444 Data Intelligence jobs in the United Kingdom

Job Title: Business Intelligence Data Analyst
Location: Middlesex

12 Month Contract

Salary up to 65k + Benefits

Job Type: Full-time
Department: Sales Operations / Business Analytics

Job Overview

Are you passionate about transforming data into strategic insights that drive business success? We are looking for a Business Intelligence Data Analyst to support our Global Virtual Sales (GVS) team across EMEA. This role is essential to enabling data-driven decision-making that maximizes sales effectiveness and enhances operational efficiency.

As part of a dynamic and collaborative environment, you'll work closely with cross-functional teams-including Sales, Finance, Operations, Strategy & Planning, and IT-to analyze complex datasets and deliver actionable insights. Your work will directly influence how we execute our Sales Go-to-Market strategy and shape the future of virtual selling

Key Responsibilities

• Enable and support data-driven decision-making across sales operations to enhance productivity and revenue growth.

• Conduct advanced analysis of complex datasets spanning sales, operations, marketing, and planning.

• Design and develop reports and dashboards to track performance, identify trends, and uncover growth opportunities.

• Collaborate with global and regional teams to ensure business continuity and alignment across functions.

• Work with data engineering and IT teams to integrate, clean, and optimize data pipelines and analytical tools.

• Partner with internal Business Intelligence groups to evolve analytics capabilities, specifically within the virtual sales ecosystem.

• Translate business questions into analytical problems and provide data-backed recommendations.

Minimum Qualifications

• 5+ years of experience in a Business Intelligence, Data Analyst, or Applied Analytics role.

• Proven ability to analyze and interpret complex data to deliver clear insights and strategic recommendations.

• Exceptional attention to detail, a high degree of intellectual curiosity, and the ability to manage multiple priorities.

• Advanced Excel skills, including pivot tables, formulas, and data modeling.

• Hands-on experience with ETL tools (e.g., Alteryx, KNIME, Tableau Prep).

• Intermediate to advanced proficiency in data visualization platforms such as Tableau, Power BI, QlikView, or Domo.

Preferred Qualifications

• Experience in sales operations or go-to-market strategy analytics.

• Knowledge of CRM systems like Salesforce.

• Familiarity with SQL, Python, or R for data manipulation and analysis.

• Experience working in a large-scale enterprise environment with cross-functional global teams.

People Source Consulting Ltd is acting as an Employment Business in relation to this vacancy. People Source specialise in technology recruitment across niche markets including Information Technology, Digital TV, Digital Marketing, Project and Programme Management, SAP, Digital and Consumer Electronics, Air Traffic Management, Management Consultancy, Business Intelligence, Manufacturing, Telecoms, Public Sector, Healthcare, Finance and Oil & Gas.

