
Lead Data Scientist
Remote
United Kingdom
£ 80,000 / year
Full Time
04-04-2025
Job Specifications
Lead Data Scientist | Advanced Process Modelling | Pharma/Biotech
Salary: Up to £80,000
Technology: Python, MATLAB, MVA, SIMCA
Location: Hybrid, London (Flexible)
We’re partnering with an innovative and fast-scaling company that’s transforming how pharmaceutical and biotech organisations optimise their manufacturing processes. They combine cutting-edge data science with deep domain expertise to deliver model-driven solutions that enhance product quality, reduce batch failures, and improve operational efficiency. As demand for their expertise grows, they're expanding their global team to take on some of the industry’s most complex and high-impact challenges.
They are looking for a Lead Data Scientist who sits at the intersection of advanced analytics, strategic project execution, and pharmaceutical process knowledge. You’ll be responsible for guiding client engagements, leading multi-regional teams, and developing innovative solutions that directly impact drug manufacturing outcomes on a global scale.
Key Responsibilities
Lead and deliver global data science projects in pharma manufacturing.
Manage timelines, risks, and client communications.
Design ML models for process monitoring and predictive analytics.
Integrate ML to boost efficiency and reduce batch loss.
Build mechanistic, hybrid, and data-driven models for optimisation.
Ensure regulatory compliance and deploy models using SIMCA.
Mentor data scientists and support knowledge sharing.
Produce clear documentation and client-facing reports.
Required Experience
5+ years in data science, with expertise in process monitoring and control.
Proven track record managing global, cross-functional projects.
Experience with OSI-PI, SAP, MES, or similar systems (preferred).
Strong background in ML for process monitoring and anomaly detection.
Skilled in MVA and tools like SIMCA, plus Python and/or MATLAB.
Able to integrate diverse data sources into analytical workflows.
Strong leadership and client-facing communication skills.
Highly organised, with a results-driven, problem-solving mindset.
This is a unique opportunity to take on a technical leadership position at the forefront of data-driven manufacturing in the life sciences sector. You’ll play a key role in delivering impactful global projects, shaping the future of advanced analytics in pharma and biotech. The role offers a flexible, remote-first work environment with strong support for professional growth and development.
** Unfortunately due to a high number of applications, not all applicants will receive feedback
About the Company
Welcome to technology recruitment for the Modern Age. Welcome to Formula. We offer a flexible recruitment approach because we understand that agility is a key part of your successful recruitment strategy. Whether you need to grow your permanent head-count or you want to engage contractors via our Talent Hub, we can help. With packages tailored from a unique set of capabilities and backed by industry-specific experience. You can stop worrying about attracting quality candidates, being left in the dark, or the way in which... Know more
Related Jobs


- Company Name
- Digital Waffle
- Job Title
- Data Engineer (Data Factory)
- Job Description
- Data Engineer (Azure Data Factory) Location: Fully Remote or Hybrid / Edinburgh Salary: £38,000 - £44,000 An award-winning enterprise software scale-up with high ambitions for growth is on the lookout for another Data Engineer to join the team. They recently won the ScotlandIS Digital Tech Scale-up Business of the Year award and have also previously been recognised as Scotland’s fastest-growing tech company in the Deloitte Technology Fast 50 for three consecutive years. What you’ll do: Implement, test and deploy Azure Data Factory (ADF) pipeline definitions within version control to customer environments. Work with our Site Reliability Engineering team to ensure your solutions are observable, reliable and performant. Work with our software implementation consultants (SICs) to define and verify specification documents for ETL process. Work with customer IT to test customer data source endpoints to ensure they meet specification. Work with our Engineering teams to ensure end-to-end capability for integrated data. Support cutover to production systems (can be outside normal working hours). Identify improvements to existing Azure Data Factory processes to ensure they are more maintainable across a growing set of customers. About you You must have at least two years of experience in Azure Data Factory and be comfortable building transparent, easy-to-support pipelines. Experience building and maintaining data integrations with a variety of external systems. Good understanding of the ETL process. Comfortable being in a client-facing role. Excellent communication skills: you can clearly explain technical matters to any audience. Confident working with complex referential data. Knowledge of Rest APIs, SQL databases and other data sources. A team player, with experience collaborating with other departments. You demonstrate good attention to detail and enjoy breaking complex problems down into simple steps. Applying for the opportunity If you feel you have the required experience and would like to be considered for the opportunity, please forward an up-to-date version of your CV, and someone will contact you back within 48 hours if we feel you meet the requirements of the role.


