Lead Data Scientist

Mirai Talent; Greater Manchester; Hybrid; GBP 85,000 - 100,000; Full time

Job summary

A growing data consultancy is seeking a Lead Data Scientist in Greater Manchester. This role involves owning Data Science solutions with a focus on ML/AI projects and requires strong client engagement, technical expertise in machine learning, and leadership capabilities. The consultancy offers a hybrid work model, competitive salary, and opportunities to work on impactful projects.

Benefits

35 days holiday + bank holidays

Private medical and dental

Collaborative culture with focus on innovation

Qualifications

• Proven experience in designing, developing, and deploying ML/AI solutions.
• Strong technical expertise in machine learning, NLP, and LLMs.
• Experience in mentoring or managing junior data scientists.

Responsibilities

• Deliver high-impact Data Science solutions from day one.
• Design, develop, and deploy ML/AI models.
• Oversee the full end-to-end lifecycle of AI/ML model development.

Skills

Machine Learning

Natural Language Processing

Large Language Models

Client Engagement

Communication Skills

Job description

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Lead Data Scientist | Growing Data Consultancy | £85-100k | Greater Manchester (Hybrid)

Are you a passionate Data Scientist looking to take the next step in your career? Do you want to play a pivotal role in a growing, purpose-driven consultancy that places culture at the heart of everything they do? If so, this opportunity could be for you.

The Role

We are working with an ambitious and fast-growing data consultancy seeking a Lead Data Scientist to join their team. Reporting directly to the Founder, you will take full ownership of the Data Science solutions offering, with a strong focus on LLMs and cutting-edge AI/ML solutions.

What You’ll Be Doing

• Engaging directly with clients across a diverse portfolio, delivering high-impact Data Science solutions from day one.
• Taking a hands-on approach to designing, developing, and deploying ML/AI models.
• Supporting business development by identifying ML/AI opportunities with clients and participating in prospecting calls.
• Leading discovery phases, facilitating workshops, gathering requirements, and delivering strategy documents.
• Overseeing the full end-to-end lifecycle of AI/ML model development, from concept to deployment and adoption.
• Training and handing over solutions to client stakeholders for seamless integration.
• Managing and mentoring one direct report, with plans for team growth in the future.
• Driving further analytical projects and securing additional work during project delivery.

Projects You Could Work On:

• Predictive Customer Engagement: Developing ML models to forecast customer engagement likelihood following operational actions in financial services.
• LLM-Powered Recommendations: Deploying LLM solutions to optimize resolution time for an IT managed service provider.
• Optimised Forecasting & Planning: Building an AI-driven forecasting solution for a food manufacturer to enhance production accuracy and profitability.

What We’re Looking For:

• Proven experience in designing, developing, and deploying ML/AI solutions.
• Strong technical expertise in machine learning, NLP, and LLMs.
• Ability to engage with clients and lead discovery phases.
• Experience in mentoring or managing junior data scientists.
• Excellent communication skills and a consultative approach.

What’s On Offer:

• £85,000 – £100,000 salary depending on experience.
• Hybrid working model (Greater Manchester-based office).
• 35 days holiday + bank holidays.
• Private medical and dental.
• Opportunity to work on high-impact projects with an impressive client base.
• A supportive and collaborative culture with a focus on innovation and growth.

If you’re excited about the prospect of joining a growing consultancy and making a real impact, get in touch now!

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology

• Industries

  Business Consulting and Services and Data Infrastructure and Analytics

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