**AVEVA is creating software trusted by over 90% of leading industrial companies.**
**Job Title:**  Lead Data and Intelligence Analyst
**Location:**  London/Cambridge - Hybrid
**Employment Type:** Full-Time
**The job**
We are seeking a highly skilled and hands-on Lead Data and Intelligence Analyst, ensuring that data solutions directly support commercial strategy and performance.
The successful candidate will be an expert in Power BI and proficient in SQL, with practical experience in building data engineering pipelines within the Microsoft ecosystem. This role requires a blend of technical expertise, business acumen, and stakeholder engagement, along with the ability to provide leadership and mentorship to junior analysts.
**Key Responsibilities:**
+ **Commercial Intelligence** - Deliver and enable the analyticsstrategy to ensure a "single version of the truth" for reporting and decision-making.Ensure development is aligned to delivering on AVEVA's commercial goals.
+ **Power BI Development** - Design, development, and optimisation of advanced dashboards, reports, and models within Power BI, ensuring usability and scalability across the business.
+ **SQL & Data Modelling** - Develop, optimize, and maintain complex SQL queries to support analytics and reporting requirements.
+ **Data Analysis** - Perform deep-dive and ad-hoc analyses, generating actionable insights to address commercial challenges and opportunities.
+ **Data Engineering Pipelines** - Design and maintain ETL/ELT pipelines using Microsoft-based tools (e.g., Data Factory, Synapse, Fabric pipelines), ensuring data quality, integrity, and timeliness.
+ **Stakeholder Engagement** - Collaborate with senior commercial, sales, and operations leaders to understand requirements, design analytical solutions, and translate complex datasets into actionable insights.
+ **Leadership & Mentorship** - Provide technical leadership to junior analysts, fostering best practices in BI, data engineering, and stakeholder management.
+ **Continuous Improvement** - Stay current with Microsoft BI & Fabric updates, recommending and implementing improvements to data workflows and reporting.
**Essential requirements:**
+ Bachelor's degree in a STEM discipline (or equivalent experience).
+ 7+ years of experience in analytics, BI, or data engineering, with at least 2-3 years in a senior or lead role.
+ Expertise in Power BI - advanced DAX, data modelling, performance optimization, and deployment.
+ Strong SQL proficiency with proven experience in query optimization.
+ Hands-on experience with Azure Data Factory, Synapse, or Fabric pipelines.
+ Strong communication and presentation skills, able to engage effectively with stakeholders at all levels.
+ Ability to translate business needs into technical solutions and deliver measurable business impact.
+ Strong attention to detail with a track record of delivering high-quality, accurate, and scalable BI solutions.
**Commercial** **at AVEVA**
Our Commercial team, comprised of over 2,000 dedicated colleagues, is the backbone of our customer relationships and business growth. From industry experts and solution architects to sales, support, success managers, and business operations, everyone shares a common goal: to deeply understand our customers' needs and deliver tailored solutions.
If you're passionate about driving growth, tackling complex business challenges, and fostering strong customer relationships, you'll find success and fulfilment in our Commercial team.
Find out more: Benefits include:**
Flexible benefits fund, emergency leave days, adoption leave, 28 days annual leave (plus bank holidays), pension, life cover, private medical insurance, parental leave, education assistance program.
It's possible we're hiring for this position in multiple countries, in which case the above benefits apply to the primary location. Specific benefits vary by country, but our packages are similarly comprehensive.
Find out more: aveva.com/en/about/careers/benefits/
**Hybrid working**
By default, employees are expected to be in their local AVEVA office three days a week, but some positions are fully office-based. Roles supporting particular customers or markets are sometimes remote.
**Hiring process**
Interested? Great! Get started by submitting your cover letter and CV through our application portal. AVEVA is committed to recruiting and retaining people with disabilities. Please let us know in advance if you need reasonable support during your application process.
Find out more: aveva.com/en/about/careers/hiring-process
**About AVEVA**
AVEVA is a global leader in industrial software with more than 6,500 employees in over 40 countries. Our cutting-edge solutions are used by thousands of enterprises to deliver the essentials of life - such as energy, infrastructure, chemicals, and minerals - safely, efficiently, and more sustainably.
We are committed to embedding sustainability and inclusion into our operations, our culture, and our core business strategy. Learn more about how we are progressing against our ambitious 2030 targets: sustainability-report.aveva.com/
Find out more: aveva.com/en/about/careers/
AVEVA requires all successful applicants to undergo and pass a drug screening and comprehensive background check before they start employment. Background checks will be conducted in accordance with local laws and may, subject to those laws, include proof of educational attainment, employment history verification, proof of work authorization, criminal records, identity verification, credit check. Certain positions dealing with sensitive and/or third-party personal data may involve additional background check criteria.
AVEVA is an Equal Opportunity Employer. We are committed to being an exemplary employer with an inclusive culture, developing a workplace environment where all our employees are treated with dignity and respect. We value diversity and the expertise that people from different backgrounds bring to our business. AVEVA provides reasonable accommodation to applicants with disabilities where appropriate. If you need reasonable accommodation for any part of the application and hiring process, please notify your recruiter. Determinations on requests for reasonable accommodation will be made on a case-by-case basis.
Empowering you with pioneering tech
AVEVA is a global leader in industrial software. Our cutting-edge solutions are used by thousands of enterprises to deliver the essentials of life - such as energy, infrastructure, chemicals and minerals - safely, efficiently and more sustainably.
We're the first software business in the world to have our sustainability targets validated by the SBTi, and we've been recognized for the transparency and ambition of our commitment to diversity, equity, and inclusion. We've also recently been named as one of the world's most innovative companies.
If you're a curious and collaborative person who wants to make a big impact through technology, then we want to hear from you! Find out more at AVEVA Careers ( .
For more information about our privacy policy and how to manage cookies, visit our Privacy Policy ( .