- Company Name
- Methods
- Job Title
- Data Engineer
- Job Description
- Methods Analytics (MA) is recruiting for a Data Engineer to join our team on a permanent basis. This role will be mainly remote but require flexibility to travel to client sites, and our offices based in London, Sheffield, and Bristol. What You'll Be Doing as a Data Engineer: Work closely with cross-functional teams, translating complex technical concepts into clear, accessible language for non-technical audiences Collaborate with a dynamic delivery team on innovative projects, transforming raw data into powerful insights Design and implement efficient ETL and ELT pipelines using modern tools such as Python, SQL, and Apache Airflow Build scalable data solutions leveraging cloud platforms and technologies Develop and maintain sophisticated data models, employing dimensional modelling techniques to support comprehensive data analysis and reporting Implement best practices in data governance, security, and compliance to maintain data integrity Ensure data quality through rigorous QA processes, continuously refining and optimising data queries Develop intuitive dashboards that provide actionable insights to stakeholders Monitor and tune solution performance to enhance reliability, speed, and functionality of data systems Stay ahead of industry trends, continuously enhancing your skills with the latest data engineering tools and methodologies Contribute to the development of the Methods Analytics Engineering Practice by participating in our internal community of practice Your Impact: Enable business leaders to make informed decisions with confidence through timely, accurate data insights Drive adoption of modern data architectures and platforms Deliver seamless data solutions that enhance user experience Help cultivate a data-driven culture within the organisation Requirements You Will Demonstrate: Strong proficiency in SQL and Python for handling complex data problems Experience building and optimising ETL/ELT pipelines Hands-on experience with Apache Spark (PySpark or Spark SQL) Experience with the Azure data stack Knowledge of workflow orchestration tools like Apache Airflow Experience with containerisation technologies (Docker) Ability to craft efficient and performant queries Proficiency in dimensional modelling techniques Experience with CI/CD pipelines for data solutions Familiarity with test-driven development principles applied to data pipeline construction and validation Strong communication skills for translating technical concepts to non-technical audiences Business requirements analysis and translation into technical specifications You may also have some of the desirable skills and experience: Experience with data visualisation tools like Power BI or Apache Superset Experience with other cloud data platforms like AWS, GCP or Oracle Experience with modern unified data platforms like Databricks or Microsoft Fabric Familiarity with modern data lakehouse architectures Knowledge of legacy ETL tools like SSIS Experience with Kubernetes for container orchestration Understanding of streaming technologies (Apache Kafka, event-based architectures) Software engineering background with SOLID principles understanding Experience with data governance tools Experience with high-performance, large-scale data systems Familiarity with Agile development methodologies Knowledge of recent innovations in AI/ML and GenAI Defence or Public Sector experience Consultant experience Security Clearance: UKSV (United Kingdom Security Vetting) clearance is required for this role, with Security Check (SC) as the minimum standard, either already held or with a willingness to undergo the process. Some roles/projects may require Developed Vetting (DV) clearance; while not mandatory, a willingness to obtain DV clearance would be beneficial. As part of the onboarding process candidates will be asked to complete a Baseline Personnel Security Standard (BPSS); details of the evidence required to apply may be found on the government website GOV.UK - Government baseline personnel security standard. If you are unable to meet this and any associated criteria, then your employment may be delayed, or rejected. Details of this will be discussed with you at interview. Our Hiring Process At Methods Analytics, we believe in a transparent hiring process. Here's what you can expect: Internal Application Review Initial Phone Screen Technical Interview Collaborative Pair Programming Exercise Final Interview Offer Benefits Methods Analytics (MA) exists to improve society by helping people make better decisions with data. Combining passionate people, sector-specific insight, and technical excellence to provide our customers an end-to-end data service. We use a collaborative, creative and user centric approach to data to do good and solve difficult problems. Ensuring that our outputs are transparent, robust, and transformative. We value discussion and debate as part of our approach. We will question assumptions, ambition, and process - but do so with respect and humility. We relish difficult problems, and overcome them with innovation, creativity, and technical freedom to help us design optimum solutions. Ethics, privacy, and quality are at the heart of our work, and we will not sacrifice these for outcomes. We treat data with respect and use it only for the right purpose. Our people are positive, dedicated, and relentless. Data is a vast