Senior Data Scientist

Our client is a digital and technology consultancy.

About Us:

Our client, part of our client, delivers technical consultancy and application delivery to our clients in order to solve real world problems and allow our clients to respond to an ever-changing technical landscape. We partner closely with our clients, embedding our consultants into their businesses in order to provide a bespoke service, allowing us to truly understand our clients' needs.

It is this close collaboration with our clients that has enabled us to grow rapidly in recent years and will drive our ambitious future growth plans. We currently have over 300 consultants working with a variety of key clients from both the public and private sectors such as the Ministry of Justice, Department for Education, FCDOS, UEFA, International Olympic Committee and Mercedes Benz; with plans to increase our client base further in the near future.

We operate as a flat organisation and believe in trusting and supporting our team to operate independently. We pride ourselves on being specialists at what we do, making the most of our consultants' expertise in their fields in order to provide a best-in-class service to our clients. All our consultants have the opportunity to work on a range of different projects, providing a broad range of knowledge on which to develop their careers and progress in the direction they choose.

About You:

You are a motivated and adaptable professional with a strong analytical mindset and a passion for using technology to solve real-world problems. You enjoy working in collaborative, agile teams and take pride in delivering high-quality solutions that make a tangible impact. With strong communication skills and a consultative approach, you're comfortable engaging with clients, understanding their needs, and translating them into effective outcomes. You understand and align with our Values

Requirements

The Role:

We are seeking an AI Data Scientist to help build intelligent, data-driven products. You will design, develop, and deploy machine learning models, working across data engineering and analytics to solve complex business problems. You'll collaborate with product, engineering, and business teams to transform data into actionable insights and high-impact AI solutions.

Key Responsibilities:

• Design, develop, and deploy machine learning and AI models (e.g., predictive models, NLP, computer vision, recommender systems).
• Explore, cleanse, and transform large structured and unstructured datasets
• Conduct statistical analysis, experiment design, feature engineering, and model evaluation.
• Build scalable data pipelines and automate model training and inference processes.
• Collaborate with engineering teams to integrate models into production systems.
• Monitor model performance, detect drift, and implement continuous improvement strategies.
• Communicate complex findings clearly to both technical and non-technical stakeholders.
• Stay current with advancements in AI/ML (LLMs, generative AI, reinforcement learning) and evaluate their potential impact on products.

Key Skills & Experience:

• Experience in machine learning, data science, or applied AI roles.
• Proficiency in Python and ML libraries (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch).
• Strong understanding of statistics, ML algorithms, and model evaluation techniques.
• Experience working with cloud platforms (AWS, Azure, or GCP) and ML pipelines.
• Ability to analyse large datasets and communicate insights effectively.
• Experience with LLMs, generative AI, and prompt engineering.

• Knowledge of MLOps tools and frameworks (MLflow, Kubeflow, Airflow).
• Familiarity with SQL, NoSQL, and distributed data technologies.
• Experience deploying AI models in production environments.
• Publications, patents, or open-source contributions in ML/AI.

Benefits

What We Offer:

• Competitive Salary
• Bonus Scheme
• Private Healthcare Insurance
• 25 Days Annual Leave + Bank Holidays
• Up to 10 days allocated for development training per year
• Enhanced Parental Leave
• Paid Fertility Leave (5 Days)
• Statutory & Contributory Pension
• EAP with Help@Hand
• Gym Membership Benefits
• Flexible Working
• Annual Away Days/Company Socials

Equality & Diversity:

Our client is an equal opportunities employer. We are committed to creating a work environment that supports, celebrates, encourages, and respects all individuals and in which all processes are based on merit, competence and business needs. We do not discriminate on the basis of race, religion, gender, sexuality, age, disability, ethnicity, marital status or any other protected characteristics.

Should you require further assistance or require any reasonable adjustments be put in place to better support your application process, please do not hesitate to raise this with us.