**AVEVA is creating software trusted by over 90% of leading industrial companies.**
**Job Title:**  Lead Data and Intelligence Analyst
**Location:**  London/Cambridge - Hybrid
**Employment Type:** Full-Time
**The job**
We are seeking a highly skilled and hands-on Lead Data and Intelligence Analyst, ensuring that data solutions directly support commercial strategy and performance.
The successful candidate will be an expert in Power BI and proficient in SQL, with practical experience in building data engineering pipelines within the Microsoft ecosystem. This role requires a blend of technical expertise, business acumen, and stakeholder engagement, along with the ability to provide leadership and mentorship to junior analysts.
**Key Responsibilities:**
+ **Commercial Intelligence** - Deliver and enable the analyticsstrategy to ensure a "single version of the truth" for reporting and decision-making.Ensure development is aligned to delivering on AVEVA's commercial goals.
+ **Power BI Development** - Design, development, and optimisation of advanced dashboards, reports, and models within Power BI, ensuring usability and scalability across the business.
+ **SQL & Data Modelling** - Develop, optimize, and maintain complex SQL queries to support analytics and reporting requirements.
+ **Data Analysis** - Perform deep-dive and ad-hoc analyses, generating actionable insights to address commercial challenges and opportunities.
+ **Data Engineering Pipelines** - Design and maintain ETL/ELT pipelines using Microsoft-based tools (e.g., Data Factory, Synapse, Fabric pipelines), ensuring data quality, integrity, and timeliness.
+ **Stakeholder Engagement** - Collaborate with senior commercial, sales, and operations leaders to understand requirements, design analytical solutions, and translate complex datasets into actionable insights.
+ **Leadership & Mentorship** - Provide technical leadership to junior analysts, fostering best practices in BI, data engineering, and stakeholder management.
+ **Continuous Improvement** - Stay current with Microsoft BI & Fabric updates, recommending and implementing improvements to data workflows and reporting.
**Essential requirements:**
+ Bachelor's degree in a STEM discipline (or equivalent experience).
+ 7+ years of experience in analytics, BI, or data engineering, with at least 2-3 years in a senior or lead role.
+ Expertise in Power BI - advanced DAX, data modelling, performance optimization, and deployment.
+ Strong SQL proficiency with proven experience in query optimization.
+ Hands-on experience with Azure Data Factory, Synapse, or Fabric pipelines.
+ Strong communication and presentation skills, able to engage effectively with stakeholders at all levels.
+ Ability to translate business needs into technical solutions and deliver measurable business impact.
+ Strong attention to detail with a track record of delivering high-quality, accurate, and scalable BI solutions.
**Commercial** **at AVEVA**
Our Commercial team, comprised of over 2,000 dedicated colleagues, is the backbone of our customer relationships and business growth. From industry experts and solution architects to sales, support, success managers, and business operations, everyone shares a common goal: to deeply understand our customers' needs and deliver tailored solutions.
If you're passionate about driving growth, tackling complex business challenges, and fostering strong customer relationships, you'll find success and fulfilment in our Commercial team.
Find out more: Benefits include:**
Flexible benefits fund, emergency leave days, adoption leave, 28 days annual leave (plus bank holidays), pension, life cover, private medical insurance, parental leave, education assistance program.
It's possible we're hiring for this position in multiple countries, in which case the above benefits apply to the primary location. Specific benefits vary by country, but our packages are similarly comprehensive.
Find out more: aveva.com/en/about/careers/benefits/
**Hybrid working**
By default, employees are expected to be in their local AVEVA office three days a week, but some positions are fully office-based. Roles supporting particular customers or markets are sometimes remote.
**Hiring process**
Interested? Great! Get started by submitting your cover letter and CV through our application portal. AVEVA is committed to recruiting and retaining people with disabilities. Please let us know in advance if you need reasonable support during your application process.
Find out more: aveva.com/en/about/careers/hiring-process
**About AVEVA**
AVEVA is a global leader in industrial software with more than 6,500 employees in over 40 countries. Our cutting-edge solutions are used by thousands of enterprises to deliver the essentials of life - such as energy, infrastructure, chemicals, and minerals - safely, efficiently, and more sustainably.
We are committed to embedding sustainability and inclusion into our operations, our culture, and our core business strategy. Learn more about how we are progressing against our ambitious 2030 targets: sustainability-report.aveva.com/
Find out more: aveva.com/en/about/careers/
AVEVA requires all successful applicants to undergo and pass a drug screening and comprehensive background check before they start employment. Background checks will be conducted in accordance with local laws and may, subject to those laws, include proof of educational attainment, employment history verification, proof of work authorization, criminal records, identity verification, credit check. Certain positions dealing with sensitive and/or third-party personal data may involve additional background check criteria.
AVEVA is an Equal Opportunity Employer. We are committed to being an exemplary employer with an inclusive culture, developing a workplace environment where all our employees are treated with dignity and respect. We value diversity and the expertise that people from different backgrounds bring to our business. AVEVA provides reasonable accommodation to applicants with disabilities where appropriate. If you need reasonable accommodation for any part of the application and hiring process, please notify your recruiter. Determinations on requests for reasonable accommodation will be made on a case-by-case basis.
Empowering you with pioneering tech
AVEVA is a global leader in industrial software. Our cutting-edge solutions are used by thousands of enterprises to deliver the essentials of life - such as energy, infrastructure, chemicals and minerals - safely, efficiently and more sustainably.
We're the first software business in the world to have our sustainability targets validated by the SBTi, and we've been recognized for the transparency and ambition of our commitment to diversity, equity, and inclusion. We've also recently been named as one of the world's most innovative companies.
If you're a curious and collaborative person who wants to make a big impact through technology, then we want to hear from you! Find out more at AVEVA Careers ( .
For more information about our privacy policy and how to manage cookies, visit our Privacy Policy ( .

