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Lead Data Scientist

Mirai Talent

Greater Manchester

Hybrid

GBP 85,000 - 100,000

Full time

2 days ago
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Job summary

A growing data consultancy in Greater Manchester is seeking a Lead Data Scientist to drive innovative AI/ML solutions. This role involves engaging with clients, developing models, and mentoring a team in a hybrid work environment. Competitive salary and benefits are offered.

Benefits

35 days holiday + bank holidays
Private medical and dental
Supportive and collaborative culture

Qualifications

  • Proven experience in designing, developing, and deploying ML/AI solutions.
  • Experience in mentoring or managing junior data scientists.

Responsibilities

  • Engaging directly with clients to deliver high-impact Data Science solutions.
  • Leading discovery phases and delivering strategy documents.
  • Overseeing end-to-end lifecycle of AI/ML model development.

Skills

Machine Learning
NLP
Leadership
Communication

Job description

1 week ago Be among the first 25 applicants

Direct message the job poster from Mirai Talent

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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