Job Title: Data Scientist – Salesforce & Generative AI Platforms
Location: Bengaluru, Karnataka, India
Department: Innovation Capability Center (ICC) / Digital Transformation
Employment Type: Full-Time
Travel: As required
Role Overview:
Takeda is seeking a talented Data Scientist to join its Innovation Capability Center (ICC) in Bengaluru, India. This role is a key part of Takeda’s global digital transformation initiative, focusing on Salesforce Data Cloud, Agentforce, and Generative AI platforms. You will develop innovative AI-powered solutions, optimize workflows, and enable data-driven decision-making across commercial and medical functions, contributing to better patient outcomes worldwide.
Key Responsibilities:
Design, develop, and deploy AI solutions using Salesforce Data Cloud, Agentforce (GENETIC AI), Einstein, and other AI frameworks.
Build and optimize generative AI applications leveraging LLMs (e.g., OpenAI GPT, LLaMA, Gemini) for domain-specific use cases.
Create effective prompts, fine-tune models, and integrate AI solutions into production environments.
Develop APIs, microservices, and end-to-end pipelines for AI solutions.
Act as the technical lead for agentic UI experiences for commercial and medical users, using React.js, HTML, CSS, and UI frameworks (Bootstrap, Material UI, Semantic UI).
Clarify technical requirements in backlog items and implement development tasks according to best practices.
Collaborate with product managers, data scientists, and engineers to define requirements and deliver AI-powered solutions.
Collect, clean, and preprocess datasets for model training and evaluation.
Conduct experiments with model architectures, hyperparameters, and training strategies to enhance AI performance.
Implement AI governance, bias detection, and responsible AI practices in compliance with ethical and regulatory standards.
Stay updated on advancements in generative AI, NLP, multimodal AI, and pharma-specific AI applications.
Provide guidance on reusability of AI features across business functions and suggest innovative solutions.
Qualifications & Experience:
Bachelor’s degree in Computer Science or a related field, or equivalent professional experience.
3+ years of professional experience in UI/UX development, AI/ML, and data-driven solutions.
Strong proficiency in Salesforce Data Cloud and Agentforce platforms.
Hands-on experience with Python, TensorFlow, PyTorch, or similar ML frameworks.
Expertise in Large Language Models (LLMs), transformers, and generative AI architectures.
Knowledge of prompt engineering, fine-tuning techniques, and AI integration in enterprise environments.
Experience with APIs, REST, and microservice development.
Strong understanding of Agile development methods (Scrum, Kanban).
Excellent communication skills and business acumen, with experience in stakeholder management.
Familiarity with pharma industry requirements and AI application in healthcare preferred.
Ability to work in virtual, cross-cultural, and cross-functional teams.
Why Join Takeda ICC:
Be at the forefront of digital innovation in pharma, leveraging AI and cloud technologies to drive global impact.
Access to cutting-edge tools, training programs, and a diverse, inclusive, and collaborative work environment.
Competitive salary, annual performance bonus, and comprehensive benefits, including healthcare, wellness programs, parental leaves, and more.
Opportunity to contribute to transformative solutions improving patient outcomes and business operations worldwide.
Equal Opportunity Statement:
Takeda is committed to diversity, equity, and inclusion and encourages applications from all qualified candidates. All employees and applicants are considered without regard to race, gender, religion, national origin, disability, veteran status, or other legally protected characteristics.
Gujarat :
Ahmedabad | Ankleshwar | Baroda | Bharuch | Gandhinagar | Gujarat | Halol | Jhagadia | Mehsana | surat | Tarasadi | Vadodara | Vapi |Maharashtra :
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Baddi | Solan |Rajasthan :
Banasthali | Bhiwadi | Jaipur | Pilani | Udaipur |Karnataka :
Bangalore | Belgaum | Bengaluru | B.G Nagara | Bommasandra | Colorado | Czech Republic | Karnataka | Mangaluru | Mysore | Udupi |Punjab :
Bathinda | Bela | Chandigarh | ludhiana | Moga | Mohali | Patiala | Phagwara | Rajpura |Madhya Pradesh :
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Bilaspur | Eot Municipality | Raipur |Uttarakhand :
Dehradun | Halifax | Nainital | Rishikesh | Roorkee |Delhi :
Delhi | India | New Delhi | PAN-India |Assam :
Dibrugarh | Diburghar | Guwahati |West Bengal :
Digha | Kolkata | Mukundapur |Uttar Pradesh :
Gajraula | Gautam buddha Nagar | Ghaziabad | Gorakhpur | Greater Noida | Jhansi | Lucknow | Mathura | Noida | Park City | Prayagraj | Satyamev | Varanasi |Goa :
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Hajipur | Patna |Kerala :
Kannur | Kochi | Malappuram | Thiruvananthapuram | Trivandrum |Pondicherry (Puducherry) :
Pondicherry (Puducherry) |Jharkhand :
Ranchi |Sikkim :
Rangpo |India :
Siliguri |Illinois :
Abbott Park | Bloomingdale | Champaign | Chicago | Deerfield | Glenview | Lake Forest | Lombard | Naperville | Norridge | Park RIdge | Round Lake |Maryland :
Aberdeen | Baltimore | Bel Air | Cheverly | Columbia | Elkridge | Gaithersburg | Largo | Linthicum | Rockville | Towson | Upper Marlboro | White Plains |Texas :
Abilene | Arlington | Austin | Boerne | Brenham | Bulverde | Carrollton | Cedar Hill | Corpus Christi | Corsicana | Dallas | Denton | El Paso | Fort Worth | Garland | Houston | Lakeway | Longview | Mcallen | North Richland Hills | Plano | Richardson | San Antonio | Seguin | Tyler | Waco |California :
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Anchorage | Barrow | Bethel | Juneau | Sitka | Wrangell |Massachusetts :
Andover | Billerica | Boston | Cambridge | Devens | Lexington | Massachusetts | Medford and Somerville | Rockland |Wisconsin :
Appleton | Kenosha | Pleasant Prairie | Portage | Waukesha |United states :
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Chandler | Kingman | Lake Havasu City | Mesa | Peridot | Phoenix | Surprise | Tempe | Tucson | Yuma |South Carolina :
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Duluth | Eden Prairie | Fridley | Hibbing | Maple Grove | Minneapolis and St. Paul, Minnesota. | Minnetonka | St.Paul |Kentucky :
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Frank Scottile Blvd |Missouri :
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Arkansas | Remote Australia |New South Wales :
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England | Harlow | Leeds | London | Maidenhead | Salt Lake City | Stevenage | Stirling | United Kingdom |North Yorkshire :
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Tallinn |Hà Nội :
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Bangkok |Israel :
Tel Aviv | Netanya | Be'Er Sheva | Kfar Saba | Yavne |Remote :
Bishop | Blue Bell | Remote - South America (Latin Americal) | Melbourne | Nairobi | Remote - Middle East | Regulatory Labeling Manager (NA and LATAM Only) | Faridabad | Ireland | Tulsa | Zaragoza | Remote - Europe | Lenexa | McFarland | Hammond | Medan | Minnesota | Remote - Africa | Riga | Victoria | Castlebar | Lousiana | Springville | French | Bountiful | Hungary | Slovakia | Leinster | Remote, USA | Green Way | Remote | Thailand | Switzerland | Manipal | Xzagreb | Texas | Belgium |Republic of Colombia :
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Kyiv |Lima Region :
Lima |France :
Lyon | Paris |South Africa :
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