**Job Description**
**Are You Ready to Make It Happen at Mondelēz International?**
**Join our Mission to Lead the Future of Snacking. Make It** **With** **Pride.**
You will be crucial in supporting our business by leading a team of data scientists, supporting them in applying the best analytical methods to improve the statistical forecast and overcome business challenges. You will work with various stakeholders to determine how to use business data for business solutions/insights.
**About the role**
In this role you will:
+ Build and develop a high-performing team, fostering a culture of collaboration, continuous learning, and professional growth.
+ Mentor and coach team members to unlock their full potential by ensuring a supportive and inclusive work environment.
+ Support the team in analyzing and deriving value from data using application methods such as statistics, time series modelling, machine learning and data visualization. 
+ Help the team determine, create and maintain the best time series / machine learning models be to use, taking into accountSKU demand behavior using segmentation strategies, to generate high quality statistical demand forecast with low forecast error and bias.
+ Partner with Demand Planning teams in markets to understand business challenges, create valuable, actionable data insights, and communicate findings to the business.
+ Collaborate with stakeholders toidentify and clarify business or technical questions that need to be answered. Provide feedback to translate and refine business questions into actions.
**The experience we are looking for:**
+ A desire to drive your future and accelerate your career and the following experience and knowledge:
+ Proven leadership and people management skills, with at least 3 years of experience building and developing high-performing teams.
+ 5+ years of experience in data science, preferably with a focuson time series forecasting,FMCG, Food & Beverages, Retail or similar industries with a proven track record of delivering effective business solutions.
+ Experience in application of ML concepts and methodologies (particularlytime series modeling, but also regression, classification, feature engineering and selectionetc.)
+ Proficiency in SAS, SQL, Python,and other programming languages to communicate effectively with technical teams.
+ Excellent communication and presentation skills, ability to explaincomplex analytical topics to both technical and non-technical stakeholders.
+ Advanced English
**What we offer**
+ Exciting work in a multi-cultural team of bright minds.
+ Global career opportunities.
+ Flexible remote work options, or - if you prefer - access to one of our modern offices.
+ All kinds of benefits depending on the location.
**More about this role**
**What you need to know about this position:**
**What extra ingredients you will bring:**
**Education / Certifications:**
**Job specific requirements:**
**Travel requirements:**
**Work schedule:**
**Relocation Support Available?**
**Business Unit Summary**
**We value our talented employees, and whenever possible strive to help one of our associates grow professionally before recruiting new talent to our open positions. If you think the open position you see is right for you, we encourage you to apply!**
**_Our people make all the difference in our succes_**
Mondelēz International is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation or preference, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law.
**Excited to grow your career?**
We value our talented employees, and whenever possible strive to help one of our associates grow professionally before recruiting new talent to our open positions. If you think the open position you see is right for you, we encourage you to apply!
**IF YOU REQUIRE SUPPORT TO COMPLETE YOUR APPLICATION OR DURING THE INTERVIEW PROCESS, PLEASE CONTACT THE RECRUITER**
**Job Type**
Regular
Analytics & Modelling
Analytics & Data Science
At Mondelēz International, our purpose is to empower people to snack right through offering the right snack, for the right moment, made the right way. That means delivering a broader range of delicious, high-quality snacks that nourish life's moments, made with sustainable ingredients and packaging that consumers can feel good about.
We have a rich portfolio of strong brands - both global and local. Including many household names such as Oreo, belVita and LU biscuits; Cadbury Dairy Milk, Milka and Toblerone chocolate; Sour Patch Kids candy and Trident gum. We are proud to hold the number 1 position globally in biscuits, chocolate and candy as well as the No. 2 position in gum
Our 80,000 Makers and Bakers are located in our operations in more than 80 countries and are working to sell our products in over 150 countries around the world. They are energized for growth and critical to us living our purpose and values. We are a diverse community that can make things happen, and happen fast.
Join us and Make It An Opportunity!
Mondelez Global LLC is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected Veteran status, sexual orientation, gender identity, gender expression, genetic information, or any other characteristic protected by law. Applicants who require accommodation to participate in the job application process may contact for assistance.

