.
- Assess solution performance from video data, identify improvements, and support product updates.
- Collaborate with Data Engineers, Product, and Marketing teams to develop reports, capture requirements, and analyse market trends.
- Machine Learning techniques including classification (Random Forest, Decision Trees, regression etc).
- Python and SQL for data analysis and modelling.
- Microsoft Azure, Power BI, Excel, and PowerPoint for data visualisation and reporting.
- Experience developing dashboards, alerting systems, and production reporting schemas.
- Be part of a thriving, well-funded start up - more than typical routes for growth / progression.
- Remote working - 1 day a week in office.
- Strong Share / Stock package.
- Unlimited holidays.
Data Scientist (Manchester Area) employer: NearTech Search
Contact Detail:
NearTech Search Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist (Manchester Area)
✨Tip Number 1
Familiarise yourself with the specific machine learning techniques mentioned in the job description, such as Random Forest and Decision Trees. Being able to discuss these methods confidently during your interview will demonstrate your expertise and enthusiasm for the role.
✨Tip Number 2
Make sure you have a solid understanding of Python and SQL, as these are crucial for data analysis and modelling. Consider working on a small project or two that showcases your skills in these areas, which you can mention during your discussions with us.
✨Tip Number 3
Since the role involves collaboration with various teams, practice articulating how you've successfully worked in cross-functional teams in the past. Highlighting your teamwork skills will show that you're a good fit for our collaborative environment.
✨Tip Number 4
Research the company’s AI solutions and be prepared to discuss how your insights could contribute to their growth. Showing that you understand their business and can add value will set you apart from other candidates.
We think you need these skills to ace Data Scientist (Manchester Area)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data science, particularly with machine learning techniques and tools like Python and SQL. Emphasise any previous work with video analysis or collaboration with cross-functional teams.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for AI and data science. Mention specific projects or experiences that align with the responsibilities outlined in the job description, such as managing video analysis teams or developing dashboards.
Showcase Your Skills: In your application, clearly demonstrate your proficiency in Microsoft Azure, Power BI, and other relevant tools. Consider including examples of how you've used these technologies to drive insights or improve processes in past roles.
Highlight Your Teamwork Experience: Since the role involves collaboration with various teams, be sure to mention any experience you have working in team settings. Provide examples of how you've successfully communicated insights or worked towards common goals with others.
How to prepare for a job interview at NearTech Search
✨Showcase Your Technical Skills
Make sure to highlight your experience with machine learning techniques, Python, and SQL during the interview. Be prepared to discuss specific projects where you've applied these skills, as this will demonstrate your capability to handle the technical demands of the role.
✨Prepare for Scenario-Based Questions
Expect questions that assess how you would handle real-world data challenges. Think about past experiences where you've had to analyse data, draw insights, or manage a team. Use the STAR method (Situation, Task, Action, Result) to structure your responses effectively.
✨Understand the Company’s AI Solutions
Research the firm’s key AI solutions and be ready to discuss how your skills can contribute to their success. Understanding their products and market position will show your genuine interest in the company and help you align your answers with their goals.
✨Demonstrate Collaboration Skills
Since the role involves working closely with various teams, be prepared to share examples of how you've successfully collaborated in the past. Highlight your communication skills and ability to work in a team environment, as this is crucial for supporting business growth.