topic, but we strive for interactions that are engaging, informative and fun in equal measure. But maintain a steely focus on outcomes and delivering quality products for our customers. We are passionate about our people; we want out colleagues to develop the things they are good at and enjoy. By joining us you can expect Autonomy to develop and grow your skills and experience Be part of exciting project work that is making a difference in society Strong, inspiring, and thought-provoking leadership A supportive and collaborative environment As well as this, we offer: Development access to Pluralsight and LinkedIn Learning Wellness 24/7 Confidential employee assistance programme Social - office parties, pizza Friday and commitment to charitable causes Time off - 25 days of annual leave a year, plus bank holidays, with the option to buy 5 extra days each year Volunteering - 2 paid days per year to volunteer in our local communities or within a charity organisation Pension Salary Exchange Scheme with 4% employer contribution and 5% employee contribution Discretionary Company Bonus based on company and individual performance Life Assurance of 4 times base salary Private Medical Insurance which is non-contributory (spouse and dependants included) Worldwide Travel Insurance which is non-contributory (spouse and dependants included)


- Company Name
- Beiersdorf
- Job Title
- Data Analyst
- Job Description
- Your Tasks Data Collection and Cleaning: Gather data from various sources, ensuring it is accurate, complete, and formatted correctly for analysis. Data Analysis: Conduct preliminary analyses to identify trends, patterns, and anomalies in demand data, providing insights that support demand forecasting. Reporting: Create and maintain regular reports and dashboards that summarize key metrics and findings for the Demand Planning team and other stakeholders. Collaboration: Work closely with team members to understand their data needs and provide analytical support for ongoing projects and initiatives. Forecasting Support: Assist in the development of demand forecasts by analysing historical data and market trends, contributing to more accurate planning. Process Improvement: Identify opportunities for improving data collection and analysis processes, helping to streamline workflows and enhance efficiency. Documentation: Maintain clear documentation of data sources, methodologies, and analytical processes to ensure transparency and reproducibility. Ad-hoc Analysis: Respond to ad-hoc data requests from team members and stakeholders, providing timely and relevant insights as needed. Learning and Development: Continuously develop your analytical skills and knowledge of demand planning processes, tools, and best practices. Stakeholder Communication: Communicate findings and insights effectively to team members and other departments, ensuring that data-driven decisions are well-informed. Your Profile Proficiency in data analysis tools and software such as Excel, SQL, or Python/R for data manipulation and analysis. Familiarity with data visualization tools (e.g., Tableau, Power BI) to create reports and dashboards. Basic understanding of statistical concepts and methods used in data analysis and forecasting. Ability to analyse complex data sets, identify trends, and draw meaningful conclusions. Strong attention to detail to ensure data accuracy and integrity in analyses and reports. Ability to communicate findings clearly and concisely to both technical and non-technical stakeholders. Strong interpersonal skills to work effectively within a team and collaborate with various departments. A proactive mindset to identify issues and propose data-driven solutions to improve demand planning processes. Ability to manage multiple tasks and prioritize effectively in a fast-paced environment. Strong organizational skills to maintain clear documentation of data sources, methodologies, and processes. Preferred Experience in FMCG 1 year+ in a Supply Chain or Sales role (preferably in a similar role) At Beiersdorf, we want to help people feel good about their skin – and our commitment goes far beyond caring for skin. For 140 years, we have developed innovative skin and body care products for well-known brands such as NIVEA, Eucerin and Elastoplast. The Data Analyst role is a support role to our Demand Planning team, you will support the analysis and interpretation of data to help forecast demand and improve inventory management. Your primary responsibility will be to assist in gathering, cleaning, and analysing data from various sources, ensuring accuracy and relevance. You will collaborate with team members to identify trends and patterns that inform our demand planning processes. This role offers an excellent opportunity to develop your analytical skills and gain hands-on experience in data analysis, contributing to the overall efficiency and effectiveness of our supply chain operations. This is a 6 month Fixed Term Contract Additional Information We offer a competitive salary along with an annual bonus (subject to conditions). Other benefits include:- Defined contribution Pension, Private medical & dental insurance, Discounts on products. We embrace Diversity and Inclusion and are committed to providing equal opportunities to all of our applicants – regardless of race, gender, age, religion and beliefs, sexual orientation & gender identity, disability, cultural, ethnic or national origins.