**Summary:**
As a Data Science Manager at Meta, you will help shape the future of the experiences we build for billions of people and hundreds of millions of businesses, creators, and partners around the world.You will apply your people leadership, project management, analytical, and technical skills, creativity, and product intuition to one of the largest data sets in the world. You will collaborate on a wide array of product and business problems with a wide-range of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance and others. You will influence product strategy and investment decisions with data, be focused on impact, and lead and grow a impact oriented team. By joining Meta, you will become part of the analytics community dedicated to skill development and career growth in analytics and beyond.About the role:Product leadership: You will use data to understand the product and business ecosystem, quantify new opportunities, identify upcoming challenges, and shape product development to bring value to people, businesses, and Meta. You will help develop strategy and support leadership in prioritizing what to build and setting goals for execution.Analytics: You will guide product teams using data and insights. You will focus on developing hypotheses and employ a varied toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them.Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence leaders using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner.People leadership: You will inspire, lead and grow a team of data scientists and data science leaders.
**Required Skills:**
Data Science Manager Responsibilities:
1. Lead a team of data scientists to develop strategies for our products that serve billions of people and hundreds of millions of businesses, creators, and partners around the world
2. Drive analytics projects end-to-end in partnership with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions
3. Influence product direction through clear and compelling presentations to leadership
4. Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches
5. Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends
6. Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations
7. Contribute towards advancing the Data Science discipline at Meta, including but not limited to driving data best practices (e.g. analysis, goaling, experimentation), improving analytical processes, scaling knowledge and tools, and mentoring other data scientists
**Minimum Qualifications:**
Minimum Qualifications:
8. Currently has, or is in the process of obtaining, a Bachelor's degree or equivalent practical experience. Degree ideally should be completed before joining Meta
9. A minimum of 4 years of work experience (2+ years with a Ph.D.) in applied analytics, including a minimum of 2 years of experience managing analytics teams
10. Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R)
11. Experience initiating and completing analytical projects with minimal guidance
12. Experience communicating results of analysis to leadership
**Preferred Qualifications:**
Preferred Qualifications:
13. Proven track record of leading impact oriented analytics teams.
14. Master's or Ph.D. degree in Mathematics, Statistics, Computer Science, Engineering, Economics, or another quantitative field.
15. Experience working in technology, consulting, or finance.
**Industry:** Internet

Our client, a forward-thinking analytics firm, is excited to offer a Data Science Graduate an internship opportunity to kickstart their career in a dynamic and supportive environment. This role, based in Nottingham, Nottinghamshire, UK , offers a hybrid working model, providing a valuable mix of in-person mentorship and remote project work. We are looking for bright, motivated individuals with a recent degree in Data Science, Statistics, Computer Science, Mathematics, or a related quantitative field.

