Senior Data Scientist
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What you'll do
- 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.
What they're looking for
- 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.
Summarised by NextRaise from the employer’s description, which follows in full below.
Full description from employer
About Us:
Solirius Reply, part of the Reply Group, is a technology consultancy and digital transformation partner that helps organisations solve complex challenges through strategy, design, engineering, and delivery.
We work closely with our clients to deliver secure, accessible, user-focused services that evolve with their needs. By combining deep technical expertise with people-centred design, we create solutions that deliver meaningful, lasting impact.
Our consultants partner directly with client teams, embedding into organisations to understand their goals, challenges, and users. This collaborative approach enables us to deliver tailored solutions that drive measurable outcomes across public and private sectors.
Past and present clients include the Ministry of Justice, Department for Education, Ministry of Housing, Communities and Local Government, UEFA, International Olympic Committee, and Mercedes-Benz. Our services span the full digital delivery lifecycle, including architecture, engineering, delivery management, user-centred design, business analysis, data, DevOps, and AI.
We operate as a collaborative and inclusive organisation that empowers our people to take ownership, innovate, and develop their expertise. As an equal opportunities employer, we are committed to encouraging equality, diversity, and social mobility, while creating opportunities for our teams to work on meaningful projects that deliver lasting impact.
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.
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)
- Contributory Pension
- EAP with Help@Hand
- Gym Membership Benefits
- Flexible Benefits Allowance
- Cycle to Work and Electric Vehicle schemes
- Flexible Working
- Annual Away Days/Company Socials
Diversity and Inclusion
As an equal opportunities employer, we are committed to creating a work environment that supports, celebrates, encourages and respects all individuals, where all processes are based on merit, competence and business needs.
Encouraging high social mobility is really important to us. We foster an inclusive culture by welcoming different perspectives, enabling equitable opportunities and promoting open dialogue. This commitment is reflected in initiatives such as our gender diversity group and our focus on mental health and wellbeing. Whatever stage you are at, you will find an environment where you can thrive.
Should you require further assistance or require any reasonable adjustments to be put in place to better support your application process, please do not hesitate to raise this with us.
As a Disability Confident employer, we are committed to ensuring our recruitment process is accessible and inclusive, enabling all candidates to demonstrate their skills, experience and potential.
Company
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