- Company Name
- Goodnotes
- Job Title
- AI Engineering Manager
- Job Description
- At Goodnotes, we believe that every individual holds untapped potential waiting to be unleashed. By reimagining the way we interact with information, we're merging human creativity with the breakthrough capabilities of AI. Our renewed vision and mission drive us to create the best medium for human and AI collaboration, empowering users to explore new dimensions of productivity, creativity, and learning. Join us on this journey as we transform digital note-taking into an inspiring and innovative experience. Our Values: Dream big —Be visionary, strategic, and open to innovation Build great things —Work in service of our users, always improving and pushing higher Operate like an owner —Take responsibility with bold decision-making and bias for action Win like a sports team —Be trusting and collaborative while empowering others Learn and grow fast —Never stop learning and iterate fast Share our passion —Share ideas and practice enthusiasm and joy Be user obsessed —Empathetic, inquisitive, practical About the team: AI team in Goodnotes is on a mission to transform education and productivity by building the world's best human-AI co-editing experience with cutting edge foundation models. Our existing AI products already help millions of students and teachers 10x their efficiency. These include the world's best in-document conversational UI, AI Tutor, Classroom AI, and specialized handwriting recognition and synthesis models. Leveraging this technological foundation, we are now in the position to reimagine productivity and knowledge work with freeform AI for professionals at large. You will join a distributed team across Europe and Asia focusing specifically on building AI capabilities within Goodnotes. You will manage a team of Machine Learning, Full-Stack and iOS engineers, and work alongside other Engineering Managers, as well as Backend Engineers, PMs, QAs and designers to build and improve our new suite of AI features. Type of AI technologies we are developing include multimodal LLM agents, retrieval-augmented generation systems, math solvers, Meeting Assistant, handwriting recognition, AI coediting on structured and freeform formats, etc. About the role: We are seeking an experienced and passionate AI Engineering Manager to lead the team in developing our AI capabilities. This person will be managing a team of ML, Full-Stack and iOS engineers. This person is expected to contribute solid technical leadership and vision while raising the bar in people and project management. This is the role for you, if you're excited to work on the things listed below: End-to-end ownership of an AI project leveraging state-of-the-art AI technologies including multi-modal LLM agents and document understanding Leading a highly driven, multi-disciplinary team, comprised mostly of ML and Frontend engineers Tackle some of the most challenging problems in multimodal LLM agents head-on, including spatial reasoning, agentic reasoning frameworks, and scalable tool calling Work closely with the with Head of AI Engineering to define and execute engineering strategies, aligned with the company's goals Ensure timely delivery of high-quality work by the team, while maintaining a positive work culture Mentor and coach team members, encouraging their professional growth and supporting them in reaching their full potential The skills you will need to be successful in the above: Proven track record of successfully leading the development of AI products from ideation to large-scale production Experience in leading and managing engineering teams, providing technical and career guidance to team members Big tech people management experience combined with startup mindset Solid mathematical foundation in deep learning techniques, LLM and NLP, with a strong preference for experience in document understanding technologies Strong background in general software development, beyond AI/ML Proficiency in Python; experience with Swift is preferred but not required Passion for AI technologies and a deep conviction in their potential to bring positive transformation to the way people work and live Excellent problem-solving skills and ability to think critically Ability to thrive and create clarity in a fast-paced, collaborative environment Excellent communication skills, both verbal and written Deep understanding of best practices in software development life cycles, project management, and engineering management Even if you don't meet all the criteria listed above, we would still love to hear from you! Goodnotes places a lot of value on learning and development and will support your growth if needed. The interview process: An introductory call with someone from our talent acquisition team. They want to hear more about your background, what you are looking for, and why you'd like to join Goodnotes Live system design & Technical interview: A live system design exercise with one of our engineers. This is where you get to see what it would be like working at Goodnotes as well as the chance to ask any engineering questions you may have Hiring Manager interview: A call with your hiring manager. This is the person who will be managing you day to day, working on your growth and development with you as well as support you throughout your career at Goodnotes. SVP of Engineering interview: A call with our SVP of Engineering who is overseeing and managing entire engineering function in Goodnotes Values interview – Meeting with members of the Goodnotes Team to answer questions relating to take ownership AND build great things What's in it for you: Meaningful equity in a profitable tech startup Budget for things like noise-cancelling headphones, setting up your home office, personal development, professional training, and health & wellness Sponsored visits to our Hong Kong or London office every 2 years Company-wide annual offsite (we met in Lisbon in 2023, Bali in 2024, and Istanbul in 2025) Flexible working hours and location Medical insurance for you and your dependents Note: Employment is contingent upon successful completion of background checks, including verification of employment, education, and criminal records.