As a Data Science Graduate Intern, you will work closely with our experienced data science team on real-world projects. Your responsibilities will include data collection, cleaning, and preprocessing; exploratory data analysis to identify trends and patterns; building and testing predictive models; and assisting in the visualization and interpretation of data insights. You will gain hands-on experience with various data science tools and programming languages, such as Python (with libraries like Pandas, NumPy, Scikit-learn) and R, as well as SQL for database management. Opportunities to learn about machine learning algorithms, statistical modeling techniques, and data storytelling will be provided.

We require strong analytical and problem-solving skills, a keen eye for detail, and a genuine passion for data. Excellent communication skills, both written and verbal, are essential for presenting findings and collaborating with team members. Familiarity with data visualization tools (e.g., Matplotlib, Seaborn, Tableau) is a plus. This internship is designed to provide comprehensive training and exposure to the entire data science workflow. It is an ideal stepping stone for graduates seeking to build a successful career in data science, offering the chance to contribute meaningfully to projects and develop a robust professional portfolio. We value curiosity, eagerness to learn, and a collaborative spirit.

Our client is offering an exceptional opportunity for a driven and curious individual to embark on a career in Data Science through a fully remote apprenticeship program. This role is designed for someone with a passion for technology and a keen analytical mind, eager to learn and contribute to cutting-edge data projects. As a Data Science Apprentice, you will work alongside experienced data scientists and analysts, gaining hands-on experience in collecting, cleaning, analysing, and interpreting complex datasets. You will be trained on various data science tools and techniques, including machine learning algorithms, statistical modelling, and data visualization.

The apprenticeship will provide a structured learning path, combining on-the-job training with formal study towards a recognised qualification. You will be involved in developing predictive models, building dashboards, and extracting actionable insights that drive business decisions. This position requires excellent problem-solving skills, a strong attention to detail, and the ability to work independently and collaboratively in a virtual team environment. You will be expected to contribute ideas, ask questions, and actively participate in team discussions and project meetings. A foundational understanding of mathematics and statistics would be advantageous, as would basic programming knowledge (e.g., Python, R), though comprehensive training will be provided. This is a fantastic stepping stone for anyone aspiring to a career in data analytics or data science, offering practical experience and professional development in a supportive, remote-first setting.

Responsibilities:

• Assist in data collection, cleaning, and preprocessing from various sources.
• Support data analysis and interpretation to identify trends and patterns.
• Learn and apply machine learning algorithms and statistical models under guidance.
• Contribute to the development of data visualizations and reports.
• Participate in team meetings and project discussions.
• Collaborate with senior data scientists and analysts on ongoing projects.
• Undertake formal study as part of the apprenticeship program.
• Assist in evaluating the performance of data models and algorithms.
• Maintain accurate documentation of data processes and findings.
• Develop a strong understanding of data ethics and governance.

Qualifications:

• Minimum of 5 GCSEs at grade C/4 or above, including Maths and English, or equivalent qualifications.
• Strong analytical and problem-solving abilities.
• Interest in data, technology, and mathematics.
• Basic understanding of programming concepts (e.g., Python) is beneficial but not essential.
• Excellent communication skills, both written and verbal.
• Ability to work independently and manage time effectively in a remote setting.
• Eagerness to learn and adapt to new technologies and methodologies.
• Team player with a positive attitude.

This apprenticeship is based in Oxford, Oxfordshire, UK , but is fully remote.

Join to apply for the

Data Science Engineer

role at

TieTalent

OverviewnWe are seeking a skilled Data Science Engineer with a strong background in data science and experience in developing AI solutions. While a background in life sciences or clinical knowledge is preferred, it is not mandatory. This is an exciting opportunity to work on cutting-edge projects, leveraging your expertise in LLMs (Large Language Models) and AI technologies.

Responsibilities

Develop and implement AI-driven solutions for complex data science challenges.

Work with Large Language Models (LLMs) to create and optimize intelligent systems.

Collaborate with cross-functional teams to ensure solutions meet project requirements.

Contribute to projects in the pharma/life sciences domain (if applicable).

Qualifications

Minimum 5 years of experience in AI solution development.

Hands-on experience with Large Language Models (LLMs).

Proven track record as a Data Science Developer/Engineer

Senioriy level

Mid-Senior level

Employment type

Full-time

Job function

Information Technology

Industries

Technology, Information and Internet

EEO statement and other relevant legal disclosures are retained as applicable.

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