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For Companies At a Glance
- Tasks: Lead Data Science projects, develop ML/AI models, and engage with clients.
- Company: Join a fast-growing data consultancy focused on culture and innovation.
- Benefits: Enjoy a competitive salary, hybrid work, 35 days holiday, and private medical care.
- Why this job: Make a real impact with high-profile clients while growing your career in a supportive environment.
- Qualifications: Experience in ML/AI solutions, strong communication skills, and mentoring abilities required.
- Other info: Opportunity to lead a team and work on cutting-edge projects.
The predicted salary is between 85000 - 100000 £ per year.
A rapidly growing software house in the heart of Manchester is seeking a Senior Data Scientist to spearhead innovation within their Data & Analytics function. If you\’re a seasoned data science professional looking for a role where you can have significant impact, mentor a developing team, and contribute to cutting-edge analytics solutions, this could be the perfect opportunity.
Role Overview
As a Senior Data Scientist, you\’ll be a pivotal member of a cross-functional team, leading the enhancement and development of state-of-the-art features for the platform. You\’ll be responsible for guiding the entire modelling lifecycle, from data preparation and analysis to the development of robust machine learning models and the creation of impactful, actionable visualisations. You\’ll also have the opportunity to shape the team\’s technical direction and mentor junior colleagues.
Key Responsibilities
- Architecting and overseeing data preparation, cleansing, and structuring processes for advanced model development.
- Leading investigations into patterns, trends, and anomalies within complex datasets, guiding the team to uncover key insights.
- Designing, building, and enhancing machine learning algorithms, providing technical leadership and guidance to junior data scientists.
- Communicating complex findings to both technical and non-technical audiences, presenting actionable recommendations with clarity and authority.
- Writing and optimising complex SQL queries for advanced data manipulation and retrieval, ensuring data integrity and efficiency.
- Collaborating with colleagues across the business to meet objectives, providing thought leadership and innovative approaches to problem-solving.
- Driving the research and development of innovative solutions, pushing the boundaries of what\’s possible with data science.
- Establishing and enforcing best practices for data science methodologies and documentation to facilitate team learning and knowledge sharing.
- Mentoring junior data scientists, fostering their professional development and technical expertise.
- Proactively developing new skills and staying abreast of cutting-edge methodologies in data science and analytics, sharing knowledge with the team.
Required Experience
- Bachelor\’s or Master\’s degree in Computer Science, Mathematics, Statistics, or a related field (PhD preferred).
- Deep understanding of probability, statistics, and linear algebra, with the ability to apply these concepts to real-world problems.
- Extensive proficiency in Python, including mastery of libraries like scikit-learn, pandas, seaborn, and matplotlib.
- Significant experience writing and optimising complex SQL queries for data retrieval and manipulation in large-scale databases.
- Strong experience of Azure Data Stack (Databricks/Data Factory)
- Exceptional ability to communicate complex insights effectively to stakeholders at all levels.
- A strong portfolio of Data Science projects demonstrating the ability to solve complex problems with innovative solutions.
- Demonstrated leadership experience within a data science team, mentoring junior colleagues and driving technical direction.
- Experience working with Agile methodologies in a collaborative team setting.
- Extensive experience with big data tools, such as Hadoop and Spark, for managing and processing large-scale datasets.
- Extensive experience with cloud platforms, particularly Microsoft Azure, for building and deploying data science solutions.
Why Join?
You\’ll be joining a super collaborative culture offering a great balance of impact, ownership, support, and coaching. You\’ll have a superb chance to contribute to cutting-edge projects and shape the future of the sector, whilst making a tangible impact on the development of a growing data science team.
Diversity & Inclusion
Mirai believes in the power of diversity and the importance of an inclusive culture. We welcome applications from individuals of all backgrounds, understanding that a range of perspectives strengthens both the team and partners\’ teams.
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Lead Data Scientist employer: Mirai Talent
Contact Detail:
Mirai Talent Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Scientist
✨Tip Number 1
Familiarise yourself with the latest trends in machine learning and AI, especially focusing on LLMs. Being able to discuss recent advancements or case studies during your interview will demonstrate your passion and expertise in the field.
✨Tip Number 2
Prepare to showcase your experience in client engagement and project management. Think of specific examples where you've led discovery phases or facilitated workshops, as this will highlight your consultative approach and leadership skills.
✨Tip Number 3
Brush up on your mentoring skills. Be ready to discuss how you've supported junior data scientists in the past, as this role involves managing a direct report and contributing to team growth.
✨Tip Number 4
Research the consultancy's culture and values. Understanding their focus on innovation and collaboration will help you align your responses during the interview, showing that you're a great fit for their team.
We think you need these skills to ace Lead Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in designing, developing, and deploying ML/AI solutions. Emphasise any relevant projects, particularly those involving LLMs and NLP, to align with the job requirements.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data science and your desire to contribute to a purpose-driven consultancy. Mention specific projects or experiences that demonstrate your ability to engage with clients and lead discovery phases.
Showcase Leadership Skills: If you have experience mentoring or managing junior data scientists, be sure to include this in your application. Highlight your leadership style and how you plan to support team growth in your new role.
Prepare for Technical Questions: Anticipate technical questions related to machine learning, NLP, and LLMs during the interview process. Be ready to discuss your previous work and how it relates to the projects mentioned in the job description.
How to prepare for a job interview at Mirai Talent
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with machine learning, NLP, and LLMs in detail. Bring examples of projects you've worked on, focusing on the challenges you faced and how you overcame them.
✨Demonstrate Client Engagement Skills
Since the role involves direct client interaction, practice articulating how you've successfully engaged with clients in the past. Highlight any workshops or discovery phases you've led and the outcomes of those interactions.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities in real-world scenarios. Think about how you would approach developing a specific ML/AI solution for a client and be ready to explain your thought process.
✨Emphasise Leadership and Mentoring Experience
As this role includes managing and mentoring a direct report, be ready to discuss your leadership style. Share examples of how you've supported junior data scientists and contributed to their professional growth.
